Authors :
Ekedigwe John Ekene; Ayara Charles Oshevire; Onubi Jeremiah; Elisha Adesegun; Adeola Oluwagbenga; Eseigbe Patricia; Amaku Chiemezie U.; Chima George.
Volume/Issue :
Volume 10 - 2025, Issue 2 - February
Google Scholar :
https://tinyurl.com/3kny6kps
Scribd :
https://tinyurl.com/y49msc94
DOI :
https://doi.org/10.5281/zenodo.14987415
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.
Keywords :
Multi-Drug-Resistant Tuberculosis (MDR-TB), Radiological Patterns, Non - HIV Patients, Thoracic Compilation.
References :
- World Health Organization. Global Tuberculosis Report 2023.
- Centers for Disease Control and Prevention. Multidrug-Resistant Tuberculosis (MDR TB) Diagnostic Guidelines.
- International Union Against Tuberculosis and Lung Disease. Clinical Management Protocols for Drug-Resistant Tuberculosis.
- Federal Ministry of Health, Nigeria. National Tuberculosis and Leprosy Control Programme Guidelines, 2021.
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.
Keywords :
Multi-Drug-Resistant Tuberculosis (MDR-TB), Radiological Patterns, Non - HIV Patients, Thoracic Compilation.