Your browser doesn't support javascript.
loading
Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis.
Kim, Hye Jin; Gong, Eun Jeong; Bang, Chang Seok; Lee, Jae Jun; Suk, Ki Tae; Baik, Gwang Ho.
Affiliation
  • Kim HJ; Department of Internal Medicine, Hallym University College of Medicine, Chuncheon 24253, Korea.
  • Gong EJ; Institute for Liver and Digestive Diseases, Hallym University, Chuncheon 24253, Korea.
  • Bang CS; Institute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, Korea.
  • Lee JJ; Department of Internal Medicine, Hallym University College of Medicine, Chuncheon 24253, Korea.
  • Suk KT; Institute for Liver and Digestive Diseases, Hallym University, Chuncheon 24253, Korea.
  • Baik GH; Department of Internal Medicine, Hallym University College of Medicine, Chuncheon 24253, Korea.
J Pers Med ; 12(4)2022 Apr 17.
Article in En | MEDLINE | ID: mdl-35455760
BACKGROUND: Wireless capsule endoscopy allows the identification of small intestinal protruded lesions, such as polyps, tumors, or venous structures. However, reading wireless capsule endoscopy images or movies is time-consuming, and minute lesions are easy to miss. Computer-aided diagnosis (CAD) has been applied to improve the efficacy of the reading process of wireless capsule endoscopy images or movies. However, there are no studies that systematically determine the performance of CAD models in diagnosing gastrointestinal protruded lesions. OBJECTIVE: The aim of this study was to evaluate the diagnostic performance of CAD models for gastrointestinal protruded lesions using wireless capsule endoscopic images. METHODS: Core databases were searched for studies based on CAD models for the diagnosis of gastrointestinal protruded lesions using wireless capsule endoscopy, and data on diagnostic performance were presented. A systematic review and diagnostic test accuracy meta-analysis were performed. RESULTS: Twelve studies were included. The pooled area under the curve, sensitivity, specificity, and diagnostic odds ratio of CAD models for the diagnosis of protruded lesions were 0.95 (95% confidence interval, 0.93-0.97), 0.89 (0.84-0.92), 0.91 (0.86-0.94), and 74 (43-126), respectively. Subgroup analyses showed robust results. Meta-regression found no source of heterogeneity. Publication bias was not detected. CONCLUSION: CAD models showed high performance for the optical diagnosis of gastrointestinal protruded lesions based on wireless capsule endoscopy.
Key words

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Systematic_reviews Language: En Journal: J Pers Med Year: 2022 Document type: Article Country of publication:

Full text: 1 Collection: 01-internacional Database: MEDLINE Type of study: Diagnostic_studies / Prognostic_studies / Systematic_reviews Language: En Journal: J Pers Med Year: 2022 Document type: Article Country of publication: