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AI-powered lung ultrasound for TB in Africa

Diagnostic performance of computer-aided lung ultrasound for facility-based screening of pulmonary tuberculosis in Benin, Mali and South Africa: A multicentre prospective cohort study

Status
Active, not recruiting
Phases
Unknown
Study type
Interventional
Source
PACTR
Registry ID
PACTR202603571971533
Enrollment
1500
Registered
2026-03-24
Start date
2026-08-31
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

HIV/AIDS Tuberculosis

Interventions

Observation lung ultrasound

Sponsors

EPFL Technical University of Lausanne
Lead Sponsor

Eligibility

Sex/Gender
All

Inclusion criteria

Inclusion criteria: General criteria Age = 12 years Presentation to a participating outpatient healthcare facility for any reason of care TB screening criteria (at least one required) Presumed TB, defined as the presence of = 1 TB-related symptom: • cough of any duration • fever • night sweats • weight loss and/or = 1 TB risk factor according to TUTT criteria: • HIV infection • TB contact (self-reported household or workplace contact within the previous 12 months) • prior TB (self-reported diagnosis within the previous 2 years)

Exclusion criteria

Exclusion criteria: Absence or withdrawal of informed consent: • for participants = 18 years: Inability or refusal to provide written informed consent • for participants aged 12-17 years: o Inability or refusal of a parent/legal guardian to provide written informed consent; and/or o Inability or refusal of the participant to provide written informed assent, where required by local ethics regulations Ongoing TB curative treatment Clinician decision due to poor general condition or requirement for immediate critical care Inability to cooperate with ultrasound procedure

Design outcomes

Primary

MeasureTime frame
Primary objective 1.1 Diagnostic accuracy of CAD-LUS for the detection of pulmonary TB using AI-aided interpretation against the primary microbiological reference standard (MRS) Primary endpoint and measures 1.1.1 Pulmonary TB as a binary outcome defined by the primary microbiological reference standard 1.1.2. CAD-LUS score of the acquisition protocol used into the continuation phase, dichotomized at relevant thresholds, with accuracy against the MRS expressed as sensitivity (score dichotomized at the 70% specificity threshold), specificity (score dichotomized at the 90% sensitivity threshold) and AUROC

Secondary

MeasureTime frame
Interim objective 0.1 Direct comparison of diagnostic accuracy of CAD-LUS on still images vs. blind sweep videos for detection of pulmonary TB as defined by the primary MRS Interim endpoint and measures 0.1.1 as 1.1.1 for the subgroup enrolled in blind sweep validation phase 0.1.2 CAD-LUS score generated on still images generated as part of the standardised 14-point LUS protocol, and dichotomized at relevant threshold as defined in 1.1.2 0.1.3 CAD-LUS score generated on videos generated as part of the blind sweep LUS protocol, and dichotomized at relevant threshold as defined in 1.1.2 ;Secondary objective 2.1 Diagnostic accuracy of CAD-LUS for the detection of pulmonary TB using AI-aided interpretation against the extended MRS Endpoints and measures 2.1.1 Pulmonary TB as a binary outcome defined by the extended MRS 2.1.2 as 1.1.2, dichotomized and with accuracy against the extended MRS.;Secondary objective 2.2 Diagnostic accuracy of CAD-LUS for the detection of pulmonary TB using AI-aided interpretation against the composite reference standard (CRS) Endpoints and measures 2.2.1 Pulmonary TB as a binary outcome defined by the CRS 2.2.2 As 1.1.2, dichotomized and with accuracy against the CRS;Secondary objective 2.2 Diagnostic accuracy of CAD-LUS for the detection of pulmonary TB using AI-aided interpretation against the composite reference standard (CRS) Endpoints and measures 2.2.1 Pulmonary TB as a binary outcome defined by the CRS 2.2.2 As 1.1.2, dichotomized and with accuracy against the CRS. ;Secondary objective 2.3 Direct comparison of diagnostic accuracy of CAD-LUS vs. CAD-CXR for detection of pulmonary TB as defined by the primary and the extended MRS Endpoints and measures 2.3.1 Pulmonary TB defined by i) primary MRS (endpoint 1.1.1) and ii) eMRS (endpoint 2.1.1) 2.3.2 as 1.1.2 and 2.1.2 2.3.3 Sensitivity, specificity and AUROC of CAD-CXR, similarly measured as a score, and dichotomized at the 70% specificity (for sensitivity) and 90% sensitivity (for spec

Countries

Benin, Mali, South Africa

Contacts

Public ContactKhadidia Ouattara

Prof in pneumology

zankhadi@gmail.com+22366780357

Outcome results

None listed

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