Pulmonary tuberculosis Tuberculosis, active case finding, ultra-portable X-ray device, artificial intelligence
Conditions
Interventions
Participants underwent CXR twice with the digital X ray machine and once with ultraportable X ray device
Ultra-portable X-ray device
Sponsors
Navamindradhiraj University
Eligibility
Sex/Gender
All
Age
18 Years to 99 Years
Inclusion criteria
Inclusion criteria: any patients aged 18-99 years who are suspicious for pulmonary TB using symptom-screening rule 2 out of 3 symptoms 1. cough lasting more than two weeks 2. hemoptysis 3. fever accompanied by weight loss within the past two weeks
Exclusion criteria
Exclusion criteria: 1. pregnant women or women with missed menstrual period 2. severely ill 3. patient with any spinal deformity making them unable to stand 4. declined to participate
Design outcomes
Primary
| Measure | Time frame |
|---|---|
| To evaluate the diagnostic accuracy of ultra-portable X-ray devices with AI interpretation compared to digital X-ray machine with radiologist 2 months Pulmonary TB or not | — |
Secondary
| Measure | Time frame |
|---|---|
| The optimal threshold of TB Screening Score computed by AI at the beginning of study 0-100 percent,The association between descriptive data and bacteriologically positive case for TB at the beginning of study Radiographic findings: cavity, nodule(s), consolidation, effusion, fibroreticulation | — |
Countries
Thailand
Contacts
Public ContactPipu Tavornshevin
Faculty of Medicine Vajira Hospital, Navamindradhiraj University
Outcome results
None listed