Cargando…
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...
Autores principales: | Jarrett, Angela M., Hormuth, David A., Wu, Chengyue, Kazerouni, Anum S., Ekrut, David A., Virostko, John, Sorace, Anna G., DiCarlo, Julie C., Kowalski, Jeanne, Patt, Debra, Goodgame, Boone, Avery, Sarah, Yankeelov, Thomas E. |
---|---|
Formato: | Online Artículo Texto |
Lenguaje: | English |
Publicado: |
Neoplasia Press
2020
|
Materias: | |
Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7677708/ https://www.ncbi.nlm.nih.gov/pubmed/33197744 http://dx.doi.org/10.1016/j.neo.2020.10.011 |
Ejemplares similares
-
Magnetization Transfer MRI of Breast Cancer in the Community Setting: Reproducibility and Preliminary Results in Neoadjuvant Therapy
por: Virostko, John, et al.
Publicado: (2019) -
Quantitative multiparametric MRI predicts response to neoadjuvant therapy in the community setting
por: Virostko, John, et al.
Publicado: (2021) -
Characterizing Errors in Pharmacokinetic Parameters from Analyzing Quantitative Abbreviated DCE-MRI Data in Breast Cancer
por: Slavkova, Kalina P., et al.
Publicado: (2021) -
Optimal Control Theory for Personalized Therapeutic Regimens in Oncology: Background, History, Challenges, and Opportunities
por: Jarrett, Angela M., et al.
Publicado: (2020) -
Dynamic contrast-enhanced magnetic resonance imaging and diffusion-weighted magnetic resonance imaging for predicting the response of locally advanced breast cancer to neoadjuvant therapy: a meta-analysis
por: Virostko, John, et al.
Publicado: (2017)