Work

Predictive Model of Liver Toxicity to Aid the Personalized Selection of Proton Versus Photon Therapy in Hepatocellular Carcinoma

Year: 2023

Type: article

Source: International Journal of Radiation Oncology*Biology*Physics

DOI: 10.1016/j.ijrobp.2023.01.055

Authors: Ibrahim Chamseddine, Yejin Kim, Brian De, Issam El Naqa, Dan G. Duda, John A. Wolfgang, Jennifer Pursley, Jennifer Y. Wo, Theodore S. Hong, Harald Paganetti, Eugene J. Koay, Clemens Grassberger

Institutions: Harvard University, Massachusetts General Hospital, Korea Advanced Institute of Science and Technology, The University of Texas MD Anderson Cancer Center, Moffitt Cancer Center

Language: English

Topic: Advanced Radiotherapy Techniques

Subfield: Radiation

Field: Physics and Astronomy

Domain: Physical Sciences

SDG: Good health and well-being

Open Access status: green

Funders: Bristol-Myers Squibb, AstraZeneca, Boston Scientific Corporation, Taiho Pharmaceutical, Exelixis, Dubai Harvard Foundation for Medical Research, Novocure, Syndax Pharmaceuticals, Fondation pour la Recherche Médicale, Ipsen, Genentech, National Cancer Institute

Awards: Bio-Physical Modeling of Immuno-Radiotherapy Combinations based on Patient Data, Improving the Clinical Effectiveness and Understanding of the Biophysical Basis, Integrating patient-specific clinical and biological factors towards individualizing utilization of proton and photon radiation therapy.

OpenAlex ID: W4319066283

FWCI: 3.087

Cites: 32

Cited by: 16

Related to: 10