Stacked in-plane histology for quantitative validation of non-invasive imaging biomarkers: application to an infiltrative brain tumour model

Al-Mubarak, H., Vallatos, A. , Gallagher, L., Birch, J., Gilmour, L., Foster, J., Chalmers, A.J. and Holmes, W.M. (2019) Stacked in-plane histology for quantitative validation of non-invasive imaging biomarkers: application to an infiltrative brain tumour model. Journal of Neuroscience Methods, 326, 108372. (doi: 10.1016/j.jneumeth.2019.108372) (PMID:31348965)

Abstract

While it is generally agreed that histopathology is the gold standard for assessing non-invasive imaging biomarkers, most validation has been by qualitative visual comparison. To date, the difficulties involved in accurately co-registering histology sections with imaging slices have prevented a voxel-by-voxel assessment of imaging modalities. By contrast with previous studies, which focus on improving the registration algorithms, we have taken the approach of improving the quality of the histological processing and analysis. New method: To account for imaging slice orientation and thickness, multiple histology sections were cut in the MR imaging plane and averaged to produce stacked in-plane histology (SIH) maps. When combined with intensity sensitive staining this approach gives histopathology maps, which can be used as the gold standard to validate imaging biomarkers. Results: We applied this pipeline to a patient-derived mouse model of glioblastoma multiforme (GBM). Increasing the number of stacked histology sections significantly increased SIH measured tumour volume. The SIH technique proposed here resulted in reduced variability of volume measurements and this allowed significant improvements in the quantitative volumetric assessment of multiple MRI modalities. Further, high quality registration enabled a voxel-wise comparison between MRI and histopathology maps. Previous approaches to the validation of imaging biomarkers with histology, have been either qualitative or of limited accuracy. Here we propose a pipeline that allows for a more accurate validation via co-registration with SIH maps, potentially allowing validation in a voxel-wise mode. Conclusion: This work demonstrates that methodically produced SIH maps facilitate the quantitative histopathologic assessment of imaging biomarkers.

• Item Type: Articles
• Additional Information: H. Al-Mubarak would like to thank the Ministry of Higher Education and Scientific Research of Iraq for financial support. -Contract grant sponsor: The Brain Tumour Charity; Contract grant number: 26/160.
• Status: Published
• Refereed: Yes
• Glasgow Author(s) Enlighten ID: Gallagher, Mrs Lindsay and Holmes, Dr William and Birch, Dr Joanna and Vallatos, Dr Antoine and Foster, Dr John and Chalmers, Professor Anthony and Al-mubarak, Haitham Farooq Ibrahim
• Authors: Al-Mubarak, H., Vallatos, A., Gallagher, L., Birch, J., Gilmour, L., Foster, J., Chalmers, A.J., and Holmes, W.M.
• College/School: College of Medical Veterinary and Life Sciences > School of Cancer Sciences; College of Medical Veterinary and Life Sciences > School of Psychology & Neuroscience
• Journal Name: Journal of Neuroscience Methods
• Publisher: Elsevier
• ISSN: 0165-0270
• ISSN (Online): 1872-678X
• Published Online: 23 July 2019
• Copyright Holders: Copyright © 2019 Elsevier B.V.
• First Published: First published in Journal of Neuroscience Methods 326:108372
• Publisher Policy: Reproduced in accordance with the publisher copyright policy