Literature DB >> 33128424

Histological Validation of MRI: A Review of Challenges in Registration of Imaging and Whole-Mount Histopathology.

Wadha Alyami1,2, Andre Kyme3, Roger Bourne1.   

Abstract

Rigorous validation with ground truth information such as histology is needed to reliably assess the current and potential value of MRI techniques to characterize tissue and identify disease-related tissue alterations. Commonly used methods that aim to directly correlate histology and MRI data generally fall short of this goal due to spatial errors that preclude direct matching. Errors result from tissue deformation, differences in spatial resolution and slice thickness, non-coplanar and/or nonintersecting plane orientations, and different image contrast mechanisms. Some of these problems arise from limitations in standard protocols for clinical tissue processing and histology-based pathology reporting, and to some extent can be addressed by modifications to standard protocols without compromising the clinical process. Typical modifications include ex vivo specimen MRI, block-face photography, addition of fiducial markers, and 3D printed molds to constrain tissue deformation and guide sectioning. This review summarizes the advantages and limitations of MRI validation techniques based on coregistration of MRI with whole-mount histology of tissue specimens. LEVEL OF EVIDENCE: 4 TECHNICAL EFFICACY STAGE: 1.
© 2020 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  MRI; accuracy; histology; pathology; registration; validation

Mesh:

Year:  2020        PMID: 33128424     DOI: 10.1002/jmri.27409

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN: 1053-1807            Impact factor:   4.813


  3 in total

1.  Radiologic-pathologic correlation of lesions in resected liver specimens with an ex vivo MRI-compatible localization device.

Authors:  Victoria R Rendell; Emily R Winslow; Timothy J Colgan; S Krisztian Kovacs; Matthias R Mühler; Gesine Knobloch; Agnes G Loeffler; Rashmi M Agni; Scott B Reeder
Journal:  Eur Radiol       Date:  2022-07-21       Impact factor: 7.034

2.  Technique to match mesorectal lymph nodes imaging findings to histopathology: node-by-node comparison.

Authors:  Zixuan Zhuang; Xueqin Ma; Yang Zhang; Xuyang Yang; Mingtian Wei; Xiangbing Deng; Ziqiang Wang
Journal:  J Cancer Res Clin Oncol       Date:  2022-08-26       Impact factor: 4.322

3.  Post mortem brain temperature and its influence on quantitative MRI of the brain.

Authors:  Celine Berger; Melanie Bauer; Holger Wittig; Eva Scheurer; Claudia Lenz
Journal:  MAGMA       Date:  2021-10-29       Impact factor: 2.533

  3 in total

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