Literature DB >> 26259700

The relation between CT findings and sputum microbiology studies in active pulmonary tuberculosis.

Jeong Min Ko1, Hyun Jin Park2, Chi Hong Kim3, Sun Wha Song1.   

Abstract

PURPOSE: To evaluate whether CT findings suggesting active pulmonary tuberculosis correlate with sputum microbiological studies, and to determine whether CT could predict infectivity.
MATERIALS AND METHODS: Total 108 patients with active pulmonary tuberculosis were enrolled. We reviewed CT findings and sputum microbiological studies. Then, we analyzed the statistical difference in CT findings between the positive and negative groups of each sputum microbiological study (AFB smear, PCR, and culture). Also, we divided the patients into five groups according to sputum AFB smear grade and analyzed linear trends of CT findings between the five groups.
RESULTS: Both frequencies and extents of centrilobular micronodules (63% vs 38%, p=0.011 for frequency; 1.6 ± 1.6 vs 0.6 ± 1.1, p=0.001 for extent), tree-in-bud opacities (63% vs 33%, p=0.002; 1.6 ± 1.6 vs 0.5 ± 0.9, p<0.001, respectively), consolidation (98% vs 81%, p=0.003; 2.7 ± 1.5 vs 1.3 ± 1.1, p<0.001, respectively), and cavitation (86% vs 33%, p<0.001; 1.5 ± 1.2 vs 0.4 ± 0.7, p<0.001, respectively), were significantly increased in the sputum AFB-positive group than in the negative group. These four CT findings were increase in frequency and extent in the sputum PCR-positive group with or without statistical significance. They did not show significant differences between the sputum culture-positive and negative groups. As the AFB smear grade increased, frequencies and extents of centrilobular micronodules, tree-in-bud, consolidation, and cavitation also increased.
CONCLUSION: CT features representing active tuberculosis-centrilobular nodules, tree-in-bud, consolidation, and, cavitation-strongly correlate with the positivity and grading of AFB smear.
Copyright © 2015 Elsevier Ireland Ltd. All rights reserved.

Entities:  

Keywords:  Infectivity; Lung; Multidetector computed tomography; Sputum; Tuberculosis

Mesh:

Year:  2015        PMID: 26259700     DOI: 10.1016/j.ejrad.2015.07.032

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  8 in total

Review 1.  Pathology and immune reactivity: understanding multidimensionality in pulmonary tuberculosis.

Authors:  Anca Dorhoi; Stefan H E Kaufmann
Journal:  Semin Immunopathol       Date:  2015-10-05       Impact factor: 9.623

2.  Characterization of a novel panel of plasma microRNAs that discriminates between Mycobacterium tuberculosis infection and healthy individuals.

Authors:  Jia-Yi Cui; Hong-Wei Liang; Xin-Ling Pan; Di Li; Na Jiao; Yan-Hong Liu; Jin Fu; Xiao-Yu He; Gao-Xiang Sun; Chun-Lei Zhang; Chi-Hao Zhao; Dong-Hai Li; En-Yu Dai; Ke Zen; Feng-Min Zhang; Chen-Yu Zhang; Xi Chen; Hong Ling
Journal:  PLoS One       Date:  2017-09-14       Impact factor: 3.240

3.  Primary multidrug-resistant tuberculosis versus drug-sensitive tuberculosis in non-HIV-infected patients: Comparisons of CT findings.

Authors:  Duo Li; Wei He; Budong Chen; Pingxin Lv
Journal:  PLoS One       Date:  2017-06-06       Impact factor: 3.240

4.  Outcome of untreated lung nodules with histological but no microbiological evidence of tuberculosis.

Authors:  Che-Liang Chung; Yen-Fu Chen; Yen-Ting Lin; Jann-Yuan Wang; Shuenn-Wen Kuo; Jin-Shing Chen
Journal:  BMC Infect Dis       Date:  2018-10-23       Impact factor: 3.090

5.  Clinical characteristics and chest computed tomography findings of smear-positive and smear-negative pulmonary tuberculosis in hospitalized adult patients.

Authors:  Jong Hun Kim; Min Ja Kim; Soo-Youn Ham
Journal:  Medicine (Baltimore)       Date:  2019-08       Impact factor: 1.817

Review 6.  Active pulmonary tuberculosis: something old, something new, something borrowed, something blue.

Authors:  Maria T A Wetscherek; Timothy J Sadler; Janice Y J Lee; Sumit Karia; Judith L Babar
Journal:  Insights Imaging       Date:  2022-01-09

7.  Machine learning and radiomics for the prediction of multidrug resistance in cavitary pulmonary tuberculosis: a multicentre study.

Authors:  Ye Li; Bing Wang; Limin Wen; Hengxing Li; Fang He; Jian Wu; Shan Gao; Dailun Hou
Journal:  Eur Radiol       Date:  2022-07-19       Impact factor: 7.034

8.  The Atypical Manifestation of Pulmonary Tuberculosis in Patients with Bronchial Anthracofibrosis.

Authors:  Min Kyung Jung; Sang Young Lee; Jeong Min Ko
Journal:  J Clin Med       Date:  2022-09-25       Impact factor: 4.964

  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.