Early Evaluation of an Ultra-Portable X-ray System for Tuberculosis Active Case Finding

Author:

Vo Luan Nguyen QuangORCID,Codlin Andrew,Ngo Thuc Doan,Dao Thang Phuoc,Dong Thuy Thi Thu,Mo Huong Thi Lan,Forse RachelORCID,Nguyen Thao Thanh,Cung Cong Van,Nguyen Hoa Binh,Nguyen Nhung Viet,Nguyen Van Van,Tran Ngan Thi,Nguyen Giang Hoai,Qin Zhi Zhen,Creswell JacobORCID

Abstract

X-ray screening is an important tool in tuberculosis (TB) prevention and care, but access has historically been restricted by its immobile nature. As recent advancements have improved the portability of modern X-ray systems, this study represents an early evaluation of the safety, image quality and yield of using an ultra-portable X-ray system for active case finding (ACF). We reported operational and radiological performance characteristics and compared image quality between the ultra-portable and two reference systems. Image quality was rated by three human readers and by an artificial intelligence (AI) software. We deployed the ultra-portable X-ray alongside the reference system for community-based ACF and described TB care cascades for each system. The ultra-portable system operated within advertised specifications and radiologic tolerances, except on X-ray capture capacity, which was 58% lower than the reported maximum of 100 exposures per charge. The mean image quality rating from radiologists for the ultra-portable system was significantly lower than the reference (3.71 vs. 3.99, p < 0.001). However, we detected no significant differences in TB abnormality scores using the AI software (p = 0.571), nor in any of the steps along the TB care cascade during our ACF campaign. Despite some shortcomings, ultra-portable X-ray systems have significant potential to improve case detection and equitable access to high-quality TB care.

Funder

Global Affairs Canada

Publisher

MDPI AG

Subject

Infectious Diseases,Public Health, Environmental and Occupational Health,General Immunology and Microbiology

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