Scoring system development for prediction of extravesical bladder cancer
Vojnosanitetski Pregled
|October 7, 2014
Summary
A new scoring system helps predict advanced muscle-invasive bladder cancer (MIBC) before surgery. Key factors include tumor grade, lymphovascular invasion, and hydronephrosis, aiding treatment decisions.
Area of Science:
- Urology
- Oncology
- Medical Diagnostics
Background:
- Accurate staging of bladder cancer is essential for effective patient management.
- Clinical staging of bladder cancer often lacks perfect accuracy.
- Pathological advanced muscle-invasive bladder cancer (MIBC) requires precise prediction.
Purpose of the Study:
- To develop a straightforward scoring system for predicting pathological advanced MIBC.
- To enhance the accuracy of precystectomy staging for bladder cancer patients.
Main Methods:
- Utilized logistic regression and bootstrap methods on precystectomy clinicopathological data.
- Included demographic, initial transurethral resection (TUR) details, hydronephrosis, and CT findings.
- Defined advanced MIBC as pT3-4 tumors; assessed predictive accuracy using ROC curves and clinical utility via decision curve analysis.
Main Results:
- A scoring system was derived from 233 patients undergoing radical cystectomy (RC).
- Significant predictors for advanced MIBC included initial TUR grade (OR=4.7), lymphovascular invasion (LVI) (OR=2), and hydronephrosis (OR=3.9).
- The scoring system (0-15) with a cutoff >8 demonstrated good discriminatory ability (AUC=0.795) and excellent calibration.
Conclusions:
- A novel scoring system effectively predicts advanced MIBC prior to radical cystectomy.
- This tool can aid in clinical decision-making, potentially improving perioperative chemotherapy integration.
- Further external validation is recommended to confirm the model's clinical value.
