A Multi-Compartment Model of Glioma Response to Fractionated Radiation Therapy Parameterized via Time-Resolved Microscopy Data
PurposeConventional radiobiology models, including the linear-quadratic model, do not explicitly account for the temporal effects of radiation, thereby making it difficult to make time-resolved predictions of tumor response to fractionated radiation. To overcome this limitation, we propose and valid...
Main Authors: | Junyan Liu, David A. Hormuth, Jianchen Yang, Thomas E. Yankeelov |
---|---|
Format: | Article |
Language: | English |
Published: |
Frontiers Media S.A.
2022-02-01
|
Series: | Frontiers in Oncology |
Subjects: | |
Online Access: | https://www.frontiersin.org/articles/10.3389/fonc.2022.811415/full |
Similar Items
-
Predictive digital twin for optimizing patient-specific radiotherapy regimens under uncertainty in high-grade gliomas
by: Anirban Chaudhuri, et al.
Published: (2023-10-01) -
A data assimilation framework to predict the response of glioma cells to radiation
by: Junyan Liu, et al.
Published: (2023-01-01) -
Forecasting tumor and vasculature response dynamics to radiation therapy via image based mathematical modeling
by: David A. Hormuth, et al.
Published: (2020-01-01) -
Towards an Image-Informed Mathematical Model of In Vivo Response to Fractionated Radiation Therapy
by: David A. Hormuth, et al.
Published: (2021-04-01) -
Mathematical characterization of population dynamics in breast cancer cells treated with doxorubicin
by: Emily Y. Yang, et al.
Published: (2022-09-01)