Abstract
Purpose
Abdominal wall hernias account for a substantial operative caseload in general surgery globally. Optimal hernia care should be tailored to individual circumstances. To repair the three-dimensional (3D) abdominal wall, 3D-printed patient-specific implants may be superior to current mesh products. The aim was to review the current state of 3D printing technology in custom hernia mesh production, and its safety and efficacy for tailored hernia care.
Methods
A literature search within PubMed and Scopus databases were performed in March 2025, in accordance to PRISMA-ScR framework, using keyword combinations of printing, mesh, hernia, safety, efficacy and their derivatives. Full-text papers relevant to the study aim in all formats and languages were included, and risk of bias assessment was performed. The review was not eligible for registration with PROSPERO. Papers were grouped by general theme, and a narrative synthesis was performed.
Results
Thirty relevant papers were identified from 14,210 abstracts. Literature on 3D-printed hernia mesh was sparse, with majority of papers being preclinical. General focus of the literature was production, cellular toxicity, performance of adjuncts and short-term tolerance in small animals. Risk of bias was globally high to critical, due to underreporting of in vitro and in vivo methodology. Safety and clinical efficacy of 3D-printed mesh remained unknown. Numerous issues, including production, sterilisation and regulations, were identified and discussed.
Conclusion
3D-printed hernia mesh is the next step towards tailored hernia care, with significant potential not otherwise available with traditional mesh products. Substantial research is still required to clarify its safety and efficacy.
Supplementary Information
The online version contains supplementary material available at 10.1007/s10029-025-03434-4.
Keywords: Hernia, Mesh, 3D printing, Integration, Index, Review
Introduction
Hernias are responsible for a substantial portion of operative caseload in general surgery [1]. Between 1990 and 2019, global hernia prevalence saw a 36% absolute rise, increasing from 23.9 million cases to 32.5 million cases [2]. Over a lifetime, one in four adult men are expected to develop an inguinal hernia [3, 4], and one in fifteen will develop an incisional hernia [5, 6]. Even with the best efforts of evidenced-based fascial closure techniques [7], incisional hernias continue to remain a material risk after abdominal wall surgeries [8, 9].
The current gold standard for hernia management is reduction of hernia sac, suture closure of defect and layer reinforcement with mesh [9]. Successful mesh repairs can be broadly understood as a two-step process, initiated by achieving mechanical compatibility in the short-term [10], and a subsequent transition to biomechanical stability in the long-term [11]. An unstable mesh tissue interface is prone to premature failure under physiological stresses and hinders cellular infiltration [12]. Mesh properties, such as effective porosity and immunogenicity, dictates the balance between tissue healing and foreign body fibrotic reaction [13–15]. Poorly shaped mesh, folding of mesh or mesh shrinkage negatively impact effective porosity, and is suspected to be a precipitator of chronic pain, seromas and hernia recurrence [11, 16].
Mounting evidence indicates that there is unlikely to be a ‘one size fits all’ option, and optimal hernia care should be tailored to individual circumstances [17]. The ideal hernia repair should be performed in a single planned operation with minimal disruption to local anatomical structures. Whilst the literature has generally focused on application of flat two-dimensional (2D) mesh, there is perhaps value in considering three-dimensional (3D) mesh as the next generation of repair materials. The abdominal wall is frequently approximated to a cylindrical structure out of convenience, yet it exhibits dynamic anisotropic behaviour during physiological activities, such as respiration, vomiting and coughing [12, 18]. It is unrealistic to expect that a uniformly woven 2D mesh will have 100% conformity to the surrounding dynamic 3D structures. Bending of 2D structures reduces effective porosity and places the repair at risk of poor mesh tissue integration. By conforming to local anatomy, 3D meshes have the potential to achieve better tissue integration and stability in the long term, and offers a promising avenue for patient-specific implant [19, 20].
Current 3D meshes approved for clinical use (e.g. Bard 3DMax™, Medtronic Parietex™ hydrophilic 3D mesh) are predominantly a multilayer construct, fabricated using traditional textile warp and weft knitting techniques and spacers. Marketed initially as fixation-free devices, the risk of migration, cost of implants and lack of long-term data have tempered initial enthusiasm [21–23]. This observation is perhaps less of a reflection of 3D mesh products, but more so on the fact that all hernia mesh repairs require some form of fixation or friction at the tissue interface, as demonstrated by Kallinowski’s critical resistance to impact pressure (CRIP) and gained resistance to impact pressure (GRIP) concepts [24]. Recent evidence suggests that short-term performance and behaviour of 3D meshes are on par with 2D meshes [25, 26]. While 3D contours can be produced using warp and weft knitting, the space-knitted domes continue to remain semi-generic and cannot precisely conform to patients’ individual anatomy. Since two abdominal walls are unlikely to have the same shape and resting physiological stresses, semi-generic knitted domes are not expected to achieve full conformity.
To achieve full conformity, a new method is required, such as 3D printing. 3D printing is an alternate pathway to creating anatomically contoured patient-specific mesh implants, and offers additional advantages not available with traditional textile techniques. The aim of this paper was to review the current state of 3D printing technology in custom hernia mesh production, and its safety and efficacy for tailored hernia care.
Methodology
A literature search was performed in accordance to Preferred Reporting Items for Systematic Reviews and Meta-Analyses Extension for Scoping Reviews (PRISMA-ScR) framework. PubMed and Scopus databases were searched in March 2025 using keyword combinations of printing, mesh, hernia, safety, efficacy and their derivatives (Table 1). Citation list was also searched. Full-text papers relevant to the study aim in all formats and languages were included. All other papers were excluded (Table 2). Non-English papers were interpreted using Google Cloud Translate [27]. Risk of bias was assessed using the SYRCLE tool for animal studies [28], ROBINS-Intervention tool for non-randomised human studies [29], and the OHAT tool for in vitro studies [30]. This scoping review was not eligible for registration with PROSPERO. Papers were grouped by general theme, and a narrative synthesis was performed.
Table 1.
Search strategy
| PubMed | (printing[Title/Abstract]) AND (mesh*[Title/Abstract]) (printing[Title/Abstract]) AND (hernia*[Title/Abstract]) (printing[Title/Abstract]) AND (safety[Title/Abstract]) (printing[Title/Abstract]) AND (efficacy[Title/Abstract]) |
|---|---|
| Scopus |
(TITLE-ABS-KEY (printing) AND TITLE-ABS-KEY (mesh) (TITLE-ABS-KEY (printing) AND TITLE-ABS-KEY (hernia) (TITLE-ABS-KEY (printing) AND TITLE-ABS-KEY (safety) (TITLE-ABS-KEY (printing) AND TITLE-ABS-KEY (efficacy) |
| Citation Search | References of included articles |
Table 2.
Inclusion and exclusion criteria
| Inclusion | Exclusion |
|---|---|
|
Abdominal wall Hernia Mesh 3D printing/4D printing/additive manufacturing Safety Efficacy Any language Any date Any format |
Full text not available Data not available Non-abdominal wall hernia mesh Does not discuss safety or efficacy |
Results
A total of 14,210 abstracts were identified from PubMed and Scopus. After excluding duplicates and irrelevant studies, 30 full-text papers were included (Fig. 1). No additional papers were identified from citation search. There were 23 experimental papers, 4 reviews, 2 book chapters and 2 perspectives (Tables 3, 4, 5 and 6). Government and university funding predominated, with minimal conflict of interest declared or evidence of biomedical industry involvement.
Fig. 1.
PRISMA chart
Table 3.
Papers identified
| Study ID | Title | Country | Funding level | Conflict of interest | Paper Type | Paper Focus |
|---|---|---|---|---|---|---|
| Ballard 2017 | Three-dimensional printing of bioactive hernia meshes: In vitro proof of principle | United States | Not specified | None declared | Experimental | Mesh |
| Ballard 2018 | 3D printing of surgical hernia meshes impregnated with contrast agents: in vitro proof of concept with imaging characteristics on computed tomography | United States | Government | Declared | Experimental | Mesh |
| CaleroCastro 2019 | Proof of concept, design, and manufacture via 3-D printing of a mesh with bactericidal capacity: Behaviour in vitro and in vivo | Spain | Not specified | None declared | Experimental | Mesh |
| Chen 2020 | Tensile properties and corrosion resistance of PCL-based 3D printed composites | China | Government | Not stated | Experimental | Mesh |
| Corduas 2021 | Next-generation surgical meshes for drug delivery and tissue engineering applications: materials, design and emerging manufacturing technologies | United Kingdom | University | None declared | Review | Mesh |
| Deveci 2024 | Multifunctional hernia repair biopatch: Development, characterization, in vitro and in vivo evaluation | Turkey | University | None declared | Experimental | Mesh |
| Dykema 2019 | Printing for the perfect fit: Balancing fda regulation of 3 d printed medical devices | United States | Not specified | Not specified | Perspective | Legal |
| Erwin 2023 | Clinical observation, imaging, and histopathology of 3D polypropylene mesh for abdominal hernia in rabbits | Indonesia | University | Not specified | Experimental | Mesh |
| Feitshans 2022 | 3D PRINTED MEDICAL DEVICES: ISSUES FOR PATIENT SAFETY | United States | Not specified | Not specified | Perspective | Legal |
| Foster 2017 | 3-Dimensional Printing in Medicine: Hype, Hope, and the Challenge of Personalized Medicine | United States | Not specified | Not specified | Book Chapter | Legal |
| Galvan-Chacon 2021 | 3D Printed vs. Commercial Polypropylene Surgical Meshes: A Comparative Analysis of Tensile Strength | Spain | Not specified | Not specified | Experimental | Mesh |
| Garnica-Bohorquez 2023 | Effect of Sterilization on the Dimensional and Mechanical Behavior of Polylactic Acid Pieces Produced by Fused Deposition Modeling | Colombia | Government | None declared | Experimental | Sterilisation |
| Georgantis 2019 | Quality and safety in medical 3D printing | Greece | Not specified | Not specified | Book Chapter | Legal |
| Hu 2021 | Topological Structure Design and Fabrication of Biocompatible PLA/TPU/ADM Mesh with Appropriate Elasticity for Hernia Repair | China | Government | None declared | Experimental | Mesh |
| Hu 2022 | Designing Double-Layer Multimaterial Composite Patch Scaffold with Adhesion Resistance for Hernia Repair | China | Government | None declared | Experimental | Mesh |
| Hu 2024 | 3D printing/electrospinning of a bilayered composite patch with antibacterial and antiadhesive properties for repairing abdominal wall defects | China | Government | None declared | Experimental | Mesh |
| Olmos-Juste 2022 | Tailor-Made 3D Printed Meshes of Alginate-Waterborne Polyurethane as Suitable Implants for Hernia Repair | Spain | Government | None declared | Experimental | Mesh |
| Perez-Kohler 2021 | New insights into the application of 3d-printing technology in hernia repair | Spain | Government | None declared | Review | Mesh |
| Pettersson 2024 | Core Legal Challenges for Medical 3D Printing in the EU | Finland | Government | None declared | Review | Legal |
| Qamar 2019 | Personalized 3D printed ciprofloxacin impregnated meshes for the management of hernia | Pakistan | Not specified | None declared | Experimental | Mesh |
| Ramos 2023 | Effectiveness in Sterilization of Objects Produced by 3D Printing with Polylactic Acid Material: Comparison Between Autoclave and Ethylene Oxide Methods | Brazil | None declared | None declared | Experimental | Sterilisation |
| RussoSerafini 2023 | 3D-Printed Medical-Grade Polycaprolactone (mPCL) Scaffold for the Surgical Treatment of Vaginal Prolapse and Abdominal Hernias | Australia | Government | Declared | Experimental | Mesh |
| Shea 2020 | A review of the manufacturing process and infection rate of 3D-printed models and guides sterilized by hydrogen peroxide plasma and utilized intra-operatively | China | Private | None declared | Experimental | Sterilisation |
| Shin 2021 | 3D-Bioprinted Inflammation Modulating Polymer Scaffolds for Soft Tissue Repair | United States | Not specified | None declared | Experimental | Mesh |
| Smietanski 2023 | Development and Implantation of 3D Anatomically Tailored Polypropylene Mesh for Laparoscopic Inguinal Hernia Repair Designed on the Basis of CT Images (the ILAM Study) | Poland | None declared | None declared | Experimental | Imaging |
| Song 2023 | Reconstruction of Abdominal Wall Defect with Composite Scaffold of 3D Printed ADM/PLA in a Rat Model | China | Government | None declared | Experimental | Mesh |
| Sterk 2023 | Development of New Surgical Mesh Geometries with Different Mechanical Properties Using the Design Freedom of 3D Printing | Portugal | Government | Not specified | Experimental | Mesh |
| Wang 2024 | Polyurethane-based three-dimensional printing for biological mesh carriers | China | Government | None declared | Experimental | Mesh |
| Yadav 2025 | Gelatin Multiwalled Carbon Nanotube Composite 3D Printed Semi Biological Mesh for Abdominal Hernia Treatment | India | Government | None declared | Experimental | Mesh |
| Yang 2020 | A smart scaffold composed of three-dimensional printing and electrospinning techniques and its application in rat abdominal wall defects | China | Government | None declared | Experimental | Mesh |
Table 4.
