Automated chest X-ray reading for tuberculosis in the Philippines to improve case detection: a cohort study
OBJECTIVE: To evaluate the performance of TB detection based on computerised chest radiography (CXR) readings.
DESIGN: Data from 14 094 subjects were analysed from September 2012 to June 2014. All CXRs were read by a physician and by software. Individuals with TB symptoms or CXR abnormalities according to the physician underwent Xpert® MTB/RIF testing, the remaining persons were considered TB-negative (screening reference). A subset of 200 CXRs was read by an independent human reader (radiological reference). This reader also re-read a subset of the most abnormal cases as identified using the software but read as normal by the physician (discordant cases).
RESULTS: A total of 10 755 individuals were included in the analysis, 2534 of whom had a positively assessed CXR; 298 cases were Xpert-positive. Using the screening reference, the area under the receiver operating characteristic curve for software readings was 0.93 (95%CI 0.92–0.94), with a sensitivity of 0.98 (95%CI 0.97–0.99) and a specificity of 0.69 (95%CI 0.40–0.98). Based on the radiological reference, the physician performed slightly worse than the software (sensitivity, 0.82, 95%CI 0.74–0.89 and specificity, 0.87, 95%CI 0.81–0.96 vs. sensitivity, 0.83, 95%CI 0.71–0.93 and specificity, 0.87, 95%CI 0.75–0.95), although this was not statistically significant. Of the 291 discordant cases, 70% were assessed as positive, resulting in a 22% increase in TB detection when extrapolated to the full cohort.
CONCLUSION: The performance of automated CXR reading is comparable to that of the attending physicians in DetecTB, and its use as a second reader could increase TB detection.
Document Type: Research Article
Affiliations: 1: Diagnostic Image Analysis Group, Radboud University Medical Center, Nijmegen, The Netherlands 2: World Health Organization Representative Office in Mongolia, Ulaanbaatar, Mongolia
Publication date: July 1, 2019
The International Journal of Tuberculosis and Lung Disease (IJTLD) is for clinical research and epidemiological studies on lung health, including articles on TB, TB-HIV and respiratory diseases such as COVID-19, asthma, COPD, child lung health and the hazards of tobacco and air pollution. Individuals and institutes can subscribe to the IJTLD online or in print – simply email us at [email protected] for details.
The IJTLD is dedicated to understanding lung disease and to the dissemination of knowledge leading to better lung health. To allow us to share scientific research as rapidly as possible, the IJTLD is fast-tracking the publication of certain articles as preprints prior to their publication. Read fast-track articles.
- Editorial Board
- Information for Authors
- Subscribe to this Title
- International Journal of Tuberculosis and Lung Disease
- Public Health Action
- Ingenta Connect is not responsible for the content or availability of external websites
- Access Key
- Free content
- Partial Free content
- New content
- Open access content
- Partial Open access content
- Subscribed content
- Partial Subscribed content
- Free trial content