In vivo prediction of tuberculosis-associated cavity formation in rabbits

Brian Luna, André Kubler, Christer Larsson, Brent Foster, Ulas Bagci, Daniel J. Mollura, Sanjay K. Jain, William R. Bishai

Research output: Contribution to journalArticle

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 [18F]-fluorodeoxyglucose uptake provided the best combination of sensitivity and specificity.

Original languageEnglish (US)
Pages (from-to)481-485
Number of pages5
JournalJournal of Infectious Diseases
Volume211
Issue number3
DOIs
StatePublished - Feb 1 2015

Keywords

  • CT
  • PET
  • [F]-FDG
  • tuberculosis

ASJC Scopus subject areas

  • Immunology and Allergy
  • Infectious Diseases

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