Details of experimental papers examining 3D-printed hernia mesh
| Study ID | 3D Printing Method | Composition | Additives/Adjuncts | Mesh Size | Mesh Pore Size | Mesh Tensile Strength | Sterilisation | Ex vivo Testing | In vitro – Test Conditions | In vitro - Assessment | In vivo –Test Conditions | In vivo - Assessment |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Ballard 2017 | FDM | Polylactic acid | Gentamicin | Not specified | Not specified | Not specified | Not specified | No | Mueller-Hinton agar plates with E. Coli or S. Aureus, 37° Celsius, 24 h incubation | Zone of inhibition | No | - |
| Ballard 2018 | FDM | Polycaprolactone |
Barium Iodine Gadolinium |
20 × 20 mm | Not specified | Not specified | Not specified | No | Sterile agar plate, 37° Celsius, 7 day incubation | Bacterial growth | No | - |
| CaleroCastro 2019 | FDM | Polycaprolactone |
Gentamicin Sodium alginate Calcium chloride |
20 × 20 mm |
1.25 × 1.25 mm 0.75 × 0.75 mm |
Not specified | UV light/steam autoclave | No | Agar plates with E. Coli, 37° Celsius, 24 h incubation | Zone of inhibition | 40 female Wistar rats, weight 236–281 g, with postmortem day 7 | Histology, adhesion |
| Chen 2020 | FDM | Polycaprolactone |
Chitosan, hydroxyapatite Sodium alginate |
Not specified | Not specified |
Up to 18.7 MPa (1,870 N/cm2) |
Potassium permanganate/sodium hypochlorite/acetic acid | Yes | No | - | No | - |
| Deveci 2024 | FDM | Polycaprolactone |
Ciprofloxacin Kappa carrageenan |
15 × 15 mm | 0.316 to 0.391 mm |
Up to 3.73 MPa (373 N/cm2) |
Not specified | Yes |
Mueller-Hinton agar plates with a bacteria (S. Aureus, E. Coli, S. Epidermis or P. aeruginosa), 37° Celsius, 24 h incubation Human fibroblast cells (CCD-1072Sk), Dulbecco’s modified Eagle medium, incubated at 37° Celsius, with 5% CO2 |
Zone of inhibition Cell viability |
56 male Wistar rats, 8–12 weeks old, weight 300–400 g, with postmortem day 14 and 28 | Histology, adhesion, biochemical analysis |
| Erwin 2023 | FDM | Polypropylene | None | 100 × 100 mm | Not specified |
Up to 321.67 kgf/mm2 (315,450 N/cm2) |
Not specified | Yes | No | - | 10 male New Zealand White Rabbits, 6–9 months old, weight 1–2 kg, with postmortem day 24, 48 and 96 | Histology, ultrasound, biochemistry |
| Galvan-Chacon 2021 | FDM | Polypropylene | None | Not specified | 0.08–0.2 mm2 |
Up to 31.3 MPa (3,130 N/cm2) |
Not specified | Yes | No | - | No | - |
| Hu 2021 | FDM | Polylactide acid | Thermoplastic polyurethane/acellular dermal matrix | 2.5 to 4 mm | Up to 17.3 N/cm, with 38.0% elongation | 75% alcohol for 1 h | Yes | Human umbilical vein endothelial cells, in Dulbecco’s modified Eagle’s culture medium, incubated at 37° Celsius, with 5% CO2 for 1, 3 or 5 days. | Cell viability, cell proliferation | 12 male Sprague-Dawley rats, weight 200 g, with postmortem day 28 | Adhesion, histology | |
| Hu 2022 | FDM | Polycaprolactone | Polyvinyl alcohol + soy peptide | 30 × 30 mm | Not specified | Up to 22.38 N/cm | Not specified | Yes | Human umbilical vein endothelial cells, in RPMI 1640 culture medium, incubated at 37° Celsius, with 5% CO2 for 3 days. | Cell viability, cell adhesion to mesh | 12 male Sprague-Dawley rats, weight 180–200 g, with postmortem day 28 | Adhesion, histology |
| Hu 2024 | FDM | Polycaprolactone |
Gelatine methacryl Sodium alginate Vancomycin |
20 × 20 mm | Not specified | Up to 22.38 N/cm | Not specified | Yes | Human umbilical vein endothelial cells, in Dulbecco’s modified Eagle’s culture medium, incubated at 37° Celsius, with 5% CO2 for 1, 3 or 5 days. | Cell viability, cell proliferation, cell adhesion to mesh | 12 male Sprague-Dawley rats, weight 180–200 g, with postmortem day 14 | Adhesion, histology |
| Olmos-Juste 2022 | FDM | Polyurethane |
Chloramphenicol Sodium alginate Calcium chloride |
50 × 58 mm | 2.8 mm | Up to 27.60 N/cm, with 46.86% elongation | UV light for 30 min | Yes | L929 fibroblasts, in FBS culture medium, incubated at 37° Celsius, with 5% CO2 for 3 or 7 days | Cell viability | No | - |
| Qamar 2019 | FDM |
Polypropylene Polyvinyl alcohol |
Ciprofloxacin | 100 × 100 × 0.8 mm | < 3 mm |
Up to 53 N/cm2 for polypropylene Up to 30 N/cm2 for polyvinyl alcohol |
Not specified | Yes | No | - |
20 male rabbit, weight 1 kg (species, postmortem time not specified) |
Adhesion, histology |
| Russo Serafini 2023 | FDM | Polycaprolactone | Platelet-rich plasma | 30 × 30 mm for abdominal wall mesh | 0.5 × 1 mm | Not specified | 80% ethanol for 5 min, UV light for 20 min | No | No | - |
6 sheep, postmortem month 3 and 6 (species, postmortem time not specified) |
Biomechanical, histological, immunohistochemistry, scanning electron microscopy |
| Shin 2021 | FDM | Polyvinyl alcohol | Sodium trimetaphosphate | Variable | Not specified |
Up to 2.25 MPa (2,250 N/cm2) |
Ethanol | Yes | Human dermal fibroblasts/human microvascular endothelial cells in Medium 106 and MCBD 131, incubated at 37° Celsius 5% CO2 for 72 h | Cell viability |
6 female Balb/c mice, 10 weeks old, with postmortem at 5 days 6 Sprague-Dawley rats, 9–12 weeks, weight 300 g, with postmortem at weeks 2 and 4 |
Cytokine assessment, histology, adhesion |
| Song 2023 | FDM | Polylactic acid | Acellular deceullarised matrix | 25 × 25 mm | ~ 0.5 mm | Up to 465.47 N/cm | Not specified | Yes | Human umbilical endothelial vein cell/rat skeletal muscle cell in L6 cell culture medium, incubated at 37° Celsius 5% CO2 for 48 h | CCK-8 cell proliferation | 20 male Sprague-Dawley rats, weight 200 g, with postmortem at weeks 4 and 8 | Histology, immunohistochemical staining, RNA expression |
| Sterk 2023 | FDM | Polycaprolactone | None | Variable | Variable | Up to 16 N/cm | Not specified | Yes | No | - | No | - |
| Wang 2024 | FDM | Polyurethane | None | Variable | Variable |
Up to 32.7 MPa (3,270 N/cm2) |
Not specified | Yes | Human cells HaCaT, HEK293T in RCTA culture medium, incubated at 37° Celsius, for 2–6 min | Cell viability | No | - |
| Yadav 2025 | FDM | Gelatine | Penicillin/streptomycin | 35 × 35 mm | 1.0 mm | Up to 86 N/cm | 70% ethanol for 1 h | Yes | L929 mouse fibroblast cell, in Dulbecco’s Modified Eagle medium, incubated at 37° Celsius, 5% CO2 for 3, 5 or 7 days | Cell viability, cell adhesion | No | - |
| Yang 2020 | FDM | Polycaprolactone | None | Variable | 0.36 to 0.48 mm | Up to 70 MPa (7,000 N/cm2) | 75% alcohol for 1 h, sterilised by UV for 1 h | Yes | Rat dermal fibroblasts in Dulbecco’s modified Eagle’s medium, incubated at 37° Celsius, 5% CO2 for 1, 3 or 5 days | Cell viability, cell proliferation | 60 Sprague-Dawley rats, weight 200–250 g, postmortem weeks 2 and 4 | Histology, biomechanical |
FDM fused deposition modelling
E. Coli: Escherichia coli
S. Aureus: Staphylococcus aureus
S. Epidermis: Staphylococcus epidermis
P. aeruginosa: Pseudomonas aeruginosa
Table 5.
Details of experimental papers examining sterilisation of 3D-printed hernia mesh
| Study ID | 3D Printing Method | Composition | Additives/Adjuncts | Mesh Size | Mesh Pore Size | Sterilisation | Ex vivo Testing | In vitro – Test Conditions | In vitro - Assessment | In vivo –Test Conditions | In vivo - Assessment |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Garnica-Bohorquez 2023 | FDM | Polylactic acid | None | 115 × 19 mm | Variable | Formaldehyde with steam autoclave | Yes | No | - | No | - |
| Ramos 2023 | FDM | Polylactic acid | None | Variable | Not specified | Steam autoclave/ethylene oxide | No | Brain heart infusion broth, at 34–37° Celsius, incubate for 48 h or 15 days. Then MacConkey agar plate at 34–37° Celsius for 24 h. | Bacterial Growth | No | - |
| Shea 2020 | FDM | ABS-M30i | None | Variable | Not specified | Vaporised hydrogen peroxide gas plasma | No | No | - | 121 adult humans, implantation of 3D-printed items, with clinical follow up > 3 months | Clinical follow up, complication rates |
FDM fused deposition modelling
Table 6.
Details of experimental papers examining medical imaging and 3D-printed hernia mesh
| Study ID | 3D Printing Method | Composition | Additives/Adjuncts | Mesh Size | Mesh Pore Size | Sterilisation | Ex vivo Testing | In vitro – Test Conditions | In vitro - Assessment | In vivo –Test Conditions | In vivo - Assessment |
|---|---|---|---|---|---|---|---|---|---|---|---|
| Smietanski 2023 | - | Polypropylene | *existing mesh shaped over 3D-printed model | Variable | Variable | Not specified | Yes | No | - | 3 adult humans, with implantation of 3D-printed items, with follow-up at 7 days, 3 months and 12 months | Clinical follow up, complication rates |
All experimental papers, both in vivo and in vitro, scored poorly with risk of bias assessment, with high to critical risk (Figs. 2, 3 and 4). Some papers required multiple risk of bias tools for assessment, due to inclusion of both in vitro and in vivo study components (Supplementary 1). Although all papers provided excellent technical information on 3D printing and engineering testing protocols, the overall reporting quality of in vitro and in vivo experiments were poor and highly concerning.
