Comparative study on the optimal delay time in quantitative evaluation of extracellular volume fraction based on dual-energy CT
10.3760/cma.j.cn112149-20231206-00454
- VernacularTitle:基于双能量CT的细胞外容积分数定量评估心肌纤维化最佳延迟时间的比较研究
- Author:
Chenfei LI
1
;
Mingyue WANG
;
Minghua SUN
;
Ruigang XIE
;
Bin LYU
;
Yinghui GE
Author Information
1. 阜外华中心血管病医院放射科 河南省心脏病影像医学重点实验室 河南省人民医院心脏中心，郑州 451464
- Keywords:
Tomography, X-ray computed;
Extracellular volume;
Magnetic resonance imaging;
Fibrosis
- From:
Chinese Journal of Radiology
2024;58(10):1035-1041
- CountryChina
- Language:Chinese
-
Abstract:
Objective:To investigate the optimal delay time in the quantitative assessment of myocardial fibrosis based on dual-energy CT extracellular volume fraction (DECT-ECV), using MRI as a reference.Methods:Thirty patients with confirmed or suspected of cardiomyopathy were prospectively enrolled in this study. All the patients underwent both cardiac DECT and MRI examination within one week. According to the imaging features of late gadolinium enhancement (LGE) on MRI, myocardial segments were classified into 3 types: ischemic LGE segments, non-ischemic LGE segments and negative LGE segments. According to the DECT delay time, the whole and segmental myocardium were divided into 3 groups: delay of 3 min (Group A), delay of 5 min (Group B) and delay of 7 min (Group C). Correlation and agreement between CT-ECV and MRI-ECV were performed on a basis of overall myocardium and segmental myocardium. Pearson or Spearman test was used for correlation analysis and Bland-Altman test was used for consistency analysis.Results:Thirty patients with 480 segments were finally included in our study. In the analysis based on overall myocardium, MRI-ECV was 33.12%±4.29%, and CT-ECV were 35.81%±4.48%, 36.02%±4.56%, and 36.58%±4.69% in Group A, B, and C, respectively. The agreement between DECT-ECV and MRI-ECV results was good, with the correlation coefficients of 0.878 (group A), 0.955 (Group B) and 0.947 (Group C) (all P<0.001). In the analysis based on segmental myocardium, as for the ischemic LGE myocardial segments, MRI-ECV was 34.60%(31.70%,39.40%), and CT-ECV were 37.50 (34.20, 41.90), 38.20%(36.20%, 40.60%)and 39.40%(35.50%,42.40%)in Group A, B, and C, respectively. The agreement between DECT-ECV and MRI-ECV results was good, with the correlation coefficients of 0.559, 0.695 and 0.682 (all P<0.001) for groups A, B and C, and as for non-ischemic LGE myocardial segments, MRI-ECV was 35.10% (32.68%, 38.70%), and CT-ECV were 38.15% (35.13%, 41.75%), 39.25% (35.78%, 42.20%) and 39.60% (35.88%,42.90%) in Group A, B, and C. The correlation coefficients of CMR-ECV and DECT-ECV of groups A, B and C were 0.531, 0.772 and 0.744 (all P<0.001), showing good agreement; as for negative LGE myocardial segments, MRI-ECV and CT-ECV of Group A, Group B, Group C were 28.50%(27.00%, 30.10%), 31.10%(28.70%, 34.60%), 31.30%(28.40%, 33.80%), 31.30%(29.20%, 34.80%). The correlation coefficients between MRI-ECV and DECT-ECV of group A, B and C were 0.273, 0.508 and 0.425 (all P<0.001), which also showed good agreement. Conclusions:DECT-ECV can be used for quantitative evaluation of myocardial histological features. DECT-ECV with a 5 min and 7 min delay shows good correlation and agreement with MRI-ECV. In order to make this technology more well-known and improve its application capability, our recommendation for clinical practice is a 5 min delay after contrast administration in clinical practice.
