Literature DB >> 27592523

Periprostatic Fat: A Risk Factor for Prostate Cancer?

Wei Phin Tan1, Carol Lin2, Meri Chen2, Leslie A Deane3.   

Abstract

OBJECTIVE: To evaluate whether periprostatic fat volume and periprostatic fat ratio as determined by multiparametric magnetic resonance imaging (mpMRI) correlate with the presence of high-grade prostate cancer.
MATERIALS AND METHODS: A total of 295 consecutive patients (median age: 64, range: 38-84) underwent mpMRI of the prostate gland between August 2013 and February 2015. All patients underwent a 3 Tesla mpMRI. Using DynaCAD (Invivo, Gainesville, FL), we calculated the prostate volume and volume of the periprostatic fat seen on mpMRI. The periprostatic fat ratio was calculated using the formula periprostatic fat volume/prostate volume.
RESULTS: A higher periprostatic fat volume (P <.001) and a higher periprostatic fat ratio (P <.001) were significantly associated with a higher Gleason score. Periprostatic fat ratio is a better predictor of higher Gleason score compared with periprostatic fat volume (P < .001). There was no correlation observed between periprostatic fat ratio and prostate-specific antigen (median: 7.34, range: 0.36-59.7, P = .274), age (median: 64, range: 38-84, P = .665), or body mass index (median: 28.33, range: 17.99-45.44, P = .310). Patients with a higher periprostatic fat ratio were more likely to undergo intervention for prostate cancer.
CONCLUSION: A higher periprostatic fat ratio is significantly associated with a higher Gleason score. Periprostatic fat ratio is a better predictor of higher Gleason score compared with periprostatic fat volume and may be an important risk factor in diagnosing patients with higher grade prostate cancer.
Copyright © 2016 Elsevier Inc. All rights reserved.

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Year:  2016        PMID: 27592523     DOI: 10.1016/j.urology.2016.07.042

Source DB:  PubMed          Journal:  Urology        ISSN: 0090-4295            Impact factor:   2.649


  6 in total

1.  Pre-treatment ratio of periprostatic to subcutaneous fat thickness on MRI is an independent survival predictor in hormone-naïve men with advanced prostate cancer.

Authors:  Takeshi Sasaki; Yusuke Sugino; Manabu Kato; Kouhei Nishikawa; Hideki Kanda
Journal:  Int J Clin Oncol       Date:  2019-10-15       Impact factor: 3.402

2.  Normalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease.

Authors:  Naief Dahran; Magdalena Szewczyk-Bieda; Cheng Wei; Sarah Vinnicombe; Ghulam Nabi
Journal:  Sci Rep       Date:  2017-07-05       Impact factor: 4.379

3.  Phase II prospective randomized trial of weight loss prior to radical prostatectomy.

Authors:  Susanne M Henning; Colette Galet; Kiran Gollapudi; Joshua B Byrd; Pei Liang; Zhaoping Li; Tristan Grogan; David Elashoff; Clara E Magyar; Jonathan Said; Pinchas Cohen; William J Aronson
Journal:  Prostate Cancer Prostatic Dis       Date:  2017-12-04       Impact factor: 5.554

4.  Peri-prostatic Fat Volume Measurement as a Predictive Tool for Castration Resistance in Advanced Prostate Cancer.

Authors:  Mark Salji; Jane Hendry; Amit Patel; Imran Ahmad; Colin Nixon; Hing Y Leung
Journal:  Eur Urol Focus       Date:  2017-03-01

Review 5.  Thromboinflammatory Processes at the Nexus of Metabolic Dysfunction and Prostate Cancer: The Emerging Role of Periprostatic Adipose Tissue.

Authors:  Ibrahim AlZaim; Aya Al-Saidi; Safaa H Hammoud; Nadine Darwiche; Yusra Al-Dhaheri; Ali H Eid; Ahmed F El-Yazbi
Journal:  Cancers (Basel)       Date:  2022-03-25       Impact factor: 6.639

6.  Prognostic Value of CT-Attenuation and 18F-Fluorodeoxyglucose Uptake of Periprostatic Adipose Tissue in Patients with Prostate Cancer.

Authors:  Jeong Won Lee; Youn Soo Jeon; Ki Hong Kim; Hee Jo Yang; Chang Ho Lee; Sang Mi Lee
Journal:  J Pers Med       Date:  2020-10-22
  6 in total

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