Fig. 2.
Risk of bias in in vivo animal experimental papers using Hooijmans’ SYRCLE tool. [28] Image produced using McGuinne’s RobVis Tool. [31]
Fig. 3.
Risk of bias in in vivo human experimental papers using ROBIN-Intervention tool. [29] Image produced using McGuinne’s RobVis Tool. [31]
Fig. 4.
Risk of bias in in vitro experimental papers using National Toxicology Program OHAT tool. [30] Image produced using McGuinne’s RobVis Tool. [31]
The ARRIVE guidelines were largely not followed for in vivo animal studies, with the omission of essential information [32]. All experimental studies failed to report whether samples or specimens were randomised and how randomisation was performed (randomisation table or computerised randomisation). No study reported whether assessors were blinded, whether animals or specimens were concealed, and whether animals were housed randomly. Authors often did not clearly state whether assessments were performed in same fashion for all animals or specimens, whether there were any deaths or drops outs during the experimental phase, and whether there were any difficulties with the assessment process. No study clearly stated who performed histology assessments, and whether they were blinded from the study to maintain objectivity.
This observation was largely the same for in vitro studies. While appropriate controls were reported in most studies, there was no clear description of attempts to reduce bias from investigators, such as steps of randomisation, blinding assessors when performing cell viability assessments, or when measuring zones of inhibition for antibiotic susceptibility tests. Raw data is often not included in the manuscript or as supplementary materials, and requires readers to contact the authors.
Substantial text in all experimental studies were devoted to discussing results, statistical significance and general interpretation of results. No paper seriously reflected upon potential risk of bias, error or design flaw within their studies.
Discussion
The literature on 3D-printed hernia mesh is relatively new and expanding. In 2021, Corduas et al. and Perez-Kohler et al. independently reviewed the state of hernia mesh and the role of 3D printing technology in medicine [33, 34]. Since then, 13 additional experimental papers specific to 3D-printed hernia mesh have been published by a variety of author groups across the world. (Tables 3 and 4)
While these are promising advancements, greater emphasis needs to be placed upon study design and transparent reporting of results, by following the ARRIVE guidelines or equivalent for in vitro and in vivo components. Many papers often end up combining both in vitro and in vivo methodology, without clear explanation as to why both components were performed. If the design and experiments were performed in a stepwise fashion, i.e. in vitro before in vivo, then this should be clearly explained and documented. Likewise, if the purpose of in vitro study was for toxicology, then the appropriate toxicology reporting standards should be followed to minimise risk of bias, such as following the guidelines set out by the European Union Reference Laboratory for Alternatives to Animal Testing (EURL ECVAM) and the TOXR tool [35, 36]. As evident in the risk of bias assessments conducted, information necessary to guarantee that the results were bias-free were largely absent. There was a substantial barrier to interpretation of study results, as high to critical risk of bias generally is not usable.
What can be safely interpreted from the identified experimental papers, is that there are many ways to print 3D meshes, adjuncts may be added to the mesh during production, and such mesh may elicit a desirable in vitro or in vivo response. The ability to incorporate antibiotic function has potential and could be an answer to minimising mesh infection and biofilm development. In non-experimental papers, authors are increasingly voicing concerns regarding regulating 3D-printed medical devices produced at point of care.
What is 3D printing?
3D printing is a form of additive manufacturing that has been in existence for some time. Raw materials suitable for 3D printing include metals, ceramics, paper and polymers. Using computer-aided design (CAD) software, a desirable object is digitally created and saved as a CAD file. CAD files may also be created by scanning objects using specialised laser equipment, or by reconstructing objects from radiological imaging, such as Digital Imaging and Communications in Medicine (DICOM) files. Using CAD files, segmentation software then digitally slices the object into thin layers and creates a printable instruction file known as G-code. G-code is then transmitted to 3D printers, and the object is created [37].
Many types of 3D printing are available on the market, with the difference primarily being how the raw material is prepared and how it is bound together to form the object. Some 3D printers, such as electron beam melting (EBM) or direct energy deposition (DED) are only suitable for the creation of metallic or ceramic objects, typically used in automobile industry or aerospace engineering. The following 3D printers are some examples with relevance to producing custom hernia mesh.
Fused filament fabrication (FFF), also known as Fused Deposition Modelling (FDM), is one of the initial 3D printers developed and was first patented in 1989 [38]. FDM has experienced rapid growth in the technology in recent decades [39], primarily due to use in rapid prototyping [40]. Rapid prototyping is the designing and printing models of an object or feature within a short time frame, often as a sample (prototype) to a bigger project. In FDM, once G-code has been transmitted to the 3D printer, polymer filaments are heated to a liquid state, extruded through a nozzle and deposited layer by layer. Specific heating and nozzle settings for a given polymer material are supplied by filament manufacturers [41]. FDM is considered user-friendly and has a low setup cost. It can use a range of common thermoplastics at relatively low temperatures, such as polylactic acid (PLA), acrylonitrile butadiene styrene (ABS), polyethylene terephthalate glycol (PETG) or thermoplastic polyurethane (TPU) [42]. High-end FDM printers can achieve greater temperatures, allowing for the use of high-performance polymers such as polyether ether ketone (PEEK), polyetherimide (PEI) or carbon fibre composites [43]. FDM is versatile, and a good introduction to 3D printing for novices. Drawbacks of FDM include loss of dimensional accuracy during printing, printing may be time consuming for complex geometry, and post-processing (e.g. sandpapering or milling) may be required to achieve the desired surface finish.
Stereolithography (SLA) uses an ultraviolet (UV) laser to cure liquid resin layer by layer, allowing finer detail and smoother prints to be achieved [44]. Objects generally require post-processing, including curing in a UV chamber to further harden the object [45], and application of isopropyl alcohol (IPA) to remove surface tackiness [46]. 3D-printed resin models are commonly used for teaching purposes, to demonstrate patient-specific anatomy or for pre-operative planning. Most resins are epoxy-based with carcinogenic properties, and thus are considered too toxic for implant applications [47, 48].
Selective laser sintering (SLS) uses lasers to fuse powder particles layer by layer. Powder can be metallic, nylon or TPU. Without the need for support structures, complex geometries and intricate internal structures may be created [49, 50]. SLS is well suited to produce hernia mesh and surgical-grade implants. SLS is currently only available in industrial-size platforms, and initial set-up costs may be considered prohibitive [51].
Bioprinting is a fusion of 3D printing technology and tissue engineering [52]. Instead of using inorganic materials, bioprinting uses bioink. Bioink is a water-based hydrogel that mimics the extracellular matrix, and typically incorporates cells and biochemicals, such as growth factors and cytokines, to support vascularisation and tissue growth [53–56]. Bioprinting have been used experimentally to produce custom organs, and has immense potential in regenerative and transplant medicine [57]. Bioprinting could theoretically be used to create custom biological hernia meshes with bioactive properties that elicits desirable immunological responses to initiate healing, with minimal foreign body response.
Commonly used medical-grade polymers include polycaprolactone (PLC) [58–66], polylactic acid (PLA) [67–69], polyvinyl alcohol (PVA) [70, 71], polypropylene (PP) [70, 72], polyurethane (PU) [2, 73] and gelatine carbon nanotubes [74]. These polymers have minimal toxicity, are well established in the medical industry, and can be easily converted into printable 3D filament with a filament extruder.
3D-printed patient-specific implants
3D printing has created an alternate pathway towards creation of affordable custom biomedical devices, a feat previously not possible with traditional manufacturing techniques. The high degree of customisation offered by CAD allows designing and manufacturing processes to be driven predominantly by clinician expertise and patient circumstances, creating a collaborative environment to produce patient-specific implants and tailored healthcare. Patient-specific implants for orthopaedic, dental and facial reconstruction have been shown to achieve faster functional return and greater patient satisfaction [75–78]. Detailed anatomical models have been invaluable to surgical education and simulations [79–81].
In the case of abdominal wall hernia management, a range of customisable features may be possible [59–74, 82, 83]. The size, contour and shape of the mesh could be predetermined based on preoperative imaging, using either computed tomography (CT) or magnetic resonance imaging (MRI) [84]. This could remove the need to trim meshes intraoperatively, decrease handling time and reduce risk of bacterial contamination. Optimal filament size and mesh thickness may be predetermined based on expected wall stresses and desired effective porosity. The thickness of the mesh may be varied such that it has adequate strength over maximal stress regions, as dictated by fracture mechanics, while minimising mesh burden [18]. Specific mesh material may be chosen based on expected activity levels [84]. For example a flexible bioabsorbable polymer may be better suited for a hernia repair in a young patient who is expected to lead a more active lifestyle.
Mesh surface topography can be laser etched to dissuade bacterial colony attachment and subsequent biofilm formation [85]. Use of plasma processing could increase surface hydrophilic properties to encourage cell attachment [86, 87]. Radiopaque contrast may be incorporated into mesh fibres to allow better visualisation on subsequent medical imaging for follow-up or diagnostic purposes [59]. Likewise, drug release microcapsules, bacteriophages, zinc, copper or silver ions could be incorporated into the mesh structure to provide antibacterial properties, and potentially reduce post-operative infections [62, 64, 67, 70, 73, 74, 88, 89]. A new generation of ‘intelligent’ meshes may be possible by imbedding special sensors in the mesh structure to detect infection or monitor healing [90].
The potential of 3D-printed meshes may also be extended to a broader range of indications where meshes have been conventionally used. Pelvic floor reconstructions are notoriously difficult to perform due to geometric shape, dynamic structures, and prominent neurovascular bundles [91]. Patient-specific 3D-printed implants could reduce the difficult of such operations, and facilitate local tissue integration with adjuncts built into the mesh structure. Similarly, congenital hernias in paediatric patients require accommodation of body growth when planning surgical repairs, and 3D-printed implants could offer improved outcomes [92].
The utility of 3D-printed patient-specific implants is likely applicable to all surgical disciplines that require individualised anatomically responsive solutions. With sufficient trained personnel and equipment, patient-specific implants could be produced onsite within a healthcare facility [19, 93]. 3D printing is an attractive consideration by centres in developing regions where normal procurement may be difficult due to logistic supply chain issues [94].
Current state of 3D-printed hernia mesh
Clinical use of 3D-printed hernia mesh is currently limited to case-by-case provision [84]. The vast majority of published papers are preclinical and focus on describing mesh production techniques, in vitro toxicity, performance of adjuncts (e.g. antimicrobial properties) and short-term tolerance by small mammals [60, 62–64, 68–71, 82]. Only one study used a large animal model, namely sheep [65]. While there is nothing inherently wrong with using small animal models, and perhaps encouraged from an animal welfare point of view when investigating new substances and products [95], in vivo outcomes observed in small animals typically do not translate well to performance in large animals or humans [96]. Large animal studies over medium- to long-term are necessary to characterise in vivo behaviour of 3D-printed mesh products, as mandated by the International Organization for Standardization 10993-6 [97].
The meshes printed so far are relatively small. Of the studies that reported mesh size, only two studies implanted meshes larger than 5 × 5 cm [70, 82]. Uniaxial tensile testing of printed mesh was reported in 15 out of 19 experimental studies. Of which, only 3 studies compared their tensile strength to the estimated longitudinal stress of 16 N/cm and hoop stress of 32 N/cm in the abdominal wall, as derived by Klinge et al. [98] Works by Kallinowski’s group indicate intra-abdominal pressures during intense post-operative vomiting may be as high as 225 mmHg [99]. This rapid change in pressure could theoretically generate a hoop stress of 48 N/cm2 along the abdominal wall, or about 48 N/cm for every 1 cm length of tissue [100]. The 3D-printed meshes of some studies are likely to fracture before they can obtain the necessary GRIP values to overcome the CRIP values of defects [24]. Coined by Kallinowski, GRIP is a numerical representation of the stability of mesh fixation and surface friction it has to resist against cyclical impacts, while CRIP describes the minimum level of GRIP required to resist against a standardised quantity of cyclical impacts that simulates intra-abdominal pressures generated by post-operative coughing. On the other hand, some meshes are likely overengineered, such as Erwin et al.’s 3D-printed polypropylene mesh that has a reported tensile strength of 321.67 kgf/mm2 (~ 315,000 N/cm2) which is on par with Kevlar fibres (362,000 N/cm2) used in ballistic body armour [101].
