ArticleCurrent urology2020
Preoperative Clinical Predictors of Lymphovascular Invasion of Bladder Tumors at Transurethral Resection Pathology.
Article in Current urology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.
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2 citing papers in PubMed, 3 citations in OpenAlex.
- MRI-based deep learning combined with radiomics for the preoperative prediction of lymphovascular invasion in patients with bladder cancer.Cancer imaging : the official publication of the International Cancer Imaging Society · 2026Article
- Predicting the Lymphovascular Invasion in Carcinoma Bladder at Transurethral Resection.Cureus · 2024Article
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9 authors at 3 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundThe 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.
objectivesThe present study aimed to identify clinical predictors associated with the risk of bladder cancer with LVI before a first TURBT.
methodsA 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.
resultsUnivariate 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.
conclusionsThese 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.
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