Literature DB >> 25539273

Periprostatic fat thickness on MRI: correlation with Gleason score in prostate cancer.

Sungmin Woo1, Jeong Yeon Cho, Sang Youn Kim, Seung Hyup Kim.   

Abstract

OBJECTIVE: The purpose of this study was to retrospectively evaluate the relationship between periprostatic fat thickness on MRI and Gleason score of prostate cancer using radical prostatectomy as the reference standard.
MATERIALS AND METHODS: This study included 190 patients (mean age [± SD], 66.9 ± 7.0 years) who underwent MRI before radical prostatectomy. Two radiologists measured the subcutaneous and periprostatic fat thickness on midsagittal T2-weighted MR images as the shortest perpendicular distance from the pubic symphysis to the skin and prostate, respectively. Subcutaneous and periprostatic fat along with age, height, weight, body mass index, and prostate-specific antigen (PSA) were correlated with Gleason score by using Pearson (r) or Spearman (ρ) correlation coefficients and compared between low- (Gleason score = 6) and high- (≥ 7) grade prostate cancer by using univariate and multivariate logistic regression analyses.
RESULTS: The mean subcutaneous and periprostatic fat thicknesses were 24.0 ± 8.4 mm and 5.0 ± 2.0 mm, respectively. The Gleason score was significantly correlated with age (ρ = 0.181, p = 0.012), PSA (ρ = 0.345, p < 0.001), and periprostatic fat thickness (ρ = 0.228, p = 0.002). Multivariate analysis revealed that age, height, PSA level, and periprostatic fat thickness (odds ratio, 1.331; 95% CI, 1.063-1.666) were independently predictive of high-grade (p ≤ 0.013) disease.
CONCLUSION: Periprostatic fat thickness on MRI showed a mild to modest but significant correlation with Gleason score of prostate cancer with radical prostatectomy as the reference standard and was an independent predictive factor for high-grade prostate cancer.

Entities:  

Keywords:  Gleason score; MRI; periprostatic fat; prostate cancer; radical prostatectomy

Mesh:

Year:  2015        PMID: 25539273     DOI: 10.2214/AJR.14.12689

Source DB:  PubMed          Journal:  AJR Am J Roentgenol        ISSN: 0361-803X            Impact factor:   3.959


  15 in total

1.  Supplemental estrogen and caloric restriction reduce obesity-induced periprostatic white adipose inflammation in mice.

Authors:  Priya Bhardwaj; Takahiro Ikeda; Xi Kathy Zhou; Hanhan Wang; Xi Emily Zheng; Dilip D Giri; Olivier Elemento; Akanksha Verma; Miki Miyazawa; Sushmita Mukherjee; Domenick J Falcone; Nils K Wendel; Douglas S Scherr; Andrew J Dannenberg
Journal:  Carcinogenesis       Date:  2019-07-20       Impact factor: 4.944

2.  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

Review 3.  Contribution of Adipose Tissue to Development of Cancer.

Authors:  Alyssa J Cozzo; Ashley M Fuller; Liza Makowski
Journal:  Compr Physiol       Date:  2017-12-12       Impact factor: 9.090

4.  PI-RADS version 2 for prediction of pathological downgrading after radical prostatectomy: a preliminary study in patients with biopsy-proven Gleason Score 7 (3+4) prostate cancer.

Authors:  Sungmin Woo; Sang Youn Kim; Joongyub Lee; Seung Hyup Kim; Jeong Yeon Cho
Journal:  Eur Radiol       Date:  2016-02-04       Impact factor: 5.315

5.  Obesity does not promote tumorigenesis of localized patient-derived prostate cancer xenografts.

Authors:  Jennifer C Y Lo; Ashlee K Clark; Natasha Ascui; Mark Frydenberg; Gail P Risbridger; Renea A Taylor; Matthew J Watt
Journal:  Oncotarget       Date:  2016-07-26

6.  Periprostatic adipose inflammation is associated with high-grade prostate cancer.

Authors:  A Gucalp; N M Iyengar; X K Zhou; D D Giri; D J Falcone; H Wang; S Williams; M D Krasne; I Yaghnam; B Kunzel; P G Morris; L W Jones; M Pollak; V P Laudone; C A Hudis; H I Scher; P T Scardino; J A Eastham; A J Dannenberg
Journal:  Prostate Cancer Prostatic Dis       Date:  2017-06-27       Impact factor: 5.554

7.  The combination of prostate imaging reporting and data system version 2 (PI-RADS v2) and periprostatic fat thickness on multi-parametric MRI to predict the presence of prostate cancer.

Authors:  Yudong Cao; Min Cao; Yuke Chen; Wei Yu; Yu Fan; Qing Liu; Ge Gao; Zheng Zhao; Xiaoying Wang; Jie Jin
Journal:  Oncotarget       Date:  2017-07-04

8.  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

9.  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

Review 10.  Linking obesogenic dysregulation to prostate cancer progression.

Authors:  Renea A Taylor; Jennifer Lo; Natasha Ascui; Matthew J Watt
Journal:  Endocr Connect       Date:  2015-12       Impact factor: 3.335

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