MRI evaluation of pulmonary lesions and lung tissue changes induced by tuberculosis

Autor: Zhiqing Wu, Li Li, Liya Wang, Guanle Shen, Dehong Luo, Zhou Liu, Qingping Gu, Yuzhong Zhang, Hui Mao, Jianbing Zeng
Rok vydání: 2019
Předmět:
Zdroj: International Journal of Infectious Diseases, Vol 82, Iss, Pp 138-146 (2019)
ISSN: 1201-9712
DOI: 10.1016/j.ijid.2019.03.004
Popis: Objective: To evaluate the utility of magnetic resonance imaging (MRI) with an advanced motion correction technique in characterizing lung tissue changes and lesions induced by pulmonary tuberculosis (TB). Methods: Sixty-three subjects with computed tomography (CT) features of pulmonary TB underwent lung MRI. All subjects with pulmonary TB were confirmed by acid-fast bacillus (AFB) testing or the detection of Mycobacterium tuberculosis. T2-weighted turbo spin echo (TSE) sequence MRI with the MultiVane motion correction technique was used to image the lungs. Routine lung CT images were obtained as reference. MRI and CT images were reviewed by multiple readers independently. The performance of MRI in depicting abnormalities induced by pulmonary TB and their morphological changes were evaluated and compared with the performance of CT. Results: Lung MRI found pulmonary abnormalities in all 63 TB subjects, with satisfactory quality. With the implementation of MultiVane for T2-weighted TSE sequences to reduce the motion correction effect, MRI showed excellent agreement with CT in detecting abnormal imaging features of pulmonary TB (κ = 0.88, p 10 mm, respectively. However, MRI was less effective in identifying lesions with calcification. Conclusions: The clinical implementation of an optimized MRI protocol with the MultiVane motion correction technique for imaging pulmonary TB is feasible. Lung MRI without ionizing radiation is a promising alternative to the clinical standard CT, especially for pregnant women, children, adolescents, and patients requiring short-term and repeated follow-up observations. Keywords: Magnetic resonance imaging, Lung, Computed tomography, Pulmonary tuberculosis, Motion correction
Databáze: OpenAIRE