Accuracy and prognostic value of radiological lymph node features in variant histologies of bladder cancer

Abstract

Purpose To provide first evidence of lymph node (LN) staging using CT scan and its prognostic value in variant histologies of bladder cancer. This knowledge may optimize patient management with variant histologies based on CT morphological findings. Methods Preoperative CT scans of patients with variant histologies who underwent RC between 2004 and 2019 were reanalyzed by two independent radiologists in a blinded review process. Specificity, sensitivity, and accuracy for LN staging as well as LN characteristics were evaluated. Correlation with survival was investigated by Kaplan–Meier method, log-rank test and multivariate analysis. Results 1361 patients with primary tumor of the bladder underwent RC, of which 163 (12%) patients revealed variant histologies. 65 (47.8%) patients have shown an urothelial variant (UV) and 71 (52.2%) a non-urothelial variant (NUV). LN metastases were found in 18 (27.7%) patients with UV and 21 (29.6%) patients with NUV. The accuracy to detect LN metastasis for all variant histologies was 62% with a sensitivity of 46% and a specificity of 70%. Subgroups of UV and NUV revealed an accuracy of 67% and 57%. An increased number of regional LN (HR 2.8; 1.34–6.18) and the loss of fatty hilum (HR 0.36, 0.17–0.76) were prognostic parameters. In multivariate analysis, a fatty hilum (HR 0.313, 0.104–0.945) and the presence of lymph node metastases (HR 2.866, 1.140–7.207) were prognostic. Conclusion This first study on CT morphological behavior of variant histologies revealed an accuracy of UV and NUV comparable to UC with low specificity for all variant histologies. CT scan prior RC should be interpreted in regard to histological subtypes.

Outcomes and Prognostic Factors of Patients with Urothelial Carcinoma Undergoing Radical Cystectomy and pT0 in the Final Histology Without Neoadjuvant Chemotherapy

“…The precise detection of lymphovascular invasion at the time of diagnosis is currently still challenging, as preoperative imaging modalities have a low staging accuracy. 21,22 The rate of occult lymph node metastases is high (4%) and important to consider when counselling patients, because it directly impacts the survival of patients. 23 Apart from initial tumor stage other local individual patient findings may offer insights on potential outcomes of pT0.…”

A radiomics model derived by combination of radiomics signature and clinical risk factors predict of lymph node metastasis for men renal pelvis urothelial carcinoma

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Construction and prognostic value of enhanced CT image omics model for noninvasive prediction of HRG in bladder cancer based on logistic regression and support vector machine algorithm

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