Predicting Histopathological Outcomes from Cystoscopic Findings in Newly Diagnosed Bladder Cancer: A Prospective...

Area of Science:

• Urology
• Oncology
• Diagnostic Imaging

Background:

• Bladder cancer is a significant global health concern, necessitating improved early detection and staging.
• Accurate staging is crucial for effective therapeutic interventions in bladder cancer patients.

Purpose of the Study:

• To evaluate the predictive accuracy of cystoscopic findings during initial transurethral resection of bladder tumor (TURBT).
• To correlate cystoscopic observations with histopathological outcomes for enhanced diagnostic precision in newly diagnosed bladder cancer.

Main Methods:

• Prospective study of 153 newly diagnosed bladder cancer patients.
• White light cystoscopy (WLC) recorded tumor characteristics (size, number, morphology) during TURBT.
• Correlation of cystoscopic findings with histopathology, assessing diagnostic accuracy metrics (sensitivity, specificity, PPV, NPV).

Main Results:

• The prediction model achieved 81.05% accuracy.
• Tumor size >3 cm and sessile morphology were significant predictors of muscle-invasive bladder cancer (MIBC).
• High prediction accuracy (83.33%) observed for low-grade Ta (LGTa) tumors.

Conclusions:

• Initial TURBT cystoscopy reliably predicts bladder cancer histopathological outcomes.
• Findings support the exclusion of incorrect diagnoses, particularly in resource-limited settings.
• High-quality TURBT with adequate detrusor muscle sampling improves staging accuracy and treatment guidance.