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Microstructural characterisation of normal and malignant human prostate tissue with VERDICT MRI

Panagiotaki, E; Chan, RW; Dikaios, N; Ahmed, H; O'Callaghan, J; Freeman, A; Atkinson, D; ... Alexander, DC; + view all (2015) Microstructural characterisation of normal and malignant human prostate tissue with VERDICT MRI. Investigative Radiology , 50 (4) pp. 218-227. 10.1097/RLI.0000000000000115. Green open access

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Abstract

Objectives Demonstrate the feasibility of the recently introduced VERDICT (Vascular, Extracellular and Restricted DIffusion for Cytometry in Tumours) framework for imaging prostate cancer with diffusion-weighted Magnetic Resonance Imaging (DW-MRI) within a clinical setting. Materials and Methods VERDICT is a non-invasive microstructure imaging technique that combines an in-depth diffusion MRI acquisition with a mathematical model to estimate and map microstructural tissue parameters such as cell size and density, and vascular perfusion. In total 8 patients underwent 3T MRI using 9 different b values (100-3000 s/mm2). All patients were imaged before undergoing biopsy. Experiments with VERDICT analysed DW-MRI data from patients with histologically confirmed prostate cancer in areas of
cancerous and benign peripheral zone tissue. For comparison we also fitted commonly used diffusion models such as the Apparent Diffusion Coefficient (ADC), the Intravoxel Incoherent Motion (IVIM) and the Kurtosis model. We also investigated correlations of ADC and Kurtosis with VERDICT parameters to gain some biophysical insight into the various parameter values. Results 8 patients had prostate cancer in the peripheral zone with Gleason score 3+3 (n=1), 3+4 (n=6) and 4+3 (n=1). The VERDICT model identified a significant increase in the intracellular and vascular volume fraction estimates in cancerous compared to benign peripheral zone, as well as a significant decrease in the volume of the extracellular-extravascular space (EES) (P=0.05). This is in agreement with manual segmentation of the biopsies for prostate tissue component analysis, which found proliferation of epithelium, loss of surrounding stroma and an increase in vasculature. The standard ADC and Kurtosis parameters were also significantly different (P=0.05) between tissue types. There was no significant difference in any of the IVIM parameters (P=0.11 to 0.29). VERDICT parametric maps from voxel by voxel fitting clearly differentiated cancer from benign regions. ADC and Kurtosis parameters correlated most strongly with VERDICT’s intracellular volume fraction, but also moderately with the EES and vascular fractions. Conclusions VERDICT distinguished tumour from benign areas, while revealing differences in microstructure descriptors such as cellular, vascular and EES fractions. The parameters of ADC and Kurtosis models also discriminated between cancer and benign regions. However, VERDICT provides more specific information that disentangles the various microstructural features underlying the changes in ADC and Kurtosis. These results highlight the clinical potential of the VERDICT framework and motivate the construction of a shorter, clinically viable, imaging protocol to enable larger trials leading to widespread translation of the method.

Type: Article
Title: Microstructural characterisation of normal and malignant human prostate tissue with VERDICT MRI
Open access status: An open access version is available from UCL Discovery
DOI: 10.1097/RLI.0000000000000115
Publisher version: http://dx.doi.org/10.1097/RLI.0000000000000115
Language: English
Additional information: Copyright © 2015 Wolters Kluwer Health, Inc. All rights reserved. Final version of this article is available at http://dx.doi.org/10.1097/RLI.0000000000000115
Keywords: VERDICT MRI, prostate cancer, cancer imaging, microstructure, compartment model
UCL classification: UCL
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Medicine > Department of Imaging
UCL > Provost and Vice Provost Offices > School of Life and Medical Sciences > Faculty of Medical Sciences > Div of Surgery and Interventional Sci
UCL > Provost and Vice Provost Offices > UCL BEAMS
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Computer Science
UCL > Provost and Vice Provost Offices > UCL BEAMS > Faculty of Engineering Science > Dept of Med Phys and Biomedical Eng
URI: https://discovery.ucl.ac.uk/id/eprint/1448655
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