Evaluating patient-specific neoadjuvant regimens for breast cancer via a mathematical model constrained by quantitative magnetic resonance imaging data

The ability to accurately predict response and then rigorously optimize a therapeutic regimen on a patient-specific basis, would transform oncology. Toward this end, we have developed an experimental-mathematical framework that integrates quantitative magnetic resonance imaging (MRI) data into a bio...

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Detalhes bibliográficos

Principais autores:	Angela M. Jarrett, David A. Hormuth, II, Chengyue Wu, Anum S. Kazerouni, David A. Ekrut, John Virostko, Anna G. Sorace, Julie C. DiCarlo, Jeanne Kowalski, Debra Patt, Boone Goodgame, Sarah Avery, Thomas E. Yankeelov
Formato:	Artigo
Idioma:	Inglês
Publicado em:	Elsevier 2020-12-01
coleção:	Neoplasia: An International Journal for Oncology Research
Assuntos:	Simulation DCE-MRI DW-MRI Forecasting Chemotherapy
Acesso em linha:	http://www.sciencedirect.com/science/article/pii/S1476558620301664
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