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- Title
Validation of a DIXON-based fat quantification technique for the measurement of visceral fat using a CT-based reference standard.
- Authors
Heckman, Katherine M.; Otemuyiwa, Bamidele; Chenevert, Thomas L.; Malyarenko, Dariya; Davenport, Matthew S.; Derstine, Brian A.; Wang, Stewart C.
- Abstract
Purpose: The purpose of the study is to determine whether a novel semi-automated DIXON-based fat quantification algorithm can reliably quantify visceral fat using a CT-based reference standard.Methods: This was an IRB-approved retrospective cohort study of 27 subjects who underwent abdominopelvic CT within 7 days of proton density fat fraction (PDFF) mapping on a 1.5T MRI. Cross-sectional visceral fat area per slice (cm2) was measured in blinded fashion in each modality at intervertebral disc levels from T12 to L4. CT estimates were obtained using a previously published semi-automated computational image processing system that sums pixels with attenuation − 205 to − 51 HU. MR estimates were obtained using two novel semi-automated DIXON-based fat quantification algorithms that measure visceral fat area by spatially regularizing non-uniform fat-only signal intensity or de-speckling PDFF 2D images and summing pixels with PDFF ≥ 50%. Pearson's correlations and Bland-Altman analyses were performed.Results: Visceral fat area per slice ranged from 9.2 to 429.8 cm2 for MR and from 1.6 to 405.5 cm2 for CT. There was a strong correlation between CT and MR methods in measured visceral fat area across all studied vertebral body levels (r = 0.97; n = 101 observations); the least (r = 0.93) correlation was at T12. Bland-Altman analysis revealed a bias of 31.7 cm2 (95% CI [− 27.1]-90.4 cm2), indicating modestly higher visceral fat assessed by MR.Conclusion: MR- and CT-based visceral fat quantification are highly correlated and have good cross-modality reliability, indicating that visceral fat quantification by either method can yield a stable and reliable biomarker.
- Subjects
ABDOMINAL adipose tissue; FAT measurement; MORPHOMETRICS; COMPUTED tomography; MAGNETIC resonance imaging; BIOLOGICAL tags
- Publication
Abdominal Radiology, 2019, Vol 44, Issue 1, p346
- ISSN
2366-004X
- Publication type
Article
- DOI
10.1007/s00261-018-1678-x