AI-based System for Lung Tuberculosis Screening: Diagnostic Accuracy Evaluation

Study Results

Results pending

The study team has not published outcome measurements, participant flow, or safety data for this trial yet. Check back later for updates.

Basic Information

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Recruitment Status

UNKNOWN

Total Enrollment

308 participants

Study Classification

OBSERVATIONAL

Study Start Date

2018-02-01

Study Completion Date

2023-12-30

Brief Summary

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Testing of AI solutions to assess diagnostic accuracy for tuberculosis detection.

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Detailed Description

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Tuberculosis remains a key problem of modern medicine. New approaches for burden overcoming should be proposed. New screening strategies may include artificial intelligence (AI). An AI-based system for chest x-ray analysis and triage ("normal/tuberculosis suspected") have been developed and trained. A special data-set was prepared. There are 238 normal x-rays and 70 x-rays with lung tuberculosis in data-set. The data-set was randomly divided into 2 samples:

* sample N1 (n=140) with ratio "normal: tuberculosis" 50:50,
* sample N1 (n=150) with ratio "normal: tuberculosis" 95:5. Both samples will be analysed by AI-based system. Results will be quantified using diagnostic accuracy metrics: sensitivity and specificity, positive and negative predictor values, likelihood ratio, and area under the ROC (receiver operating characteristic) curve.

Conditions

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Tuberculosis, Pulmonary

Study Design

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Observational Model Type

OTHER

Study Time Perspective

RETROSPECTIVE

Study Groups

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Sample N1

(n=140) with ratio "normal: tuberculosis" 50:50

AI-based x-ray analysis and triage ("normal/tuberculosis suspected")

Intervention Type DIAGNOSTIC_TEST

All included x-rays will be analysed by the AI-based system. Then results will be compared with opinions of 2 experienced radiologists (they make peer-review of all included images independently of each other).

Sample N2

(n=150) with ratio "normal: tuberculosis" 95:5

AI-based x-ray analysis and triage ("normal/tuberculosis suspected")

Intervention Type DIAGNOSTIC_TEST

All included x-rays will be analysed by the AI-based system. Then results will be compared with opinions of 2 experienced radiologists (they make peer-review of all included images independently of each other).

Interventions

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AI-based x-ray analysis and triage ("normal/tuberculosis suspected")

All included x-rays will be analysed by the AI-based system. Then results will be compared with opinions of 2 experienced radiologists (they make peer-review of all included images independently of each other).

Intervention Type DIAGNOSTIC_TEST