Recent Advances and Emerging Innovations in Transurethral Resection of Bladder Tumor (TURBT) for Non-Muscle Invasive Bladder Cancer: A Comprehensive Review of Current Literature

Rei Ben Muvhar,1 Reem Paluch,2 Matan Mekayten3,4 1Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel; 2Faculty of Medicine, Technion-Israel, Institute of Technology, Haifa, Israel; 3Adelson School of Medicine, Ariel University, Ariel, Israel; 4Department of Urology, Sanz Medical Center, Laniado Hospital, Netanya, IsraelCorrespondence: Rei Ben Muvhar, Email [email protected]: Bladder cancer management, particularly non-muscle-invasive bladder cancer (NMIBC), has evolved significantly due to advancements in imaging techniques and surgical methodologies. Enhanced tumor visualization methods, including Photodynamic Diagnosis (PDD) and Narrow-Band Imaging (NBI), offer improved detection rates for both papillary tumors and carcinoma in situ (CIS), compared to traditional white-light cystoscopy (WLC). Recent studies suggest that these technologies enhance diagnostic accuracy, reduce recurrence rates, and improve oncological outcomes. Additionally, transurethral resection of bladder tumors (TURBT), performed with advanced imaging, has demonstrated better resection quality, particularly in terms of detrusor muscle presence. Despite these innovations, challenges remain in the long-term impact on recurrence-free and progression-free survival. Artificial intelligence (AI) integration into cystoscopic imaging further promises enhanced diagnostic precision and cost-effective bladder cancer management. As personalized treatment paradigms emerge, predictive biomarkers, including genomic and pathological markers, may help stratify patients for aggressive treatment, sparing those at lower risk from unnecessary interventions. Future research should focus on validating these AI models and combining them with enhanced imaging modalities to refine treatment protocols further. These advancements collectively represent a significant leap toward precision medicine in bladder cancer care.Keywords: bladder neoplasms, transurethral resection, photodynamic therapy, narrow-band imaging, artificial intelligence, recurrence-free survival, biomarkers, tumor, precision medicine

Publication Details

Journal
SHILAP Revista de lepidopterología
Published
2025-03-01
Primary Topic
Bladder and Urothelial Cancer Treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Recent Advances and Emerging Innovations in Transurethral Resection of Bladder Tumor (TURBT) for Non-Muscle Invasive Bladder Cancer: A Comprehensive Review of Current Literature

SHILAP Revista de lepidopterología
Bladder and Urothelial Cancer Treatments
article

Recent Advances and Emerging Innovations in Transurethral Resection of Bladder Tumor (TURBT) for Non-Muscle Invasive Bladder Cancer: A Comprehensive Review of Current Literature

article en

Abstract

Rei Ben Muvhar,1 Reem Paluch,2 Matan Mekayten3,4 1Faculty of Medicine, Hebrew University of Jerusalem, Jerusalem, Israel; 2Faculty of Medicine, Technion-Israel, Institute of Technology, Haifa, Israel; 3Adelson School of Medicine, Ariel University, Ariel, Israel; 4Department of Urology, Sanz Medical Center, Laniado Hospital, Netanya, IsraelCorrespondence: Rei Ben Muvhar, Email [email protected]: Bladder cancer management, particularly non-muscle-invasive bladder cancer (NMIBC), has evolved significantly due to advancements in imaging techniques and surgical methodologies. Enhanced tumor visualization methods, including Photodynamic Diagnosis (PDD) and Narrow-Band Imaging (NBI), offer improved detection rates for both papillary tumors and carcinoma in situ (CIS), compared to traditional white-light cystoscopy (WLC). Recent studies suggest that these technologies enhance diagnostic accuracy, reduce recurrence rates, and improve oncological outcomes. Additionally, transurethral resection of bladder tumors (TURBT), performed with advanced imaging, has demonstrated better resection quality, particularly in terms of detrusor muscle presence. Despite these innovations, challenges remain in the long-term impact on recurrence-free and progression-free survival. Artificial intelligence (AI) integration into cystoscopic imaging further promises enhanced diagnostic precision and cost-effective bladder cancer management. As personalized treatment paradigms emerge, predictive biomarkers, including genomic and pathological markers, may help stratify patients for aggressive treatment, sparing those at lower risk from unnecessary interventions. Future research should focus on validating these AI models and combining them with enhanced imaging modalities to refine treatment protocols further. These advancements collectively represent a significant leap toward precision medicine in bladder cancer care.Keywords: bladder neoplasms, transurethral resection, photodynamic therapy, narrow-band imaging, artificial intelligence, recurrence-free survival, biomarkers, tumor, precision medicine

SHILAP Revista de lepidopterología
Openalex Percentile: Top 34%
Bladder and Urothelial Cancer Treatments
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.

Recent Advances and Emerging Innovations in Transurethral Resection of Bladder Tumor (TURBT) for Non-Muscle Invasive Bladder Cancer: A Comprehensive Review of Current Literature · SHILAP Revista de lepidopterología (2025) | TGRS Research Map | TGRS