The GRAPH-CRAFITY Score: a novel prognostic tool for patients with hepatocellular carcinoma treated with targeted therapy and immunotherapy

Motivation: Biomarkers that predict the efficacy of immunotherapy-based systematic therapy remain an unmet need in HCC. Goal(s): To establish an optimized model by integrating magnetic resonance (MR) features and CRAFITY score to predict overall survival (OS) of HCC patients treated with targeted therapy and immunotherapy. Approach: The clinical variables and MR features were assessed by univariate and multivariate Cox regression analyses. Results: Based on independent risk factors (Gender, intRatumoral fAt, enhancing tumor caPsule, gross growtH type and CRAFITY Score) identified by the multivariate analysis, a novel prognostic tool named GRAPH-CRAFITY Score was developed to predict OS. Impact: A novel prognostic tool by integrating gender, MR features and laboratory tests was developed to predict OS of HCC patients treated with targeted therapy and immunotherapy, which will help oncologists for decision-making.

Authors

Publication Details

Journal
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Published
2024-11-26
DOI
https://doi.org/10.58530/2024/4007
Primary Topic
Hepatocellular Carcinoma Treatment and Prognosis
Type
article
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article

The GRAPH-CRAFITY Score: a novel prognostic tool for patients with hepatocellular carcinoma treated with targeted therapy and immunotherapy

Feng Ye, Sicong Wang, Xinming Zhao, Lu Li et al.
Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Hepatocellular Carcinoma Treatment and Prognosis
article

The GRAPH-CRAFITY Score: a novel prognostic tool for patients with hepatocellular carcinoma treated with targeted therapy and immunotherapy

Feng Ye, Sicong Wang, Xinming Zhao, Lu Li, Yi Yang, Lizhi Xie, Ying Xu
article en

Abstract

Motivation: Biomarkers that predict the efficacy of immunotherapy-based systematic therapy remain an unmet need in HCC. Goal(s): To establish an optimized model by integrating magnetic resonance (MR) features and CRAFITY score to predict overall survival (OS) of HCC patients treated with targeted therapy and immunotherapy. Approach: The clinical variables and MR features were assessed by univariate and multivariate Cox regression analyses. Results: Based on independent risk factors (Gender, intRatumoral fAt, enhancing tumor caPsule, gross growtH type and CRAFITY Score) identified by the multivariate analysis, a novel prognostic tool named GRAPH-CRAFITY Score was developed to predict OS. Impact: A novel prognostic tool by integrating gender, MR features and laboratory tests was developed to predict OS of HCC patients treated with targeted therapy and immunotherapy, which will help oncologists for decision-making.

Proceedings on CD-ROM - International Society for Magnetic Resonance in Medicine. Scientific Meeting and Exhibition/Proceedings of the International Society for Magnetic Resonance in Medicine, Scientific Meeting and Exhibition
Gender equality
Openalex Percentile: Top 66%
Hepatocellular Carcinoma Treatment and Prognosis
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