4.5 Article

Adipose tissue fibrosis assessed by high resolution ex vivo MRI as a hallmark of tissue alteration in morbid obesity

Journal

QUANTITATIVE IMAGING IN MEDICINE AND SURGERY
Volume 11, Issue 5, Pages 2162-2168

Publisher

AME PUBL CO
DOI: 10.21037/qims-20-879

Keywords

Subcutaneous adipose tissue; fibrosis; magnetic resonance imaging (MRI)

Funding

  1. IHU ICAN

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This study utilized high-field ex vivo MRI to quantify fibrosis percentage in human subcutaneous adipose tissue samples, demonstrating excellent correlations and levels of agreement with histology results.
To determine whether magnetic resonance imaging (MRI) when used in an optimal ex vivo setting can help detecting and quantifying the 3D fibrosis fraction in human subcutaneous adipose tissue (SAT) samples, as compared to histology. This prospective observational study was approved by our institutional review board 3D MRI acquisitions were performed at 4.0 T (Bruker) on XX human SAT samples (around 1 cm(3)) collected from biopsy in morbidly obese patients. Such acquisitions included saturation-recovery T1 mapping (spatial resolution: 200 mu m, acquisition time: similar to 16 minutes) and DIXON imaging (spatial resolution: 200 mu m, acquisition time: similar to 20 minutes). After MRI, histological quantification of fibrosis was performed using picrosirius staining. T1 maps were clustered based on a k-means algorithm allowing quantification of fibrosis within the adipose tissue and percentage of fibrosis over the entire sample volume was calculated. Fat maps were computed from DIXON in-phase and out-of-phase images. The 3D MRI fibrosis percentage within the SAT samples were comprised between 6% and 15%. Excellent correlations and levels of agreement were observed between single slice MRI and histology (r=0.9, P=0.08) and between 3D MRI and histology in terms fibrosis percentages within SAT samples (r=0.9, P=0.01). High Field ex vivo MRI was able to quantify fibrosis in human SAT samples with high agreement with histology and moreover to provide 3D SAT fibrosis quantification avoiding histological sampling errors.

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