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Understanding Spatial Correlation Between Multiparametric MRI Performance and Prostate Cancer.
Zabihollahy, Fatemeh; Naim, Sohaib; Wibulpolprasert, Pornphan; Reiter, Robert E; Raman, Steven S; Sung, Kyunghyun.
Afiliação
  • Zabihollahy F; Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
  • Naim S; Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
  • Wibulpolprasert P; Physics, Biology in Medicine Interdisciplinary Program (IDP), David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
  • Reiter RE; Department of Diagnostic and Therapeutic Radiology, Faculty of Medicine, Ramathibodi Hospital, Bangkok, Thailand.
  • Raman SS; Department of Urology, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
  • Sung K; Department of Radiological Sciences, David Geffen School of Medicine at UCLA, Los Angeles, California, USA.
J Magn Reson Imaging ; 2024 Feb 12.
Article em En | MEDLINE | ID: mdl-38345143
ABSTRACT

BACKGROUND:

Multiparametric 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.

PURPOSE:

To 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 TYPE Retrospective.

SUBJECTS:

One thousand one hundred forty-three men who underwent mpMRI before radical prostatectomy between 2010 and 2022. FIELD STRENGTH/SEQUENCE 3.0 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. ASSESSMENT Integrated 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 TESTS A 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.

RESULTS:

A 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

CONCLUSION:

Spatial 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 LEVEL 4 TECHNICAL EFFICACY Stage 2.
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Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos

Texto completo: 1 Base de dados: MEDLINE Tipo de estudo: Prognostic_studies / Risk_factors_studies Idioma: En Revista: J Magn Reson Imaging Assunto da revista: DIAGNOSTICO POR IMAGEM Ano de publicação: 2024 Tipo de documento: Article País de afiliação: Estados Unidos