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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Bibliografische Detailangaben

Hauptverfasser:	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
Format:	Artigo
Sprache:	Inglês
Veröffentlicht:	Elsevier 2020-12-01
Schriftenreihe:	Neoplasia: An International Journal for Oncology Research
Schlagworte:	Simulation DCE-MRI DW-MRI Forecasting Chemotherapy
Online-Zugang:	http://www.sciencedirect.com/science/article/pii/S1476558620301664
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