Year: 2014
Type: article
Abstract: The presence of cavitary lesions in patients with tuberculosis poses a significant clinical concern due to the risk of infectivity and the risk of antibiotic treatment failure. We describe 2 algorithms that use noninvasive positron emission tomography (PET) and computed tomography (CT) to predict the development of cavitary lesions in rabbits. Analysis of the PET region of interest predicted cavitary disease with 100% sensitivity and 76% specificity, and analysis of the CT region of interest predicted cavitary disease with 83.3% sensitivity and 76.9% specificity. Our results show that restricting our analysis to regions with high [(18)F]-fluorodeoxyglucose uptake provided the best combination of sensitivity and specificity.
Language: English
Subfield: Infectious Diseases
Field: Medicine
Domain: Health Sciences
Open Access status: bronze
Funders: Howard Hughes Medical Institute, Svenska Sällskapet för Medicinsk Forskning, Vetenskapsrådet, National Institutes of Health, U.S. Public Health Service, National Institute of General Medical Sciences, National Institute of Allergy and Infectious Diseases, National Institute of Biomedical Imaging and Bioengineering
OpenAlex ID: W2167443871