Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis
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) ha...
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| Format: | Article |
| Language: | English |
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MDPI AG
2022-04-01
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| Series: | Journal of Personalized Medicine |
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| Online Access: | https://www.mdpi.com/2075-4426/12/4/644 |
| _version_ | 1797410518891233280 |
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| author | Hye Jin Kim Eun Jeong Gong Chang Seok Bang Jae Jun Lee Ki Tae Suk Gwang Ho Baik |
| author_facet | Hye Jin Kim Eun Jeong Gong Chang Seok Bang Jae Jun Lee Ki Tae Suk Gwang Ho Baik |
| author_sort | Hye Jin Kim |
| collection | DOAJ |
| description | 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. |
| first_indexed | 2024-03-09T04:31:12Z |
| format | Article |
| id | doaj.art-cc3de66db4fd491a94c7c7e53b750729 |
| institution | Directory Open Access Journal |
| issn | 2075-4426 |
| language | English |
| last_indexed | 2024-03-09T04:31:12Z |
| publishDate | 2022-04-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Journal of Personalized Medicine |
| spelling | doaj.art-cc3de66db4fd491a94c7c7e53b7507292023-12-03T13:35:41ZengMDPI AGJournal of Personalized Medicine2075-44262022-04-0112464410.3390/jpm12040644Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-AnalysisHye Jin Kim0Eun Jeong Gong1Chang Seok Bang2Jae Jun Lee3Ki Tae Suk4Gwang Ho Baik5Department of Internal Medicine, Hallym University College of Medicine, Chuncheon 24253, KoreaDepartment of Internal Medicine, Hallym University College of Medicine, Chuncheon 24253, KoreaDepartment of Internal Medicine, Hallym University College of Medicine, Chuncheon 24253, KoreaInstitute of New Frontier Research, Hallym University College of Medicine, Chuncheon 24253, KoreaDepartment of Internal Medicine, Hallym University College of Medicine, Chuncheon 24253, KoreaDepartment of Internal Medicine, Hallym University College of Medicine, Chuncheon 24253, KoreaBackground: 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.https://www.mdpi.com/2075-4426/12/4/644artificial intelligencecomputer-aided diagnosiscapsule endoscopypolyptumorprotruded |
| spellingShingle | Hye Jin Kim Eun Jeong Gong Chang Seok Bang Jae Jun Lee Ki Tae Suk Gwang Ho Baik Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis Journal of Personalized Medicine artificial intelligence computer-aided diagnosis capsule endoscopy polyp tumor protruded |
| title | Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis |
| title_full | Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis |
| title_fullStr | Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis |
| title_full_unstemmed | Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis |
| title_short | Computer-Aided Diagnosis of Gastrointestinal Protruded Lesions Using Wireless Capsule Endoscopy: A Systematic Review and Diagnostic Test Accuracy Meta-Analysis |
| title_sort | computer aided diagnosis of gastrointestinal protruded lesions using wireless capsule endoscopy a systematic review and diagnostic test accuracy meta analysis |
| topic | artificial intelligence computer-aided diagnosis capsule endoscopy polyp tumor protruded |
| url | https://www.mdpi.com/2075-4426/12/4/644 |
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