Correlation between computed tomographic and 3T magnetic resonance imaging findings of parenchymal lung diseases

doi:10.19871/j.cnki.xfcrbzz.2021.01.011

Abstract

Abstract: Objective To optimize the pulmonary 3T magnetic resonance sequences and evaluate the diagnostic performance of parenchymal lung diseases. Methods 178 patients underwent chest 3T-MRI including star-volumetric interpolated breath-hold(Star-VIBE), VIBE, fast BLADE turbo spin echo(fBLADE TSE) and three-dimension sampling perfection with application optimized contrasts using different flip angle evolution(3D-SPACE). Image quality and detection rate of four sequences from random 60 patients were compared. And CT as reference was used for evaluation of detection. Results SNR of Star-VIBE was statistically higher than VIBE. Comparisons of CNR and 5-point scores had no difference. SNR and 5-point scores of fBLADE TSE was statistically higher than 3D-SPACE. The CNR of fBLADE TSE was lower than 3D-SPACE. Detection rate between Star-VIBE and VIBE, fBLADE TSE and 3D-SPACE had no difference. The sensitivity of nodules <6mm, 6-8mm, 8-10mm and ≥10mm was 90.5%, 95.6%, 100% and 100%. 3T-MRI sensitivity of calcified nodules was 80.3%. 3T-MRI was comparable to CT in detecting consolidation, ground-glass opacities, cavity, lobulation, spiculation, stripe, pleural reaction, tree-in-bud sign, miliary nodules, satellite lesions. 3T-MRI was inferior to CT in detection of pleural indention and bronchiectasis. 3T-MRI was superior to present caseous necrosis, liquefaction, mucus plug and obstructive pneumonia. Conclusions free-breathing Star-VIBE and fBLADE TSE can provide high-quality images. And 3T-MRI is comparable to CT for pulmonary parenchyma lesions and has advantages of identifying caseous necrosis, liquefaction, mucus plug and obstructive pneumonia.

Key words: Pulmonary magnetic resonance imaging, X-ray computer, tomography, Image quality, Detection

Yan Qinqin, Shen Jie, Lu Shuihua, Shan Fei, Shi Yuxin. Correlation between computed tomographic and 3T magnetic resonance imaging findings of parenchymal lung diseases[J]. Electronic Journal of Emerging Infectious Diseases, 2021, 6(1): 49-53.

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