Department of Urology, Shanghai Tenth People's Hospital, Tongji University School of Medicine, No. 301, Middle Yan-Chang Rd., Jing-An District, Shanghai, 200072, China.
Department of Urology, Karamay Central Hospital, No. 67, Middle Zhungaer Rd., Karamay, 834000, Xinjiang, China.
J Endocrinol Invest. 2021 Feb;44(2):287-296. doi: 10.1007/s40618-020-01294-6. Epub 2020 May 30.
To evaluate the effect of peri-prostatic adipose tissue (PPAT) measurements using preoperative MRI on the prediction of prostate cancer (PCa) aggressiveness in men undergoing radical prostatectomy (RP).
We performed a retrospective study on 179 consecutive patients receiving RP from June 2016 to October 2018. Clinical characteristics were collected. PPAT measurements including peri-prostatic fat area (PPFA) and peri-prostatic fat area to prostate area (PA) ratio (PPFA/PA) were calculated by MRI. Multivariable logistic regression analysis was performed to identify independent predictors of PCa lymph node metastasis (LNM). The predictive performance was estimated through ROC curves. Nomograms were created based on the predictors.
Pathologic Gleason score positively correlated with digital rectal examination (DRE), PSA, PPFA/PA, P504S, and Ki-67 (all P < 0.05). ROC curves revealed that high PPFA and high PPFA/PA were associated with LNM (both P < 0.05). Multivariate analysis revealed that high PPFA/PA, pathologic Gleason score, pT stage, and Ki-67 were independently predictive of LNM. The nomograms were created and the C-index was 0.945.
PPFA/PA is an independent predictor for LNM along with Gleason score, pT stage, and Ki-67. PPFA/PA may help predict LNM in men undergoing RP, thus providing adjunctive information for therapeutic strategy and prognosis.
评估术前 MRI 测量前列腺周围脂肪组织(PPAT)对接受根治性前列腺切除术(RP)的男性前列腺癌(PCa)侵袭性的预测效果。
我们对 2016 年 6 月至 2018 年 10 月期间连续接受 RP 的 179 例患者进行了回顾性研究。收集了临床特征。通过 MRI 计算前列腺周围脂肪区(PPFA)和前列腺周围脂肪区与前列腺区的比值(PPFA/PA)等 PPAT 测量值。通过多变量逻辑回归分析确定 PCa 淋巴结转移(LNM)的独立预测因素。通过 ROC 曲线评估预测性能。根据预测因素创建了列线图。
病理 Gleason 评分与直肠指检(DRE)、PSA、PPFA/PA、P504S 和 Ki-67 呈正相关(均 P<0.05)。ROC 曲线显示高 PPFA 和高 PPFA/PA 与 LNM 相关(均 P<0.05)。多变量分析显示高 PPFA/PA、病理 Gleason 评分、pT 分期和 Ki-67 是 LNM 的独立预测因素。创建了列线图,C 指数为 0.945。
PPFA/PA 与 Gleason 评分、pT 分期和 Ki-67 一样,是 LNM 的独立预测因子。PPFA/PA 可能有助于预测接受 RP 的男性的 LNM,从而为治疗策略和预后提供辅助信息。