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Hiroto Noda 1 Article
Three-Dimensional Flexible Endoscopy Can Facilitate Efficient and Reliable Endoscopic Hand Suturing: An ex-vivo Study
Jun Omori, Osamu Goto, Kazutoshi Higuchi, Takamitsu Umeda, Naohiko Akimoto, Masahiro Suzuki, Kumiko Kirita, Eriko Koizumi, Hiroto Noda, Teppei Akimoto, Mitsuru Kaise, Katsuhiko Iwakiri
Clin Endosc 2020;53(3):334-338.   Published online April 24, 2020
DOI: https://doi.org/10.5946/ce.2019.207
AbstractAbstract PDFSupplementary MaterialPubReaderePub
Background
/Aims: Three-dimensional (3D) flexible endoscopy, a new imaging modality that provides a stereoscopic view, can facilitate endoscopic hand suturing (EHS), a novel intraluminal suturing technique. This ex-vivo pilot study evaluated the usefulness of 3D endoscopy in EHS.
Methods
Four endoscopists (two certified, two non-certified) performed EHS in six sessions on a soft resin pad. Each session involved five stitches, under alternating 3D and two-dimensional (2D) conditions. Suturing time (sec/session), changes in suturing time, and accuracy of suturing were compared between 2D and 3D conditions.
Results
The mean suturing time was shorter in 3D than in 2D (9.8±3.4 min/session vs. 11.2±5.1 min/session) conditions and EHS was completed faster in 3D conditions, particularly by non-certified endoscopists. The suturing speed increased as the 3D sessions progressed. Error rates (failure to grasp the needle, failure to thread the needle, and puncture retrial) in the 3D condition were lower than those in the 2D condition, whereas there was no apparent difference in deviation distance.
Conclusions
3D endoscopy may contribute to increasing the speed and accuracy of EHS in a short time period. Stereoscopic viewing during 3D endoscopy may help in efficient skill acquisition for EHS, particularly among novice endoscopists.

Citations

Citations to this article as recorded by  
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    Cem Simsek, Hung Leng Kaan, Hiroyuki Aihara
    Techniques and Innovations in Gastrointestinal Endoscopy.2023; 25(1): 95.     CrossRef
  • A three-dimensional measurement method for binocular endoscopes based on deep learning
    Hao Yu, Changjiang Zhou, Wei Zhang, Liqiang Wang, Qing Yang, Bo Yuan
    Frontiers of Information Technology & Electronic Engineering.2022; 23(4): 653.     CrossRef
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