2022
DOI: 10.1016/j.eururo.2021.07.027
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Risk Stratification of Patients Candidate to Radical Prostatectomy Based on Clinical and Multiparametric Magnetic Resonance Imaging Parameters: Development and External Validation of Novel Risk Groups

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Cited by 39 publications
(36 citation statements)
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“…Tools to estimate post-operative disease recurrence are limited in their accuracy [ 2 ]. Incorporation of novel imaging is a natural progression to improve predictive tools.…”
Section: Discussionmentioning
confidence: 99%
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“…Tools to estimate post-operative disease recurrence are limited in their accuracy [ 2 ]. Incorporation of novel imaging is a natural progression to improve predictive tools.…”
Section: Discussionmentioning
confidence: 99%
“…Incorporation of novel imaging is a natural progression to improve predictive tools. Mazzone and colleagues showed mpMRI features in combination with biopsy GS, and PSA improved predictive accuracy compared to other classification methods [ 2 ]. Molecular tests, such as the Decipher® genomic classifier, are independently prognostic for oncological outcomes [ 1 ]; however, these tests are not commonly available outside the USA.…”
Section: Discussionmentioning
confidence: 99%
See 1 more Smart Citation
“…In addition, there is a clear need to improve our ability to enhance PCa patients at high risk of metastasis and recurrence after radical prostatectomy for PCa. The challenge of accurately predicting PCa metastasis and recurrence may be partially attributed to the complex pathways that promote disease development ( 19 ). CDCA8 plays a vital role in various tumor-related processes.…”
Section: Discussionmentioning
confidence: 99%
“…However, the majority of these studies focus on weak surrogates of cancer-specific survival (CSS) (e.g., BCR which is an early and easily measured endpoint) [ 11 ] and a recent meta-analysis validated the MFS as a more meaningful clinical endpoint and the only identified surrogate endpoint for overall survival (OS) in localized PC [ 12 ]. New predictive biomarkers are then needed to complement available clinical, histological, and radiological data (i.e., magnetic resonance imaging) [ 13 ] and to accurately predict MFS and CSS.…”
Section: Introductionmentioning
confidence: 99%