Periprostatic Fat Thickness on MRI is an Independent Predictor of Time to Castration-resistant Prostate Cancer in Chinese Patients With Newly Diagnosed Prostate Cancer Treated With Androgen Deprivation Therapy

被引:14
作者
Huang, Haichao [1 ]
Chen, Shi [2 ]
Li, Wei [1 ]
Bai, Peide [1 ]
Wu, Xiurong [2 ]
Xing, Jinchun [1 ]
机构
[1] Xiamen Univ, Dept Urol, Affiliated Hosp 1, 55 Zhenhai Rd, Xiamen 361003, Fujian, Peoples R China
[2] Xiamen Univ, Dept Radiol, Affiliated Hosp 1, Xiamen, Fujian, Peoples R China
关键词
Androgen-deprivation therapy; Body fat patterning; Castration-resistant prostatic cancer; Magnetic resonance imaging; Prostate cancer; RADICAL PROSTATECTOMY; DISEASE PROGRESSION; ANTIGEN NADIR; RISK-FACTOR; OBESITY; SURVIVAL; MEN;
D O I
10.1016/j.clgc.2019.06.001
中图分类号
R73 [肿瘤学];
学科分类号
100214 ;
摘要
The aim of this study was to evaluate the association between periprostatic fat thickness (PPFT) and the prognosis of patients with prostate cancer (PCa) treated with androgen deprivation therapy. In total, 150 patients with PCa were enrolled. Patients with high PPFT showed a shorter progression-free survival than patients with low PPFT. PPFT is a significant predictor of survival in patients with PCa receiving androgen deprivation therapy. Background: The aim of this study was to evaluate the association between periprostatic fat thickness (PPFT) and time to castration-resistant prostate cancer (CRPC) in newly diagnosed patients with prostate cancer (PCa) treated with androgen deprivation therapy (ADT). Patients and Methods: We retrospectively reviewed the medical records of 150 patients with PCa treated with ADT at our hospital between June 2011 and June 2017. PPFT measured on magnetic resonance imaging (MRI) and PPFT/periprostatic fat volume (PPFV) measured on computed tomography (CT) were evaluated. Kaplan-Meier curves and log-rank tests were used to assess significant differences in time to CRPC between the 2 groups (high PPFT vs. low PPFT, determined by PPFT > or < the median value, respectively). Univariable and multivariable Cox regression analyses were employed to identify the potential prognostic factors for survival. Results: The median value of PPFT measured on MRI was 0.555 cm. PPFT was significantly associated with PPFV measured on CT images (with a correlation coefficient of 0.825; P <.001). A total of 66 patients (44%) progressed to CRPC during the follow-up period. Patients with high PPFT (measured on MRI) showed a significantly shorter PFS than patients with low PPFT. Multivariable Cox analysis demonstrated that T stage, presence of distant metastasis, shorter time to prostate-specific antigen nadir, higher prostate-specific antigen nadir, Gleason score (greater than 4 thorn 4), and high PPFT were significantly associated with shorter PFS. Conclusions: PPFT is significantly associated with PPFV measured on CT images. PPFT measured on MRI is a readily available and significant predictor of time to CRPC in patients with PCa receiving ADT as the primary treatment. (C) 2019 Elsevier Inc. All rights reserved.
引用
收藏
页码:E1036 / E1047
页数:12
相关论文
共 31 条
[1]   Pathologic variables and recurrence rates as related to obesity and race in men with prostate cancer undergoing radical prostatectomy [J].
Amling, CL ;
Riffenburgh, RH ;
Sun, L ;
Moul, JW ;
Lance, RS ;
Kusuda, L ;
Sexton, WJ ;
Soderdahl, DW ;
Donahue, TF ;
Foley, JP ;
Chung, AK ;
McLeod, DG .
JOURNAL OF CLINICAL ONCOLOGY, 2004, 22 (03) :439-445
[2]  
[Anonymous], CHINA CANC
[3]  
Baillargeon J, 2006, INT J ONCOL, V28, P737
[4]   Measurement of peri-prostatic fat thickness using transrectal ultrasonography (TRUS): a new risk factor for prostate cancer [J].
Bhindi, Bimal ;
Trottier, Greg ;
Elharram, Malik ;
Fernandes, Kimberly A. ;
Lockwood, Gina ;
Toi, Ants ;
Hersey, Karen M. ;
Finelli, Antonio ;
Evans, Andrew ;
van der Kwast, Theodorus H. ;
Fleshner, Neil E. .
BJU INTERNATIONAL, 2012, 110 (07) :980-986
[5]   Overweight, obesity, and mortality from cancer in a prospectively studied cohort of US adults [J].
Calle, EE ;
Rodriguez, C ;
Walker-Thurmond, K ;
Thun, MJ .
NEW ENGLAND JOURNAL OF MEDICINE, 2003, 348 (17) :1625-1638
[6]   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 [J].
Cao, Yudong ;
Cao, Min ;
Chen, Yuke ;
Yu, Wei ;
Fan, Yu ;
Liu, Qing ;
Gao, Ge ;
Zhao, Zheng ;
Wang, Xiaoying ;
Jin, Jie .
ONCOTARGET, 2017, 8 (27) :44040-44049
[7]   Normalized periprostatic fat MRI measurements can predict prostate cancer aggressiveness in men undergoing radical prostatectomy for clinically localised disease [J].
Dahran, Naief ;
Szewczyk-Bieda, Magdalena ;
Wei, Cheng ;
Vinnicombe, Sarah ;
Nabi, Ghulam .
SCIENTIFIC REPORTS, 2017, 7
[8]   New response evaluation criteria in solid tumours: Revised RECIST guideline (version 1.1) [J].
Eisenhauer, E. A. ;
Therasse, P. ;
Bogaerts, J. ;
Schwartz, L. H. ;
Sargent, D. ;
Ford, R. ;
Dancey, J. ;
Arbuck, S. ;
Gwyther, S. ;
Mooney, M. ;
Rubinstein, L. ;
Shankar, L. ;
Dodd, L. ;
Kaplan, R. ;
Lacombe, D. ;
Verweij, J. .
EUROPEAN JOURNAL OF CANCER, 2009, 45 (02) :228-247
[9]   Periprostatic Adipose Tissue as a Modulator of Prostate Cancer Aggressiveness [J].
Finley, David S. ;
Calvert, Valerie S. ;
Inokuchi, Junichi ;
Lau, Alice ;
Narula, Navneet ;
Petricoin, Emanuel F. ;
Zaldivar, Frank ;
Santos, Rosanne ;
Tyson, Darren R. ;
Ornstein, David K. .
JOURNAL OF UROLOGY, 2009, 182 (04) :1621-1627
[10]   Obesity does not predispose to more aggressive prostate cancer either at biopsy or radical prostatectomy in European men [J].
Gallina, Andrea ;
Karakiewicz, Pierre I. ;
Hutterer, Georg C. ;
Chun, Felix K. -H. ;
Briganti, Alberto ;
Walz, Jochen ;
Antebi, Elie ;
Shariat, Shahrokh F. ;
Suardi, Nazareno ;
Graefen, Markus ;
Erbersdobler, Andreas ;
Salonia, Andrea ;
Rigatti, Patrizio ;
Huland, Hartwig ;
Montorsi, Francesco .
INTERNATIONAL JOURNAL OF CANCER, 2007, 121 (04) :791-795