Non-invasive estimation of prostate cancer aggressiveness using diffusion-weighted MRI and 3D proton MR spectroscopy at 3.0 T

• Published in: Acta radiologica (1987) Vol. 56; no. 1; p. 121
• Main Authors: Thörmer, Gregor, Otto, Josephin, Horn, Lars-Christian, Garnov, Nikita, Do, Minh, Franz, Toni, Stolzenburg, Jens-Uwe, Moche, Michael, Kahn, Thomas, Busse, Harald
• Format: Journal Article
• Language: English
• Published: England 01.01.2015
• Subjects: Aged; Biomarkers, Tumor - analysis; Choline - analysis; Diffusion Magnetic Resonance Imaging - methods; Humans; Image Interpretation, Computer-Assisted - methods; Imaging, Three-Dimensional - methods; Male; Middle Aged; Molecular Imaging - methods; Neoplasm Invasiveness; Observer Variation; Prostatic Neoplasms - chemistry; Prostatic Neoplasms - diagnosis; Proton Magnetic Resonance Spectroscopy - methods; Reproducibility of Results; Sensitivity and Specificity; MR diffusion/perfusion; Magnetic resonance imaging (MRI); prostate; staging; MR spectroscopy
• DOI: 10.1177/0284185113520311

Clinical management of prostate cancer increasingly aims to distinguish aggressive types that require immediate and radical treatment from indolent tumors that are candidates for watchful waiting. This requires reliable and reproducible parameters to effectively control potential cancer progression. Magnetic resonance imaging (MRI) may provide a non-invasive means for this purpose. To assess the value of diffusion-weighted imaging and proton MR spectroscopy for the prediction of prostate cancer (PCa) aggressiveness. In 39 of 64 consecutive patients who underwent endorectal 3-T MRI prior to radical prostatectomy, prostate specimens were analyzed as whole-mount step sections. Apparent diffusion coefficient (ADC), normalized ADC (nADC: tumor/healthy tissue), choline/citrate (CC), and (choline + creatine)/citrate (CCC) ratios were correlated with Gleason scores (GS) from histopathological results. The power to discriminate low (GS ≤ 6) from higher-risk (GS ≥ 7) tumors was assessed with receiver operating characteristics (area under the curve [AUC]). Resulting threshold values were used by a blinded reader to distinguish between aggressive and indolent tumors. Ninety lesions (1 × GS = 5, 41 × GS = 6, 36 × GS = 7, 12 × GS = 8) were considered. nADC (AUC = 0.90) showed a higher discriminatory power than ADC (AUC = 0.79). AUC for CC and CCC were 0.73 and 0.82, respectively. Using either nADC < 0.46 or CCC > 1.3, as well as both criteria for aggressive PCa, the reader correctly identified aggressive and indolent tumors in 31 (79%), 28 (72%), and 33 of 39 patients (85%), respectively. Predictions of tumor aggressiveness from TRUS-guided biopsies were correct in 27 of 36 patients (75%). The combination of a highly sensitive normalized ADC with a highly specific CCC was found to be well suited to prospectively estimate PCa aggressiveness with a similar diagnostic accuracy as biopsy results.