David Thurtle

Application of a novel machine learning framework for predicting non-metastatic prostate cancer-specific mortality in men using the Surveillance, Epidemiology, and End Results (SEER) database

Chang‐Hee Lee, Alexander Light, Ahmed M. Alaa et al. · The Lancet Digital Health · 2021 · 124 citations · Full text

Public Health, Biostatistics, Oncology +17

Individual prognosis at diagnosis in nonmetastatic prostate cancer: Development and external validation of the PREDICT Prostate multivariable model

David Thurtle, David Greenberg, Lui S. Lee et al. · PLoS Medicine · 2019 · 72 citations · Full text

Medicine, Oncology, Urology +17

Progression and treatment rates using an active surveillance protocol incorporating image‐guided baseline biopsies and multiparametric magnetic resonance imaging monitoring for men with favourable‐risk prostate cancer

David Thurtle, Tristan Barrett, Vineetha Thankappannair et al. · British Journal of Urology · 2018 · 57 citations · Full text

Medicine, Oncology, Urology +17

Improving the safety and tolerability of local anaesthetic outpatient transperineal prostate biopsies: A pilot study of the CAMbridge PROstate Biopsy (CAMPROBE) method

David Thurtle, Lorraine Starling, K Leonard et al. · Journal of Clinical Urology · 2018 · 33 citations · Full text

Medicine, Surgery, Urology +16

Using prognosis to guide inclusion criteria, define standardised endpoints and stratify follow‐up in active surveillance for prostate cancer

Vincent J. Gnanapragasam, Tristan Barrett, Vineetha Thankapannair et al. · British Journal of Urology · 2019 · 32 citations · Full text

Medicine, Biostatistics, Oncology +17