Value of MRI ultra-short echo time sequence in the diagnosis of pulmonary nodules
10.3760/cma.j.cn112149-20250123-00054
- VernacularTitle:MRI超短回波序列诊断肺结节的价值
- Author:
Zhaoyan ZHOU
1
;
Ying WANG
;
Bin NAN
;
Qing LIN
;
Xiaojing KAN
;
Yinghui GE
;
Zhiping GUO
Author Information
1. 阜外华中心血管病医院 郑州大学华中阜外医院放射科，郑州 451464
- Publication Type:Journal Article
- Keywords:
Lung neoplasms;
Magnetic resonance imaging;
Tomography, X-ray computed;
Ultra-short echo time imaging
- From:
Chinese Journal of Radiology
2025;59(7):771-776
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To explore the clinical application value of MRI ultra-short echo time sequence (MRI-UTE) in the diagnosis of pulmonary nodules.Methods:This study was a cross-sectional study. A total of 101 consecutive patients were recruited prospectively from January to August 2024 at Huazhong Fuwai Hospital of Zhengzhou University. All of the included patients were diagnosed with pulmonary nodules by chest CT examination and intended for treatment. All patients underwent low-dose CT examination and MRI-UTE examination. The number, classification, and lung imaging reporting and data system (lung-RADS) grading of the pulmonary nodules were analyzed. Nodules classification was determined as solid nodules or sub-solid nodules, and sub-solid nodules included part-solid nodules and pure ground-glass nodules. Taking the evaluation results of radiologists with 10 and 12 years of experience in chest imaging diagnosis as the reference standard, the Kappa test was used to analyze the agreement of CT and MRI-UTE in terms of the accurate diagnosis, classification, and lung-RADS grading of pulmonary nodules. Results:Among the 101 patients, a total of 216 pulmonary nodules were identified. MRI-UTE accurately diagnosed 180 pulmonary nodules, while 203 pulmonary nodules were detected by CT. The concordance was moderate ( Kappa=0.48, P<0.001). In terms of nodule classification, CT correctly classified 167 nodules as solid and 36 as sub-solid, whereas MRI-UTE correctly classified 153 as solid and 23 as sub-solid, with good agreement (weighted Kappa=0.73, P<0.001). For lung-RADS grading, CT correctly graded 186 nodules, with 85 graded as category 2, 46 as category 3, 33 as category 4A, 12 as category 4B, and 10 as category 4X; MRI-UTE correctly graded 155 nodules, with 74 graded as category 2, 30 as category 3, 30 as category 4A, 12 as category 4B, and 9 as category 4X. The agreement between the two modalities in determining lung-RADS grade was also good (weighted Kappa=0.74, P<0.001). Conclusion:MRI-UTE demonstrates good agreement with CT in the accurate diagnosis, classification, and lung-RADS grading of pulmonary nodules, indicating certain clinical application value.
