Mp49-03 Influencing Factors of Mri-Measured Periprostatic Adipose Tissue Thickness: A Retrospective Study

You have accessJournal of UrologyProstate Cancer: Detection & Screening IV (MP49)1 May 2024MP49-03 INFLUENCING FACTORS OF MRI-MEASURED PERIPROSTATIC ADIPOSE TISSUE THICKNESS: A RETROSPECTIVE STUDY Tianyu Xiong, Fang Cao, Guangyi Zhu, Xiaobo Ye, Zhemin Lin, Yun Cui, Huibo Zhang, and Yinong Niu Tianyu XiongTianyu Xiong , Fang CaoFang Cao , Guangyi ZhuGuangyi Zhu , Xiaobo YeXiaobo Ye , Zhemin LinZhemin Lin , Yun CuiYun Cui , Huibo ZhangHuibo Zhang , and Yinong NiuYinong Niu View All Author Informationhttps://doi.org/10.1097/01.JU.0001008696.31772.28.03AboutPDF ToolsAdd to favoritesDownload CitationsTrack CitationsPermissionsReprints ShareFacebookLinked InTwitterEmail Abstract INTRODUCTION AND OBJECTIVE: Periprostatic adipose tissue (PPAT) is considered as a special type of visceral adipose tissue and has been reported to be involved in prostate cancer (PCa) development. However, the biological characteristics of PPAT are still not clear. In this study, we analyzed characteristics of MRI-measured PPAT thickness and influencing factors associated with this imaging parameter. METHODS: We retrospectively analyzed data of 801 males who underwent prostate biopsy. Based on MRI-measured PPAT thickness, the patients were divided into the high-PPAT group (PPAT thickness≥4 mm, n=420) and low-PPAT group (PPAT thickness<4 mm, n=381). Subcutaneous adipose tissue (SAT) thickness was measured as reference. Clinical parameters were compared between the two groups. Spearman correlation analysis and logistic regression analysis were performed to identify potential influencing factors for PPAT thickness. RESULTS: The high-PPAT group showed significantly lower BMI (24.49 kg/m2 vs. 25.04 kg/m2, p=0.006), lower SAT thickness (27.46 mm vs. 30.08 mm, p<0.001), smaller prostate volume (33.67 cm3 vs. 49.50 cm3, p<0.001) and lower free/total PSA ratio (12.33% vs. 16.33%, p<0.001). More PCa (68.1% vs. 37.3%, p<0.001), especially those with higher Gleason score, were detected in the high-PPAT group. Spearman correlation analysis showed PPAT thickness was negatively correlated with BMI (ρ = -0.097, p=0.006) and SAT thickness (ρ = -0.163, p<0.001), and showed no significant correlation with serum triglyceride level (p=0.585). Logistic regression analyses showed SAT thickness, biopsy Gleason score and prostate volume were predictive factors (all p-values <0.05) for high PPAT thickness (≥4 mm). CONCLUSIONS: PPAT is less affected by overall obesity degree, and shows correlations with some characteristics of PCa, such as prostate volume and Gleason grading. This may provide evidence for the association between PPAT and PCa development. Download PPT Source of Funding: This work was supported by National Natural Science Foundation of China (grant numbers: 82170783) © 2024 by American Urological Association Education and Research, Inc.FiguresReferencesRelatedDetails Volume 211Issue 5SMay 2024Page: e782 Advertisement Copyright & Permissions© 2024 by American Urological Association Education and Research, Inc.Metrics Author Information Tianyu Xiong More articles by this author Fang Cao More articles by this author Guangyi Zhu More articles by this author Xiaobo Ye More articles by this author Zhemin Lin More articles by this author Yun Cui More articles by this author Huibo Zhang More articles by this author Yinong Niu More articles by this author Expand All Advertisement PDF downloadLoading ...