Journal article
The clinical utility of prostate cancer heterogeneity using texture analysis of multiparametric MRI
International urology and nephrology, Vol.51(5), pp.817-824
05/2019
DOI: 10.1007/s11255-019-02134-0
PMID: 30929224
Abstract
To determine if multiparametric MRI (mpMRI) derived filtration-histogram based texture analysis (TA) can differentiate between different Gleason scores (GS) and the D'Amico risk in prostate cancer.
We retrospectively studied patients whose pre-operative 1.5T mpMRI had shown a visible tumour and who subsequently underwent radical prostatectomy (RP). Guided by tumour location from the histopathology report, we drew a region of interest around the dominant visible lesion on a single axial slice on the T2, Apparent Diffusion Coefficient (ADC) map and early arterial phase post-contrast T1 image. We then performed TA with a filtration-histogram software (TexRAD -Feedback Medical Ltd, Cambridge, UK). We correlated GS and D'Amico risk with texture using the Spearman's rank correlation test.
We had 26 RP patients with an MR-visible tumour. Mean of positive pixels (MPP) on ADC showed a significant negative correlation with GS at coarse texture scales. MPP showed a significant negative correlation with GS without filtration and with medium filtration. MRI contrast texture without filtration showed a significant, negative correlation with D'Amico score. MR T2 texture showed a significant, negative correlation with the D'Amico risk, particularly at textures without filtration, medium texture scales and coarse texture scales.
ADC map mpMRI TA correlated negatively with GS, and T2 and post-contrast images with the D'Amico risk score. These associations may allow for better assessment of disease prognosis and a non-invasive method of follow-up for patients on surveillance. Further, identifying clinically significant prostate cancer is essential to reduce harm from over-diagnosis and over-treatment.
Details
- Title: Subtitle
- The clinical utility of prostate cancer heterogeneity using texture analysis of multiparametric MRI
- Creators
- Maira Hameed - Imperial College Healthcare NHS TrustBalaji Ganeshan - University College London Hospitals NHS Foundation TrustJoshua Shur - University Health NetworkSubhabrata Mukherjee - Dartford And Gravesham NHS TrustAsim Afaq - University College London Hospitals NHS Foundation TrustDeepak Batura - London North West Healthcare NHS Trust
- Resource Type
- Journal article
- Publication Details
- International urology and nephrology, Vol.51(5), pp.817-824
- DOI
- 10.1007/s11255-019-02134-0
- PMID
- 30929224
- ISSN
- 0301-1623
- eISSN
- 1573-2584
- Grant note
- n/a / UK Department of Health National Institute of Health Research n/a / UCL Experimental Cancer Medicine Centre n/a / London North West Healthcare Charitable Fund
- Language
- English
- Date published
- 05/2019
- Academic Unit
- Radiology
- Record Identifier
- 9984318801102771
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