Comparison of GRASP free-breathing dynamic contrast-enhanced MRI and traditional BH-VIBE sequences in the imaging quality of lung cancer
10.3969/j.issn.1002-1671.2024.01.029
- VernacularTitle:GRASP自由呼吸动态对比增强MRI与常规BH-VIBE序列在肺癌图像质量中的对比研究
- Author:
Jinghuo YU
1
;
Lei CHU
;
Xueyi DING
;
Yi'nan SUN
;
Qing YANG
;
Juan ZHU
Author Information
1. 安庆市立医院影像中心,安徽 安庆 246003
- Keywords:
dynamic contrast-enhanced magnetic resonance imaging;
free-breathing;
golden angle radial sparse parallel;
lung cancer
- From:
Journal of Practical Radiology
2024;40(1):123-126
- CountryChina
- Language:Chinese
-
Abstract:
Objective To evaluate the clinical practical value of the golden angle radial sparse parallel(GRASP)technology in the MR imaging quality of lung cancer under free-breathing state.Methods The imaging data of 30 lung cancer patients diagnosed with CT screening were collected by using a large-aperture 3.0T MR scanner.All patients underwent routine Cartesian breath-hold volume interpolation(BH-VIBE)scanning,then free-breathing dynamic contrast-enhanced magnetic resonance imaging(DCE-MRI)scanning based on GRASP technology,and another repetitive BH-VIBE scanning.The MR imaging quality was independently evaluated by two experienced thoracic radiologists including overall image quality,lesion outline,artifact grade and diagnostic confidence,mean-while,the CT images of the patient at the same time were used as a reference.The sequence information on MR images was also pro-cessed blindly.Results The GRASP sequence could effectively eliminate the interference of motion artifacts such as respiration and cardiac large vessel beats,and the image quality,lesion outline,artifact grade,and diagnostic confidence of the GRASP sequence were significantly better than the BH-VIBE(P＜0.01).The image quality of the GRASP sequence was more satisfactory with clea-rer tumor boundary and more details.Conclusion Free-breathing high-temporal-spatial resolution GRASP technology has better image quality than traditional BH-VIBE scanning,and it is a reliable method for high-resolution imaging of lung cancer.
