Computer-aided diagnosis system for colon abnormalities detection in wireless capsule endoscopy images

2017 ◽  
Vol 77 (3) ◽  
pp. 4047-4064 ◽  
Author(s):  
Said Charfi ◽  
Mohamed El Ansari
Keyword(s):  
Capsule Endoscopy ◽  
Computer Aided Diagnosis ◽  
Wireless Capsule Endoscopy ◽  
Diagnosis System ◽  
Computer Aided ◽  
Wireless Capsule ◽  
Aided Diagnosis

Computer-aided diagnosis of gastrointestinal protruded lesions using wireless capsule endoscopy: a systematic review and diagnostic test accuracy meta-analysis (Preprint)

2021 ◽  
Author(s):  
Chang Seok Bang ◽  
Jae Jun Lee ◽  
Gwang Ho Baik
Keyword(s):  
Systematic Review ◽  
Capsule Endoscopy ◽  
Diagnostic Performance ◽  
Meta Analysis ◽  
Wireless Capsule Endoscopy ◽  
Test Accuracy ◽  
Computer Aided ◽  
Cad Models ◽  
Wireless Capsule ◽  
Aided Diagnosis

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 This 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. CONCLUSIONS CAD models showed a high performance for the optical diagnosis of gastrointestinal protruded lesions based on wireless capsule endoscopy. CLINICALTRIAL Prospero registration number: id 276623

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