Derivation and validation of the SLNA score: a tumor size-location-number-apperance model to predict transurethral resection of bladder tumor (TURBT) complexity
The proposed nomogram effectively predicts the complexity of TURBT using preoperative clinical data. This scoring system can aid surgeons in preoperative planning and improve patient outcomes by standardizing the assessment of TURBT complexity across institutions.
Authors
- Shuxiong Zeng (ORCID: https://orcid.org/0000-0001-7656-9437)
- Yan Xu (ORCID: https://orcid.org/0000-0003-0379-8866)
- Maoyu Wang (ORCID: https://orcid.org/0000-0002-0022-187X)
- Chaoyang Sheng
- Zhensheng Zhang
- Hui Zhang
- Chen Zhang
- Jinshan Xu
- Chuanliang Xu
Institutions
- Second Military Medical University (CN)
- Shanghai Jiao Tong University (CN)
- General Hospital of Guangzhou Military Command (CN)
- Changhai Hospital (CN)
- Shanghai First People's Hospital (CN)
Publication Details
- Journal
- Translational Andrology and Urology
- Published
- 2026-02-01
- DOI
- https://doi.org/10.21037/tau-2025-736
- Primary Topic
- Bladder and Urothelial Cancer Treatments
- Type
- article
- Field-Weighted Citation Impact
- 0.00