TY - JOUR
T1 - The use of a real-time computer-aided detection system for visible lesions in the Barrett's esophagus during live endoscopic procedures
T2 - a pilot study (with video)
AU - Barrett's Oesophagus Imaging for Artificial Intelligence (BONS-AI) consortium
AU - Fockens, Kiki N.
AU - Jukema, Jelmer B.
AU - Jong, Martijn R.
AU - Boers, Tim
AU - van der Putten, Joost A.
AU - Kusters, Koen
AU - Pouw, Roos E.
AU - Duits, Lucas C.
AU - van der Sommen, Fons
AU - de With, Peter H.N.
AU - de Groof, Albert J. (Jeroen)
AU - Bergman, Jacques B.
PY - 2024/9
Y1 - 2024/9
N2 - Background and aims: This pilot study evaluated the performance of a recently developed computer-aided detection (CADe) system for Barrett's neoplasia during live endoscopic procedures. Methods: Fifteen patients with a visible lesion and 15 without were included in this study. A CAD-assisted workflow was used that included a slow pullback video recording of the entire Barrett's segment with live CADe assistance, followed by CADe-assisted level-based video recordings every 2 cm of the Barrett's segment. Outcomes were per-patient and per-level diagnostic accuracy of the CAD-assisted workflow, in which the primary outcome was per-patient in vivo CADe sensitivity. Results: In the per-patient analyses, the CADe system detected all visible lesions (sensitivity 100%). Per-patient CADe specificity was 53%. Per-level sensitivity and specificity of the CADe assisted workflow were 100% and 73%, respectively. Conclusions: In this pilot study, detection by the CADe system of all potentially neoplastic lesions in Barrett's esophagus was comparable to that of an expert endoscopist. Continued refinement of the system may improve specificity. External validation in larger multicenter studies is planned. (Clinical trial registration number: NCT05628441.)
AB - Background and aims: This pilot study evaluated the performance of a recently developed computer-aided detection (CADe) system for Barrett's neoplasia during live endoscopic procedures. Methods: Fifteen patients with a visible lesion and 15 without were included in this study. A CAD-assisted workflow was used that included a slow pullback video recording of the entire Barrett's segment with live CADe assistance, followed by CADe-assisted level-based video recordings every 2 cm of the Barrett's segment. Outcomes were per-patient and per-level diagnostic accuracy of the CAD-assisted workflow, in which the primary outcome was per-patient in vivo CADe sensitivity. Results: In the per-patient analyses, the CADe system detected all visible lesions (sensitivity 100%). Per-patient CADe specificity was 53%. Per-level sensitivity and specificity of the CADe assisted workflow were 100% and 73%, respectively. Conclusions: In this pilot study, detection by the CADe system of all potentially neoplastic lesions in Barrett's esophagus was comparable to that of an expert endoscopist. Continued refinement of the system may improve specificity. External validation in larger multicenter studies is planned. (Clinical trial registration number: NCT05628441.)
KW - Adenocarcinoma/pathology
KW - Aged
KW - Aged, 80 and over
KW - Barrett Esophagus/pathology
KW - Diagnosis, Computer-Assisted
KW - Esophageal Neoplasms/pathology
KW - Esophagoscopy/methods
KW - Female
KW - Humans
KW - Male
KW - Middle Aged
KW - Pilot Projects
KW - Sensitivity and Specificity
KW - Video Recording
UR - http://www.scopus.com/inward/record.url?scp=85197053713&partnerID=8YFLogxK
U2 - 10.1016/j.gie.2024.04.011
DO - 10.1016/j.gie.2024.04.011
M3 - Article
C2 - 38604297
SN - 0016-5107
VL - 100
SP - 527-531.e3
JO - Gastrointestinal Endoscopy
JF - Gastrointestinal Endoscopy
IS - 3
ER -