Prediction of treatment response to transarterial radioembolization of liver metastases: Radiomics analysis of pre-treatment cone-beam CT: A proof of concept study

PURPOSE: To investigate the potential of texture analysis and machine learning to predict treatment response to transarterial radioembolization (TARE) on pre-interventional cone-beam computed tomography (CBCT) images in patients with liver metastases. MATERIALS AND METHODS: In this IRB-approved retr...

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Detalles Bibliográficos
Autores principales: Kobe, Adrian, Zgraggen, Juliana, Messmer, Florian, Puippe, Gilbert, Sartoretti, Thomas, Alkadhi, Hatem, Pfammatter, Thomas, Mannil, Manoj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Elsevier 2021
Materias:
Original Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408624/
https://www.ncbi.nlm.nih.gov/pubmed/34485629
http://dx.doi.org/10.1016/j.ejro.2021.100375

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8408624/
https://www.ncbi.nlm.nih.gov/pubmed/34485629
http://dx.doi.org/10.1016/j.ejro.2021.100375

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