Yoneda Kei, Utsumi Takanobu, Wakai Ken, Oka Ryo, Endo Takumi, Yano Masashi, Kamiya Naoto, Hiruta Nobuyuki, Suzuki Hiroyoshi
Department of Urology, Toho University Sakura Medical Center, Shimoshizu, Sakura.
Department of Urology, Chiba University Graduate School of Medicine, Inohana, Chuo-ku, Chiba.
Curr Urol. 2020 Oct;14(3):135-141. doi: 10.1159/000499247. Epub 2020 Oct 13.
The assessment of lymphovascular invasion (LVI) on the specimens of a transurethral resection of bladder tumors (TURBT) is very important for risk stratification and decision-making on further treatment for bladder cancer.
The present study aimed to identify clinical predictors associated with the risk of bladder cancer with LVI before a first TURBT.
A total of 291 patients underwent a first TURBT for bladder cancer at Toho University Sakura Medical Center between January 2012 and December 2016. We analyzed predictors of LVI based on data from 217 patients and predictors of high grade and ≥ pT1 tumors based on data from the medical records of 237 patients for comparison with LVI risk factors.
Univariate analysis significantly associated LVI with episodes of gross hematuria, positive urinary cytology, and larger, non-papillary and sessile tumors. Multivariate analysis selected larger tumors [odds ratio (OR) 1.39; 95 % confidence interval (CI) 1.08-1.78; p = 0.01], and non-papillary (OR 10.05; 95% CI 3.75-26.91; p < 0.01) and sessile (OR 2.65; 95% CI 1.18-5.93; p = 0.02) tumors as significant predictors of LVI. Some predictors such as tumor size and non-papillary tumors overlapped between high-grade and ≥ pT1 bladder cancer.
These predictors can help clinicians to identify patients with, or who are at high-risk for LVI before undergoing a first TURBT and to determine priorities for preoperative evaluation and scheduling consecutive treatments.
经尿道膀胱肿瘤切除术(TURBT)标本中的淋巴管侵犯(LVI)评估对于膀胱癌的风险分层及进一步治疗决策非常重要。
本研究旨在确定首次TURBT前与LVI相关的膀胱癌风险临床预测因素。
2012年1月至2016年12月期间,共有291例患者在东邦大学樱花医学中心接受了首次膀胱癌TURBT。我们基于217例患者的数据分析了LVI的预测因素,并基于237例患者的病历数据分析了高级别和≥pT1肿瘤的预测因素,以与LVI危险因素进行比较。
单因素分析显示,肉眼血尿发作、尿细胞学阳性以及较大、非乳头状和基底样肿瘤与LVI显著相关。多因素分析选择较大肿瘤[比值比(OR)1.39;95%置信区间(CI)1.08 - 1.78;p = 0.01]、非乳头状肿瘤(OR 10.05;95% CI 3.75 - 26.91;p < 0.01)和基底样肿瘤(OR 2.65;95% CI 1.18 - 5.93;p = 0.02)作为LVI的显著预测因素。一些预测因素,如肿瘤大小和非乳头状肿瘤,在高级别和≥pT1膀胱癌之间存在重叠。
这些预测因素可帮助临床医生在首次TURBT前识别患有LVI或有LVI高风险的患者,并确定术前评估的重点和安排后续治疗的优先级。