Development and validation of a predictive model for the diagnosis of bladder tumors using narrow band imaging-Reference-Cited by-同舟云学术

Development and validation of a predictive model for the diagnosis of bladder tumors using narrow band imaging

Published:2023-09-06 Issue:17 Volume:149 Page:15867-15877
ISSN:0171-5216
Container-title:Journal of Cancer Research and Clinical Oncology
language:en
Short-container-title:J Cancer Res Clin Oncol

Author:

Liang Hao,Yang Qingya,Zhang Yaozhong,Sun Hui,Fu Qiang,Diao Tongxiang,Wang Jin,Huang Wei,Xu Yang,Ge Nan,Jiang Xuewen,Chen Shouzhen,Li Yan,Zhou Bin,Li Peixin,Zhang Xiaoyi,Zhang Nianzhao,Shi Benkang,Chen Jun

Funder

Olympus

Qingdao Science and Technology Demonstration and Guidance Special Fund for the Benefit of the People

Publisher

Springer Science and Business Media LLC

Subject

Cancer Research,Oncology,General Medicine

Link

https://link.springer.com/content/pdf/10.1007/s00432-023-05355-0.pdf

Reference29 articles.

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3. Burger M, Catto JW, Dalbagni G, Grossman HB, Herr H et al (2013) Epidemiology and risk factors of urothelial bladder cancer. Eur Urol 63(2):234–241

4. Cambier S, Sylvester RJ, Collette L, Gontero P, Brausi MA et al (2016) EORTC nomograms and risk groups for predicting recurrence, progression, and disease-specific and overall survival in non-muscle-invasive stage Ta-T1 urothelial bladder cancer patients treated with 1–3 years of maintenance bacillus calmette-guérin. Eur Urol 69(1):60–69

5. Cauberg ECC, de Bruin DM, Faber DJ, van Leeuwen TG, de la Rosette JJMCH et al (2009) A new generation of optical diagnostics for bladder cancer: technology, diagnostic accuracy, and future applications. Eur Urol 56(2):287–296

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