Applying prediction models in clinical practice: the importance of fine details
Author:
Publisher
Springer Science and Business Media LLC
Subject
Cancer Research,Urology,Oncology
Link
https://www.nature.com/articles/s41391-023-00734-7.pdf
Reference8 articles.
1. Wibmer AG, Nikolovski I, Chaim J, Lakhman Y, Lefkowitz RA, Sala E, et al. Local extent of prostate cancer at mri versus prostatectomy histopathology: associations with long-term oncologic outcomes. Radiology. 2022;302:595–602.
2. Heetman JG, van der Hoeven E, Rajwa P, Zattoni F, Kesch C, Shariat S et al. External validation of nomograms including MRI features for the prediction of side-specific extraprostatic extension. Prostate Cancer Prostatic Dis. 2023.
3. Patel VR, Sandri M, Grasso AAC, De Lorenzis E, Palmisano F, Albo G, et al. A novel tool for predicting extracapsular extension during graded partial nerve sparing in radical prostatectomy. BJU Int. 2018;121:373–82.
4. Taavitsainen S, Engedal N, Cao S, Handle F, Erickson A, Prekovic S, et al. Single-cell ATAC and RNA sequencing reveal pre-existing and persistent cells associated with prostate cancer relapse. Nat Commun. 2021;12:5307.
5. Stibbe JA, de Barros HA, Linders DGJ, Bhairosingh SS, Bekers EM, van Leeuwen PJ, et al. First-in-patient study of OTL78 for intraoperative fluorescence imaging of prostate-specific membrane antigen-positive prostate cancer: a single-arm, phase 2a, feasibility trial. Lancet Oncol. 2023;24:457–67.
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