Automatic versus human reading of chest X-rays in the Zambia National Tuberculosis Prevalence Survey
- PMID: 28786796
- DOI: 10.5588/ijtld.16.0851
Automatic versus human reading of chest X-rays in the Zambia National Tuberculosis Prevalence Survey
Abstract
Setting: Tuberculosis (TB) prevalence survey in Zambia between 2013 and 2014.
Objective: To compare the performance of automatic software (CAD4TB 5) in chest X-ray (CXR) reading with that of field (general practitioners) and central (radiologists) readers.
Design: A retrospective study comparing the performance of human and automatic reading was conducted. Two scenarios for central reading were evaluated: abnormalities not consistent with TB were considered to be 'normal' or 'abnormal'. Sputum culture was defined as the reference standard. Measures derived from receiver operating characteristic analysis were used to assess readers' performances.
Results: Of 46 099 participants, 23 838 cases included all survey information; of these, 106 cases were culture-confirmed TB-positive. The performance of CAD4TB 5 was similar to that of field and central readers. Although there were significant differences in specificity when compared with field readings (P = 0.002) and central readings considering the first scenario (P < 0.001), these differences were not substantial (93.2% vs. 92.6% and 98.4% vs. 99.6%, respectively).CONCLUSIONp: The performance of automatic CXR readings is comparable with that of human experts in a TB prevalence survey setting using culture as reference.
Similar articles
-
Assessment of non-tuberculosis abnormalities on digital chest x-rays with high CAD4TB scores from a tuberculosis prevalence survey in Zambia and South Africa.BMC Infect Dis. 2023 Aug 8;23(1):518. doi: 10.1186/s12879-023-08460-0. BMC Infect Dis. 2023. PMID: 37553658 Free PMC article.
-
Diagnostic accuracy of computer-aided detection of pulmonary tuberculosis in chest radiographs: a validation study from sub-Saharan Africa.PLoS One. 2014 Sep 5;9(9):e106381. doi: 10.1371/journal.pone.0106381. eCollection 2014. PLoS One. 2014. PMID: 25192172 Free PMC article.
-
Detection of tuberculosis using digital chest radiography: automated reading vs. interpretation by clinical officers.Int J Tuberc Lung Dis. 2013 Dec;17(12):1613-20. doi: 10.5588/ijtld.13.0325. Int J Tuberc Lung Dis. 2013. PMID: 24200278
-
How to identify tuberculosis cases in a prevalence survey.Int J Tuberc Lung Dis. 2008 Nov;12(11):1255-60. Int J Tuberc Lung Dis. 2008. PMID: 18926034 Review.
-
The role and performance of chest X-ray for the diagnosis of tuberculosis: a cost-effectiveness analysis in Nairobi, Kenya.BMC Infect Dis. 2005 Dec 12;5:111. doi: 10.1186/1471-2334-5-111. BMC Infect Dis. 2005. PMID: 16343340 Free PMC article.
Cited by
-
Diagnostic Accuracy of Computer-Aided Detection During Active Case Finding for Pulmonary Tuberculosis in Africa: A Systematic Review and Meta-analysis.Open Forum Infect Dis. 2024 Jan 17;11(2):ofae020. doi: 10.1093/ofid/ofae020. eCollection 2024 Feb. Open Forum Infect Dis. 2024. PMID: 38328498 Free PMC article.
-
Iterative evaluation of mobile computer-assisted digital chest x-ray screening for TB improves efficiency, yield, and outcomes in Nigeria.PLOS Glob Public Health. 2024 Jan 17;4(1):e0002018. doi: 10.1371/journal.pgph.0002018. eCollection 2024. PLOS Glob Public Health. 2024. PMID: 38232129 Free PMC article.
-
Computer-aided detection thresholds for digital chest radiography interpretation in tuberculosis diagnostic algorithms.ERJ Open Res. 2024 Jan 8;10(1):00508-2023. doi: 10.1183/23120541.00508-2023. eCollection 2024 Jan. ERJ Open Res. 2024. PMID: 38196890 Free PMC article.
-
Applicability of artificial intelligence-based computer-aided detection (AI-CAD) for pulmonary tuberculosis to community-based active case finding.Trop Med Health. 2024 Jan 2;52(1):2. doi: 10.1186/s41182-023-00560-6. Trop Med Health. 2024. PMID: 38163868 Free PMC article.
-
Artificial Intelligence-Based Software with CE Mark for Chest X-ray Interpretation: Opportunities and Challenges.Diagnostics (Basel). 2023 Jun 10;13(12):2020. doi: 10.3390/diagnostics13122020. Diagnostics (Basel). 2023. PMID: 37370915 Free PMC article. Review.
Publication types
MeSH terms
LinkOut - more resources
Full Text Sources
Other Literature Sources
Medical