A high resolution computer tomography scoring system to predict culture-positive pulmonary tuberculosis in the emergency department.

This study evaluated the use of high-resolution computed tomography (HRCT) to predict the presence of culture-positive pulmonary tuberculosis (PTB) in adult patients with pulmonary lesions in the emergency department (ED). The study included a derivation phase and validation phase with a total of 8,...

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Main Authors: Jun-Jun Yeh, Choo-Aun Neoh, Cheng-Ren Chen, Christine Yi-Ting Chou, Ming-Ting Wu
Format: Article
Language:English
Published: Public Library of Science (PLoS) 2014-01-01
Series:PLoS ONE
Online Access:http://europepmc.org/articles/PMC3984117?pdf=render
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author Jun-Jun Yeh
Choo-Aun Neoh
Cheng-Ren Chen
Christine Yi-Ting Chou
Ming-Ting Wu
author_facet Jun-Jun Yeh
Choo-Aun Neoh
Cheng-Ren Chen
Christine Yi-Ting Chou
Ming-Ting Wu
author_sort Jun-Jun Yeh
collection DOAJ
description This study evaluated the use of high-resolution computed tomography (HRCT) to predict the presence of culture-positive pulmonary tuberculosis (PTB) in adult patients with pulmonary lesions in the emergency department (ED). The study included a derivation phase and validation phase with a total of 8,245 patients with pulmonary disease. There were 132 patients with culture-positive PTB in the derivation phase and 147 patients with culture-positive PTB in the validation phase. Imaging evaluation of pulmonary lesions included morphology and segmental distribution. The post-test probability ratios between both phases in three prevalence areas were analyzed. In the derivation phase, a multivariate analysis model identified cavitation, consolidation, and clusters/nodules in right or left upper lobe (except anterior segment) and consolidation of the superior segment of the right or left lower lobe as independent positive factors for culture-positive PTB, while consolidation of the right or left lower lobe (except superior segment) were independent negative factors. An ideal cutoff point based on the receiver operating characteristic (ROC) curve analysis was obtained at a score of 1. The sensitivity, specificity, positivity predictive value, and negative predictive value from derivation phase were 98.5% (130/132), 99.7% (3997/4008), 92.2% (130/141), and 99.9% (3997/3999). Based on the predicted positive likelihood ratio value of 328.33 in derivation phase, the post-test probability was observed to be 91.5% in the derivation phase, 92.5% in the validation phase, 94.5% in a high TB prevalence area, 91.0% in a moderate prevalence area, and 76.8% in moderate-to-low prevalence area. Our model using HRCT, which is feasible to perform in the ED, can promptly diagnose culture-positive PTB in moderate and moderate-to-low prevalence areas.
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spelling doaj.art-df9b91a001fa410bb53139220f4e56812022-12-21T23:23:11ZengPublic Library of Science (PLoS)PLoS ONE1932-62032014-01-0194e9384710.1371/journal.pone.0093847A high resolution computer tomography scoring system to predict culture-positive pulmonary tuberculosis in the emergency department.Jun-Jun YehChoo-Aun NeohCheng-Ren ChenChristine Yi-Ting ChouMing-Ting WuThis study evaluated the use of high-resolution computed tomography (HRCT) to predict the presence of culture-positive pulmonary tuberculosis (PTB) in adult patients with pulmonary lesions in the emergency department (ED). The study included a derivation phase and validation phase with a total of 8,245 patients with pulmonary disease. There were 132 patients with culture-positive PTB in the derivation phase and 147 patients with culture-positive PTB in the validation phase. Imaging evaluation of pulmonary lesions included morphology and segmental distribution. The post-test probability ratios between both phases in three prevalence areas were analyzed. In the derivation phase, a multivariate analysis model identified cavitation, consolidation, and clusters/nodules in right or left upper lobe (except anterior segment) and consolidation of the superior segment of the right or left lower lobe as independent positive factors for culture-positive PTB, while consolidation of the right or left lower lobe (except superior segment) were independent negative factors. An ideal cutoff point based on the receiver operating characteristic (ROC) curve analysis was obtained at a score of 1. The sensitivity, specificity, positivity predictive value, and negative predictive value from derivation phase were 98.5% (130/132), 99.7% (3997/4008), 92.2% (130/141), and 99.9% (3997/3999). Based on the predicted positive likelihood ratio value of 328.33 in derivation phase, the post-test probability was observed to be 91.5% in the derivation phase, 92.5% in the validation phase, 94.5% in a high TB prevalence area, 91.0% in a moderate prevalence area, and 76.8% in moderate-to-low prevalence area. Our model using HRCT, which is feasible to perform in the ED, can promptly diagnose culture-positive PTB in moderate and moderate-to-low prevalence areas.http://europepmc.org/articles/PMC3984117?pdf=render
spellingShingle Jun-Jun Yeh
Choo-Aun Neoh
Cheng-Ren Chen
Christine Yi-Ting Chou
Ming-Ting Wu
A high resolution computer tomography scoring system to predict culture-positive pulmonary tuberculosis in the emergency department.
PLoS ONE
title A high resolution computer tomography scoring system to predict culture-positive pulmonary tuberculosis in the emergency department.
title_full A high resolution computer tomography scoring system to predict culture-positive pulmonary tuberculosis in the emergency department.
title_fullStr A high resolution computer tomography scoring system to predict culture-positive pulmonary tuberculosis in the emergency department.
title_full_unstemmed A high resolution computer tomography scoring system to predict culture-positive pulmonary tuberculosis in the emergency department.
title_short A high resolution computer tomography scoring system to predict culture-positive pulmonary tuberculosis in the emergency department.
title_sort high resolution computer tomography scoring system to predict culture positive pulmonary tuberculosis in the emergency department
url http://europepmc.org/articles/PMC3984117?pdf=render
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