Skip to main content
JBMR Plus logoLink to JBMR Plus
letter
. 2026 May 13;10(6):ziag046. doi: 10.1093/jbmrpl/ziag046

Concerns regarding the critical evaluation of 3D-Shaper

Ludovic Humbert 1,✉, Sam Wilson 2
PMCID: PMC13192540  PMID: 42181911

We read with interest the recent review by Dr Whitmarsh1; however, we believe that it presents an unbalanced and, at times, potentially misleading analysis of the 3D-Shaper® software.

First, the author’s description of his role as “the inventor and developer” of the methods discussed in the review reflects an overstated and misleading representation of the collaborative and multi-institutional nature of the original academic research.2 Furthermore, the author has not been involved in subsequent technological developments since 2012, including the cortical and trabecular analysis methods developed by the 3D-Shaper Medical team,3 which are extensively discussed in the review.

Accuracy and precision

The author hypothesizes that the number of modes underlying the 3D-Shaper’s statistical model may be insufficient, noting that this information was not specified in prior publications. We clarify that, consistent with our earlier developments,4 the number of retained modes was determined using Cattell’s scree test,5 resulting in 12 shape modes and 11 density modes.

The author expresses concerns that “cortical parameters are not directly measured”. This reflects a misunderstanding of model-based reconstruction approaches, as all 3D-Shaper parameters are estimated. The critical question is how accurate these estimates are.

Agreement between 3D-Shaper and QCT has been assessed in multiple studies.6–11 Additional pooled analyses of data from several studies6–8 are currently in preparation for publication, and they suggest agreement between 3D-Shaper and QCT. Collectively, these studies included data from 742 adults and 77 cadaver specimens. Standard statistical metrics were used to evaluate both systematic and random errors, as well as the correlation between 3D-Shaper- and QCT-derived parameters. At the total hip, correlation coefficients (R) ranged from 0.84 to 0.96 for integral vBMD,6–9,11 from 0.79 to 0.93 for trabecular vBMD,6–8,11 from 0.84 to 0.93 for cortical sBMD,7,8 from 0.87 to 0.92 for cortical thickness,6 and from 0.91 to 0.94 for cortical vBMD.6 The moderate correlations (from 0.48 to 0.62) reported for cortical vBMD in the STRUCTURE trial likely reflect methodological differences, “QCT-based MIAF software and 3D-SHAPER software using different approaches for cortical segmentation, region of interest definition, and the definition of the trabecular bone”.11

The author relies on one of these accuracy studies6 to suggest that, “if an individual’s cortical bone appears to change, it remains unclear whether this arises from genuine physiological change, or from the inherent 3D-DXA measurement error”. Assessing longitudinal changes requires consideration of both accuracy and precision. However, the review omits discussion of the 3D-Shaper’s precision data. A key publication reported that 3D-Shaper and DXA demonstrate comparable performance in detecting longitudinal changes, with trend assessment intervals at the total hip of 2.9 yr for integral vBMD, 2.6 yr for trabecular vBMD, and 3.5 yr for cortical sBMD, compared with 2.7 yr for areal BMD (aBMD).12 The precision of 3D-Shaper measurements was further confirmed in a more recent study.13

Longitudinal assessment

Throughout the article, the author repeatedly frames the correlation between aBMD and 3D-Shaper parameters as a point of concern, a view similarly reported in previous research.14 However, this correlation is entirely expected because of a well-established physiological principle: individuals with higher overall bone density, as indicated by aBMD, also tend to have higher cortical and trabecular bone densities. Building on this point, the review states: “if aBMD increases, the 3D-DXA analysis will show simultaneous increases in trabecular BMD, cortical BMD, and cortical thickness”.

Multiple key publications, however, have demonstrated that 3D-Shaper cortical and trabecular parameters can behave differently—for example, one increasing while the other decreases or remains unchanged.11,15–18 These findings show that 3D-Shaper provides information beyond aBMD, thereby contradicting the review’s assertion.

In the 3D-Shaper sub-analysis of the ACTIVE trial,16 subjects receiving 18 mo of abaloparatide or teriparatide experienced a similar and significant increase in trabecular vBMD versus baseline, but “only abaloparatide significantly increased cortical vBMD”. No significant change in cortical vBMD was observed with teriparatide.

Two other 3D-Shaper studies from Germany and Japan confirmed that teriparatide significantly increased trabecular vBMD, while cortical vBMD either significantly decreased or showed no significant change.17,18

In the 3D-Shaper sub-analysis of the STRUCTURE trial,11,15 patients previously treated with bisphosphonates and receiving 12 mo of teriparatide showed a significant increase in trabecular vBMD (p < .001) whilst simultaneously showing a significant decrease in cortical vBMD from baseline (p < .001). Although the statistical analysis in the original article focused on group differences, we report here the significance from baseline, assessed using repeated measures models adjusting for treatment, visit, baseline serum β-isomer of the CTx (β-CTx) value, baseline value, DXA-machine type, treatment-by-visit interaction, and baseline value-by-machine type interaction. These findings align with the QCT analysis of a comparable group of subjects from the STRUCTURE trial, which likewise showed a significant increase in trabecular vBMD and a significant decrease in cortical vBMD. Although differences in the magnitude of these changes were observed, they may be attributable to the “QCT-based MIAF software and 3D-SHAPER software using different approaches for cortical segmentation, region of interest definition, and the definition of the trabecular bone”.11

