Computer-Aided Detection for Chest Radiography to Improve the Quality of Tuberculosis Diagnosis in Vietnam’s District Health Facilities: An Implementation Study
-
Published:2023-10-29
Issue:11
Volume:8
Page:488
-
ISSN:2414-6366
-
Container-title:Tropical Medicine and Infectious Disease
-
language:en
-
Short-container-title:TropicalMed
Author:
Innes Anh L.1ORCID, Martinez Andres2, Gao Xiaoming2ORCID, Dinh Nhi2, Hoang Gia Linh3, Nguyen Thi Bich Phuong3ORCID, Vu Viet Hien3, Luu Tuan Ho Thanh3, Le Thi Thu Trang3, Lebrun Victoria3, Trieu Van Chinh3, Tran Nghi Do Bao3, Qin Zhi Zhen4, Pham Huy Minh5, Dinh Van Luong6, Nguyen Binh Hoa6, Truong Thi Thanh Huyen6, Nguyen Van Cu6, Nguyen Viet Nhung67ORCID, Mai Thu Hien3
Affiliation:
1. FHI 360 Asia Pacific Regional Office, Bangkok 10330, Thailand 2. FHI 360, Durham, NC 27701, USA 3. FHI 360 Vietnam, Hanoi 10000, Vietnam 4. Stop TB Partnership, Grand-Saconnex, 1218 Geneva, Switzerland 5. United States Agency for International Development/Vietnam, Hanoi 10000, Vietnam 6. Vietnam National Lung Hospital, Hanoi 10000, Vietnam 7. Pulmonology Department, University of Medicine and Pharmacy, Vietnam National University, Hanoi 10000, Vietnam
Abstract
In Vietnam, chest radiography (CXR) is used to refer people for GeneXpert (Xpert) testing to diagnose tuberculosis (TB), demonstrating high yield for TB but a wide range of CXR abnormality rates. In a multi-center implementation study, computer-aided detection (CAD) was integrated into facility-based TB case finding to standardize CXR interpretation. CAD integration was guided by a programmatic framework developed for routine implementation. From April through December 2022, 24,945 CXRs from TB-vulnerable populations presenting to district health facilities were evaluated. Physicians interpreted all CXRs in parallel with CAD (qXR 3.0) software, for which the selected TB threshold score was ≥0.60. At three months, there was 47.3% concordance between physician and CAD TB-presumptive CXR results, 7.8% of individuals who received CXRs were referred for Xpert testing, and 858 people diagnosed with Xpert-confirmed TB per 100,000 CXRs. This increased at nine months to 76.1% concordant physician and CAD TB-presumptive CXRs, 9.6% referred for Xpert testing, and 2112 people with Xpert-confirmed TB per 100,000 CXRs. Our programmatic CAD-CXR framework effectively supported physicians in district facilities to improve the quality of referral for diagnostic testing and increase TB detection yield. Concordance between physician and CAD CXR results improved with training and was important to optimize Xpert testing.
Funder
United States Agency for International Development FHI 360
Subject
Infectious Diseases,Public Health, Environmental and Occupational Health,General Immunology and Microbiology
Reference42 articles.
1. World Health Organization (WHO) (2022). Global Tuberculosis Report 2022. 2. The long and winding road of chest radiography for tuberculosis detection;Miller;Eur. Respir. J.,2017 3. Harris, M., Qi, A., Jeagal, L., Torabi, N., Menzies, D., Korobitsyn, A., Pai, M., Nathavitharana, R.R., and Ahmad Khan, F. (2019). A systematic review of the diagnostic accuracy of artificial intelligence-based computer programs to analyze chest x-rays for pulmonary tuberculosis. PLoS ONE, 14. 4. Singh, R., Kalra, M.K., Nitiwarangkul, C., Patti, J.A., Homayounieh, F., Padole, A., Rao, P., Putha, P., Muse, V.V., and Sharma, A. (2018). Deep learning in chest radiography: Detection of findings and presence of change. PLoS ONE, 13. 5. Computer aided detection of tuberculosis on chest radiographs: An evaluation of the CAD4TB v6 system;Murphy;Sci. Rep.,2020
Cited by
5 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献
|
|