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ludc webb

Isabel Goncalves

Professor

ludc webb

Classifications of atherosclerotic plaque components with T1 and T2* mapping in 11.7 T MRI

Author

  • My Truong
  • Finn Lennartsson
  • Adnan Bibic
  • Lena Sundius
  • Ana Persson
  • Roger Siemund
  • René In't Zandt
  • Isabel Goncalves
  • Johan Wassélius

Summary, in English

Background and aims: Histopathology is the gold standard for analysis of atherosclerotic plaques but has drawbacks due to the destructive nature of the method. Ex vivo MRI is a non-destructive method to image whole plaques. Our aim was to use quantitative high field ex vivo MRI to classify plaque components, with histology as gold standard.

Methods: Surgically resected carotid plaques from 12 patients with recent TIA or stroke were imaged at 11.7 T MRI. Quantitative T1/T2* mapping sequences and qualitative T1/T2* gradient echo sequences with voxel size of 30 × 30 × 60 μm3 were obtained prior to histological preparation, sectioning and staining for lipids, inflammation, hemorrhage, and fibrous tissue. Regions of interest (ROI) were selected based on the histological staining at multiple levels matched between histology and MRI. The MRI parameters of each ROI were then analyzed with quadratic discriminant analysis (QDA) for classification.

Results: A total of 965 ROIs, at 70 levels matched between histology and MRI, were registered based on histological staining. In the nine plaques where three or more plaque components were possible to co-localize with MRI, the mean degree of misclassification by QDA was 16.5 %. One of the plaques contained mostly fibrous tissue and lipids and had no misclassifications, and two plaques mostly contained fibrous tissue. QDA generally showed good classification for fibrous tissue and lipids, whereas plaques with hemorrhage and inflammation had more misclassifications.

Conclusion: 11.7 T ex vivo high field MRI shows good visual agreement with histology in carotid plaques. T1/T2* maps analyzed with QDA is a promising non-destructive method to classify plaque components, but with a higher degree of misclassifications in plaques with hemorrhage or inflammation.

Department/s

  • Diagnostic Radiology, (Lund)
  • Stroke Imaging Research group
  • LUCC: Lund University Cancer Centre
  • Cardiovascular Research - Translational Studies
  • EXODIAB: Excellence of Diabetes Research in Sweden
  • Neuroradiology
  • Lund University Bioimaging Center
  • EpiHealth: Epidemiology for Health
  • Cardiology

Publishing year

2021

Language

English

Pages

100323-100323

Publication/Series

European Journal of Radiology Open

Volume

8

Document type

Journal article

Publisher

Elsevier

Topic

  • Radiology, Nuclear Medicine and Medical Imaging
  • Cardiac and Cardiovascular Systems

Status

Published

Research group

  • Stroke Imaging Research group
  • Cardiovascular Research - Translational Studies
  • Neuroradiology

ISBN/ISSN/Other

  • ISSN: 2352-0477