Collectively, these studies consistently reported significant increases in trabecular vBMD, accompanied by either significant decreases or no significant changes in cortical vBMD in patients receiving teriparatide. These findings demonstrate that 3D-Shaper evaluates cortical and trabecular bone changes beyond aBMD, thus invalidating the hypothesis presented in this review that changes in 3D-DXA cortical and trabecular parameters merely mirror those in aBMD.

Finally, although findings may vary across studies evaluating the same treatments, such differences often reflect study design or subject characteristics. Notably, significant differences have also been observed in QCT-based studies evaluating the same treatments, where additional sources of variability arise from the specific QCT calibration phantom and image analysis software employed,19 thereby challenging the notion of QCT as a gold standard for cortical and trabecular measurements.

Intended use and regulatory

The review’s description of the available versions of 3D-Shaper is inaccurate or outdated.

There are 2 independent products available. 3D-Shaper Research (version 2.14) provides a comprehensive set of 71 bone parameters and is intended exclusively for investigational use. The color-coded 3D representations and cross-sectional images mentioned are for group-level analyses, not individual patient assessment. As such, statistically significant changes can be detected and interpreted across cohorts—even when the effect size is smaller than the absolute measurement precision—provided that the sample size is sufficiently large.

In contrast, the clinical version 2.14 of 3D-Shaper computes only 3 key parameters at the total hip: integral vBMD, trabecular vBMD, and cortical surface BMD (sBMD). These 3 measurements are the only ones intended to support bone health evaluation in clinical settings.

Furthermore, the review’s description of regulatory requirements does not reflect current regulatory processes worldwide, suggesting that agencies such as the FDA would only require “a correlation study” to clear 3D-Shaper as a medical device. Regulatory clearance requires the submission of comprehensive documentation, including software validation and verification data, supporting scientific evidence, and quality management records, which, in many territories, must also be upheld through periodic reviews. 3D-Shaper has consistently undergone rigorous quality and regulatory assessments, earning a CE marking (Europe) and regulatory clearances from authorities such as the US FDA, Japan’s PMDA, and Brazil’s ANVISA.

Conclusion

We are confident that this letter addresses the main concerns raised and affirms that the 3D-Shaper software is a safe, effective, and validated tool suitable for use in clinical practice—within its intended use and where cleared for use—and in clinical research.

Contributor Information

Ludovic Humbert, 3D-Shaper Medical, 08007 Barcelona, Spain.

Sam Wilson, 3D-Shaper Medical, 08007 Barcelona, Spain.

Author contributions

Ludovic Humbert (Conceptualization, Methodology, Project administration, Resources, Supervision, Validation, Writing—original draft, Writing—review & editing), Sam Wilson (Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Resources, Supervision, Validation, Writing—original draft, Writing—review & editing)

Funding

None declared.

Conflicts of interest

L.H. and S.W. are employees and shareholders of 3D-Shaper Medical.

Data availability

Data sharing is not applicable to this letter, as no datasets were generated or analyzed during the current study.

