Melendez, J;
Hogeweg, L;
Sánchez, CI;
Philipsen, RHHM;
Aldridge, RW;
Hayward, AC;
Abubakar, I;
... Story, A; + view all
(2018)
Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening.
International Journal of Tuberculosis and Lung Disease
, 22
(5)
pp. 567-571.
10.5588/ijtld.17.0492.
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Abstract
SETTING: Tuberculosis (TB) screening programmes can be optimised by reducing the number of chest radiographs (CXRs) requiring interpretation by human experts. OBJECTIVE: To evaluate the performance of computerised detection software in triaging CXRs in a high-throughput digital mobile TB screening programme. DESIGN: A retrospective evaluation of the software was performed on a database of 38 961 postero-anterior CXRs from unique individuals seen between 2005 and 2010, 87 of whom were diagnosed with TB. The software generated a TB likelihood score for each CXR. This score was compared with a reference standard for notified active pulmonary TB using receiver operating characteristic (ROC) curve and localisation ROC (LROC) curve analyses. RESULTS: On ROC curve analysis, software specificity was 55.71% (95%CI 55.21-56.20) and negative predictive value was 99.98% (95%CI 99.95-99.99), at a sensitivity of 95%. The area under the ROC curve was 0.90 (95%CI 0.86-0.93). Results of the LROC curve analysis were similar. CONCLUSION: The software could identify more than half of the normal images in a TB screening setting while maintaining high sensitivity, and may therefore be used for triage.
| Type: | Article |
|---|---|
| Title: | Accuracy of an automated system for tuberculosis detection on chest radiographs in high-risk screening |
| Location: | France |
| Open access status: | An open access version is available from UCL Discovery |
| DOI: | 10.5588/ijtld.17.0492 |
| Publisher version: | https://doi.org/10.5588/ijtld.17.0492 |
| Language: | English |
| Additional information: | This is an open access article distributed under the terms of the Creative Commons Attribution License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. |
| Keywords: | TB; chest radiography; computer-aided detection; computerised image analysis |
| UCL classification: | UCL UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Epidemiology and Health > Epidemiology and Public Health UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Population Health Sciences > Institute of Health Informatics |
| URI: | https://discovery.ucl.ac.uk/id/eprint/10047680 |
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