The Development and External Validation of Artificial Intelligence-Driven MRI-Based Models to Improve Prediction of Lesion-Specific Extraprostatic Extension in Patients with Prostate Cancer

SIMPLE SUMMARY: The use of artificial intelligence algorithms can improve the prediction of lesion-specific histopathological extraprostatic extension (EPE) on MRI in prostate cancer patients. A lesion-specific prediction model can be helpful in counseling patients for radical prostatectomy and adeq...

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Detalles Bibliográficos
Autores principales: van den Berg, Ingeborg, Soeterik, Timo F. W., van der Hoeven, Erik J. R. J., Claassen, Bart, Brink, Wyger M., Baas, Diederik J. H., Sedelaar, J. P. Michiel, Heine, Lizette, Tol, Jim, van der Voort van Zyp, Jochem R. N., van den Berg, Cornelis A. T., van den Bergh, Roderick C. N., van Basten, Jean-Paul A., van Melick, Harm H. E.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670855/
https://www.ncbi.nlm.nih.gov/pubmed/38001712
http://dx.doi.org/10.3390/cancers15225452

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10670855/
https://www.ncbi.nlm.nih.gov/pubmed/38001712
http://dx.doi.org/10.3390/cancers15225452

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