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How to cite: Lotan Y. The Role of White Light Enhancements and AI-Based Cystoscopy. Grand Rounds in Urology. December 2025. Accessed Oct 2026. https://grandroundsinurology.com/the-role-of-white-light-enhancements-and-ai-based-cystoscopy/

Summary

Yair Lotan, MD, Professor of Urology, Chief of Urologic Oncology, and Jane and John Justin Distinguished Chair in Urology, University of Texas Southwestern Medical Center, Dallas, Texas, reviews enhanced cystoscopic imaging technologies and emerging artificial intelligence applications aimed at improving tumor detection and management in non–muscle-invasive bladder cancer.

Dr. Lotan notes that transurethral resection of bladder tumor quality remains central to outcomes in non-muscle-invasive bladder cancer. Residual tumor and missed carcinoma in situ contribute to recurrence and progression. Standard white light cystoscopy has recognized limitations in detecting flat and subtle lesions.

Blue light cystoscopy uses intravesical hexaminolevulinate, which accumulates in malignant cells and fluoresces under blue light. Dr. Lotan notes that enhanced imaging improves the detection of additional tumors compared with white light alone. He cites data showing an approximately 20 percent increase in overall detection and a 34 percent increase in the detection rate for carcinoma in situ. Enhanced cystoscopy may identify lesions that would otherwise be missed during surveillance or operative evaluation.

Narrow band imaging enhances visualization of vascular patterns without requiring intravesical instillation. This technology can be toggled during cystoscopy and provides improved contrast between tumor and normal urothelium. Dr. Lotan discusses practical considerations, including platform availability and workflow differences between technologies.

Emerging optical technologies include confocal laser endomicroscopy, optical coherence tomography, and spectroscopy-based approaches. Artificial intelligence systems are being developed to support real-time tumor detection, classification, and border delineation. Early data suggest high specificity, though sensitivity remains variable and continued refinement is required.

Dr. Lotan emphasizes that enhanced visualization technologies improve tumor detection and may influence management decisions. Artificial intelligence–based cystoscopy represents an evolving adjunct that requires further validation before routine clinical integration.

 

The International Bladder Cancer Update (IBCU) Expert Forum™ is a physician-led conference bringing together urologists, urologic oncologists, and other healthcare professionals involved in the treatment and diagnosis of bladder cancer. The conference offers interactive expert lectures, panel discussions, and case presentations offers a dynamic look at the latest advancements and state-of-the-art technologies in the field of bladder cancer management. The 2025 IBCU Expert Forum™ encompassed the management of muscle-invasive, non-muscle invasive, and metastatic bladder cancer; upper-tract disease; as well as giving a specific focus on radical vs bladder sparing surgical approaches.

ABOUT THE AUTHOR

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Yair Lotan, MD, is a Professor of Urology, Chief of Urologic Oncology, and holder of the Jane and John Justin Distinguished Chair in Urology, in Honor of Claus G. Roehrborn, MD at University of Texas Southwestern Medical Center. He is also the Medical Director of the Urology Clinic at UT Southwestern and Parkland Health and Hospital System. Dr. Lotan is known nationally for his research on urine markers and molecular markers, which help determine which patients are at higher risk for recurrent cancer.