Electron Density and Biologically Effective Dose (BED) Radiomics-Based Machine Learning Models to Predict Late Radiation-Induced Subcutaneous Fibrosis

Purpose: to predict the occurrence of late subcutaneous radiation induced fibrosis (RIF) after partial breast irradiation (PBI) for breast carcinoma by using machine learning (ML) models and radiomic features from 3D Biologically Effective Dose (3D-BED) and Relative Electron Density (3D-RED). Method...

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Dades bibliogràfiques
Publicat a:Front Oncol
Autors principals: Avanzo, Michele, Pirrone, Giovanni, Vinante, Lorenzo, Caroli, Angela, Stancanello, Joseph, Drigo, Annalisa, Massarut, Samuele, Mileto, Mario, Urbani, Martina, Trovo, Marco, el Naqa, Issam, De Paoli, Antonino, Sartor, Giovanna
Format: Artigo
Idioma:Inglês
Publicat: Frontiers Media S.A. 2020
Matèries:
Oncology
Accés en línia:https://ncbi.nlm.nih.gov/pmc/articles/PMC7186445/
https://ncbi.nlm.nih.gov/pubmed/32373520
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.3389/fonc.2020.00490
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