T2-weighted MRI-derived textural features reflect prostate cancer aggressiveness: preliminary results
Publication year
2017Source
European Radiology, 27, 7, (2017), pp. 3050-3059ISSN
Publication type
Article / Letter to editor

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Organization
Medical Imaging
Journal title
European Radiology
Volume
vol. 27
Issue
iss. 7
Page start
p. 3050
Page end
p. 3059
Subject
Radboudumc 15: Urological cancers RIHS: Radboud Institute for Health SciencesAbstract
PURPOSE: To evaluate the diagnostic relevance of T2-weighted (T2W) MRI-derived textural features relative to quantitative physiological parameters derived from diffusion-weighted (DW) and dynamic contrast-enhanced (DCE) MRI in Gleason score (GS) 3+4 and 4+3 prostate cancers. MATERIALS AND METHODS: 3T multiparametric-MRI was performed on 23 prostate cancer patients prior to prostatectomy. Textural features [angular second moment (ASM), contrast, correlation, entropy], apparent diffusion coefficient (ADC), and DCE pharmacokinetic parameters (Ktrans and Ve) were calculated from index tumours delineated on the T2W, DW, and DCE images, respectively. The association between the textural features and prostatectomy GS and the MRI-derived parameters, and the utility of the parameters in differentiating between GS 3+4 and 4+3 prostate cancers were assessed statistically. RESULTS: ASM and entropy correlated significantly (p < 0.05) with both GS and median ADC. Contrast correlated moderately with median ADC. The textural features correlated insignificantly with Ktrans and Ve. GS 4+3 cancers had significantly lower ASM and higher entropy than 3+4 cancers, but insignificant differences in median ADC, Ktrans, and Ve. The combined texture-MRI parameters yielded higher classification accuracy (91%) than the individual parameter sets. CONCLUSION: T2W MRI-derived textural features could serve as potential diagnostic markers, sensitive to the pathological differences in prostate cancers. KEY POINTS: * T2W MRI-derived textural features correlate significantly with Gleason score and ADC. * T2W MRI-derived textural features differentiate Gleason score 3+4 from 4+3 cancers. * T2W image textural features could augment tumour characterization.
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- Faculty of Medical Sciences [86157]
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