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Predictive Value of Multiparametric Magnetic Resonance Imaging in Risk Group Stratification of Prostate Adenocarcinoma.
Bonebrake, Benjamin T; Parr, Elsa; Huynh, Linda My; Coutu, Brendan; Hansen, Neil; Teply, Benjamin; Enke, Charles; Lagrange, Chad; Baine, Michael.
Afiliación
  • Bonebrake BT; University of Nebraska Medical Center College of Medicine, Omaha, Nebraska.
  • Parr E; Mayo Clinic Department of Radiation Oncology, Rochester, Minnesota.
  • Huynh LM; University of Nebraska Medical Center College of Medicine, Omaha, Nebraska.
  • Coutu B; Sparrow Health System, Lansing, Michigan.
  • Hansen N; University of Nebraska Medical Center, Omaha, Nebraska.
  • Teply B; University of Nebraska Medical Center, Omaha, Nebraska.
  • Enke C; University of Nebraska Medical Center, Omaha, Nebraska.
  • Lagrange C; University of Nebraska Medical Center, Omaha, Nebraska.
  • Baine M; University of Nebraska Medical Center, Omaha, Nebraska.
Adv Radiat Oncol ; 9(6): 101493, 2024 Jun.
Article en En | MEDLINE | ID: mdl-38711959
ABSTRACT

Purpose:

The aim of this study was to further assess the clinical utility of multiparametric magnetic resonance imaging (MP-MRI) in prostate cancer (PC) staging following 2023 clinical guideline changes, both as an independent predictor of high-stage (>T3a) or high-risk PC and when combined with patient characteristics. Methods and Materials The present study was a retrospective review of 171 patients from 2008 to 2018 who underwent MP-MRI before radical prostatectomy at a single institution. The accuracy of clinical staging was compared between conventional staging and MP-MRI-based clinical staging. Sensitivity, specificity, positive predictive value, and negative predictive value were compared, and receiver operating characteristic curves were generated. Linear regression analyses were used to calculate concordance (C-statistic).

Results:

Of the 171 patients, final pathology revealed 95 (55.6%) with T2 disease, 62 (36.3%) with T3a disease, and 14 (8.2%) with T3b disease. Compared with conventional staging, MP-MRI-based staging demonstrated significantly increased accuracy in identifying T3a disease, intermediate risk, and high/very-high-risk PC. When combined with clinical characteristics, MP-MRI-based staging improved the area under the curve from 0.753 to 0.808 (P = .0175), compared with conventional staging.

Conclusions:

MP-MRI improved the identification of T3a PC, intermediate-risk PC, and high- or very-high-risk PC. Further, when combined with clinical characteristics, MP-MRI-based staging significantly improved risk stratification, compared with conventional staging. These findings represent further evidence to support the integration of MP-MRI into prostate adenocarcinoma clinical staging guidelines.

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Adv Radiat Oncol Año: 2024 Tipo del documento: Article

Texto completo: 1 Banco de datos: MEDLINE Idioma: En Revista: Adv Radiat Oncol Año: 2024 Tipo del documento: Article