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

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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Bibliographic Details
Main Authors: Adrian Kobe, Juliana Zgraggen, Florian Messmer, Gilbert Puippe, Thomas Sartoretti, Hatem Alkadhi, Thomas Pfammatter, Manoj Mannil
Format: Article
Language:English
Published: Elsevier 2021-01-01
Series:European Journal of Radiology Open
Subjects:
Radiomics
Transarterial radioembolization
Machine learning
Cone-Beam CT
Online Access:http://www.sciencedirect.com/science/article/pii/S2352047721000551

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http://www.sciencedirect.com/science/article/pii/S2352047721000551

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