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

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...

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Detalles Bibliográficos
Autores principales: Vo, Luan Nguyen Quang, Codlin, Andrew, Ngo, Thuc Doan, Dao, Thang Phuoc, Dong, Thuy Thi Thu, Mo, Huong Thi Lan, Forse, Rachel, 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, Jacob
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2021
Materias:
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8482270/
https://www.ncbi.nlm.nih.gov/pubmed/34564547
http://dx.doi.org/10.3390/tropicalmed6030163
Descripción
Sumario: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.