Elasticity is another consideration and appears to be poorly documented. Only two studies clearly reported elongation of 3D-printed mesh under strain [68, 73]. The abdominal wall has an inherent degree of elasticity (about 32% at 16 N/cm) which the mesh should ideally match [102]. This is influenced by the construct of the mesh, with lightweight mesh (35–70 g/m2) stretching more than heavyweight mesh (≥ 140 g/m2) [103, 104]. Meshes with elongation rates greater than the native abdominal wall, i.e. >30%, may not maintain functional repair and could be a cause for repair failure in the long-term [100]. Excess elasticity can also alter effective porosity [105]. While several studies reported textile porosity over 1 mm2 [60, 62, 68, 70, 73, 74, 106], which is the minimum pore size needed to prevent the bridging effect from fibrotic tissue [107], no study specified whether these values were under static or dynamic conditions. Loss of effective porosity prevents ingrowth of tissue and leads to excessive scar plate formation, which may precipitate development of seroma, chronic pain and repair failure [11, 13].
Another problem is long-term stability of mesh. The most commonly reported materials used to fabricate 3D-printed meshes were PCL and PLA (Table 4). Both of these substances have well-established biological safety and immune profiles [33]. PCL is a copolymer of the monofilament suture Monocryl® (polycaprolactone/polyglycolide) (Ethicon Inc, New Jersey, United States), while PLA is the primary component of the ‘Velcro-like’ grips in ProGrip® mesh (Medtronic Australia Pty Ltd, New South Wales, Australia). Both PCL and PLA are classified as biodegradable polymers. These substances are currently only used as adjuncts or as a copolymer in regulatory-approved hernia mesh, and not in their pure forms. Although PCL is reported to have a ‘slow degradation’ over 2–4 years [108, 109], concerns have been raised that electrospun fibres have accelerated degradation when exposed to hydrolytic enzymatic action, and tensile strength loss may be encountered as early as 90 days [110]. The manufacturer data on Monocryl® indicates an expected loss of strength over 14 days, and complete resorption by 90–120 days. Investigations into using PLA as a suture material found 12% reduction in knot strength after submersion in normal saline at room temperature for 28 days [111]. A polymer mixture or composite structure may be required to meet the biomechanical demands of hernia repairs, while still having low immunogenicity and biodegradative properties.
Since hernia meshes are long-term implantable devices, sterility of the mesh must be guaranteed. It is suspected that bacterial contamination, such as by Staphylococcus aureus [112], and subsequent biofilm formation from sub-acute infection is responsible for a portion of repair failures years after surgery [113]. In most of the experimental papers, if described, have only used submersion in concentrated ethanol and UV light exposure as a sterilisation method (Tables 4 and 5). These methods should be more appropriately termed disinfection and are inadequate for sterilising critical devices, such as surgical implants, that enter sterile regions of the body, due to their inability to kill and remove bacterial spores [114, 115]. A sterilisation study of 3D-printed objects noted that hollowed objects could not be fully sterilised with either steam autoclave or ethylene oxide (EO), with non-coagulase Staphylococcus species continued to be isolated post-sterilisation [116]. Likewise, Garnica-Bohorquez et al. did not find any success in a two-step formaldehyde steam autoclave and noted significant loss in tensile strength of 3D-printed PLA meshes. Shea et al. tested low-temperature vaporised hydrogen peroxide (VHP) gas plasma sterilisation for a variety of 3D-printed objects for clinical use, and recorded a surgical site infection rate of 7.0% (8 of 114 patients), with 5 patients (62.5%) requiring surgical debridement or implant removal/revision [117]. Although the temperature of printing processes typically exceeds 200° Celsius, a substantial amount of post-printing processing is expected and opens up multiple routes and opportunities for contamination [117]. The surface topography of 3D-printed objects is irregular, and like textured breast implants or healthcare surfaces, provides the ideal environment for bacterial attachment and biofilm formation [118, 119].
EO and VHP are standard methods of sterilisation in the central sterilisation services department (CSSD) in hospitals, with typical operating temperatures of 50–60° Celsius. This is close or substantial above the glass-transition temperatures of PLA or PCL, which are 60–65° Celsius and minus 60° Celsius, respectively [120]. Sterilising with EO or VHP using the current protocols will likely lead to deformation and surface damage of 3D-printed objects [120]. Currently, it appears STERIS Healthcare (Dublin, Ireland) is the only company providing a dedicated sterilisation cabinet for 3D-printed objects using VHP (V-Pro Max 2 system), in conjunction with proprietary resin materials. It is unclear whether such resin materials are suitable for hernia mesh production. Choice of mesh printing material needs to take into consideration of method of sterilisation, and the potential physiochemical reactions that may occur.
Safety and efficacy of 3D-printed hernia mesh
Without large animal model and clinical studies, it is difficult to state whether 3D-printed mesh will be efficacious to the management of abdominal wall hernias. The experiments identified so far indicates that there is no immediate toxicity or handling concerns. Histological analysis consistently shows expected acute phase inflammatory reaction [60, 62–65, 68, 70, 71, 82, 106]. No further meaningful conclusions could be drawn due to high risk of bias from unclear randomisation process of animals involved (Fig. 2). To maximise data reliability, the PREPARE and ARRIVE guidelines should be followed when designing and reporting animal studies, and the equivalent guidelines for in vitro studies [32, 121]. Pre-registration of animal protocols is strongly recommended to ensure study integrity and minimisation of biases.
A critical element in evaluating whether a hernia mesh function as intended, is to assess the interface between the mesh and tissue, and to examine how well tissue integrates or infiltrates over time. Good tissue integration is a reflection of beneficial tissue growth and minimal foreign body response, and corresponds with strong biomechanical stability that is necessary at preventing long-term hernia recurrence. To assess mesh tissue integration in an objective fashion, a standardised Mesh Integration Index was previously proposed and validated in a large animal model [manuscript under consideration] [122]. The Index allows preclinical standardised assessment of mesh performance, providing the necessary information to inform researchers whether a mesh function as intended. Problematic meshes could be identified and recalled prior to marketing, and thereby minimising harm to patients. The Index is applicable to all mesh products in the abdominal wall, including 3D-printed meshes.
Briefly, the Index uses a series of standardised assessments to grade integration, fibrosis, degradation and adhesion on a 0 to 5 ratio scale. The assessments incorporate visual, histological, biomechanical and molecular tools. These tools were selected due to their widely available in standard biomedical research institutes or laboratories, which allows rapid assessment of in vivo results using standard animal models. The in-vivo behaviour of 3D-printed meshes is easily quantified by the Index, streamlining comparison of different 3D-printer compounds and discovery of new mixtures or methods to produce clinically impactful hernia meshes. The secondary purpose of the Index is to provide a uniform language between biomaterial scientists, who are likely involved in the designing of the product, and clinicians, who are ultimately the end users of mesh products.
The ideal mesh is one that achieves high levels of tissue integration in the shortest amount of time after implantation and has the least amount of foreign body fibrotic reaction. The mesh should conform to the structure of the local anatomical structures, have sufficient elasticity, maximal effective porosity, antibacterial properties and sufficient strength to accommodate the dynamic physiological stresses in the abdominal wall. Meshes that intend to be intraperitoneal should have anti-adhesion properties that do not interfere with tissue integration. Meshes should ideally have minimal degradation with no loss of tensile strength for at least 5 years from time of implantation. Meshes should preferably be relatively easy to handle, can tolerate intraoperative manipulations, conform to local anatomy and not require trimming.
Like any other medical device, 3D-printed mesh, if deployed to clinical use, should be tracked and monitored with a clinical quality registry that incorporates a device registry. Outcomes of lesser-known products should be monitored, such that adverse events can be detected at the first instance, to minimise harm to patients. Registries and big data platforms are vital to tracking real‑world effectiveness and complications (e.g. China’s national hernia registry with ~ 100,000 cases) [123]. Ultimately, device regulations should occur at a national level, through regulatory authorities, such as the United States Food and Drug Administration (FDA), the European Union (EU), or the Australian Therapeutic Goods and Administration (TGA).
Regulations and ethics of 3D-printed hernia mesh
Medical device regulation has traditionally been manufacturer heavy, with the onus on only approving devices that meet the necessary standards for safety and efficacy as set by the local regulatory authority. Devices undergo a series of standardised testing to ensure that that it is not toxic to humans, it achieves its intended purpose, and it does not have long-term side effects or potential problems that may arise from device malfunction. Devices need to be manufactured to a minimum standard that meets national and international regulations, ensuring integrity and consistency of the device, be adequately sterile for its purposes, and have quality assurance processes in place to detect problems. 3D-printed hernia meshes currently falls into a grey area within legislation, as it can be both mass-produced in terms of numbers and has a degree of customisation to fit the patient for usage [124, 125].
In the US, oversight relies on the FDA’s Custom Device Exemption (CDE), such as Investigational Device Exemption (IDE) via Centre for Devices and Radiological Health (CDRH) or the 510(k) Premarket Approval (PMA) pathway. The latter is optimised for conventional ‘substantially equivalent’ devices. Under the CDE pathway, a 3D-printed device may qualify as exempt from standard premarket approval if it meets specific criteria: it must be custom-made in direct response to a written request from an authorised health professional (e.g. a surgeon); the design must originate from the clinician and not be substantially manufactured in advance by the device producer; often, design input may include patient-specific templates, scans, or clinical sketches provided by the health professional [126]. Truly personalised meshes may struggle to fit existing categories but if the mesh is fully unique per patient (e.g. from a CT scan-derived 3D model) and fabricated as a once off, CDE may apply but this cannot be used for scaling up or commercialisation under the 21 Code of Federal Regulation (CFR) 812.3(b). If a 3D-printed mesh has no predicate but poses low to moderate risk, de novo classification may be achieved instead via US Federal Food Drug and Cosmetics Act (FDCA) Sect. 513(f)(2) [127]. Dykema argues that a new scheme should be created by the FDA under the existing Class III medical devices regulatory classification that is specific to custom 3D-printed devices and contains elements designed specifically to address the unique nature of additive manufacturing at point of care [124].
In the EU, 3D‑printed devices fall under the Medical Device Regulation (MDR). The EU MDR (2017/745/European Union) outlines the framework for regulation, mandating a bare minimum of clinical evaluation, risk management, quality management system, post-market surveillance, technical documentation, and liability for defective devices [128]. A submission for use to MDR requires detailed technical documentation and clinical justification equivalent to major implants. This places significant demands on healthcare facilities to coordinate multidisciplinary in‑house teams, certified under International Organization of Standardization (ISO) 13,485, if 3D printing was to be performed at point of care [129]. Pettersson critiques that the MDR does not truly address hospitals as manufacturers, and there continue to lie problems of ownership and usage of intellectual properties of devices and software, not withstanding liability issues [129].
In Australia, surgical meshes were reclassified by the TGA from Class IIb (medium risk) to Class III (high risk) devices in 2018, and fully implemented by 2021 [130]. These changes mandated a full TGA conformity assessment and inclusion within the Australian Register of Therapeutic Goods (ARTG), removing the previous lenient pathway for implant approval [131, 132]. The TGA currently does not have a dedicated pathway, and references the technical considerations set up by the US FDA and the local Therapeutic Goods (Medical Devices) Regulations 2002 [133].
