Standardized Screening Template for Multi-Drug Resistant Tuberculosis: A Comprehensive Diagnostic Approach to Early Detection and Management

Multi-drug resistant tuberculosis (MDR-TB) remains a critical global health challenge, particularly in regions with limited healthcare resources. This study presents a novel, standardized screening template designed to improve the early detection, classification, and management of MDR-TB through a comprehensive, user-friendly diagnostic approach. The proposed framework integrates patient demographic data, systematic chest X-ray analysis, and drug resistance classification to enhance diagnostic precision and clinical decision-making. Preliminary evaluations suggest that this template offers significant potential for improving early MDR-TB detection, supporting global reporting, and enabling targeted interventions. Furthermore, the template’s adaptability for digital conversion ensures relevance in both manual and technologically advanced settings, laying the groundwork for enhanced epidemiological tracking and public health interventions.

Publication Details

Journal
Zenodo (CERN European Organization for Nuclear Research)
Published
2025-03-11
DOI
https://doi.org/10.5281/zenodo.14987415
Primary Topic
Tuberculosis Research and Epidemiology
Type
article
Field-Weighted Citation Impact
0.00
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article

Standardized Screening Template for Multi-Drug Resistant Tuberculosis: A Comprehensive Diagnostic Approach to Early Detection and Management

Zenodo (CERN European Organization for Nuclear Research)
Tuberculosis Research and Epidemiology
article

Standardized Screening Template for Multi-Drug Resistant Tuberculosis: A Comprehensive Diagnostic Approach to Early Detection and Management

article en

Abstract

Multi-drug resistant tuberculosis (MDR-TB) remains a critical global health challenge, particularly in regions with limited healthcare resources. This study presents a novel, standardized screening template designed to improve the early detection, classification, and management of MDR-TB through a comprehensive, user-friendly diagnostic approach. The proposed framework integrates patient demographic data, systematic chest X-ray analysis, and drug resistance classification to enhance diagnostic precision and clinical decision-making. Preliminary evaluations suggest that this template offers significant potential for improving early MDR-TB detection, supporting global reporting, and enabling targeted interventions. Furthermore, the template’s adaptability for digital conversion ensures relevance in both manual and technologically advanced settings, laying the groundwork for enhanced epidemiological tracking and public health interventions.

Zenodo (CERN European Organization for Nuclear Research)
Good health and well-being
Openalex Percentile: Top 51%
Tuberculosis Research and Epidemiology
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