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Article Abstract

Objectives: To evaluate whether computed tomography (CT) scans should be performed before or after transurethral resection of bladder tumour (TURBT) for accurate lymph node staging in clinically lymph node-positive bladder cancer (BCa). Additionally, to identify patient factors that can aid in predicting lymph node metastasis.

Patients And Methods: In this retrospective, multicentre study, we analysed patients with cN+ M0 BCa staged by CT and treated with upfront radical cystectomy (RC) and pelvic lymph node dissection. We stratified patients by the interval between TURBT and CT into three groups: (1) before TURBT; (2) within 30 days after TURBT; and (3) more than 30 days post-TURBT. Staging accuracy, defined as concordance between clinical and pathological lymph node status, was evaluated. We utilised logistic regression analyses to identify patient factors, including the optimal timing of staging, in predicting pathological lymph node status at RC.

Results: Among 183 patients with cN+ disease, 90 (49%) had pN0 disease at RC. Of these, 40, 36 and 14 were staged before TURBT, within 30 days after TURBT, and more than 30 days post-TURBT, respectively (P = 0.2). Pathological downstaging was most common in cN1 (22%) and cN2 (20%) disease. The overall concordance rate was 23%. The timing of staging did not correlate with pathological lymph node status on logistic regression (all P > 0.05). Lymphovascular invasion (LVI) at TURBT was associated with pN status (odds ratio 4.25, confidence interval 2.02-9.34; P < 0.001) at RC.

Conclusion: Overall, we found no association between the timing of CT-based staging and pathological lymph node metastases in cN+ BCa. The data suggest that performing a TURBT prior to staging does not increase the finding of false-positive nodes on imaging. LVI was the only factor at the time of TURBT associated with pathological lymph node metastasis at RC. Limitations include the multicentre retrospective design and the inclusion of only patients with clinically node-positive disease.

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http://dx.doi.org/10.1111/bju.16851DOI Listing

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