In addition to the regulatory difficulties, use of 3D-printed mesh has ethical ramifications for service provision and duty of care. To produce 3D-printed mesh, a template is developed based on patient medical imaging data, and the product is created inside a designated 3D printer, using a pre-specified compound [128, 134]. Each of these step may require a proprietary substance, product or service, and involvement of multidisciplinary personnels. Sharing of patient medical data may be required, and the potential for data breach may have serious consequences. These aspects may not necessarily be fully apparent to clinicians, yet they are expected to provide full disclosure to patients and be ethical gatekeepers. Recent medical device litigation, such as the US$1 billion mesh settlement by Becton Dickinson & Co in 2024 [135], have illustrated the need for transparency in medical products and clinical services to which biomedical companies have a vested financial interest. Although clinicians may have the best intentions for patients, use of incomplete or incorrect information may inadvertently lead to harm. Likewise, clinicians should also not be the sole provision of 3D-printing services, as the potential for misconduct and harm to patients to occur in a clinical setting without oversight is high, as illustrated by Foster’s case studies [125].
The safest option, is perhaps a middle ground, where 3D-printing services are provided onsite at the healthcare facility via service agreement with a certified manufacturer. Service agreements could be established to provide a comprehensive 3D printing service package, that incorporates provision of printers, materials and trained technicians. This could be an option in minimising the legal issues of ownership of proprietary knowledge and liability of healthcare facilities during manufacturing, quality control and sterilisation of 3D-printed meshes. Responsibility is distributed to key individuals, namely physicians for selection of products; radiologists and technicians for medical imaging scanning; technicians for segmentation of imaging for 3D printing; engineers for product designing and 3D printing; and physicians and sterilisation units for the final preparation, sterilisation and usage of product [128, 129]. Such business models are not new to the healthcare system, and much could be learned by examining the precedent set by the local blood transfusion services, such as the Northern Ireland Blood Transfusion Service and the Australian Red Cross Life Blood®. Both services manufacture blood products from patient blood donations under highly regulated yet transparent systems, and ensure all products are accountable, traceable and reportable in the event of adverse reactions.
Patient safety should be foremost when dealing with emerging technology and implantable devices. All 3D-printed hernia mesh should be produced to a high quality that meets national and international standards. An oversight committee, run independently by the national regulatory authority, could provide service accreditation and maintain a robust pre- and post-market surveillance of safety and efficacy. Sharing of patient information, such as DICOM files, should adhere to local privacy policies and data protection requirements, such as the General Data Protection Regulation (GDPR) for nations in the European Union. An encrypted collaborative platform on a local area network with time-limited and personnel-limited access may be required to ensure no unnecessary retention of patient information during the manufacturing process. A designated data compliance team could regulate access and monitor for potential data breach. 3D printing should also take into consideration of waste production, toxicity of waste and environmental impact of polymers and microplastics. Waste should be disposed of in a safe and regulated manner, as dictated by local legislations and international laws.
Cost-effectiveness of 3D-printed mesh
The true cost of 3D-printed hernia mesh is unknown at this stage, and much of it is considered proprietary knowledge by companies who are attempting to establish themselves within the 3D-printed patient-specific implant market. The first FDA 510(k) clearance for a 3D-printed surgical mesh was only granted in May 2024, awarded to the US-based PrintBio, Inc.’s 3DMatrix™ product (K232602) [136]. Made from polydioxanone monofilament, it has a macroporous non-woven fully-absorbable architecture that has been theorised to reduce complications and healthcare costs in the long term [73]. More information is expected to come to light as products and services of respective companies are approved by the FDA, or equivalent authority.
While functionally not entirely the same, some insights can be gained by examining 3D-printed orthopaedic implants, which have been in use for some years now. The global market for 3D-printed orthopaedic implants was valued at US$1.7 billion in 2024, and is projected to increase to $6.6 billion by 2033 [137]. In Belgium, 3D-printed hip implants have been reported to cost around €8419, comparable to traditional custom-made implants cost of €6002 [138]. Use of 3D-printed hip implants in revisions surgery, compared to traditional implants, can lead to an annual saving of €1,265 with a 5% gain in quality-adjusted life years (QALY) [138]. Similarly, 3D-printed polyether ether ketone (PEEK) cranial implants are reported to cost around US$5,600 to US$20,522 [139]. While such PEEK implants are about 20–133% more expensive than traditional titanium or polymethyl methacrylate (PMMA) implants, they can achieve an excellent successful implantation rate of 93.7%, with minimal complications [139].
A hypothetical business model would suggest an initial capital investment for setup, including equipment, materials, engineering staff, and an ongoing cost for maintenance and consumables. Such a model would likely not be significantly different from implementation of robotic surgical platforms [140]. Once in-house systems are operational, repeatable workflows could reduce per-unit cost over time [141]. The raw materials or consumables required for 3D-printed implant product have been reported to be relatively low [142]. If the upfront costs can be offset by the long-term reductions in complications and reoperations, a viable business model may be possible. In the US, hernia recurrence and associated complications currently account for 20% of annual health expenditure spent on managing incisional hernias in both inpatient and outpatient settings [143].
Health economic assessments, such as cost-benefit analysis and cost-effectiveness analysis will need to be performed as more information emerges, particularly product details, clinical performance, and patient outcomes. Incorporating long-term cost-offsets into cost-effectiveness analyses could pave the way for organisational reimbursement, and overcome cost-related adoption barriers faced by healthcare facilities [144].
Future directions
3D-printed hernia meshes promises to be an exciting development in tailored hernia care. The potential to use custom-made hernia mesh tailored to individual circumstances, both anatomical shape and tissue environment, could provide an alterative to current therapeutic options. Smart meshes with inbuilt antimicrobial resistance could be the next-generation implants that address the various implantation problems encountered by current clinicians and may improve long-term patient outcomes. The exact parameters of 3D-printed meshes will need to be fine-tuned, and a partnership between surgeons and biomedical engineers at institutions with a strong biomedical engineering program is likely a good foundation to begin with. Early involvement of regulatory bodies and biomedical companies with an interest in developing and providing 3D-printing services at point of care could address the many issues identified in this review.
Likewise, safety and general in-vivo behaviour of 3D-printed meshes should be characterised preclinically, using standardised in-vivo animal models that mimic the human body and facilitate objective comparison, such as the Mesh Integration Index. Long-term outcomes of 3D-printed meshes should be monitored via a clinical quality registry (CQR), as the typical time frame for mesh complications and failure is in the order of 5 years at a minimum [9]. A registry randomised control trial (RRCT), using data from a well-maintained CQR, is an emerging and acceptable alternative to traditional randomised control trials (RCT) in assessing real-world implementation of interventions, particularly over a long period of time that is often not feasible for RCTs due to running costs [145].
Hernias, as a disease entity, is complex, and a universal solution for all scenarios is likely not possible [17]. In the current age of evidence-based medicine, data-driven decision-making is becoming increasingly important in delivering individualised care to patients [146]. There is increasing evidence that hernia care is entering a new phase focused on individualised care and clinicians should strive for data-driven bespoke management.
Supplementary Information
Below is the link to the electronic supplementary material.
Acknowledgements
None.
Author contributions
Conceptualization: Edward Young, James Lawson, Alex Karatassas, Chrys Hensman; Methodology: Edward Young, James Lawson, Alex Karatassas; Formal analysis and investigation: Edward Young, James Lawson; Writing – original draft preparation: Edward Young, James Lawson; Writing – review and editing: Edward Young, James Lawson, Alex Karatassas, Chrys Hensman; Funding acquisition: Edward Young, James Lawson; Resources: Edward Young, James Lawson; Supervision: Alex Karatassas, Chrys Hensman.
Funding
Open Access funding enabled and organized by CAUL and its Member Institutions. Edward Young is a recipient of the following scholarship: - Australian Government Research Training Program (RTP) Scholarship. - The Hospital Research Foundation (THRF) Higher Degree by Research Top-up Scholarship. James Lawson is a recipient of the following scholarship: - Northern Ireland Department for Education (DfE) PhD Scholarship.
Declarations
Conflict of interest
Edward Young, James Lawson, Alex Karatassas and Chrys Hensman declare that they have no conflict of interest.
Ethics approval
Ethics approval was not applicable, as the paper did not involve any human participants or animals.
Human and animals rights
This research paper reviewed existing literature, and did not involve any human participants or animals.
Patient inform consent
Patient inform consent was not applicable, as the paper did not involve any human participants.
Footnotes
Publisher’s note
Springer Nature remains neutral with regard to jurisdictional claims in published maps and institutional affiliations.
References
- 1.Le TN, Mohammad AA, Svetla G, Renly L, Indu B, Netsanet BK et al (2024) Hernia repair prevalence by age and gender among the Australian adult population from 2017 to 2021. Crit Public Health 34(1):1–11. 10.1080/09581596.2024.2351981 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 2.Wang F, Ma B, Ma Q, Liu X (2024) Global, regional, and national burden of inguinal, femoral, and abdominal hernias: a systematic analysis of prevalence, incidence, deaths, and dalys with projections to 2030. Int J Surg 110(4):1951–1967. 10.1097/js9.0000000000001071 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Rutkow IM (1998) Epidemiologic, economic, and sociologic aspects of hernia surgery in the united states in the 1990s. Surg Clin North Am 78(6):941–951. 10.1016/s0039-6109(05)70363-7 [DOI] [PubMed] [Google Scholar]
