CT-based radiomics model with machine learning for predicting primary treatment failure in diffuse large B-cell Lymphoma

CT-based radiomics model with machine learning for predicting primary treatment failure in diffuse large B-cell Lymphoma

Biomarkers which can identify Diffuse Large B-Cell Lymphoma (DLBCL) likely to be refractory to first-line therapy are essential for selecting this population prior to therapy initiation to offer alternate therapeutic options that can improve prognosis. We tested the ability of a CT-based radiomics a...

Full description

Bibliographic Details
Main Authors: Raoul Santiago, Johanna Ortiz Jimenez, Reza Forghani, Nikesh Muthukrishnan, Olivier Del Corpo, Shairabi Karthigesu, Muhammad Yahya Haider, Caroline Reinhold, Sarit Assouline
Format: Article
Language:English
Published: Elsevier 2021-10-01
Series:Translational Oncology
Subjects:
Radiomics
Diffuse Large B-cell Lymphoma
Refractory
Quantitative imaging
Biomarkers
Online Access:http://www.sciencedirect.com/science/article/pii/S1936523321001807

Internet

http://www.sciencedirect.com/science/article/pii/S1936523321001807

Similar Items