Radiology Department, Koru Hospital, Kızılırmak Mah. 1450. Sokak No:13 Cukurambar, 06530, Ankara, Turkey.
Urology Department, Dr. Abdurrahman Yurtaslan Ankara Oncology Training and Research Hospital, Demetevler, Vatan Cd., 06200, Yenimahalle, Ankara, Turkey.
Int Urol Nephrol. 2023 Dec;55(12):3111-3117. doi: 10.1007/s11255-023-03750-7. Epub 2023 Aug 21.
To evaluate the diagnostic performance of pelvimetric measurements, in particular the pelvic dimension index (PDI)/prostate volume (PV) ratio (PDI/PV), in predicting positive surgical margin (PSM) in prostate cancer (PC).
127 patients who had pre-operative pelvic imaging were included in this study. Demographic and clinical data were recorded. Apical depth (AD), interspinous distance (ISD), intertuberous distance (ITD), bony femoral width (BFW), soft-tissue width (SW), symphysis angle (SA), anteroposterior diameter of the pelvic inlet (API), anteroposterior diameter of the pelvic mid-plane (APM), anteroposterior diameter of the pelvic outlet (APO), pelvic depth (PD), bony width index (BWI), soft tissue width index (SWI), pelvic cavity index (PCI), PDI and PV were measured on MRI or CT. Using PDI and PV, we developed a new parameter of "PDI to PV ratio" (PDI/PV). Logistic regression analysis was used to determine the predictive potential of variables in detection of PSM.
The AD, PV, SA and total prostate specific antigen (PSA) were significantly higher in PSM( +), while PDI, BWI, SWI, API, PDI/PV and PD were significantly lower in PSM( +) (p < 0.05). In multivariate analysis, PDI/PV ratio and clinical stage were all significant predictor of PSM, where PDI/PV ratio was the strongest predictor, followed by clinical stage.
Pelvimetric measurements indicating deep location of the prostatic apex rather than pelvic width are more effective in predicting PSM. Prediction of PSM with pelvimetric measurements, in particular PDI/PV ratio, may be helpful for surgical planning in preoperative period.
评估骨盆测量指标,特别是骨盆维度指数(PDI)/前列腺体积(PV)比值(PDI/PV)在预测前列腺癌(PC)中阳性手术切缘(PSM)的诊断性能。
本研究纳入了 127 例术前进行骨盆影像学检查的患者。记录了患者的人口统计学和临床数据。测量了 MRI 或 CT 上的前列腺顶点深度(AD)、棘突间距离(ISD)、坐骨结节间距离(ITD)、骨性股宽(BFW)、软组织宽(SW)、耻骨角(SA)、骨盆入口前后径(API)、骨盆中平面前后径(APM)、骨盆出口前后径(APO)、骨盆深度(PD)、骨性宽度指数(BWI)、软组织宽度指数(SWI)、盆腔指数(PCI)、PDI 和 PV。利用 PDI 和 PV,我们开发了一个新的参数“PDI 与 PV 比值”(PDI/PV)。使用逻辑回归分析来确定变量在检测 PSM 中的预测潜力。
在 PSM(+)中,AD、PV、SA 和总前列腺特异抗原(PSA)显著升高,而 PDI、BWI、SWI、API、PDI/PV 和 PD 显著降低(p<0.05)。多变量分析显示,PDI/PV 比值和临床分期都是 PSM 的显著预测因素,其中 PDI/PV 比值是最强的预测因素,其次是临床分期。
表明前列腺顶点位置较深而非骨盆宽度的骨盆测量指标更能有效地预测 PSM。通过骨盆测量指标,特别是 PDI/PV 比值,对 PSM 进行预测可能有助于术前的手术规划。