- 4.Cowan B, Kvale M, Yin J, Patel S, Jorgenson E, Mostaedi R et al (2023) Risk factors for inguinal hernia repair among US adults. Hernia 27(6):1507–1514. 10.1007/s10029-023-02913-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 5.Nunoo-Mensah JW, Rosen M, Chan LS, Wasserberg N, Beart RW (2009) Prevalence of intra-abdominal surgery: what is an individual’s lifetime risk? South Med J 102(1):25–29. 10.1097/SMJ.0b013e318182575b [DOI] [PubMed] [Google Scholar]
- 6.Itatsu K, Yokoyama Y, Sugawara G, Kubota H, Tojima Y, Kurumiya Y et al (2014) Incidence of and risk factors for incisional hernia after abdominal surgery. Br J Surg 101(11):1439–1447. 10.1002/bjs.9600 [DOI] [PubMed] [Google Scholar]
- 7.Deerenberg EB, Harlaar JJ, Steyerberg EW, Lont HE, van Doorn HC, Heisterkamp J et al (2015) Small bites versus large bites for closure of abdominal midline incisions (STITCH): a double-blind, multicentre, randomised controlled trial. Lancet 386(10000):1254–1260. 10.1016/s0140-6736(15)60459-7 [DOI] [PubMed] [Google Scholar]
- 8.Fink C, Baumann P, Wente MN, Knebel P, Bruckner T, Ulrich A et al (2014) Incisional hernia rate 3 years after midline laparotomy. Br J Surg 101(2):51–54. 10.1002/bjs.9364 [DOI] [PubMed] [Google Scholar]
- 9.Bhardwaj P, Huayllani MT, Olson MA, Janis JE (2024) Year-over-year ventral hernia recurrence rates and risk factors. JAMA Surg. 10.1001/jamasurg.2024.0233 [DOI] [PubMed] [Google Scholar]
- 10.Lesch C, Nessel R, Adolf D, Hukauf M, Köckerling F, Kallinowski F et al (2024) STRONGHOLD first-year results of biomechanically calculated abdominal wall repair: a propensity score matching. Hernia 28(1):63–73. 10.1007/s10029-023-02897-7 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 11.Karatassas A, Anthony A, Reid J, Leopardi L, Hewett P, Ibrahim N et al (2018) Developing a mesh-tissue integration index and mesh registry database: the next step in the evolution of hernia repair. ANZ J Surg 88(6):528–529. 10.1111/ans.14060 [DOI] [PubMed] [Google Scholar]
- 12.Kallinowski F, Baumann E, Harder F, Siassi M, Mahn A, Vollmer M et al (2015) Dynamic intermittent strain can rapidly impair ventral hernia repair. J Biomech 48(15):4026–4036. 10.1016/j.jbiomech.2015.09.045 [DOI] [PubMed] [Google Scholar]
- 13.Mühl T, Binnebösel M, Klinge U, Goedderz T (2008) New objective measurement to characterize the porosity of textile implants. J Biomed Mater Res B Appl Biomater 84(1):176–183. 10.1002/jbm.b.30859 [DOI] [PubMed] [Google Scholar]
- 14.Costello CR, Bachman SL, Grant SA, Cleveland DS, Loy TS, Ramshaw BJ (2007) Characterization of heavyweight and lightweight polypropylene prosthetic mesh explants from a single patient. Surg Innov 14(3):168–176. 10.1177/1553350607306356 [DOI] [PubMed] [Google Scholar]
- 15.Morch A, Pouseele B, Doucède G, Witz JF, Lesaffre F, Lecomte-Grosbras P et al (2017) Experimental study of the mechanical behavior of an explanted mesh: the influence of healing. J Mech Behav Biomed Mater 65:190–199. 10.1016/j.jmbbm.2016.07.033 [DOI] [PubMed] [Google Scholar]
- 16.Lake SP, Ray S, Zihni AM, Thompson DM Jr., Gluckstein J, Deeken CR (2015) Pore size and pore shape–but not mesh density–alter the mechanical strength of tissue ingrowth and host tissue response to synthetic mesh materials in a porcine model of ventral hernia repair. J Mech Behav Biomed Mater 42:186–197. 10.1016/j.jmbbm.2014.11.011 [DOI] [PubMed] [Google Scholar]
- 17.Young E, Karatassas A, Hensman C (2024) Time for a ‘bespoke’ approach to inguinal hernias – a ‘peek’ into the modern surgeon’s toolkit. ANZ J Surg. 10.1111/ans.19332. ;n/a(n/a) [DOI] [PubMed] [Google Scholar]
- 18.Karrech A, Ahmad H, Hamdorf JM (2023) Biomechanical stability of hernia-damaged abdominal walls. Sci Rep 13(1):4936. 10.1038/s41598-023-31674-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Morrison RJ, Kashlan KN, Flanangan CL, Wright JK, Green GE, Hollister SJ et al (2015) Regulatory considerations in the design and manufacturing of implantable 3D-printed medical devices. Clin Transl Sci 8(5):594–600. 10.1111/cts.12315 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Jordan SW, Fligor JE, Janes LE, Dumanian GA (2018) Implant porosity and the foreign body response. Plast Reconstr Surg 141(1):103e–12e. 10.1097/prs.0000000000003930 [DOI] [PubMed] [Google Scholar]
- 21.Sahin OK, Kaya AG, Łajczak P, Makita LM, Usta HD, Petry INS et al (2025) Comparison of different mesh placement techniques for parastomal hernia repair: an updated systematic review and network meta-analysis. Hernia 29(1):140. 10.1007/s10029-025-03330-x [DOI] [PubMed] [Google Scholar]
- 22.Arnold MR, Coakley KM, Fromke EJ, Groene SA, Prasad T, Colavita PD et al (2019) Long-term assessment of surgical and quality-of-life outcomes between lightweight and standard (heavyweight) three-dimensional contoured mesh in laparoscopic inguinal hernia repair. Surgery 165(4):820–824. 10.1016/j.surg.2018.10.016 [DOI] [PubMed] [Google Scholar]
- 23.Bell RC, Price JG (2003) Laparoscopic inguinal hernia repair using an anatomically contoured three-dimensional mesh. Surg Endosc 17(11):1784–1788. 10.1007/s00464-002-8763-4 [DOI] [PubMed] [Google Scholar]
- 24.Kallinowski F, Harder F, Gutjahr D, Raschidi R, Silva TG, Vollmer M et al (2017) Assessing the GRIP of ventral hernia repair: how to securely fasten DIS classified meshes. Front Surg 4:78. 10.3389/fsurg.2017.00078 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 25.Faessen JL, Duijsings ESR, Boerma EG, Broos P, van Vugt R, Stoot J (2023) The first experience with the dextile anatomical mesh in laparoscopic inguinal hernia repair. Hernia 27(5):1203–1208. 10.1007/s10029-023-02855-3 [DOI] [PubMed] [Google Scholar]
- 26.Nazrah S, Rajesh S (2025) Conversion of 2-dimensional to 3-dimensional mesh for resource-limited centres in developing countries. J Minim Access Surg 21(1):93–96. 10.4103/jmas.jmas_52_24 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 27.Jackson JL, Kuriyama A, Anton A, Choi A, Fournier JP, Geier AK et al (2019) The accuracy of Google Translate for abstracting data from non–English-language trials for systematic reviews. Ann Intern Med 171(9):677–679. 10.7326/m19-0891 [DOI] [PubMed] [Google Scholar]
- 28.Hooijmans CR, Rovers MM, de Vries RB, Leenaars M, Ritskes-Hoitinga M, Langendam MW (2014) SYRCLE’s risk of bias tool for animal studies. BMC Med Res Methodol 14:43. 10.1186/1471-2288-14-43 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 29.Higgins JPT, Morgan RL, Rooney AA, Taylor KW, Thayer KA, Silva RA et al (2024) A tool to assess risk of bias in non-randomized follow-up studies of exposure effects (ROBINS-E). Environ Int 186:108602. 10.1016/j.envint.2024.108602 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 30.National Toxicology Program (2015) OHAT Risk of Bias Rating Tool for Humans and Animal Studies. https://ntp.niehs.nih.gov/sites/default/files/ntp/ohat/pubs/riskofbiastool_508.pdf Accessed 2025.
- 31.McGuinness LA, Higgins JPT (2020) Risk-of-bias VISualization (robvis): an R package and Shiny web app for visualizing risk-of-bias assessments. Res Synth Methods. 10.1002/jrsm.1411 [DOI] [PubMed] [Google Scholar]
- 32.Kilkenny C, Browne WJ, Cuthill IC, Emerson M, Altman DG (2010) Improving bioscience research reporting: the ARRIVE guidelines for reporting animal research. PLoS Biol 8(6):e1000412. 10.1371/journal.pbio.1000412 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 33.Corduas F, Lamprou DA, Mancuso E (2021) Next-generation surgical meshes for drug delivery and tissue engineering applications: materials, design and emerging manufacturing technologies. Bio-Des Manuf 4(2):278–310. 10.1007/s42242-020-00108-1 [Google Scholar]
- 34.Pérez-Köhler B, Benito-Martínez S, Gómez-Gil V, Rodríguez M, Pascual G, Bellón JM (2021) New insights into the application of 3D-printing technology in hernia repair. Materials. 10.3390/ma14227092 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 35.European Comission (2025) European Union Reference Laboratory for Alternatives to Animal Testing. https://joint-research-centre.ec.europa.eu/projects-and-activities/reference-and-measurement/european-union-reference-laboratories/eu-reference-laboratory-alternatives-animal-testing-eurl-ecvam_en Accessed 2025
- 36.European Comission (2025) ToxRTool - Toxicology Data Reliability Assessment Tool. https://joint-research-centre.ec.europa.eu/scientific-tools-and-databases-0/toxrtool-toxicological-data-reliability-assessment-tool_en Accessed 2025.
- 37.Bacciaglia A, Falcetelli F, Troiani E, Di Sante R, Liverani A, Ceruti A (2023) Geometry reconstruction for additive manufacturing: from G-CODE to 3D CAD model. Mater Today Proc 75:16–22. 10.1016/j.matpr.2022.09.496 [Google Scholar]
- 38.Crump S (1989) Apparatus and method for creating three-dimensional object. Stratasys Inc., editor. GooglePatents. United States, United States Patent
- 39.Balletti C, Ballarin M, Guerra F (2017) 3D printing: state of the art and future perspectives. J Cult Herit 26:172–182. 10.1016/j.culher.2017.02.010 [Google Scholar]
- 40.Wang J, Wang Y, Wang R, Wang Q, Wen M, Wang J et al (2025) A review on 3D printing processes in pharmaceutical engineering and tissue engineering: applications, trends and challenges. Adv Mater Technol 10(2):2400620. 10.1002/admt.202400620 [Google Scholar]
- 41.Kristiawan RB, Imaduddin F, Ariawan D, Ubaidillah, Arifin Z (2021) A review on the fused deposition modeling (FDM) 3D printing: filament processing, materials, and printing parameters. Open Eng 11(1):639–649. 10.1515/eng-2021-0063 [Google Scholar]
- 42.Singh S, Singh G, Prakash C, Ramakrishna S (2020) Current status and future directions of fused filament fabrication. J Manuf Process 55:288–306. 10.1016/j.jmapro.2020.04.049 [Google Scholar]
- 43.Diouf-Lewis A, Farahani RD, Iervolino F, Pierre J, Abderrafai Y, Lévesque M et al (2022) Design and characterization of carbon fiber-reinforced PEEK/PEI blends for fused filament fabrication additive manufacturing. Mater Today Commun 31:103445. 10.1016/j.mtcomm.2022.103445 [Google Scholar]
- 44.Iftekar SF, Aabid A, Amir A, Baig M (2023) Advancements and limitations in 3D printing materials and technologies: a critical review. Polymers. 10.3390/polym15112519 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 45.Riccio C, Civera M, Grimaldo Ruiz O, Pedullà P, Rodriguez Reinoso M, Tommasi G et al (2021) Effects of curing on photosensitive resins in SLA additive manufacturing. Applied Mechanics 2(4):942–955 [Google Scholar]
- 46.Hwangbo NK, Nam NE, Choi JH, Kim JE (2021) Effects of the washing time and washing solution on the biocompatibility and mechanical properties of 3D printed dental resin materials. Polymers. 10.3390/polym13244410 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Francisco I, Paula AB, Ribeiro M, Marques F, Travassos R, Nunes C et al (2022) The biological effects of 3D resins used in orthodontics: a systematic review. Bioengineering 9(1):15. 10.3390/bioengineering9010015 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 48.Van Duuren BL, Langseth L, Goldschmidt BM, Orris L (1967) Carcnogenicity of epoxides, lactones, and peroxy compounds. VI. Structure and carcinogenic activity. J Natl Cancer Inst 39(6):1217–1228 [PubMed] [Google Scholar]
- 49.Jabri FE, Ouballouch A, Larbi L, El Alaiji R (2023) A comprehensive review of polymer materials and selective laser sintering technology for 3D printing. J Achievements Mater Manuf Eng 118:5–17. 10.5604/01.3001.0053.7286 [Google Scholar]
