دورية أكاديمية
Prospective development and validation of a volumetric laser endomicroscopy computer algorithm for detection of Barrett's neoplasia.
| العنوان: | Prospective development and validation of a volumetric laser endomicroscopy computer algorithm for detection of Barrett's neoplasia. |
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| المؤلفون: | Struyvenberg MR; Department of Gastroenterology and Hepatology, Amsterdam UMC, location AMC, Amsterdam, the Netherlands., de Groof AJ; Department of Gastroenterology and Hepatology, Amsterdam UMC, location AMC, Amsterdam, the Netherlands., Fonollà R; Department of Electrical Engineering, VCA group, Eindhoven University of Technology, Eindhoven, the Netherlands., van der Sommen F; Department of Electrical Engineering, VCA group, Eindhoven University of Technology, Eindhoven, the Netherlands., de With PHN; Department of Electrical Engineering, VCA group, Eindhoven University of Technology, Eindhoven, the Netherlands., Schoon EJ; Department of Gastroenterology and Hepatology, Catharina Hospital, Eindhoven, the Netherlands., Weusten BLAM; Department of Gastroenterology and Hepatology, St. Antonius Hospital, Nieuwegein, the Netherlands., Leggett CL; Division of Gastroenterology and Hepatology, Mayo Clinic, Rochester, Minnesota, USA., Kahn A; Division of Gastroenterology and Hepatology, Mayo Clinic, Scottsdale, Arizona, USA., Trindade AJ; Division of Gastroenterology and Hepatology, Zucker School of Medicine at Hofstra/Northwell. Long Island Jewish Medical Center, New Hyde Park, New York, USA., Ganguly EK; Department of Gastroenterology and Hepatology, University of Vermont Medical Center, Burlington, Vermont, USA., Konda VJA; Department of Gastroenterology and Hepatology, Baylor University Medical Center at Dallas, Dallas, Texas, USA., Lightdale CJ; Division of Gastroenterology and Hepatology, New York-Presbyterian Hospital, New York, New York, USA., Pleskow DK; Department of Gastroenterology and Hepatology, Beth Israel Deaconess Medical Center, Boston, Massachusetts, USA., Sethi A; Department of Gastroenterology and Hepatology, Columbia University Medical Center, New York, New York, USA., Smith MS; Division of Gastroenterology and Hepatology, Mount Sinai West & Mount Sinai St. Luke's Hospitals, New York, New York, USA., Wallace MB; Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, USA., Wolfsen HC; Division of Gastroenterology and Hepatology, Mayo Clinic, Jacksonville, Florida, USA., Tearney GJ; Department of Pathology, Wellman Center for Photomedicine, Massachusetts General Hospital, Boston, Massachusetts, USA., Meijer SL; Department of Pathology, Amsterdam UMC, location AMC, Amsterdam, the Netherlands., Vieth M; Institute of Pathology, Bayreuth Clinic, Bayreuth, Germany., Pouw RE; Department of Gastroenterology and Hepatology, Amsterdam UMC, location AMC, Amsterdam, the Netherlands., Curvers WL; Department of Gastroenterology and Hepatology, Catharina Hospital, Eindhoven, the Netherlands., Bergman JJ; Department of Gastroenterology and Hepatology, Amsterdam UMC, location AMC, Amsterdam, the Netherlands. |
| المصدر: | Gastrointestinal endoscopy [Gastrointest Endosc] 2021 Apr; Vol. 93 (4), pp. 871-879. Date of Electronic Publication: 2020 Jul 29. |
| نوع المنشور: | Journal Article; Multicenter Study |
| اللغة: | English |
| بيانات الدورية: | Publisher: Mosby Yearbook Country of Publication: United States NLM ID: 0010505 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1097-6779 (Electronic) Linking ISSN: 00165107 NLM ISO Abbreviation: Gastrointest Endosc Subsets: MEDLINE |
| أسماء مطبوعة: | Publication: St Louis, Mo : Mosby Yearbook Original Publication: Denver. |
| مواضيع طبية MeSH: | Barrett Esophagus*/diagnostic imaging , Esophageal Neoplasms*/diagnostic imaging, Algorithms ; Computers ; Esophagoscopy ; Humans ; Lasers ; Microscopy, Confocal ; Netherlands ; Prospective Studies |
| مستخلص: | Background and Aims: Volumetric laser endomicroscopy (VLE) is an advanced imaging modality used to detect Barrett's esophagus (BE) dysplasia. However, real-time interpretation of VLE scans is complex and time-consuming. Computer-aided detection (CAD) may help in the process of VLE image interpretation. Our aim was to train and validate a CAD algorithm for VLE-based detection of BE neoplasia. Methods: The multicenter, VLE PREDICT study, prospectively enrolled 47 patients with BE. In total, 229 nondysplastic BE and 89 neoplastic (high-grade dysplasia/esophageal adenocarcinoma) targets were laser marked under VLE guidance and subsequently underwent a biopsy for histologic diagnosis. Deep convolutional neural networks were used to construct a CAD algorithm for differentiation between nondysplastic and neoplastic BE tissue. The CAD algorithm was trained on a set consisting of the first 22 patients (134 nondysplastic BE and 38 neoplastic targets) and validated on a separate test set from patients 23 to 47 (95 nondysplastic BE and 51 neoplastic targets). The performance of the algorithm was benchmarked against the performance of 10 VLE experts. Results: Using the training set to construct the algorithm resulted in an accuracy of 92%, sensitivity of 95%, and specificity of 92%. When performance was assessed on the test set, accuracy, sensitivity, and specificity were 85%, 91%, and 82%, respectively. The algorithm outperformed all 10 VLE experts, who demonstrated an overall accuracy of 77%, sensitivity of 70%, and specificity of 81%. Conclusions: We developed, validated, and benchmarked a VLE CAD algorithm for detection of BE neoplasia using prospectively collected and biopsy-correlated VLE targets. The algorithm detected neoplasia with high accuracy and outperformed 10 VLE experts. (The Netherlands National Trials Registry (NTR) number: NTR 6728.). (Copyright © 2021 American Society for Gastrointestinal Endoscopy. All rights reserved.) |
| تواريخ الأحداث: | Date Created: 20200801 Date Completed: 20210531 Latest Revision: 20210531 |
| رمز التحديث: | 20221213 |
| DOI: | 10.1016/j.gie.2020.07.052 |
| PMID: | 32735947 |
| قاعدة البيانات: | MEDLINE |
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