Literature DB >> 10862062

MR imaging of solitary pulmonary lesion: emphasis on tuberculomas and comparison with tumors.

M H Chung1, H G Lee, S S Kwon, S H Park.   

Abstract

The aim of this study was to determine whether solitary pulmonary tuberculoma and malignant tumor can be differentiated on the basis of magnetic resonance (MR) signal intensity. Twenty-eight patients with solitary pulmonary lesions were prospectively studied with MR imaging: T1-weighted, enhanced T1-weighted, proton density-weighted, and T2-weighted spin echo images were obtained. The confirmation methods used were computed tomography (CT)-guided biopsy in seven patients with lung cancer and four patients with tuberculosis; surgery in ten patients with lung cancer and five patients with tuberculosis; and laboratory data in two patients with tuberculosis. Morphologic features and MR signal intensity were examined in detail. As the test for detection of tuberculoma, signal difference on T2-weighted images was carefully analyzed. The signal intensity ratio of the nodule to thoracic muscle signal intensity was measured. The signal intensities obtained from the lung cancers and tuberculomas were variable on pre-and post-enhanced T1-weighted images and proton density-weighted images. Masses were hypointense in 2 of 17 patients with lung cancer and in 9 of 11 patients with tuberculoma on T2-weighted images (sensitivity 82%, specificity 89%, accuracy 87%). The mean signal intensity ratios of the tuberculomas to muscle were significantly lower than those of malignant tumors on T1-weighted, enhanced T1-weighted, proton density-weighted, and T2-weighted images (P < 0.0001). After gadolinium-DTPA enhancement, 2 malignant tumors and 7 tuberculomas showed a marginal rim enhancement pattern, whereas 15 malignant tumors and 2 tuberculomas revealed a diffuse enhancement. The results of MR imaging were consistent with those of CT in 84% of the patients. MR imaging is a helpful adjunctive method in terms of differentiating a tuberculoma from a malignant tumor. Copyright 2000 Wiley-Liss, Inc.

Entities:  

Mesh:

Year:  2000        PMID: 10862062     DOI: 10.1002/1522-2586(200006)11:6<629::aid-jmri9>3.0.co;2-r

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  8 in total

Review 1.  Recent technological and application developments in computed tomography and magnetic resonance imaging for improved pulmonary nodule detection and lung cancer staging.

Authors:  Jessica C Sieren; Yoshiharu Ohno; Hisanobu Koyama; Kazuro Sugimura; Geoffrey McLennan
Journal:  J Magn Reson Imaging       Date:  2010-12       Impact factor: 4.813

2.  MRI of the lung (2/3). Why … when … how?

Authors:  J Biederer; M Beer; W Hirsch; J Wild; M Fabel; M Puderbach; E J R Van Beek
Journal:  Insights Imaging       Date:  2012-02-13

3.  Multiparametric Magnetic Resonance Imaging Characteristics of Prostate Tuberculosis.

Authors:  Yue Cheng; Lixiang Huang; Xiaodong Zhang; Qian Ji; Wen Shen
Journal:  Korean J Radiol       Date:  2015-07-01       Impact factor: 3.500

Review 4.  Molecular Imaging of Pulmonary Inflammation and Infection.

Authors:  Chiara Giraudo; Laura Evangelista; Anna Sara Fraia; Amalia Lupi; Emilio Quaia; Diego Cecchin; Massimiliano Casali
Journal:  Int J Mol Sci       Date:  2020-01-30       Impact factor: 5.923

5.  Conventional MRI to detect the differences between mass-like tuberculosis and lung cancer.

Authors:  Li-Ping Qi; Ke-Neng Chen; Xiaohong Joe Zhou; Lei Tang; Yu-Liang Liu; Xiao-Ting Li; Juan Wang; Ying-Shi Sun
Journal:  J Thorac Dis       Date:  2018-10       Impact factor: 2.895

6.  Giant Cell Tumors of the Bone: Changes in Image Features after Denosumab Administration.

Authors:  Sota Oguro; Shigeo Okuda; Hiroaki Sugiura; Shunsuke Matsumoto; Aya Sasaki; Michiro Susa; Hideo Morioka; Masahiro Jinzaki
Journal:  Magn Reson Med Sci       Date:  2018-02-01       Impact factor: 2.471

7.  Differentiation of breast tuberculosis and breast cancer using diffusion-weighted, T2-weighted and dynamic contrast-enhanced magnetic resonance imaging.

Authors:  Dibuseng P Ramaema; Richard J Hift
Journal:  SA J Radiol       Date:  2018-10-25

Review 8.  Differential diagnosis of uncommon prostate diseases: combining mpMRI and clinical information.

Authors:  Chao Han; Lina Zhu; Xiang Liu; Shuai Ma; Yi Liu; Xiaoying Wang
Journal:  Insights Imaging       Date:  2021-06-16
  8 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.