- 50.Morano C, Pagnotta L (2023) Additive manufactured parts produced using selective laser sintering technology: comparison between porosity of pure and blended polymers. Polymers 15(22):4446 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 51.Yanqing W, Yuanchunzhi W, Kehan C, Lingan X, Wei F, He C et al (2025) A systematic literature review for alternative 3D printing techniques from a perspective of the minimum accumulation geometric elements. Int J Adv Manuf Technol 136(11):4649–4675. 10.1007/s00170-025-15013-z [Google Scholar]
- 52.Javaid M, Haleem A, Singh RP, Suman R (2022) 3D printing applications for healthcare research and development. Glob Health J 6(4):217–226. 10.1016/j.glohj.2022.11.001 [Google Scholar]
- 53.Abuhamad AY, Masri S, Fadilah NIM, Alamassi MN, Maarof M, Fauzi MB (2024) Application of 3D-printed bioinks in chronic wound healing: a scoping review. Polymers. 10.3390/polym16172456 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Huang J, Yang R, Jiao J, Li Z, Wang P, Liu Y et al (2023) A click chemistry-mediated all-peptide cell printing hydrogel platform for diabetic wound healing. Nat Commun 14(1):7856. 10.1038/s41467-023-43364-2 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 55.Masri S, Zawani M, Zulkiflee I, Salleh A, Fadilah NIM, Maarof M et al (2022) Cellular interaction of human skin cells towards natural bioink via 3D-bioprinting technologies for chronic wound: a comprehensive review. Int J Mol Sci. 10.3390/ijms23010476 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 56.Tibbitt MW, Anseth KS (2009) Hydrogels as extracellular matrix mimics for 3D cell culture. Biotechnol Bioeng 103(4):655–663. 10.1002/bit.22361 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 57.Mirsky NA, Ehlen QT, Greenfield JA, Antonietti M, Slavin BV, Nayak VV et al (2024) Three-dimensional bioprinting: a comprehensive review for applications in tissue engineering and regenerative medicine. Bioengineering. 10.3390/bioengineering11080777 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 58.Vach Agocsova S, Culenova M, Birova I, Omanikova L, Moncmanova B, Danisovic L et al (2023) Resorbable biomaterials used for 3D scaffolds in tissue engineering: a review. Materials. 10.3390/ma16124267 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Ballard DH, Jammalamadaka U, Tappa K, Weisman JA, Boyer CJ, Alexander JS et al (2018) 3D printing of surgical hernia meshes impregnated with contrast agents: in vitro proof of concept with imaging characteristics on computed tomography. 3D printing in medicine 4(1):13. 10.1186/s41205-018-0037-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Calero Castro FJ, Yuste Y, Pereira S, Garvín MD, López García MÁ, Padillo FJ et al (2019) Proof of concept, design, and manufacture via 3-D printing of a mesh with bactericidal capacity: behaviour in vitro and in vivo. J Tissue Eng Regen Med 13(11):1955–1964. 10.1002/term.2944 [DOI] [PubMed] [Google Scholar]
- 61.Chen B, Wang Y, Tuo X, Gong Y, Guo J (2021) Tensile properties and corrosion resistance of PCL-based 3D printed composites. J Appl Polym Sci. 10.1002/app.50253 [Google Scholar]
- 62.Deveci MZY, Enguven G, Ege H, Alakus I, Agturk G, Yontem FD et al (2024) Multifunctional hernia repair biopatch: development, characterization, in vitro and in vivo evaluation. J Drug Deliv Sci Technol. 10.1016/j.jddst.2024.106132 [Google Scholar]
- 63.Hu Q, Wu J, Zhang H, Dong W, Gu Y, Liu S (2022) Designing double-layer multimaterial composite patch scaffold with adhesion resistance for hernia repair. Macromol Biosci. 10.1002/mabi.202100510 [DOI] [PubMed] [Google Scholar]
- 64.Hu Q, Zhang Y, Song Y, Shi H, Yang D, Zhang H et al (2024) 3D printing/electrospinning of a bilayered composite patch with antibacterial and antiadhesive properties for repairing abdominal wall defects. J Mater Chem B 12(39):10054–10067. 10.1039/d4tb01543f [DOI] [PubMed] [Google Scholar]
- 65.Russo Serafini M, Mowat A, Mustafa S, Saifzadeh S, Shabab T, Bas O et al (2023) 3D-printed medical-grade polycaprolactone (mPCL) scaffold for the surgical treatment of vaginal prolapse and abdominal hernias. Bioengineering. 10.3390/bioengineering10111242 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Sterk S, Silva MET, Fernandes AA, Huß A, Wittek A (2023) Development of new surgical mesh geometries with different mechanical properties using the design freedom of 3D printing. Journal of Applied Polymer Science. 140(46):e54687 [Google Scholar]
- 67.Ballard DH, Weisman JA, Jammalamadaka U, Tappa K, Alexander JS, Griffen FD (2017) Three-dimensional printing of bioactive hernia meshes: in vitro proof of principle. Surg (United States) 161(6):1479–1481. 10.1016/j.surg.2016.08.033 [Google Scholar]
- 68.Hu Q, Zhang R, Zhang H, Yang D, Liu S, Song Z et al (2021) Topological structure design and fabrication of biocompatible PLA/TPU/ADM mesh with appropriate elasticity for hernia repair. Macromol Biosci. 10.1002/mabi.202000423 [DOI] [PubMed] [Google Scholar]
- 69.Song Z, Yang D, Hu Q, Wang Y, Zhang H, Dong W et al (2023) Reconstruction of abdominal wall defect with composite scaffold of 3D printed ADM/PLA in a rat model. Macromol Biosci. 10.1002/mabi.202200521 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Qamar N, Abbas N, Irfan M, Hussain A, Arshad MS, Latif S et al (2019) Personalized 3D printed Ciprofloxacin impregnated meshes for the management of hernia. J Drug Deliv Sci Technol 53. 10.1016/j.jddst.2019.101164
- 71.Shin CS, Cabrera FJ, Lee R, Kim J, Ammassam Veettil R, Zaheer M et al (2021) 3D-bioprinted inflammation modulating polymer scaffolds for soft tissue repair. Adv Mater. 10.1002/adma.202003778 [DOI] [PubMed] [Google Scholar]
- 72.Galvan-Chacon VP, Patrocinio D, Duarte-Leon M, Pagador JB, Margallo FMS (2021) 3D printed vs. Commercial polypropylene surgical meshes. A Comparative Analysis of Tensile Strength
- 73.Olmos-Juste R, Olza S, Gabilondo N, Eceiza A (2022) Tailor-made 3D printed meshes of alginate-waterborne polyurethane as suitable implants for hernia repair. Macromol Biosci. 10.1002/mabi.202200124 [DOI] [PubMed] [Google Scholar]
- 74.Yadav P, Mukherjee A, Hind Rajput J, Choudhari AP, Poundarik A, Das B (2025) Gelatin multiwalled carbon nanotube composite 3D printed semi biological mesh for abdominal hernia treatment. Chem Asian J 20(5). 10.1002/asia.202401136
- 75.Gupta SK, Holla N, Suwas S, Chatterjee K, Vamsi Krishna S (2025) Application of 3D printing for customised treatment of upper limb disorders. J Hand Microsurg 17(4):100284. 10.1016/j.jham.2025.100284 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Roy M, Jeyaraman M, Jeyaraman N, Sahu A, Bharadwaj S, Jayan AK (2025) Evaluating effectiveness, safety, and patient outcomes of 3D printing in orthopedic implant design and customization: a PRISMA-complaint systematic review. J Orthop Case Rep 15(6):213–222. 10.13107/jocr.2025.v15.i06.5720 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.Sardar C, Mistry G, Randhawa NK, Puppala P, Chitnis A, Sachdev SS (2024) An update on attachment systems for mandibular implant overdentures: a review. Bioinformation 20(11):1623–1628. 10.6026/9732063002001623 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Swift WM, Marston AP, Tollefson TT (2025) Advances in facial fracture care in patients with zygomaticomaxillary complex fractures. Curr Opin Otolaryngol Head Neck Surg 33(4):199–205. 10.1097/moo.0000000000001052 [DOI] [PubMed] [Google Scholar]
- 79.Shanno K, Mangala P, Shanmugarajan TS, Bhyan B, Shinde MG, Rane BY et al (2025) 3D-Printed polyurethane scaffolds for bone tissue engineering: techniques and emerging applications. Regenerative Eng Translational Med. 10.1007/s40883-024-00381-x [Google Scholar]
- 80.Binnie C, Nayab Y, Bano C, Gundle L, Davidson J (2024) Breaking the mould: comparing 3D-printed and composite bone models in orthopaedic training. Cureus 16(12):e75520. 10.7759/cureus.75520 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Jerí-McFarlane S, García-Granero Á, Ochogavía-Seguí A, Ginard-Vicens D, Brogi L, Ferrà-Canet M et al (2025) 3D-reconstruction printed models could enhance Understanding of crohn’s disease complex perianal fistulas? ANZ J Surg. 10.1111/ans.70140 [DOI] [PubMed] [Google Scholar]
- 82.Erwin E, Etriwati E, Akhyar A (2023) Clinical observation, imaging, and histopathology of 3D polypropylene mesh for abdominal hernia in rabbits. Indian J Anim Sci 93(8):777–782. 10.56093/ijans.v93i8.125846 [Google Scholar]
- 83.Wang F, Hou L, Shan YH, Li ZS, Yang XF (2024) Polyurethane-based three-dimensional printing for biological mesh carriers. Sci Rep. 10.1038/s41598-024-63000-3 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 84.Śmietański M, Zamkowski M, Karbowski K, Kujawa MJ (2023) Development and implantation of 3D anatomically tailored polypropylene mesh for laparoscopic inguinal hernia repair designed on the basis of CT images (the ILAM study). Surg Innov 30(6):703–710. 10.1177/15533506231208335 [DOI] [PubMed] [Google Scholar]
- 85.Ince FD, Özel T (2025) Laser surface texturing of materials for surface functionalization: a holistic review. Surf Coat Technol 498:131818. 10.1016/j.surfcoat.2025.131818 [Google Scholar]
- 86.Baran EH, Erbil HY (2019) Surface modification of 3D printed PLA objects by fused deposition modeling: a review. Colloids Interfaces 3(2):43 [Google Scholar]
- 87.Karthikeyan A, Girard M, Dumont M-J, Chouinard G, Tavares JR (2022) Surface modification of commercially available PLA polymer mesh. Ind Eng Chem Res 61(47):17297–17305. 10.1021/acs.iecr.2c02502 [Google Scholar]
- 88.Palo M, Holländer J, Suominen J, Yliruusi J, Sandler N (2017) 3D printed drug delivery devices: perspectives and technical challenges. Expert Rev Med Devices 14(9):685–696. 10.1080/17434440.2017.1363647 [DOI] [PubMed] [Google Scholar]
- 89.Domínguez-Robles J, Mancinelli C, Mancuso E, García-Romero I, Gilmore BF, Casettari L et al (2020) 3D printing of drug-loaded thermoplastic polyurethane meshes: a potential material for soft tissue reinforcement in vaginal surgery. Pharmaceutics. 10.3390/pharmaceutics12010063 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 90.Khosravani MR, Reinicke T (2020) 3D-printed sensors: current progress and future challenges. Sens Actuators A Phys 305:111916. 10.1016/j.sna.2020.111916 [Google Scholar]
- 91.Hoang D, Perrault D, Stevanovic M, Ghiassi A (2016) Surgical applications of three-dimensional printing: a review of the current literature & how to get started. Ann Transl Med 4(23):456. 10.21037/atm.2016.12.18 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 92.Ventola CL (2014) Medical applications for 3D printing: current and projected uses. P T 39(10):704–711 [PMC free article] [PubMed] [Google Scholar]
- 93.Christensen A, Rybicki FJ (2017) Maintaining safety and efficacy for 3D printing in medicine. 3D Printing in Medicine 3(1):1. 10.1186/s41205-016-0009-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Serrano C, Fontenay S, van den Brink H, Pineau J, Prognon P, Martelli N (2020) Evaluation of 3D printing costs in surgery: a systematic review. Int J Technol Assess Health Care 1–7. 10.1017/s0266462320000331
- 95.Mapara M, Thomas BS, Bhat KM (2012) Rabbit as an animal model for experimental research. Dent Res J (Isfahan) 9(1):111–118. 10.4103/1735-3327.92960 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 96.Ruan Y, Robinson NB, Khan FM, Hameed I, Rahouma M, Naik A et al (2020) The translation of surgical animal models to human clinical research: a cross-sectional study. Int J Surg 77:25–29. 10.1016/j.ijsu.2020.03.023 [DOI] [PubMed] [Google Scholar]
- 97.International Organization for Standardization (2016) ISO 10993-6 biological evaluation of medical devices - Part 6: tests for local effects after implantation. International Organization for Standardization
