Tuberculosis: Important lessons from AOCR 2023, Bangkok, Thailand
DOI:
https://doi.org/10.46475/asean-jr.v24i2.871Keywords:
Asian Symposia, Deep learning, Digital tomosynthesis, Epidemiology, Imaging, Low-dose computed tomography, Lung screening, MRI, National TB Eradication Program (NTEP), South-East Asia, Tracheobronchial stenosis, The International Union Against Tuberculosis and Lung Disease, Tuberculosis, UltrasoundAbstract
The Asian Symposia at the AOCR 2023 discussed the situation and role of radiology in tuberculosis. The scientific committee of the Asian Oceanian Congress of Radiology (AOCR) established the Asian Symposia in order to discuss important and relevant health topics with participating Asian radiological societies. At the AOCR 2023 Asian Symposia I: Situation and Imaging Innovation in Tuberculosis, different views, initiatives, and ideas were presented by representatives from various societies.
Downloads
Metrics
References
Clinical Practice Guidelines: Management of Tuberculosis. 4th edition, 2021.
Pulmonary Tuberculosis: Role of Radiology in Diagnosis and Management. AC. Nachiappan, K Rahbar, X Shi et al. RadioGraphics 2017 37:1, 52-72
Tuberculous tracheobronchial stenosis: avoiding resection—when less is more. Khvilivitzky K, Trivedi PN, McFadden M. J Thorac Dis 2017;9(9):E779-E782
Endobronchial tuberculosis: an overview. Neki NS. Ann. Pak. Inst. Med. Sci. 2013; 9(3): 105-109
https://www.who.int/teams/global-tuberculosis-programme/tb-reports/global-tuberculosis-report-2022
https://tbcindia.gov.in/WriteReadData/IndiaTBReport2022/TBAnnaulReport2022.pdf
https://www.who.int/teams/global-tuberculosis-programme/tb-reports/global-tuberculosis-report-2022
Bosch-Marcet J, Serres-Créixams X, Borrás-Pérez V, Coll-Sibina MT, Guitet-Juliá M, Coll-Rosell E. Value of sonography for follow-up of mediastinal lymphadenopathy in children with tuberculosis. J Clin Ultrasound. 2007 ;35(3):118-24
Sodhi KS, Khandelwal N, Saxena AK, Singh M, Agarwal R, Bhatia A, Lee EY. Rapid lung MRI in children with pulmonary infections: Time to change our diagnostic algorithms. J Magn Reson Imaging. 2016 ;43(5):1196-206.
Qin ZZ, Ahmed S, Sarker MS, Paul K, Adel ASS, Naheyan T, Barrett R, Banu S, Creswell J. Tuberculosis detection from chest x-rays for triaging in a high tuberculosis-burden setting: an evaluation of five artificial intelligence algorithms. Lancet Digit Health. 2021;3(9):e543-e554.
World Health Organization. WHO operational handbook on tuberculosis. Module 1: prevention . tuberculosis preventive treatment. Geneva, World Health Organization, 2020.
Migliori GB, Ong CWM, Petrone L, D'Ambrosio L, Centis R, Goletti D. The definition of tuberculosis infection based on the spectrum of tuberculosis disease. Breathe. 2021; 17:210079.
Sharma M, Sandhu MS, Gorsi U, Gupta D, Khandelwal N. Role of digital tomosynthesis and dual energy subtraction digital radiography in detection of parenchymal lesions in active pulmonary tuberculosis. Eur J Radiol. 2015; 84:1820-7
J Mok, JA Yeom, SW Nam, JM Yoo, JY Lee, G Lee, et al. Role of digital tomosynthesis in the context of tuberculosis contact investigation: comparisons with digital radiography. Acta Radiol. 2022; 63:901-8
S Lee, J Lim, N Kwak, YJ Lee, J Lee, JY Lee, et al. Deep learning to determine the activity of pulmonary tuberculosis on chest radiographs. Radiology. 2021; 301:435-42
Downloads
Published
How to Cite
Issue
Section
License
Copyright (c) 2023 The ASEAN Journal of Radiology
This work is licensed under a Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International License.
Disclosure Forms and Copyright Agreements
All authors listed on the manuscript must complete both the electronic copyright agreement. (in the case of acceptance)