Development of a Radiomic-Based Model Predicting Lymph Node Involvement in Prostate Cancer Patients

Development of a Radiomic-Based Model Predicting Lymph Node Involvement in Prostate Cancer Patients

Significant advances in lymph node involvement (LNI) risk modeling in prostate cancer (PCa) have been achieved with the addition of visual interpretation of magnetic resonance imaging (MRI) data, but it is likely that quantitative analysis could further improve prediction models. In this study, we a...

Full description

Saved in:
Bibliographic Details
Main Authors: Vincent Bourbonne, Vincent Jaouen, Truong An Nguyen, Valentin Tissot, Laurent Doucet, Mathieu Hatt, Dimitris Visvikis, Olivier Pradier, Antoine Valéri, Georges Fournier, Ulrike Schick
Format: article
Language:EN
Published: MDPI AG 2021
Subjects:
lymph node involvement
prostate cancer
prediction
radiomics
MRI
Neoplasms. Tumors. Oncology. Including cancer and carcinogens
RC254-282
Online Access:https://doaj.org/article/16e452384f4c44e9aed8e538056cc96b
Tags: Add Tag
No Tags, Be the first to tag this record!

Internet

https://doaj.org/article/16e452384f4c44e9aed8e538056cc96b

Similar Items