- 98.Klinge U, Conze J, Limberg W, Brücker C, Ottinger AP, Schumpelick V (1996) [Pathophysiology of the abdominal wall]. Chirurg 67(3):229–233 [PubMed] [Google Scholar]
- 99.Siassi M, Mahn A, Baumann E, Vollmer M, Huber G, Morlock M et al (2014) Development of a dynamic model for ventral hernia mesh repair. Langenbecks Arch Surg 399(7):857–862. 10.1007/s00423-014-1239-x [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Deeken CR, Abdo MS, Frisella MM, Matthews BD (2011) Physicomechanical evaluation of polypropylene, polyester, and polytetrafluoroethylene meshes for inguinal hernia repair. J Am Coll Surg 212(1):68–79. 10.1016/j.jamcollsurg.2010.09.012 [DOI] [PubMed] [Google Scholar]
- 101.Kowsari E, Haddadi-Asl V, Ajdari FB, Hemmat J (2019) Chapter 6 - Aramid fibers composites to innovative sustainable materials for biomedical applications. In: Grumezescu V, Grumezescu AM (eds) Materials for biomedical engineering. Elsevier, pp 173–204
- 102.Junge K, Klinge U, Prescher A, Giboni P, Niewiera M, Schumpelick V (2001) Elasticity of the anterior abdominal wall and impact for reparation of incisional hernias using mesh implants. Hernia 5(3):113–118. 10.1007/s100290100019 [DOI] [PubMed] [Google Scholar]
- 103.Zhu LM, Schuster P, Klinge U (2015) Mesh implants: an overview of crucial mesh parameters. World J Gastrointest Surg 7(10):226–236. 10.4240/wjgs.v7.i10.226 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Coda A, Lamberti R, Martorana S (2012) Classification of prosthetics used in hernia repair based on weight and biomaterial. Hernia 16(1):9–20. 10.1007/s10029-011-0868-z [DOI] [PubMed] [Google Scholar]
- 105.Klinge U, Klosterhalfen B (2012) Modified classification of surgical meshes for hernia repair based on the analyses of 1,000 explanted meshes. Hernia 16(3):251–258. 10.1007/s10029-012-0913-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 106.Yang Z, Song Z, Nie X, Guo K, Gu Y (2020) A smart scaffold composed of three-dimensional printing and electrospinning techniques and its application in rat abdominal wall defects. Stem Cell Res Ther. 10.1186/s13287-020-02042-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 107.Klinge U, Klosterhalfen B, Birkenhauer V, Junge K, Conze J, Schumpelick V (2002) Impact of polymer pore size on the interface scar formation in a rat model. J Surg Res 103(2):208–214. 10.1006/jsre.2002.6358 [DOI] [PubMed] [Google Scholar]
- 108.Bosworth LA, Downes S (2010) Physicochemical characterisation of degrading polycaprolactone scaffolds. Polym Degrad Stab 95(12):2269–2276. 10.1016/j.polymdegradstab.2010.09.007 [Google Scholar]
- 109.Woodruff MA, Hutmacher DW (2010) The return of a forgotten polymer—polycaprolactone in the 21st century. Prog Polym Sci 35(10):1217–1256. 10.1016/j.progpolymsci.2010.04.002 [Google Scholar]
- 110.Dias JR, Sousa A, Augusto A, Bártolo PJ, Granja PL (2022) Electrospun polycaprolactone (PCL) degradation: an in vitro and in vivo study. Polymers. 10.3390/polym14163397 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 111.Lou C-W, Yao C-H, Chen Y-S, Hsieh T-C, Lin J-H, Hsing W-H (2008) Manufacturing and properties of PLA absorbable surgical suture. Text Res J 78(11):958–965. 10.1177/0040517507087856 [Google Scholar]
- 112.Patiniott P, Jacombs A, Kaul L, Hu H, Warner M, Klosterhalfen B et al (2022) Are late hernia mesh complications linked to Staphylococci biofilms? Hernia 26(5):1293–1299. 10.1007/s10029-022-02583-0 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Jacombs ASW, Karatassas A, Klosterhalfen B, Richter K, Patiniott P, Hensman C (2020) Biofilms and effective porosity of hernia mesh: are they silent assassins? Hernia 24(1):197–204. 10.1007/s10029-019-02063-y [DOI] [PubMed] [Google Scholar]
- 114.McDonnell G, Burke P (2011) Disinfection: is it time to reconsider spaulding?? J Hosp Infect 78(3):163–170. 10.1016/j.jhin.2011.05.002 [DOI] [PubMed] [Google Scholar]
- 115.Yoo J-H (2018) Review of disinfection and sterilization – back to the basics. Infect Chemother 50(2):101–109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Ramos CH, Wild PM, Martins EC (2023) Effectiveness in sterilization of objects produced by 3D printing with polylactic acid material: comparison between autoclave and ethylene oxide methods. Rev Bras Ortop (Sao Paulo) 58(2):284–289. 10.1055/s-0042-1750751 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 117.Shea GKH, Wu KLK, Li IWS, Leung MF, Ko ALP, Tse L et al (2020) A review of the manufacturing process and infection rate of 3D-printed models and guides sterilized by hydrogen peroxide plasma and utilized intra-operatively. 3D printing in medicine. 10.1186/s41205-020-00061-w [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Jacombs A, Tahir S, Hu H, Deva AK, Almatroudi A, Wessels WLF et al (2014) In vitro and in vivo investigation of the influence of implant surface on the formation of bacterial biofilm in mammary implants. Plast Reconstr Surg 133(4):471e–80e. 10.1097/prs.0000000000000020 [DOI] [PubMed] [Google Scholar]
- 119.Hu H, Johani K, Gosbell IB, Jacombs AS, Almatroudi A, Whiteley GS et al (2015) Intensive care unit environmental surfaces are contaminated by multidrug-resistant bacteria in biofilms: combined results of conventional culture, pyrosequencing, scanning electron microscopy, and confocal laser microscopy. J Hosp Infect 91(1):35–44. 10.1016/j.jhin.2015.05.016 [DOI] [PubMed] [Google Scholar]
- 120.Wiseman J, Rawther T, Langbart M, Kernohan M, Ngo Q (2022) Sterilization of bedside 3D-printed devices for use in the operating room. Annals of 3D printed medicine 5:100045. 10.1016/j.stlm.2022.100045 [Google Scholar]
- 121.Smith AJ, Clutton RE, Lilley E, Hansen KEA, Brattelid T (2018) Prepare: guidelines for planning animal research and testing. Lab Anim 52(2):135–141. 10.1177/0023677217724823 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.RACS Annual Scientific Congress 2025 Abstract Journal Hernia Surgery (2025) ANZ J Surg 95(S1):86–90. 10.1111/ans.70067 [Google Scholar]
- 123.Liu W, Xie Y, Zheng Y, He W, Qiao K, Meng H (2021) Regulatory science for hernia mesh: current status and future perspectives. Bioactive Mater 6(2):420–432. 10.1016/j.bioactmat.2020.08.021 [Google Scholar]
- 124.Dykema R (2019) Printing for the perfect fit: balancing FDA regulation of 3D printed medical devices. Wis Law Rev 2019(3):593–621 [Google Scholar]
- 125.Foster KR (2017) 3-Dimensional Printing in Medicine: Hype, Hope, and the Challenge of Personalized Medicine. pp. 211 – 28
- 126.Therapeutic Goods Administration (2025) Understanding regulation of custom-made medical devices. https://www.tga.gov.au/resources/guidance/understanding-regulation-custom-made-medical-devices Accessed 2025.
- 127.Willemsen K, Nizak R, Noordmans HJ, Castelein RM, Weinans H, Kruyt MC (2019) Challenges in the design and regulatory approval of 3D-printed surgical implants: a two-case series. Lancet Digit Health 1(4):e163–e71. 10.1016/s2589-7500(19)30067-6 [DOI] [PubMed] [Google Scholar]
- 128.Georgantis G, Kostidi E, Dagkinis I, Papachristos D, Nikitakos N (2019) Quality and safety in medical 3D printing. pp. 69–84
- 129.Pettersson ABV, Ballardini RM, Mimler M, Li P, Salmi M, Minssen T et al (2024) Core legal challenges for medical 3D printing in the EU. Healthcare 12(11):1114. 10.3390/healthcare12111114 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 130.Therapeutic Goods Administration (2023) Medical practitioners’ guide to up-classifying surgical mesh. https://www.tga.gov.au/resources/resource/guidance/medical-practitioners-guide-classifying-surgical-mesh Accessed 2024.
- 131.Schwartz MD (2019) RP. 3D printing and regulatory challenges: devices, drugs and biologics. Regulatory focus. Regulatory Affairs Professionals Society (RAPS)
- 132.Australian Government Department of Health and Aged Care Therapeutic Goods Administration (2024) Australian Register of Therapeutic Goods (ARTG). https://www.tga.gov.au/resources/artg Accessed 2024
- 133.Therapeutic Goods Administration (2024) Meeting 3D printing (additive manufacturing) rules for medical devices. https://www.tga.gov.au/resources/guidance/meeting-3d-printing-additive-manufacturing-rules-medical-devices Accessed 2025
- 134.Feitshans I (2022) 3D printed medical devices: issues for patient safety. Med Law 41(1):55–66 [Google Scholar]
- 135.Feeley J (2024) Becton Dickinson Hernia-Mesh Settlements Will Exceed $1 Billion. https://www.bloomberg.com/news/articles/2024-10-03/becton-dickinson-hernia-mesh-settlements-will-exceed-1-billion Accessed 2025.
- 136.United States Food and Drug Administration (2023) : K232602 Premarket Notification: 3DMatrix Surgical Mesh. https://www.accessdata.fda.gov/cdrh_docs/pdf23/K232602.pdf Accessed 2025.
- 137.Business Research Insights (2024) 3D Printed Orthopedic Implants Market Size, Share, Grwoth and Industry Analysis, By Type (Metal, Polymer, Other), By Application (Joint, Spine, Other) and Regional Forecast From 2025 to 2033. https://www.businessresearchinsights.com/market-reports/3d-printed-orthopedic-implants-market-104621 Accessed 2025
- 138.Tack P, Victor J, Gemmel P, Annemans L (2021) Do custom 3D-printed revision acetabular implants provide enough value to justify the additional costs? The health-economic comparison of a new porous 3D-printed hip implant for revision arthroplasty of Paprosky type 3B acetabular defects and its closest alternative. Orthop Traumatol Surg Res 107(1):102600. 10.1016/j.otsr.2020.03.012 [DOI] [PubMed] [Google Scholar]
- 139.MohanaSundaram A, Kamalakannan Y, Raja V, Mofatteh M, Haque MA (2024) The world’s first 3D-printed PEEK cranial implant: a new horizon in precision and personalized neurosurgery. Neurosurg Rev. 10.1007/s10143-024-02867-2 [DOI] [PubMed] [Google Scholar]
- 140.Young E, Vissapragada R, Bulamu NB, Raju DP, McDonald CR (2021) Outsourcing robotic-assisted operations to private hospitals: cost analysis of a retrospective cohort. ANZ J Surg 91(11):2352–2359. 10.1111/ans.17040 [DOI] [PubMed] [Google Scholar]
- 141.Grillo A, Hyder Z, Mudera V, Kureshi A (2022) In vitro characterisation of low-cost synthetic meshes intended for hernia repair in the UK. Hernia 26(1):325–334. 10.1007/s10029-021-02401-z [DOI] [PMC free article] [PubMed] [Google Scholar]
- 142.Wang X, Mu M, Yan J, Han B, Ye R, Guo G (2024) 3D printing materials and 3D printed surgical devices in oral and maxillofacial surgery: design, workflow and effectiveness. Regen Biomater. 10.1093/rb/rbae066 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 143.Rhemtulla IA, Hsu JY, Broach RB, Mauch JT, Serletti JM, DeMatteo RP et al (2021) The incisional hernia epidemic: evaluation of outcomes, recurrence, and expenses using the healthcare cost and utilization project (HCUP) datasets. Hernia 25(6):1667–1675. 10.1007/s10029-021-02405-9 [DOI] [PubMed] [Google Scholar]
- 144.Mordor Intelligence (2025) Hernia Mesh Device Market Research on Size, Share, Trends, Segments, Regions and Competition. https://www.mordorintelligence.com/industry-reports/hernia-mesh-devices-market Accessed 2025
- 145.Doherty DA, Tong SYC, Reilly J, Shrapnel J, McDonald S, Ahern S et al (2023) Registry randomised trials: a methodological perspective. BMJ Open 13(3):e068057. 10.1136/bmjopen-2022-068057 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 146.Radenkovic D, Keogh SB, Maruthappu M (2019) Data science in modern evidence-based medicine. J R Soc Med 112(12):493–494. 10.1177/0141076819871055 [DOI] [PMC free article] [PubMed] [Google Scholar]
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