References

  • 1. Whitmarsh  T. Critical evaluation of 3D-DXA and 3D-shaper: methodological limitations and their implications. JBMR Plus. 2025;9(9). 10.1093/jbmrpl/ziaf075 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 2. Whitmarsh  T. 3D Reconstruction of the Proximal Femur and Lumbar Vertebrae from Dual-Energy X-Ray Absorptiometry for Osteoporotic Fracture Risk Assessment. https://www.tdx.cat/handle/10803/94492.  Pompeu Fabra University, Barcelona, Spain; 2012. [Google Scholar]
  • 3. Humbert  L, Hazrati Marangalou  J, Del Río Barquero  LM, van Lenthe  GH, Van Rietbergen  B. Technical note: cortical thickness and density estimation from clinical CT using a prior thickness-density relationship. Med Phys. 2016;43(4):1945-1954. 10.1118/1.4944501 [DOI] [PubMed] [Google Scholar]
  • 4. Whitmarsh  T, Humbert  L, De Craene  M, Del Rio Barquero LM, Frangi  AF. Reconstructing the 3D shape and bone mineral density distribution of the proximal femur from dual-energy X-ray absorptiometry. IEEE Trans Med Imaging. 2011;30(12):2101-2114. 10.1109/TMI.2011.2163074 [DOI] [PubMed] [Google Scholar]
  • 5. Cattell  RB. The scree test for the number of factors. Multivariate Behav Res. 1966;1(2):245-276. 10.1207/s15327906mbr0102_10 [DOI] [PubMed] [Google Scholar]
  • 6. Humbert  L, Martelli  Y, Fonollà  R, et al.  3D-DXA: assessing the femoral shape, the trabecular macrostructure and the cortex in 3D from DXA images. IEEE Trans Med Imaging. 2017;36(1):27-39. 10.1109/TMI.2016.2593346 [DOI] [PubMed] [Google Scholar]
  • 7. Sone  T, Humbert  L, Lopez Picazo  M, Winzenrieth  R, Ohnaru  K. Assessment of femoral shape, trabecular and cortical bone in Japanese subjects using DXA-based 3D modelling. J Bone Miner Res. 2021;37(S1):214. [Google Scholar]
  • 8. Lopez Picazo  M, Humbert  L, Winzenrieth  R, Black  D. Accuracy of femoral shape, trabecular and cortical bone measurements using DXA-based 3D modelling in subjects from the US. J Bone Miner Res. 2022;38(S1):156. [Google Scholar]
  • 9. Dudle  A, Gugler  Y, Pretterklieber  M, Ferrari  S, Lippuner  K, Zysset  P. 2D-3D reconstruction of the proximal femur from DXA scans: evaluation of the 3D-shaper software. Front Bioeng Biotechnol. 2023;11. 10.3389/fbioe.2023.1111020 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 10. Clotet  J, Martelli  Y, Di Gregorio  S, del Río Barquero  LM, Humbert  L. Structural parameters of the proximal femur by 3-dimensional dual-energy X-ray absorptiometry software: comparison with quantitative computed tomography. J Clin Densitom. 2018;21(4):550-562. 10.1016/j.jocd.2017.05.002 [DOI] [PubMed] [Google Scholar]
  • 11. Lewiecki  EM, Betah  D, Humbert  L, et al.  Effects of romosozumab and teriparatide on hip bone using 3D-SHAPER in postmenopausal women with osteoporosis. JBMR Plus. 2025;9(11). 10.1093/jbmrpl/ziaf151 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 12. Humbert  L, Winzenrieth  R, Di Gregorio  S, et al.  3D analysis of cortical and trabecular bone from hip DXA:precision and trend assessment interval in postmenopausal women. J Clin Densitom. 2019;22(2):214-218. 10.1016/j.jocd.2018.05.001 [DOI] [PubMed] [Google Scholar]
  • 13. Krueger  D, Binkley  N, Madeira  M, et al.  3D-DXA cortical and trabecular parameters; agreement and precision between GE healthcare prodigy and iDXA densitometers. medRxiv. [Published online January 1, 2026]. 10.64898/2026.03.04.26347524 [DOI]
  • 14. Huininga  K, Koromani  F, Zillikens  MC, van Velsen  EFS, Rivadeneira  F. Use of DXA-derived 3D-modeling, as implemented by 3D-shaper, for the assessment of fracture risk in a population-based setting. J Bone Miner Res. 2026;41(2):128-135. 10.1093/jbmr/zjaf120 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 15. Lewiecki  EM, Betah  D, Humbert  L, et al.  Comparison of romosozumab and teriparatide effects on cortical and trabecular bone using 3D modeling from DXA images in postmenopausal women transitioning from bisphosphonate therapy. J Bone Miner Metab. 2022;37(S1):1075. [Google Scholar]
  • 16. Winzenrieth  R, Ominsky  MS, Wang  Y, Humbert  L, Weiss  RJ. Differential effects of abaloparatide and teriparatide on hip cortical volumetric BMD by DXA-based 3D modeling. Osteoporos Int. 2021;32(3):575-583. 10.1007/s00198-020-05806-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 17. Hadji  P, Kamali  L, Thomasius  F, Horas  K, Kurth  A, Bock  N. Real-world efficacy of a teriparatide biosimilar (RGB-10) compared with reference teriparatide on bone mineral density, trabecular bone score, and bone parameters assessed using quantitative ultrasound, 3D-SHAPER and high-resolution peripheral computer tomography in postmenopausal women with osteoporosis and very high fracture risk. Osteoporos Int. 2024;35(12):2107-2116. 10.1007/s00198-024-07208-z [DOI] [PMC free article] [PubMed] [Google Scholar]
  • 18. Takada  J, Okimoto  N, Tsukamoto  M, et al.  Effects of differences in dose and frequency of teriparatide on bone structure in proximal femur – analysis by DXA-based 3D-modeling (3D-SHAPER software) – TRIPLE-BONE study the effects of TeRIParatide preparation on bone mineral density increase and BON. Arch Osteoporos. 2024;19(1):1-11. 10.1007/s11657-024-01415-1 [DOI] [PubMed] [Google Scholar]
  • 19. Wang  L, Museyko  O, Su  Y, et al.  QCT of the femur: comparison between QCTPro CTXA and MIAF femur. Bone.  2019;120:262-270. 10.1016/j.bone.2018.10.016 [DOI] [PubMed] [Google Scholar]

Associated Data

This section collects any data citations, data availability statements, or supplementary materials included in this article.

Data Availability Statement

Data sharing is not applicable to this letter, as no datasets were generated or analyzed during the current study.


Articles from JBMR Plus are provided here courtesy of Oxford University Press

RESOURCES