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Evaluating the Accuracy of AI-powered Paediatric TB Diagnostic Pathway: A two staged study (EVAL-PAEDTBAID)

Evaluating the Accuracy of AI-powered Paediatric TB Diagnostic Pathway: A two staged study (EVAL-PAEDTBAID)

Status
Recruiting
Phases
Unknown
Study type
Interventional
Source
PACTR
Registry ID
PACTR202502517486411
Enrollment
550
Registered
2025-02-24
Start date
2025-03-01
Completion date
Unknown
Last updated
2026-09-14

For informational purposes only — not medical advice. Sourced from public registries and may not reflect the latest updates. Terms

Conditions

Tuberculosis Paediatrics

Interventions

Chest x ray classification

Sponsors

Thrasher Research Fund
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: 1. Children with signs and symptoms suggestive of PTB aged 0-14 years presenting to study sites; AND 2. Children who have undergone a digital PA/AP CXR examination as part of diagnostic workup; AND 3. Informed consent and assent (in children over 7 yrs)

Exclusion criteria

Exclusion criteria: 1. Children who are diagnosed positive for extrapulmonary TB (e.g. tuberculous meningitis) without any evidence of PTB, OR 2. Children who are currently on treatment for TB or those who have taken any treatment for TB in the 6-months prior to study site visit. In exceptions, children who have received less than three daily doses given since treatment initiation before the study site visit can be considered eligible.

Design outcomes

Primary

MeasureTime frame
Sensitivity and specificity of AI in detecting confirmed and unconfirmed paediatric PTB cases (composite reference standard)* ;Difference in AUROC of readers with and without AI in classifying a CXR as consistent with PTB or not using radiological reference standard as reference standard.;Sensitivity and specificity of AI in detecting confirmed and unconfirmed paediatric PTB cases (composite reference standard)*

Secondary

MeasureTime frame
•Sensitivity and specificity of AI in in correctly identifying PTB cases using microbiological reference standard. •AUROC of AI using microbiological and composite reference standard. •Sensitivity, Specificity and AUROC of AI stratified by subgroups - age (0-9 years, 10-14 years), sex, severity of PTB (non-severe versus severe), and by study site. •Sensitivity, specificity and AUROC of AI versus radiological reference standard; overall and by subgroups. •Agreement statistics# between radiological reference standard and AI;•Sensitivity and specificity of AI in in correctly identifying PTB cases using microbiological reference standard. •AUROC of AI using microbiological and composite reference standard. •Sensitivity, Specificity and AUROC of AI stratified by subgroups - age (0-9 years, 10-14 years), sex, severity of PTB (non-severe versus severe), and by study site. •Sensitivity, specificity and AUROC of AI versus radiological reference standard; overall and by subgroups. •Agreement statistics# between radiological reference standard and AI;•Difference in sensitivity and specificity of readers with and without AI in correctly classifying CXRs into those which are consistent with PTB or not radiological reference standard as the reference standard. •Difference in accuracy of readers with and without AI based on WHO-TDA elements. •AUROC, sensitivity and specificity of readers in detecting radiological findings relevant for paediatric PTB . •Accuracy, AUROC, sensitivity and specificity stratified by subgroups, including type and experience of readers, and severity of disease (severe/non-severe), confirmed/unconfirmed PTB.

Countries

Pakistan, South Africa

Contacts

Public ContactCynthia ;Atiqa Baard;Ambareen

Project Manager;Professor of Microbiology

cynthia.baard@uct.ac.za;atiqaambren@gmail.coim+27216585518;00923214536690

Outcome results

None listed

Source: PACTR (via WHO ICTRP) · Data processed: Sep 19, 2026