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Discrimination of T-Stage Using Tumor Weight and Size: A Potential Approach to Guide Perioperative Decision-Making in
Karl Tully1, Henning Bahlburg1, Moritz J Reike1
1Department of Urology and Neurourology, Marien Hospital Herne, Ruhr-University Bochum, Bochum, Germany.
Urologia Internationalis
|December 16, 2024
Summary
Tumor size and weight effectively predict bladder cancer stage, while density does not. These metrics can improve objective measurement of tumor burden and guide treatment decisions.
Area of Science:
- Urology
- Oncology
- Medical Imaging
Background:
- Bladder cancer (BCa) staging is crucial for treatment.
- Objective measurement of tumor extent is needed to reduce variability.
Purpose of the Study:
- To evaluate tumor size, weight, and density for predicting pathological bladder cancer stage.
- To minimize inter-observer variability in tumor size estimation.
- To provide an objective measure for local tumor growth.
Main Methods:
- Analysis of 588 patients undergoing transurethral resection of bladder tumor (TUR-BT).
- Comparison of tumor size, weight, and density between non-muscle-invasive BCa (NMIBC) and muscle-invasive BCa (MIBC).
- Multivariable logistic regression models to assess predictive value for T1 NMIBC and MIBC.
Main Results:
- Higher tumor size and weight were significantly associated with MIBC and T1 NMIBC.
- Lower tumor density was significantly associated with MIBC and T1 NMIBC.
- Tumor size and weight demonstrated predictive power for advanced tumor stages.
Conclusions:
- Tumor size and weight are valuable predictors of bladder cancer stage (T1 NMIBC and MIBC).
- Tumor density is not a sufficient predictor of local tumor stage.
- Findings support objective measurement of tumor burden to guide treatment.
