Literature DB >> 28807747

Pretreatment 3T multiparametric MRI staging predicts for biochemical failure in high-risk prostate cancer treated with combination high-dose-rate brachytherapy and external beam radiotherapy.

John V Hegde1, D Jeffrey Demanes2, Darlene Veruttipong2, Jagdeep Raince2, Sang-June Park2, Steven S Raman3, Nicholas G Nickols2, Christopher R King2, Amar U Kishan2, Michael L Steinberg2, Mitchell Kamrava4.   

Abstract

PURPOSE: To determine whether pretreatment 3T multiparametric MRI (mpMRI) staging impacts biochemical recurrence-free survival (BRFS) or distant metastasis-free survival (DMFS) for men with high-risk prostate cancer treated with combination high-dose-rate (HDR) brachytherapy and external beam radiation therapy (EBRT).
MATERIALS AND METHODS: This institutional review board-approved retrospective study included a cohort of 37 men with high-risk prostate cancer treated with HDR brachytherapy and EBRT after 3T mpMRI. Kaplan-Meier analysis was used to evaluate whether mpMRI evidence of extracapsular extension or seminal vesicle invasion (SVI) resulted in differences in BRFS or DMFS. Pretreatment and treatment-related variables were evaluated for association with biochemical failure (Phoenix definition) and distant metastatic failure using univariate Cox regression analysis.
RESULTS: The median prostate-specific antigen at diagnosis was 9 ng/mL (range 2-100). Biopsy Gleason score (bGS) was ≤8 in 38% and nine in 62%. Clinical T-category was T1-T2 in 89%, T3a in 8%, and T3b in 3%. With a median followup of 30.6 months, actuarial 3-year BRFS and DMFS were 76% and 86%, respectively. Kaplan-Meier analysis revealed that mpMRI evidence of extracapsular extension or SVI resulted in significantly higher rates of both biochemical recurrence and distant failure. Using Cox regression analysis, only mpMRI evidence of SVI vs. no SVI predicted for biochemical failure (hazard ratio 13.98, p = 0.0055).
CONCLUSIONS: For high-risk prostate cancer treated with combination HDR brachytherapy and EBRT, mpMRI evidence of SVI predicted for biochemical failure, whereas traditional pretreatment variables did not. Therefore, pretreatment 3T mpMRI appears useful for identifying men who may benefit from treatment intensification.
Copyright © 2017 American Brachytherapy Society. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Biochemical recurrence; Distant metastasis; External beam radiotherapy; HDR brachytherapy; High-risk prostate cancer; Multiparametric MRI

Mesh:

Substances:

Year:  2017        PMID: 28807747     DOI: 10.1016/j.brachy.2017.07.008

Source DB:  PubMed          Journal:  Brachytherapy        ISSN: 1538-4721            Impact factor:   2.362


  5 in total

1.  Prognostic Value of Pretreatment MRI in Patients With Prostate Cancer Treated With Radiation Therapy: A Systematic Review and Meta-Analysis.

Authors:  Sungmin Woo; Sangwon Han; Tae-Hyung Kim; Chong Hyun Suh; Antonio C Westphalen; Hedvig Hricak; Michael J Zelefsky; Hebert Alberto Vargas
Journal:  AJR Am J Roentgenol       Date:  2019-12-04       Impact factor: 3.959

2.  Biochemical recurrence prediction after radiotherapy for prostate cancer with T2w magnetic resonance imaging radiomic features.

Authors:  Catarina Dinis Fernandes; Cuong V Dinh; Iris Walraven; Stijn W Heijmink; Milena Smolic; Joost J M van Griethuysen; Rita Simões; Are Losnegård; Henk G van der Poel; Floris J Pos; Uulke A van der Heide
Journal:  Phys Imaging Radiat Oncol       Date:  2018-08-06

3.  Propensity score-matched analysis comparing dose-escalated intensity-modulated radiation therapy versus external beam radiation therapy plus high-dose-rate brachytherapy for localized prostate cancer.

Authors:  Jörg Tamihardja; Ingulf Lawrenz; Paul Lutyj; Stefan Weick; Matthias Guckenberger; Bülent Polat; Michael Flentje
Journal:  Strahlenther Onkol       Date:  2022-05-12       Impact factor: 4.033

4.  Prognostic value of seminal vesicle invasion on preoperative multi-parametric magnetic resonance imaging in pathological stage T3b prostate cancer.

Authors:  Jung Kwon Kim; Hak Jong Lee; Sung Il Hwang; Gheeyoung Choe; Sung Kyu Hong
Journal:  Sci Rep       Date:  2020-03-30       Impact factor: 4.379

5.  PCaGuard: A Software Platform to Support Optimal Management of Prostate Cancer.

Authors:  Ioannis Tamposis; Ioannis Tsougos; Anastasios Karatzas; Katerina Vassiou; Marianna Vlychou; Vasileios Tzortzis
Journal:  Appl Clin Inform       Date:  2022-01-19       Impact factor: 2.342

  5 in total

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