Department of Urology and Pediatric Urology, Saarland University Medical Center, Universitätsklinikum des Saarlandes, Saarland University, 66421, Homburg/Saar, Germany.
Division of Experimental Oncology/Unit of Urology, Department of Urology, URI, IRCCS San Raffaele Scientific Hospital, Milan, Italy.
World J Urol. 2022 Feb;40(2):349-354. doi: 10.1007/s00345-021-03870-8. Epub 2021 Nov 3.
To evaluate the probability to correctly predict major vascular surgery (MVS) in patients undergoing postchemotherapy retroperitoneal lymph node dissection (PC-RPLND) for testicular cancer.
From a database of 504 RPLNDs performed in 434 patients (2008-2018), 78 patients submitted to PC-RPLND for non-seminoma germ-cell cancer after cisplatin-based chemotherapy with available preoperative CT scans were identified. Second PC-PLNDs (Re-Dos), salvage RPLNDs, or RPLNDs for late-relapse were excluded as well as thoraco-abdominal approaches. Preoperative imaging was reviewed by a urologist and a radiologist blinded to operative details.
Of 78 patients, 16 (20.5%) underwent MVS (caval and/or aortic replacement or reconstruction). On univariable analyses, transversal diameter, sagittal diameter, tumor volume, aorta- and cava-tumor contact angle, poor IGCCCG score, clinical stage III and preoperative positive markers were predictors of MVS (all p values ≤ 0.01). At multivariable analyses aorta- (cut-off 64°) and cava-tumor contact angle (cut-off 98°) and poor IGCCCG score represented the three most important predictors of MVS (all p values ≤ 0.05). The model constructed has a PPV 100%, NPV 87% and an accuracy of 88%.
Presence of aorta-tumor contact angle ≥ 64°, cava-tumor contact angle ≥ 98° and poor IGCCCG score identify correctly 9 out of 10 patients requiring MVS at the time of first PC-RPLND.
评估预测接受化疗后腹膜后淋巴结清扫术(PC-RPLND)治疗睾丸癌患者行大血管手术(MVS)的概率。
从 434 例患者的 504 例 RPLND 数据库中,确定了 78 例接受顺铂为基础的化疗后非精原细胞瘤生殖细胞癌且可获得术前 CT 扫描的患者接受 PC-RPLND。排除了第二次 PC-RPLND(再剂量)、挽救性 RPLND 或晚期复发的 RPLND 以及胸腹联合入路。术前影像学由泌尿科医生和放射科医生进行盲法评估。
在 78 例患者中,16 例(20.5%)行 MVS(腔静脉和/或主动脉置换或重建)。单变量分析显示,横径、矢状径、肿瘤体积、主动脉和腔静脉肿瘤接触角、较差的 IGCCCG 评分、临床分期 III 期和术前阳性标志物是 MVS 的预测因素(所有 p 值均≤0.01)。多变量分析显示,主动脉(临界值 64°)和腔静脉肿瘤接触角(临界值 98°)以及较差的 IGCCCG 评分是 MVS 的三个最重要的预测因素(所有 p 值均≤0.05)。构建的模型具有 100%的阳性预测值、87%的阴性预测值和 88%的准确性。
在首次 PC-RPLND 时,存在主动脉肿瘤接触角≥64°、腔静脉肿瘤接触角≥98°和较差的 IGCCCG 评分,可正确识别 90%的需要行 MVS 的患者。