Radiographic diagnosis patterns and communicability: Analyzing TB and non-TB findings from mobile X-ray screenings in region 2, Philippines

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Research Paper 10/08/2024
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Radiographic diagnosis patterns and communicability: Analyzing TB and non-TB findings from mobile X-ray screenings in region 2, Philippines

Noelyn O. Bernal, Julius T. Capili, Angelito E. Alvarado, Jerome U. Tamayao, Arman Loui Arquilada
Int. J. Biosci.25( 2), 292-298, August 2024.
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Abstract

The aim of this study is to analyze the occurrence and trends of radiographic diagnoses, classifying them based on their communicability. The main goal is to assess the occurrence of both infectious and non-infectious disorders among patients examined using mobile X-ray devices during the 2022 active tuberculosis (TB) detection efforts in Region 2, Philippines. This initiative is financially supported by the Global Fund – Philippine Business for Social Progress. The study employs a quantitative descriptive cross-sectional approach, examining secondary data from 15,120 people that were screened. The results indicate that 81% of the radiographs were within the normal range, while 19% exhibited abnormalities, with the bulk of these abnormalities being non-pulmonary tuberculosis (PTB) findings. Non-communicable illnesses were the most common aberrant results, particularly among persons aged 60 and older. Gender analysis revealed a greater incidence of non-communicable diagnoses among females. Isabela was identified as the area with the greatest occurrence of both communicable and non-communicable diseases by spatial analysis. The study also found a notable association between PTB and other non-PTB radiographic abnormalities, such as atheromatous aorta and pneumonia. These findings indicate a pressing requirement for focused public health interventions and allocation of resources to tackle both infectious and non-infectious disorders, especially in locations with high rates of occurrence. Gaining insight into these trends helps optimize diagnostic, preventative, and therapeutic approaches, thereby enhancing public health outcomes as a whole.

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Aggarwal R, Mukhopadhyay I, George R, Alam A. 2023. Patient safety in radiology: Our experience. Medical Journal Armed Forces India 79(4), 373-377.

Anand T, Kishore J, Isaakidis P, Gupte HA, Kaur G, Kumari S, Jha D, Grover S. 2018. Integrating screening for non-communicable diseases and their risk factors in routine tuberculosis care in Delhi, India: A mixed-methods study. PloS One 13(8), e0202256.

Creswell J, Raviglione M, Ottmani S, Migliori GB, Uplekar M, Blanc L, Sotgiu G, Lönnroth K. 2010. Tuberculosis and noncommunicable diseases: neglected links and missed opportunities. European Respiratory Journal 37(5), 1269-1282.

Enos M, Sitienei J, Ong’ang’o J, Mungai B, Kamene M, Wambugu J, Kipruto H, Manduku V, Mburu J, Nyaboke D, Ngari F, Omesa E, Omale N, Mwirigi N, Okallo G, Njoroge J, Githiomi M, Mwangi M, Kirathe D, Weyenga H. 2018. Kenya tuberculosis prevalence survey 2016: Challenges and opportunities of ending TB in Kenya. PloS One 13(12), e0209098.

Flores GP, Alberto IRI, Eala MAB, Cañal JPA. 2022. The social determinants of tuberculosis in the Philippines. The Lancet Global Health 10(1), e38.

Guo R, Passi K, Jain CK. 2020. Tuberculosis diagnostics and localization in chest X-Rays via deep learning models. Frontiers in Artificial Intelligence 3.