Quantitative magnetic resonance imaging and tumor forecasting of breast cancer patients in the community setting
This protocol describes a complete data acquisition, analysis and computational forecasting
pipeline for employing quantitative MRI data to predict the response of locally advanced …
pipeline for employing quantitative MRI data to predict the response of locally advanced …
Integrating quantitative assays with biologically based mathematical modeling for predictive oncology
We provide an overview on the use of biological assays to calibrate and initialize
mechanism-based models of cancer phenomena. Although artificial intelligence methods …
mechanism-based models of cancer phenomena. Although artificial intelligence methods …
A mechanically coupled reaction–diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth
While gliomas have been extensively modelled with a reaction–diffusion (RD) type equation
it is most likely an oversimplification. In this study, three mathematical models of glioma …
it is most likely an oversimplification. In this study, three mathematical models of glioma …
Evidence for the role of intracellular water lifetime as a tumour biomarker obtained by in vivo field‐cycling relaxometry
It was established through in vivo T1 measurements at low magnetic fields that tumour cells
display proton T1 values that are markedly longer than those shown by healthy tissue …
display proton T1 values that are markedly longer than those shown by healthy tissue …
Three-dimensional image-based mechanical modeling for predicting the response of breast cancer to neoadjuvant therapy
The use of quantitative medical imaging data to initialize and constrain mechanistic
mathematical models of tumor growth has demonstrated a compelling strategy for predicting …
mathematical models of tumor growth has demonstrated a compelling strategy for predicting …
Incorporating drug delivery into an imaging-driven, mechanics-coupled reaction diffusion model for predicting the response of breast cancer to neoadjuvant …
Clinical methods for assessing tumor response to therapy are largely rudimentary,
monitoring only temporal changes in tumor size. Our goal is to predict the response of breast …
monitoring only temporal changes in tumor size. Our goal is to predict the response of breast …
Quantitative in vivo imaging to enable tumour forecasting and treatment optimization
Current clinical decision-making in oncology relies on averages of large patient populations
to both assess tumour status and treatment outcomes. However, cancers exhibit an inherent …
to both assess tumour status and treatment outcomes. However, cancers exhibit an inherent …
Towards integration of 64Cu-DOTA-trastuzumab PET-CT and MRI with mathematical modeling to predict response to neoadjuvant therapy in HER2 + breast cancer
While targeted therapies exist for human epidermal growth factor receptor 2 positive
(HER2+) breast cancer, HER2+ patients do not always respond to therapy. We present the …
(HER2+) breast cancer, HER2+ patients do not always respond to therapy. We present the …
Calibrating a predictive model of tumor growth and angiogenesis with quantitative MRI
The spatiotemporal variations in tumor vasculature inevitably alters cell proliferation and
treatment efficacy. Thus, rigorous characterization of tumor dynamics must include a …
treatment efficacy. Thus, rigorous characterization of tumor dynamics must include a …
Mechanically coupled reaction-diffusion model to predict glioma growth: methodological details
Biophysical models designed to predict the growth and response of tumors to treatment
have the potential to become a valuable tool for clinicians in care of cancer patients …
have the potential to become a valuable tool for clinicians in care of cancer patients …