Efficacy of a Three-Dimensional-Printed Training Simulator for Endoscopic Biopsy in the Stomach
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초록
Background/Aims: We used three-dimensional (3D) printing technology to create a new biopsy simulator for the stomach and investigated its efficacy and realism in endoscopic biopsy training. Methods: A novel stomach biopsy simulator, with 10 biopsy sites, was produced using a 3D printer. We enrolled 26 participants, including 10 residents, six first-year fellows, five second-year fellows, and five faculty members. We recorded and reviewed five training sessions and evaluated the simulator with questionnaires using a 7-point Likert scale. Results: The mean completion time (seconds) was 244.8±11.5 for the residents, 107.9±33.4 for the first-year fellows, 106.8±20.1 for the second-year fellows, and 103.8±19.2 for the faculty members. The completion time became shorter with repetition and was significantly lower for residents by the fifth trial (first trial, 347.0±159.5; fifth trial, 169.6±57.7; p=0.007). The faculty members strongly agreed that the simulator realistically reflected endoscopic handling and was reasonable for endoscopic training (scores of 6.2±0.8 and 6.4±0.9, respectively). Importantly, experienced endoscopists reported that the difficulty levels of the 10 biopsy sites in the simulator were a realistic match for the actual stomach. Conclusions: This endoscopic biopsy simulator created using a 3D printer is a realistic and useful method to improve the biopsy skills of trainee endoscopists.
Abstract
Background/Aims: We used three-dimensional (3D) printing technology to create a new biopsy simulator for the stomach and investigated its efficacy and realism in endoscopic biopsy training. Methods: A novel stomach biopsy simulator, with 10 biopsy sites, was produced using a 3D printer. We enrolled 26 participants, including 10 residents, six first-year fellows, five second-year fellows, and five faculty members. We recorded and reviewed five training sessions and evaluated the simulator with questionnaires using a 7-point Likert scale. Results: The mean completion time (seconds) was 244.8±11.5 for the residents, 107.9±33.4 for the first-year fellows, 106.8±20.1 for the second-year fellows, and 103.8±19.2 for the faculty members. The completion time became shorter with repetition and was significantly lower for residents by the fifth trial (first trial, 347.0±159.5; fifth trial, 169.6±57.7; p=0.007). The faculty members strongly agreed that the simulator realistically reflected endoscopic handling and was reasonable for endoscopic training (scores of 6.2±0.8 and 6.4±0.9, respectively). Importantly, experienced endoscopists reported that the difficulty levels of the 10 biopsy sites in the simulator were a realistic match for the actual stomach. Conclusions: This endoscopic biopsy simulator created using a 3D printer is a realistic and useful method to improve the biopsy skills of trainee endoscopists.
참고문헌 (18)
- Bisschops R, "A survey on gastroenterology training in Europe", Gut, 50, pp.724~729 (2002)[DOI]
- Bini EJ, "Systematic evaluation of complications related to endoscopy in a training setting: a prospective 30-day outcomes study", Gastrointest Endosc, 57, pp.8~16 (2003)
- Cohen J, "The next generation of endoscopic simulation", Am J Gastroenterol, 108, pp.1036~1039 (2013)[DOI]
- Ji Yong Ahn, "The Efficacy of a Newly Designed, Easy-to-Manufacture Training Simulator for Endoscopic Biopsy of the Stomach", Gut and Liver, 10(5), pp.764~772 (2016), 거트앤리버 소화기연관학회협의회
- Wurm G, "Cerebrovascular stereolithographic biomodeling for aneurysm surgery: technical note", J Neurosurg, 100, pp.139~145 (2004)[DOI]
- AbouHashem Y, "The application of 3D printing in anatomy education", Med Educ Online, 20, pp.29847~ (2015)[DOI]
- Naftulin JS, "Streamlined, inexpensive 3D printing of the brain and skull", PLoS One, 10, pp.e0136198~ (2015)[DOI]
- Tack P, "3D-printing techniques in a medical setting: a systematic literature review", Biomed Eng Online, 15, pp.115~ (2016)[DOI]
- Zerr J, "Three-dimensional printing for preoperative planning of total hip arthroplasty revision: case report", Skeletal Radiol, 45, pp.1431~1435 (2016)[DOI]
- Fedorov A, "3D Slicer as an image computing platform for the quantitative imaging network", Magn Reson Imaging, 30, pp.1323~1341 (2012)[DOI]
- Schneider AR, "Do it yourself: building an ERCP training system within 30 minutes (with videos)", Gastrointest Endosc, 79, pp.828~832 (2014)[DOI]
- Peltola SM, "A review of rapid prototyping techniques for tissue engineering purposes", Ann Med, 40, pp.268~280 (2008)[DOI]
- Barber SR, "3D-printed pediatric endoscopic ear surgery simulator for surgical training", Int J Pediatr Otorhinolaryngol, 90, pp.113~118 (2016)[DOI]
- Jones DB, "Three-dimensional modeling may improve surgical education and clinical practice", Surg Innov, 23, pp.189~195 (2016)[DOI]
- Soon DS, "3D haptic modelling for preoperative planning of hepatic resection: a systematic review", Ann Med Surg (Lond), 10, pp.1~7 (2016)[DOI]
- VanKoevering KK, "Advances in 3-dimensional printing in otolaryngology: a review", JAMA Otolaryngol Head Neck Surg, 143, pp.178~183 (2017)[DOI]
- Baskaran V, "Current applications and future perspectives of the use of 3D printing in anatomical training and neurosurgery", Front Neuroanat, 10, pp.69~ (2016)
- Qiao W, "The effect of virtual endoscopy simulator training on novices: a systematic review", PLoS One, 9, pp.e89224~ (2014)[DOI]