Endoscopic submucosal dissection (ESD) requires advanced technical skills, including the ability to maintain stable visualisation and dissect within the submucosal layer while controlling bleeding and perforation 1 . Training is largely on-the-job, increasing safety and standardisation concerns 2 . Existing dry simulators allow basic incision and dissection practice but cannot reproduce critical complications or air-responsive luminal deformation 3 4 . To bridge these gaps, we developed a dry simulator capable of reproducing the full ESD sequence, including bleeding and perforation, within deformable stomach and colon lumens.
The simulator features a multilayered resectable lesion sheet mounted within a flexible lumen. The resin-based sheet reproduced the gastrointestinal tract layers including mucosa, submucosa, and muscularis propria. Sodium polyacrylate and polyethylene terephthalate fibres replicated submucosal lifting and tactile resistance. Simulated arteries were embedded in the submucosa to allow controlled bleeding 5 , while accidental deep incision exposed a yellow fat-like layer, effectively simulating perforation ( Fig. 1 , Fig. 2 ). The silicone-based airtight lumen, which deforms in response to air volume control, enabled realistic scope handling. The cardia and anal sphincter were modelled with thermoplastic elastomers to provide stable yet soft gripping, closely resembling real-patient procedures ( Fig. 3 ).
Fig. 1.
Structure of the multilayer resectable lesion sheet and associated complication reproduction. An overview of the endoscopic submucosal dissection (ESD) sheet that mimics mucosa, submucosa, muscularis propria, and an omentum-like adipose layer. The submucosa incorporates an absorbent polymer and fibres to reproduce submucosal lifting and tactile resistance during dissection. Artificial submucosal arteries permit controlled bleeding, and exposure of a yellow fat-like layer indicates perforation. Representative endoscopic views illustrate incision, submucosal dissection, bleeding, hemostasis, and perforation appearance.
Fig. 2.
An automatic bleeding trigger mechanism. Demonstration of automated trigger for the reproducible onset of bleeding, used in standardised hemostasis practice.
Fig. 3.
Upper-gastrointestinal and colon lumen models. The silicone-based, airtight lumens deform with insufflation and suction enabling realistic scope handling. The luminal pattern permits the adjustment of the lesion placement to reflect different anatomic configurations. The airtight design also enables observation under water and gel-immersion endoscopy. Representative images show deformation with air-volume control and lesion positioning in stomach and colon configurations.
Validation was performed on gastric antral lesions by five board-certified expert endoscopists between July and August 2025 ( Fig. 4 ). The median total procedure time was 25:42 (interquartile range [IQR] 22: 22–29:46) with low dispersion (coefficient of variation = 0.19). The median hemostasis time was 2:40 (IQR 2: 04–3: 52), with values clustering within 2 minutes of the median. Expectations for simulator-based learning rose following the trial compared to pre-trial levels. Free-text analysis identified the frequent co-occurrence of positive words such as “realistic,” and “useful” with procedural terms. A representative sequence of injection, dissection, bleeding, and perforation management is shown in Video 1 . This simulator provides realistic, reproducible simulation-based ESD training, promoting safer and more standardised education.
Fig. 4.
Expert validation of the novel ESD simulator. The pilot evaluation was conducted using the upper GI model. The resectable lesion sheet was affixed to the greater curvature of the gastric antrum, which is a common site for ESD practice. a Total procedure time ( N = 5). Boxplot with individual data points. Cross marks (×) indicate each expert’s score. The median total time was 25:42 (IQR 22: 22–29: 46; 1542 [1342–1786] sec), showing low variability (CV = 0.19). b Hemostasis time ( N = 5). Boxplot with individual data points. Cross marks (×) indicate each expert’s score. The median hemostasis time was 2: 40 (IQR 2:04–3: 52; 160 [124–232] sec). c Expectations of simulator-based training using this model. VAS scores improved after the procedure (median 76, IQR 74–78 at baseline; median 99, IQR 95–100 post-procedure). d Free-text analysis by the co-occurrence network. The node size indicates the document frequency, and the edge thickness reflects the Jaccard index. Only word pairs with a Jaccard index of >0.2 are shown. Blue nodes represent positive words identified in expert comments (e.g., realistic, actual, and useful). CV, coefficient of variation; ESD, endoscopic submucosal dissection; GI, gastrointestinal; IQR, interquartile range; VAS, visual analogue scale.
A simulated ESD procedure and its complications. An air-responsive flexible lumen; the multilayer sheet for the full ESD procedure (injection, incision, dissection, and excision); controlled bleeding visualised with gel immersion and Red dichromatic imaging (RDI); hemostasis, and perforation following muscular injury.
Video 1
Endoscopy_UCTN_Code_TTT_1AU_2AB
Acknowledgement
We thank Mr. Yutaro Arata (Graduate Medical Education Center, Tohoku University Hospital) for his valuable support in project initiation and advisory roles. We also gratefully acknowledge Denka Co., Ltd. and U-A Corporation for providing prototype samples as part of our industry-academia collaborative research, and specifically thank Shinichi Yamada, Yuka Minegishi, and Hiroshi Inanaga (all from U-A Co., Ltd.) for their kind advice and assistance with the composition and arrangement of certain illustrations.
Footnotes
Conflict of Interest Dr. Takeshi Kanno has joint research funds from Denka Co., Ltd. and U-A Corporation. However, these companies had no control over this work’s interpretation, writing, or publication. The remaining authors have no conflict of interest to declare.
Contributorsʼ Statement Takeshi Kanno: Conceptualization, Formal analysis, Funding acquisition, Methodology, Project administration, Writing – original draft. Yutaka Hatayama: Investigation, Writing – review & editing. Suguo Suzuki: Data curation, Writing – review & editing. Waku Hatta: Validation, Writing – review & editing. Kaname Uno: Validation, Writing – review & editing. Tomoyuki Koike: Validation, Writing – review & editing. Atsushi Masamune: Supervision, Writing – review & editing.
References
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