Bravi Carlo A, Mazzone Elio, Dell'oglio Paolo, Covas Moschovas Marcio, Martini Alberto, Rosiello Giuseppe, Piazza Pietro, Mottaran Angelo, Paciotti Marco, Sarchi Luca, Puliatti Stefano, Knipper Sophie, DE Groote Ruben, Schiavina Riccardo, Rocco Bernando, Galfano Antonio, Briganti Alberto, Montorsi Francesco, Patel Vipul, Mottrie Alexandre
Department of Urology, Onze-Lieve-Vrouwziekenhuis Hospital, Aalst, Belgium -
ORSI Academy, Ghent, Belgium -
Minerva Urol Nephrol. 2023 Apr;75(2):231-234. doi: 10.23736/S2724-6051.22.04992-8. Epub 2022 Oct 26.
In candidates to robot-assisted radical prostatectomy (RARP) for locally advanced (iT3) prostate cancer on preoperative MRI, the performance of MRI for local staging is demonstrably suboptimal, and currently no prediction tools that might help surgeons in preoperative planning are available. We analyzed data of 685 patients with iT3 prostate cancer (PCa) who received RARP at five participating institutions between 2012 and 2020. Multivariable logistic regression model investigated predictors of pT2 disease among variables available before surgery (i.e.: preoperative PSA, biopsy ISUP group, clinical T stage on digital rectal examination-DRE, prostate volume on MRI, PIRADS score of index lesion, seminal vesicles invasion on MRI, location suspicious for T3 disease on MRI). Coefficients from such model were used to build a nomogram to predict organ-confined (i.e. pT2) disease on final pathology. Internal validation was performed using the leave-one-out cross-validation. Median (interquartile range) preoperative PSA was 7.5 (5.2, 11.9) ng/mL, and 280 (41%) and 216 (32%) had biopsy ISUP group 4-5 disease and palpable disease on DRE, respectively. Preoperative MRI was suspicious for iT3 disease on the mid-posterior part of the gland in 485 (71%) men, and 527 (77%) men had a PIRADS 5 lesion. After surgery, a total of 192 (28%) patients had organ-confined disease (i.e. pT2). All variables fitted into the model and were considered to build the nomogram. After internal validation, the AUC was 73% (95% confidence interval: 69%, 77%). Awaiting external validation, we provided data that is relevant to optimize surgical strategy in men diagnosed with iT3 PCa who are scheduled for RARP.
对于术前MRI显示为局部晚期(iT3)前列腺癌且拟行机器人辅助根治性前列腺切除术(RARP)的患者,MRI用于局部分期的表现明显欠佳,目前尚无有助于外科医生进行术前规划的预测工具。我们分析了2012年至2020年间在五家参与机构接受RARP的685例iT3前列腺癌(PCa)患者的数据。多变量逻辑回归模型在手术前可用的变量(即:术前PSA、活检ISUP组、直肠指检-DRE的临床T分期、MRI上的前列腺体积、索引病灶的PIRADS评分、MRI上的精囊侵犯、MRI上T3疾病可疑部位)中研究pT2疾病的预测因素。该模型的系数用于构建列线图,以预测最终病理结果为器官局限性(即pT2)疾病。使用留一法交叉验证进行内部验证。术前PSA的中位数(四分位间距)为7.5(5.2,11.9)ng/mL,分别有280例(41%)和216例(32%)患者活检ISUP组为4-5级疾病且DRE可触及病灶。术前MRI显示485例(71%)男性腺体中后部可疑iT3疾病,527例(77%)男性有PIRADS 5级病灶。手术后,共有192例(28%)患者患有器官局限性疾病(即pT2)。所有变量均纳入模型并用于构建列线图。内部验证后,AUC为73%(95%置信区间:69%,77%)。在等待外部验证期间,我们提供了相关数据,以优化计划接受RARP的iT3 PCa男性患者的手术策略。