Incorporating drug delivery into an imaging-driven, mechanics-coupled reaction diffusion model for predicting the response of breast cancer to neoadjuvant chemotherapy: theory and preliminary clinical results-Reference-Cited by-同舟云学术

Incorporating drug delivery into an imaging-driven, mechanics-coupled reaction diffusion model for predicting the response of breast cancer to neoadjuvant chemotherapy: theory and preliminary clinical results

Published:2018-05-17 Issue:10 Volume:63 Page:105015
ISSN:1361-6560
Container-title:Physics in Medicine & Biology
language:
Short-container-title:Phys. Med. Biol.

Author:

Jarrett Angela M,Hormuth David A^ORCID,Barnes Stephanie L,Feng Xinzeng,Huang Wei,Yankeelov Thomas E

Funder

Cancer Prevention and Research Institute of Texas

National Cancer Institute

Publisher

IOP Publishing

Subject

Radiology, Nuclear Medicine and imaging,Radiological and Ultrasound Technology

Link

http://iopscience.iop.org/article/10.1088/1361-6560/aac040/pdf

Reference54 articles.

1. Effects of cell volume fraction changes on apparent diffusion in human cells

2. The integration of quantitative multi-modality imaging data into mathematical models of tumors

3. Integration of diffusion-weighted MRI data and a simple mathematical model to predict breast tumor cellularity during neoadjuvant chemotherapy

4. Parameterizing the Logistic Model of Tumor Growth by DW-MRI and DCE-MRI Data to Predict Treatment Response and Changes in Breast Cancer Cellularity during Neoadjuvant Chemotherapy

5. Longitudinal, intermodality registration of quantitative breast PET and MRI data acquired before and during neoadjuvant chemotherapy: Preliminary results

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