Why the study?
Studies validating Dixon-based fat fraction and R2 mappings against CTA attenuation metrics for quantifying carotid perivascular adipose tissue phenotypic changes and calcification burden were lacking.
Does MRI Dixon-based FF and R2 mapping correlate with CTA for assessing carotid perivascular adipose tissue phenotyping and calcific burden in patients with carotid atherosclerotic plaque?
Does MRI Dixon-based FF and R2 mapping correlate with CTA for assessing carotid perivascular adipose tissue phenotyping and calcific burden in patients with carotid atherosclerotic plaque?
MRI Dixon-based FF and R2 mappings show excellent agreement with CTA for quantifying carotid perivascular adipose tissue phenotype and calcific burden, offering a non-invasive, radiation-free alternative.
Supports radiation-free MRI carotid plaque phenotyping; leaves open need for prospective validation before clinical adoption.
BACKGROUND: Perivascular adipose tissue (PVAT) attenuation elevation, as measured by computed tomography angiography (CTA), indicates localized vascular inflammation. Dixon-based fat fraction (FF) and R2* mappings, established for assessing carotid high-risk plaque components, demonstrate potential for quantifying PVAT phenotypic changes and calcification burden. However, studies validating FF/R2* mappings against CTA attenuation metrics are lacking. PURPOSE: To assess the correlation between FF/R2* mappings and CTA measurements in evaluating carotid PVAT characteristics and calcification burden. STUDY TYPE: Prospective validation study. POPULATION/SUBJECTS: Twenty five patients with ultrasonographically-confirmed carotid atherosclerotic plaque (62.3 ± 11.3 years) having matched carotid CTA/MRI and five healthy volunteers (36.2 ± 11.9 years). FIELD STRENGTH/SEQUENCE: 3T, 3D multi-echo Dixon sequence for co-registered FF/R2* mapping. ASSESSMENT: Volunteers were scanned twice on the same day (with removal from scanner between scans) to assess scan-rescan reproducibility of FF mapping. PVAT FF values and calcification burden measured on Dixon-derived FF and R2* maps, respectively, were compared to spatially matched CTA Hounsfield units (HU) and calcification volumetry in the atherosclerosis cohort. STATISTICAL TESTS: Intraclass correlation coefficient (ICC), Pearson correlation coefficients (R), and Bland-Altman analysis. A p-value < 0.05 was considered significant. RESULTS: Dixon imaging demonstrated high scan-rescan reproducibility for PVAT FF quantification (ICC = 0.982). In patients, PVAT FF exhibited a strong inverse correlation with CTA HU values (R = -0.868). R2* mapping achieved near-perfect agreement with CTA in calcification volumetry across 40 calcified carotids (R = 0.991). CONCLUSION: FF/R2* mappings show excellent agreement with CTA for PVAT phenotyping and calcific burden quantification, while potentially enabling simultaneous assessment of vascular inflammation and high-risk plaque components. EVIDENCE LEVEL: 2. TECHNICAL EFFICACY: Stage 2.
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Zhou et al. (2025) studied this question.
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