Literature DB >> 25791578

Prostate MRI can reduce overdiagnosis and overtreatment of prostate cancer.

Andrew B Rosenkrantz1, Samir S Taneja2.   

Abstract

The contemporary management of prostate cancer (PCa) has been criticized as fostering overdetection and overtreatment of indolent disease. In particular, the historical inability to identify those men with an elevated PSA who truly warrant biopsy, and, for those needing biopsy, to localize aggressive tumors within the prostate, has contributed to suboptimal diagnosis and treatment strategies. This article describes how modern multi-parametric MRI of the prostate addresses such challenges and reduces both overdiagnosis and overtreatment. The central role of diffusion-weighted imaging (DWI) in contributing to MRI's current impact is described. Prostate MRI incorporating DWI achieves higher sensitivity than standard systematic biopsy for intermediate-to-high risk tumor, while having lower sensitivity for low-grade tumors that are unlikely to impact longevity. Particular applications of prostate MRI that are explored include selection of a subset of men with clinical suspicion of PCa to undergo biopsy as well as reliable confirmation of only low-risk disease in active surveillance patients. Various challenges to redefining the standard of care to incorporate solely MRI-targeted cores, without concomitant standard systematic cores, are identified. These include needs for further technical optimization of current systems for performing MRI-targeted biopsies, enhanced education and expertise in prostate MRI among radiologists, greater standardization in prostate MRI reporting across centers, and recognition of the roles of pre-biopsy MRI and MRI-targeted biopsy by payers. Ultimately, it is hoped that the medical community in the United States will embrace prostate MRI and MRI-targeted biopsy, allowing all patients with known or suspected prostate cancer to benefit from this approach.
Copyright © 2015 AUR. Published by Elsevier Inc. All rights reserved.

Entities:  

Keywords:  Prostate cancer; active surveillance; diffusion-weighted imaging; overdiagonsis; overtreatment; prostate MRI; prostate biopsy

Mesh:

Year:  2015        PMID: 25791578     DOI: 10.1016/j.acra.2015.02.006

Source DB:  PubMed          Journal:  Acad Radiol        ISSN: 1076-6332            Impact factor:   3.173


  9 in total

1.  Case - Foamy, high-grade prostatic intraepithelial neoplasia: A false positive for prostate cancer on multiparametric magnetic resonance imaging?

Authors:  Thenappan Chandrasekar; Hanan Goldberg; Zachary Klaassen; Nathan Perlis; Antonio Finelli; Andrew Evans; Sangeet Ghai
Journal:  Can Urol Assoc J       Date:  2018-02-06       Impact factor: 1.862

2.  Targeted Contrast Agent Specific to an Oncoprotein in Tumor Microenvironment with the Potential for Detection and Risk Stratification of Prostate Cancer with MRI.

Authors:  Zheng Han; Yajuan Li; Sarah Roelle; Zhuxian Zhou; Yuchi Liu; Rob Sabatelle; Aidan DeSanto; Xin Yu; Hui Zhu; Cristina Magi-Galluzzi; Zheng-Rong Lu
Journal:  Bioconjug Chem       Date:  2017-03-09       Impact factor: 4.774

3.  A Multifunctional Contrast Agent for 19F-Based Magnetic Resonance Imaging.

Authors:  Liang Du; Shannon Helsper; Neda Arabzadeh Nosratabad; Wentao Wang; Debra Ann Fadool; Catherine Amiens; Samuel Grant; Hedi Mattoussi
Journal:  Bioconjug Chem       Date:  2022-04-21       Impact factor: 6.069

4.  18F-Choline PET/mpMRI for Detection of Clinically Significant Prostate Cancer: Part 1. Improved Risk Stratification for MRI-Guided Transrectal Prostate Biopsies.

Authors:  Matthew S Davenport; Jeffrey S Montgomery; Lakshmi Priya Kunju; Javed Siddiqui; Prasad R Shankar; Thekkelnaycke Rajendiran; Xia Shao; Eunjee Lee; Brian Denton; Christine Barnett; Morand Piert
Journal:  J Nucl Med       Date:  2019-08-16       Impact factor: 11.082

5.  Gleason Probability Maps: A Radiomics Tool for Mapping Prostate Cancer Likelihood in MRI Space.

Authors:  Sean D McGarry; John D Bukowy; Kenneth A Iczkowski; Jackson G Unteriner; Petar Duvnjak; Allison K Lowman; Kenneth Jacobsohn; Mark Hohenwalter; Michael O Griffin; Alex W Barrington; Halle E Foss; Tucker Keuter; Sarah L Hurrell; William A See; Marja T Nevalainen; Anjishnu Banerjee; Peter S LaViolette
Journal:  Tomography       Date:  2019-03

6.  Extent and predictors of grade upgrading and downgrading in an Australian cohort according to the new prostate cancer grade groupings.

Authors:  Kerri Beckmann; Michael O'Callaghan; Andrew Vincent; Penelope Cohen; Martin Borg; David Roder; Sue Evans; Jeremy Millar; Kim Moretti
Journal:  Asian J Urol       Date:  2019-03-07

7.  Multiparametric Prostate MRI in Biopsy-Naïve Men: A Prospective Evaluation of Performance and Biopsy Strategies.

Authors:  Brage Krüger-Stokke; Helena Bertilsson; Sverre Langørgen; Torill Anita Eidhammer Sjøbakk; Tone Frost Bathen; Kirsten Margrete Selnæs
Journal:  Front Oncol       Date:  2021-10-14       Impact factor: 6.244

8.  Accuracy of tumor segmentation from multi-parametric prostate MRI and 18F-choline PET/CT for focal prostate cancer therapy applications.

Authors:  Morand Piert; Prasad R Shankar; Jeffrey Montgomery; Lakshmi Priya Kunju; Virginia Rogers; Javed Siddiqui; Thekkelnaycke Rajendiran; Jason Hearn; Arvin George; Xia Shao; Matthew S Davenport
Journal:  EJNMMI Res       Date:  2018-03-27       Impact factor: 3.138

9.  Radio-pathomic mapping model generated using annotations from five pathologists reliably distinguishes high-grade prostate cancer.

Authors:  Sean D McGarry; John D Bukowy; Kenneth A Iczkowski; Allison K Lowman; Michael Brehler; Samuel Bobholz; Andrew Nencka; Alex Barrington; Kenneth Jacobsohn; Jackson Unteriner; Petar Duvnjak; Michael Griffin; Mark Hohenwalter; Tucker Keuter; Wei Huang; Tatjana Antic; Gladell Paner; Watchareepohn Palangmonthip; Anjishnu Banerjee; Peter S LaViolette
Journal:  J Med Imaging (Bellingham)       Date:  2020-09-09
  9 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.