Literature DB >> 26628995

Special computer-aided computed tomography (CT) volume measurement and comparison method for pulmonary tuberculosis (TB).

Jingming Liu1, Zhaogang Sun1, Ruming Xie1, Mengqiu Gao1, Chuanyou Li1.   

Abstract

The computed tomography (CT) manifestations in pulmonary tuberculosis (PTB) patients are complex and could not be quantitatively evaluated. We aimed to establish a new method to objectively measure the lung injury level in PTB by thoracic CT and make quantitative comparisons. In the retrospective study, a total of 360 adults were selected and divided into four groups according to their CT manifestations and medical history: Normal group, PTB group, PTB with diabetes mellitus (DM) group and Death caused by PTB group. Five additional patients who had continuous CT scans were chosen for preliminary longitudinal analysis. We established a new computer-aided CT volume measurement and comparison method for PTB patients (CACTV-PTB) which measured lung volume (LV) and thoracic volume (TV). RLT was calculated as the ratio of LV to TV and comparisons were performed among different groups. Standardized RLT (SRLT) was used in the longitudinal analysis among different patients. In the Normal group, LV and TV were positively correlated in linear regression (Ŷ=-0.5+0.46X, R(2)=0.796, P<0.01). RLT values were significantly different among four groups (Normal: 0.40±0.05, PTB: 0.37±0.08, PTB+DM: 0.34±0.06, Death: 0.23±0.04). The curves of SRLT value from different patients shared a same start point and could be compared directly. Utilizing the novel objective method CACTV-PTB makes it possible to compare the severity and dynamic change among different PTB patients. Our early experience also suggested that the lung injury is severer in the PTB+DM group than in the PTB group.

Entities:  

Keywords:  Pulmonary tuberculosis; computer-aided computed tomography; lung volume; thoracic volume; volume measurement

Year:  2015        PMID: 26628995      PMCID: PMC4658884     

Source DB:  PubMed          Journal:  Int J Clin Exp Med        ISSN: 1940-5901


  16 in total

1.  Three-dimensional segmentation and growth-rate estimation of small pulmonary nodules in helical CT images.

Authors:  William J Kostis; Anthony P Reeves; David F Yankelevitz; Claudia I Henschke
Journal:  IEEE Trans Med Imaging       Date:  2003-10       Impact factor: 10.048

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Authors:  Yeon Joo Jeong; Kyung Soo Lee
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Review 3.  Noncalcified lung nodules: volumetric assessment with thoracic CT.

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Journal:  Radiology       Date:  2009-04       Impact factor: 11.105

Review 4.  Computer-aided diagnosis in thoracic CT.

Authors:  Qiang Li; Feng Li; Kenji Suzuki; Junji Shiraishi; Hiroyuki Abe; Roger Engelmann; Yongkang Nie; Heber MacMahon; Kunio Doi
Journal:  Semin Ultrasound CT MR       Date:  2005-10       Impact factor: 1.875

Review 5.  Lower lung field tuberculosis.

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Journal:  Chest       Date:  1974-05       Impact factor: 9.410

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Authors:  Luís Curvo-Semedo; Luísa Teixeira; Filipe Caseiro-Alves
Journal:  Eur J Radiol       Date:  2005-08       Impact factor: 3.528

7.  Expansion of pathogen-specific T-helper 1 and T-helper 17 cells in pulmonary tuberculosis with coincident type 2 diabetes mellitus.

Authors:  Nathella Pavan Kumar; Rathinam Sridhar; Vaithilingam V Banurekha; Mohideen S Jawahar; Thomas B Nutman; Subash Babu
Journal:  J Infect Dis       Date:  2013-05-28       Impact factor: 5.226

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Journal:  Am J Med       Date:  1977-01       Impact factor: 4.965

9.  Adult-onset pulmonary tuberculosis: findings on chest radiographs and CT scans.

Authors:  K S Lee; K S Song; T H Lim; P N Kim; I Y Kim; B H Lee
Journal:  AJR Am J Roentgenol       Date:  1993-04       Impact factor: 3.959

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Authors:  F P Hadlock; S K Park; R J Awe; M Rivera
Journal:  AJR Am J Roentgenol       Date:  1980-05       Impact factor: 3.959

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