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Prostate MRI: Evaluating tumor volume and apparent diffusion coefficient as surrogate biomarkers for predicting tumor Gleason score


Donati, Olivio F; Afaq, Asim; Mazaheri, Yousef; Vargas, Hebert Alberto; Junting, Zheng; Moskowitz, Chaya S; Hricak, Hedvig; Akin, Oguz (2014). Prostate MRI: Evaluating tumor volume and apparent diffusion coefficient as surrogate biomarkers for predicting tumor Gleason score. Clinical Cancer Research, 20(14):3705-3711.

Abstract

Purpose To investigate whether tumor volume derived from apparent diffusion coefficient (ADC) maps (VolumeADC) and tumor mean ADC value (ADCmean) are independent predictors of prostate tumor Gleason score (GS). Materials and Methods Tumor volume and GS were recorded from whole-mount histopathology for 131 men (median age, 60) who underwent endorectal diffusion-weighted magnetic resonance imaging for local staging of prostate cancer before prostatectomy. VolumeADC and ADCmean were derived from ADC maps and correlated with histopathologic tumor volume and GS. Uni- and multivariate analyses were performed to evaluate prediction of tumor aggressiveness. Areas under receiver-operating-characteristics curves (AUCs) were calculated to evaluate the performance of VolumeADC and ADCmean in discriminating tumors of GS 6 and GS ≥7. Results Histopathology identified 116 tumor foci >0.5 mL. VolumeADC correlated significantly with histopathologic tumor volume (ρ=0.683). The correlation increased with increasing GS (ρ=0.453 for GS 6 tumors; ρ=0.643 for GS 7 tumors; ρ=0.980 for GS≥8 tumors). Both VolumeADC (ρ=0.286) and ADCmean (ρ=-0.309) correlated with GS. At univariate analysis, both VolumeADC (p=0.0325) and ADCmean (p=0.0033) could differentiate GS=6 from GS≥7 tumor foci. However, at multivariate analysis, only ADCmean (p=0.0156) was a significant predictor of tumor aggressiveness (i.e., GS 6 vs. GS ≥7). For differentiating GS 6 from GS≤7 tumors, AUCs were 0.644 and 0.704 for VolumeADC and ADCmean, respectively, and 0.749 for both parameters combined. Conclusion In patients with prostate cancer, ADCmean is an independent predictor of tumor aggressiveness, but VolumeADC is not. The latter parameter adds little to the ADCmean in predicting tumor Gleason score.

Abstract

Purpose To investigate whether tumor volume derived from apparent diffusion coefficient (ADC) maps (VolumeADC) and tumor mean ADC value (ADCmean) are independent predictors of prostate tumor Gleason score (GS). Materials and Methods Tumor volume and GS were recorded from whole-mount histopathology for 131 men (median age, 60) who underwent endorectal diffusion-weighted magnetic resonance imaging for local staging of prostate cancer before prostatectomy. VolumeADC and ADCmean were derived from ADC maps and correlated with histopathologic tumor volume and GS. Uni- and multivariate analyses were performed to evaluate prediction of tumor aggressiveness. Areas under receiver-operating-characteristics curves (AUCs) were calculated to evaluate the performance of VolumeADC and ADCmean in discriminating tumors of GS 6 and GS ≥7. Results Histopathology identified 116 tumor foci >0.5 mL. VolumeADC correlated significantly with histopathologic tumor volume (ρ=0.683). The correlation increased with increasing GS (ρ=0.453 for GS 6 tumors; ρ=0.643 for GS 7 tumors; ρ=0.980 for GS≥8 tumors). Both VolumeADC (ρ=0.286) and ADCmean (ρ=-0.309) correlated with GS. At univariate analysis, both VolumeADC (p=0.0325) and ADCmean (p=0.0033) could differentiate GS=6 from GS≥7 tumor foci. However, at multivariate analysis, only ADCmean (p=0.0156) was a significant predictor of tumor aggressiveness (i.e., GS 6 vs. GS ≥7). For differentiating GS 6 from GS≤7 tumors, AUCs were 0.644 and 0.704 for VolumeADC and ADCmean, respectively, and 0.749 for both parameters combined. Conclusion In patients with prostate cancer, ADCmean is an independent predictor of tumor aggressiveness, but VolumeADC is not. The latter parameter adds little to the ADCmean in predicting tumor Gleason score.

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Additional indexing

Item Type:Journal Article, refereed, original work
Communities & Collections:04 Faculty of Medicine > University Hospital Zurich > Clinic for Diagnostic and Interventional Radiology
Dewey Decimal Classification:610 Medicine & health
Language:English
Date:2014
Deposited On:10 Jun 2014 11:48
Last Modified:05 Apr 2016 17:54
Publisher:American Association for Cancer Research
ISSN:1078-0432
Free access at:Publisher DOI. An embargo period may apply.
Publisher DOI:https://doi.org/10.1158/1078-0432.CCR-14-0044
PubMed ID:24850842

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