CT-based radiomics model with machine learning for predicting primary treatment failure in diffuse large B-cell Lymphoma-Reference-Cited by-同舟云学术

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

Published:2021-10 Issue:10 Volume:14 Page:101188
ISSN:1936-5233
Container-title:Translational Oncology
language:en
Short-container-title:Translational Oncology

Author:

Santiago Raoul,Ortiz Jimenez Johanna,Forghani Reza,Muthukrishnan Nikesh,Del Corpo Olivier,Karthigesu Shairabi,Haider Muhammad Yahya,Reinhold Caroline,Assouline Sarit

Publisher

Elsevier BV

Subject

Cancer Research,Oncology

Reference29 articles.

1. Long-term results of the R-CHOP study in the treatment of elderly patients with diffuse large B-cell lymphoma: a study by the Groupe d'Etude des Lymphomes de l'Adulte;Feugier;J Clin Oncol,2005

2. Outcomes in refractory diffuse large B-cell lymphoma: results from the international SCHOLAR-1 study;Crump;Blood,2017

3. How I manage patients with relapsed/refractory diffuse large B cell lymphoma;Gisselbrecht;Br J Haematol,2018

4. Lymphomas with concurrent BCL2 and MYC translocations: the critical factors associated with survival;Johnson;Blood,2009

5. The revised International Prognostic Index (R-IPI) is a better predictor of outcome than the standard IPI for patients with diffuse large B-cell lymphoma treated with R-CHOP;Sehn;Blood,2007

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