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VERSION:2.0
PRODID:Linklings LLC
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TZID:America/Chicago
X-LIC-LOCATION:America/Chicago
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DTSTART:19700308T020000
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DTSTART:19701101T020000
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BEGIN:VEVENT
DTSTAMP:20251016T135130Z
LOCATION:Riverside East
DTSTART;TZID=America/Chicago:20251015T173000
DTEND;TZID=America/Chicago:20251015T183000
UID:HFESAM_ASPIRE 2025_sess138_POST467@linklings.com
SUMMARY:Polyp Detection in Colonoscopy Training: A Qualitative Analysis of
  Resident Challenges and Expert Strategies
DESCRIPTION:Isra Elsaadany, Sanaz Motamedi, Jason Moore, and Scarlett Mill
 er (Pennsylvania State University)\n\nColorectal cancer (CRC) is a leading
  cause of mortality, with early detection through colonoscopy being crucia
 l for reducing death rates. However, effective screening depends on a phys
 ician’s ability to detect precancerous polyps, with miss rates reaching up
  to 26%. Simulation-based training (SBT) can improve colonoscopy skills ho
 wever, physical simulators (PS) which are more realistic than virtual real
 ity simulators, lack integrated feedback, limiting their effectiveness in 
 improving polyp detection (PD). This study identifies the challenges resid
 ents face during colonoscopy insertion and polyp detection and explores ex
 pert strategies for optimizing PD. Results indicate that residents struggl
 e with colon navigation, scope manipulation, and inspecting folds, while e
 xperts utilize techniques such as actively inspecting folds, lumen centeri
 ng, re-advancing the scope, and slow withdrawal. These findings emphasize 
 the need for targeted feedback on PS to address these challenges. Developi
 ng feedback-driven training strategies during simulation-based training us
 ing these expert strategies may help reduce polyp miss rates.\n\n
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