T2-weighted MRI-derived textural features reflect prostate cancer aggressiveness: preliminary results

• DOI: 10.1007/s00330-016-4663-1
• Publication Date: 2016-12-14T16:27:01Z
• Authors: Gabriel Nketiah; Mattijs Elschot; Eugene Kim; Jose R. Teruel; Tom W. Scheenen; Tone F. Bathen; Kirsten M. Selnæs
• Keywords: Male; Prostatectomy; Biopsy; Prostate; Prostatic Neoplasms; Radboudumc 15: Urological cancers RIHS: Radboud Institute for Health Sciences; Middle Aged; Magnetic Resonance Imaging; Severity of Illness Index; 3. Good health; Cohort Studies; 03 medical and health sciences; 0302 clinical medicine; Medical Imaging - Radboud University Medical Center; Preoperative Period; Humans; Prospective Studies; Neoplasm Grading; Aged

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.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.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.T2W MRI-derived textural features could serve as potential diagnostic markers, sensitive to the pathological differences in prostate cancers.• 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.