Long‐term outcomes of outpatient laser ablation for recurrent non‐muscle invasive bladder cancer: A retrospective cohort study
Author:
Affiliation:
1. Faculty of Life Sciences and Medicine King's College London London UK
2. Translational Oncology and Urology Research King's College London London UK
3. Department of Urology Guy's and St Thomas' NHS Foundation Trust London UK
Publisher
Wiley
Subject
Religious studies,Cultural Studies
Link
https://onlinelibrary.wiley.com/doi/pdf/10.1002/bco2.120
Reference19 articles.
1. BabjukM BurgerM CompératEM GonteroP LiedbergF Masson‐LecomteA et al.European Association of Urology Guidelines on Non‐muscle‐invasive Bladder Cancer (TaT1 and CIS) ‐ 2021 update. Retrieved fromhttps://uroweb.org/guideline/non-muscle-invasive-bladder-cancer. Accessed 15/08/2021
2. Predicting Recurrence and Progression in Individual Patients with Stage Ta T1 Bladder Cancer Using EORTC Risk Tables: A Combined Analysis of 2596 Patients from Seven EORTC Trials
3. A SURVEILLANCE SCHEDULE FOR G1Ta BLADDER CANCER ALLOWING EFFICIENT USE OF CHECK CYSTOSCOPY AND SAFE DISCHARGE AT 5 YEARS BASED ON A 25-YEAR PROSPECTIVE DATABASE
4. Papillary Urothelial neoplasm of low malignant potential (PUNLMP) after initial TUR‐BT: Comparative analyses with noninvasive low‐grade papillary Urothelial carcinoma (LGPUC);Kim JK;J Cancer,2017
5. Risk‐adapted management of low‐grade bladder tumours: recommendations from the International Bladder Cancer Group (IBCG)
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1. Efficacy and safety of office-based diode laser ablation for recurrent low-grade non-muscle-invasive bladder cancer under local anaesthesia: A pilot study;Arab Journal of Urology;2024-07-18
2. Advanced optical imaging techniques for bladder cancer detection and diagnosis: a systematic review;BJU International;2024-07-17
3. Patient-Reported Outcomes after Laser Ablation for Bladder Tumours Compared to Transurethral Resection—A Prospective Study;Cancers;2024-04-24
4. Time to progression is the main predictor of survival in patients with high-risk nonmuscle invasive bladder cancer: Results from a machine learning-based analysis of a large multi-institutional database;Urologic Oncology: Seminars and Original Investigations;2024-03
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