Evaluating InferVision’s Computer-Aided Detection (CAD) algorithm for Tuberculosis (TB) screening, Lusaka, Zambia
Bibliographic Data
| ID | 19592828 |
|---|---|
| Authors | Paul Somwe (0009-0002-4854-0180, Centre for Infectious Disease Research in Zambia, corresponding author), Minyoi Maimbolwa, Minyoi M Maimbolwa (0000-0002-1770-0359, Centre for Infectious Disease Research in Zambia, corresponding author), Kanema Chiyenu (Centre for Infectious Disease Research in Zambia, corresponding author), Mwansa Lumpa (0009-0000-2306-6318, Centre for Infectious Disease Research in Zambia, corresponding author), Mary Kagujje (0000-0003-4818-6548, Centre for Infectious Disease Research in Zambia, corresponding author), Monde Muyoyeta (0000-0003-3609-5403, Centre for Infectious Disease Research in Zambia, corresponding author) |
| Editors | Emily B Wong |
| Year | 2025 |
| Volume | 5 |
| Issue | 6 |
| Pages | e0003955 |
| Publication date | 2025-06-18 |
| Peer Reviewed | Yes |
| Open Access | Yes |
| Type | ARTICLE |
| Venue | PLOS Global Public Health (JOURNAL) |
| Journal identifiers | ISSN: 2767-3375 • E-ISSN: 2767-3375 |
| Publisher | Public Library of Science (PLoS) (PUBLISHER) |
| DOI | 10.1371/journal.pgph.0003955 |
| PMID | 40531944 |
| OpenAlex | W4411403309 |
| Language | EN |
| References cited | 13 |
The objective of this study was to evaluate the diagnostic performance of InferRead DR Chest for tuberculosis (TB) screening in a high HIV and TB burden setting. The study assessed the performance of InferRead DR Chest using anonymized chest X-ray images from an active TB case finding study in Lusaka, Zambia, for individuals aged 15 and older. The Xpert MTB/RIF or MTB culture was the composite reference standard. Performance was evaluated using the Area Under the Receiver Operating Characteristic Curve (AUC), and a binary classification point was selected where the sensitivity aligned with the WHO target product profile for TB screening tools. Of the 1,890 chest X-ray images that met the inclusion criteria, 91.5% of participants reported at least one TB symptom. The median age was 38 years (IQR: 29–47), and 1,186 (62.8%) were male. From the study sample, 449 participants (23.8%) reported a history of previous TB, and 704 (37.2%) were HIV positive. Among the analyzed images, 289 (15.3%) were classified as TB positive based on the composite reference standard test results. The overall area under the curve (AUC) was 0.81 (95% CI: 0.78–0.83). Among individuals with a history of previous TB and those who were HIV positive, the AUCs were 0.71 (95% CI: 0.63–0.79) and 0.77 (95% CI: 0.72–0.82), respectively. At a sensitivity of 90.3% (95% CI: 86.3%–93.5%), InferRead DR Chest achieved a specificity of 39.2% (95% CI: 36.8%–41.7%) at TB score cut point of 0.12. InferRead DR Chest had acceptable performance in our population. Additional training and piloting of InferRead DR Chest in this population is recommended
Algorithm · Area under the curve · Pathology · Receiver operating characteristic · Tuberculosis · COVID-19 diagnosis using AI · Infectious Diseases and Tuberculosis · Medicine · Tuberculosis Research and Epidemiology · Immunology · Internal Medicine
| Citation velocity | historical |
|---|---|
| Highly cited | No |