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CTRI Number  CTRI/2025/06/088028 [Registered on: 02/06/2025] Trial Registered Prospectively
Last Modified On: 20/05/2025
Post Graduate Thesis  No 
Type of Trial  Observational 
Type of Study   Case Control Study 
Study Design  Other 
Public Title of Study   Testing the LIRA AI tool for screening TB from chest X-rays in general hospital settings  
Scientific Title of Study   Evaluation of Diagnostic Accuracy and Validation of LIRA: AI-Driven Radiological Software for Tuberculosis Screening and Other Abnormalities in Adult Chest X-Rays  
Trial Acronym  EV LIRA 
Secondary IDs if Any  
Secondary ID  Identifier 
NIL  NIL 
 
Details of Principal Investigator or overall Trial Coordinator (multi-center study)  
Name  Dr Prashanth Thankachan 
Designation  Professor 
Affiliation  St.Johns Research Institute 
Address  Room number 5, Division of Nutrition, 1st floor, St.Johns Research Institute,100 Feet Rd, John Nagar, Koramangala, Bengaluru, Karnataka 560034

Bangalore
KARNATAKA
560034
India 
Phone  08049467054  
Fax    
Email  prashanth.t@sjri.res.in  
 
Details of Contact Person
Scientific Query
 
Name  Dr Prashanth Thankachan 
Designation  Professor 
Affiliation  St.Johns Research Institute 
Address  Room number 5, Division of Nutrition, 1st floor, St.Johns Research Institute100 Feet Rd, John Nagar, Koramangala, Bengaluru, Karnataka 560034

Bangalore
KARNATAKA
560034
India 
Phone  08049467054  
Fax    
Email  prashanth.t@sjri.res.in  
 
Details of Contact Person
Public Query
 
Name  Dr Prashanth Thankachan 
Designation  Professor 
Affiliation  St.Johns Research Institute 
Address  Room number 5, Division of Nutrition, 1st floor, St.Johns Research Institute,100 Feet Rd, John Nagar, Koramangala, Bengaluru, Karnataka 560034

Bangalore
KARNATAKA
560034
India 
Phone  08049467054  
Fax    
Email  prashanth.t@sjri.res.in  
 
Source of Monetary or Material Support  
Centre For Advance Research,ICMR 
 
Primary Sponsor  
Name  Indian Council of Medical Research 
Address  Ansari Nagar, New Delhi 
Type of Sponsor  Government funding agency 
 
Details of Secondary Sponsor  
Name  Address 
NIL  NIL 
 
Countries of Recruitment     India  
Sites of Study  
No of Sites = 1  
Name of Principal Investigator  Name of Site  Site Address  Phone/Fax/Email 
Dr Prashanth T  St. Johns Research Institute   Room number 5, Division of Nutrition, 1st floor,100 Feet Rd, John Nagar, Koramangala, Bengaluru, Karnataka 560034
Bangalore
KARNATAKA 
08049467054

prashanth.t@sjri.res.in 
 
Details of Ethics Committee  
No of Ethics Committees= 1  
Name of Committee  Approval Status 
Institutional Ethics Committee, St John’s Medical College and Hospital   Approved 
 
Regulatory Clearance Status from DCGI  
Status 
Not Applicable 
 
Health Condition / Problems Studied  
Health Type  Condition 
Patients  (1) ICD-10 Condition: A150||Tuberculosis of lung,  
 
Intervention / Comparator Agent  
Type  Name  Details 
 
Inclusion Criteria  
Age From  18.00 Year(s)
Age To  60.00 Year(s)
Gender  Both 
Details  Retrospective Phase: a. Archived chest X-ray images of adult patients, aged 18 years and older , collected within the last 6 months. b. Minimum image resolution of 1440 x 1440 pixels. c. Availability of corresponding microbiological test results. d. No prior diagnosis or treatment for active TB within the past 6 months.
Prospective Phase: a. Adults aged 18 years and above presenting for chest X-rays due to suspected TB. b. Ability to comply with study procedures, including follow-up evaluations. d. No prior diagnosis or treatment for active TB within the past 6 months. 
 
ExclusionCriteria 
Details  Retrospective phase: a. Incomplete or poor-quality CXR images. b. Patients under 18 years of age. c. Absence of corresponding microbiological test results or clinical data. d. Prior diagnosis or treatment for active TB within the past 6 months. Prospective Phase: a. Pregnant or lactating individuals (due to radiation exposure). b. Patients with severe respiratory distress require immediate clinical intervention. c. Patients under 18 years of age. d. Prior diagnosis or treatment for active TB within the past 6 months. e. Inability to comply with the study protocol due to cognitive impairments or severe comorbidities. 
 
Method of Generating Random Sequence   Not Applicable 
Method of Concealment   Not Applicable 
Blinding/Masking   Not Applicable 
Primary Outcome  
Outcome  TimePoints 
This study will evaluate the diagnostic accuracy of LIRA in TB screening and detection of other chest abnormalities by comparing its sensitivity and specificity to the performance with that of expert radiologists  6 months 
 
Secondary Outcome  
Outcome  TimePoints 
This study will examine the impact of LIRA on clinical workflow efficiency, diagnostic speed, and the qualitative feedback from radiologists regarding its usability.  6 months 
 
Target Sample Size   Total Sample Size="5640"
Sample Size from India="5640" 
Final Enrollment numbers achieved (Total)= "Applicable only for Completed/Terminated trials"
Final Enrollment numbers achieved (India)="Applicable only for Completed/Terminated trials" 
Phase of Trial   N/A 
Date of First Enrollment (India)   06/06/2025 
Date of Study Completion (India) Applicable only for Completed/Terminated trials 
Date of First Enrollment (Global)  Date Missing 
Date of Study Completion (Global) Applicable only for Completed/Terminated trials 
Estimated Duration of Trial   Years="0"
Months="6"
Days="0" 
Recruitment Status of Trial (Global)   Not Applicable 
Recruitment Status of Trial (India)  Not Yet Recruiting 
Publication Details   N/A 
Individual Participant Data (IPD) Sharing Statement

Will individual participant data (IPD) be shared publicly (including data dictionaries)?  

Response - NO
Brief Summary   The purpose of this study is to evaluate the diagnostic accuracy and validate the performance of LIRA AI Tool, in detecting Pulmonary TB and other key clinical findings or abnormalities from adult chest X-rays and to compare its results with those of expert radiologists. 
The objectives of this clinical study are divided into two major group studies: 
Retrospective study: The primary objective is to assess LIRA’s sensitivity, specificity, positive predictive value, and negative predictive value in detecting tuberculosis (TB) versus the reference standard microbiological confirmation using previously collected chest X-ray data. The secondary objective is to compare LIRA’s sensitivity, specificity, positive predictive value, and negative predictive value in detecting tuberculosis (TB) versus a radiologist’s opinion using previously collected chest X-ray data. 
Prospective study: The primary objective is to evaluate LIRA’s accuracy and reliability in real-time TB detection, aiming to enhance diagnostic speed and efficiency. Page 9 of 74 CMT_LIRA_001 Version 01 The secondary objective focuses on LIRA’s impact on radiologist workflows, specifically its integration with PACS, its effect on turnaround times, and its capacity to prioritize high-risk cases in clinical and community settings. 
This is a case-control design and prospective cohort study designed to evaluate the clinical efficacy and diagnostic accuracy of LIRA, an AI-powered radiology software, in identifying abnormalities associated with tuberculosis (TB) on CXR in AP/PA views.
 
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