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

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...

Full description

Bibliographic Details
Main Authors: 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: Article
Language:English
Published: Elsevier 2020-12-01
Series:Neoplasia: An International Journal for Oncology Research
Subjects:
Simulation
DCE-MRI
DW-MRI
Forecasting
Chemotherapy
Online Access:http://www.sciencedirect.com/science/article/pii/S1476558620301664

Internet

http://www.sciencedirect.com/science/article/pii/S1476558620301664

Similar Items