TY - JOUR
T1 - The Historical Evolution of Ocular Tuberculosis
T2 - Past, Present, and Future
AU - Betzler, Bjorn Kaijun
AU - Gunasekeran, Dinesh Visva
AU - Kempen, John
AU - Smith, Justine R.
AU - McCluskey, Peter
AU - Nguyen, Quan Dong
AU - Pavesio, Carlos
AU - Gupta, Vishali
AU - Agrawal, Rupesh
PY - 2022
Y1 - 2022
N2 - Ocular involvement is a rare manifestation of tuberculosis. Four key issues historically faced by clinicians when diagnosing and treating ocular tuberculosis–diagnostic uncertainty, naturally heterogeneous presentations, limitations of existing laboratory diagnostic tools, and non-uniform treatment guidelines–continue to test today’s physicians. Unparalleled scientific and clinical developments over the past century have greatly expanded the knowledge surrounding this challenging ophthalmic condition. Experience with large volumes of cases at tuberculosis-endemic centres has led to recent growth in knowledge and physician experience, perhaps more so in developing countries. Looking forward, the role of diverse new technologies, including artificial intelligence and proteomics, will advance ocular tuberculosis research. Efforts have been made to address the lack of standardized nomenclature, diagnostic uncertainty, and unvalidated, geographically variable treatment guidelines.
AB - Ocular involvement is a rare manifestation of tuberculosis. Four key issues historically faced by clinicians when diagnosing and treating ocular tuberculosis–diagnostic uncertainty, naturally heterogeneous presentations, limitations of existing laboratory diagnostic tools, and non-uniform treatment guidelines–continue to test today’s physicians. Unparalleled scientific and clinical developments over the past century have greatly expanded the knowledge surrounding this challenging ophthalmic condition. Experience with large volumes of cases at tuberculosis-endemic centres has led to recent growth in knowledge and physician experience, perhaps more so in developing countries. Looking forward, the role of diverse new technologies, including artificial intelligence and proteomics, will advance ocular tuberculosis research. Efforts have been made to address the lack of standardized nomenclature, diagnostic uncertainty, and unvalidated, geographically variable treatment guidelines.
KW - artificial intelligence
KW - consumption
KW - History
KW - inflammation
KW - ocular tuberculosis
KW - proteomics
KW - tuberculosis
KW - uveitis
UR - http://www.scopus.com/inward/record.url?scp=85118652680&partnerID=8YFLogxK
U2 - 10.1080/09273948.2021.1992446
DO - 10.1080/09273948.2021.1992446
M3 - Review article
AN - SCOPUS:85118652680
SN - 0927-3948
VL - 30
SP - 593
EP - 599
JO - Ocular Immunology and Inflammation
JF - Ocular Immunology and Inflammation
IS - 3
ER -