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The use of a real-time computer-aided detection system for visible lesions in the Barrett's esophagus during live endoscopic procedures: a pilot study (video).
Fockens, Kiki N; Jukema, Jelmer B; Jong, Martijn R; Boers, Tim; van der Putten, Joost A; Kusters, Carolus H J; Pouw, Roos E; Duits, Lucas C; van der Sommen, Fons; de With, Peter H; de Groof, A Jeroen; Bergman, Jacques J.
Affiliation
  • Fockens KN; Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Jukema JB; Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Jong MR; Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Boers T; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
  • van der Putten JA; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
  • Kusters CHJ; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
  • Pouw RE; Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Duits LC; Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • van der Sommen F; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
  • de With PH; Department of Electrical Engineering, Eindhoven University of Technology, Eindhoven, the Netherlands.
  • de Groof AJ; Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands.
  • Bergman JJ; Department of Gastroenterology and Hepatology, Amsterdam Gastroenterology, Endocrinology and Metabolism, Amsterdam UMC, University of Amsterdam, Amsterdam, the Netherlands. Electronic address: j.j.bergman@amsterdamumc.nl.
Gastrointest Endosc ; 2024 Apr 09.
Article in En | MEDLINE | ID: mdl-38604297
ABSTRACT
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.).

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Gastrointest Endosc Year: 2024 Document type: Article Affiliation country:

Full text: 1 Collection: 01-internacional Database: MEDLINE Language: En Journal: Gastrointest Endosc Year: 2024 Document type: Article Affiliation country:
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