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

doi:10.1093/infdis/jiu449

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

School of Medicine

Research output: Contribution to journal › Article › peer-review

12 Scopus citations

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 language	English (US)
Pages (from-to)	481-485
Number of pages	5
Journal	Journal of Infectious Diseases
Volume	211
Issue number	3
DOIs	https://doi.org/10.1093/infdis/jiu449
State	Published - Feb 1 2015

Keywords

CT
PET
[F]-FDG
tuberculosis

ASJC Scopus subject areas

Immunology and Allergy
Infectious Diseases

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10.1093/infdis/jiu449

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title = "In vivo prediction of tuberculosis-associated cavity formation in rabbits",

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.",

keywords = "CT, PET, [F]-FDG, tuberculosis",

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AU - Luna, Brian

AU - Kubler, André

AU - Larsson, Christer

AU - Foster, Brent

AU - Bagci, Ulas

AU - Mollura, Daniel J.

AU - Jain, Sanjay K.

AU - Bishai, William R.

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AB - 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.

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KW - PET

KW - [F]-FDG

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In vivo prediction of tuberculosis-associated cavity formation in rabbits

Abstract

Keywords

ASJC Scopus subject areas

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