Understanding Spatial Correlation Between Multiparametric MRI Performance and Prostate Cancer

Author:

Zabihollahy Fatemeh1ORCID,Naim Sohaib12,Wibulpolprasert Pornphan3,Reiter Robert E.4,Raman Steven S.1,Sung Kyunghyun12ORCID

Affiliation:

1. Department of Radiological Sciences David Geffen School of Medicine at UCLA Los Angeles California USA

2. Physics, Biology in Medicine Interdisciplinary Program (IDP), David Geffen School of Medicine at UCLA Los Angeles California USA

3. Department of Diagnostic and Therapeutic Radiology Faculty of Medicine, Ramathibodi Hospital Bangkok Thailand

4. Department of Urology David Geffen School of Medicine at UCLA Los Angeles California USA

Abstract

BackgroundMultiparametric MRI (mpMRI) has shown a substantial impact on prostate cancer (PCa) diagnosis. However, the understanding of the spatial correlation between mpMRI performance and PCa location is still limited.PurposeTo investigate the association between mpMRI performance and tumor spatial location within the prostate using a prostate sector map, described by Prostate Imaging Reporting and Data System (PI‐RADS) v2.1.Study TypeRetrospective.SubjectsOne thousand one hundred forty‐three men who underwent mpMRI before radical prostatectomy between 2010 and 2022.Field Strength/Sequence3.0 T. T2‐weighted turbo spin‐echo, a single‐shot spin‐echo EPI sequence for diffusion‐weighted imaging, and a gradient echo sequence for dynamic contrast‐enhanced MRI sequences.AssessmentIntegrated relative cancer prevalence (rCP), detection rate (DR), and positive predictive value (PPV) maps corresponding to the prostate sector map for PCa lesions were created. The relationship between tumor location and its detection/missing by radiologists on mpMRI compared to WMHP as a reference standard was investigated.Statistical TestsA weighted chi‐square test was performed to examine the statistical differences for rCP, DR, and PPV of the aggregated sectors within the zone, anterior/posterior, left/right prostate, and different levels of the prostate with a statistically significant level of 0.05.ResultsA total of 1665 PCa lesions were identified in 1143 patients, and from those 1060 lesions were clinically significant (cs)PCa tumors (any Gleason score [GS] ≥7). Our sector‐based analysis utilizing weighted chi‐square tests suggested that the left posterior part of PZ had a high likelihood of missing csPCa lesions at a DR of 67.0%. Aggregated sector analysis indicated that the anterior or apex locations in PZ had the significantly lowest csPCa detection at 67.3% and 71.5%, respectively.Data ConclusionSpatial characteristics of the per‐lesion‐based mpMRI performance for diagnosis of PCa were studied. Our results demonstrated that there is a spatial correlation between mpMRI performance and locations of PCa on the prostate.Evidence Level4Technical EfficacyStage 2

Funder

Division of Cancer Prevention, National Cancer Institute

Publisher

Wiley

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