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A structural and metabolic framework for classifying pre-clinical tuberculosis infection phenotypes using 18F-FDG PET-CT: a prospective cohort analysis following M. tuberculosis exposure
Thorax ( IF 9.0 ) Pub Date : 2024-12-01 , DOI: 10.1136/thorax-2024-221470
Jee Whang Kim , Sonam Vadera , Meedya Sharifpour , Amrita Bajaj , Anver Kamil , Pranabashis Haldar

Tuberculosis (TB) control efforts are limited by ineffective characterisation of tuberculosis infection (TBI) —a heterogeneous spectrum of pre-clinical infection states, invisible to tools of routine clinical screening, that are associated with variable risk of progression to TB disease. In this prospective study, we use positron emission tomography-CT (PET-CT) as a high-resolution imaging modality to characterise and classify structural and metabolic features observed in 16 asymptomatic household TB contacts with normal chest radiographs. We identify four feature patterns that associate with distinct clinical and microbiological outcomes, supporting potential utility of PET-CT for objective classification of TBI phenotypes.

中文翻译:


使用 18F-FDG PET-CT 对临床前结核病感染表型进行分类的结构和代谢框架:结核分枝杆菌暴露后的前瞻性队列分析



结核病 (TBI) 控制工作受到结核病感染 (TBI) 特征分析无效的限制,结核病感染 (TBI) 是临床前感染状态的异质性谱系,常规临床筛查工具无法识别,与进展为结核病的不同风险相关。在这项前瞻性研究中,我们使用正电子发射断层扫描-CT (PET-CT) 作为高分辨率成像方式来表征和分类在 16 例胸片正常的无症状家庭结核病接触者中观察到的结构和代谢特征。我们确定了与不同的临床和微生物学结果相关的四种特征模式,支持 PET-CT 在 TBI 表型客观分类中的潜在效用。
更新日期:2024-11-14
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