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 …
Integrated biophysical modeling and image analysis: application to neuro-oncology
Central nervous system (CNS) tumors come with vastly heterogeneous histologic,
molecular, and radiographic landscapes, rendering their precise characterization …
molecular, and radiographic landscapes, rendering their precise characterization …
[HTML][HTML] 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 …
regimen on a patient-specific basis, would transform oncology. Toward this end, we have …
A mechanically coupled reaction–diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth
DA Hormuth, JA Weis, SL Barnes… - Journal of The …, 2017 - royalsocietypublishing.org
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 …
Convolutional invasion and expansion networks for tumor growth prediction
Tumor growth is associated with cell invasion and mass-effect, which are traditionally
formulated by mathematical models, namely reaction-diffusion equations and biomechanics …
formulated by mathematical models, namely reaction-diffusion equations and biomechanics …
Progress in fully automated abdominal CT interpretation
RM Summers - American Journal of Roentgenology, 2016 - Am Roentgen Ray Soc
OBJECTIVE. Automated analysis of abdominal CT has advanced markedly over just the last
few years. Fully automated assessment of organs, lymph nodes, adipose tissue, muscle …
few years. Fully automated assessment of organs, lymph nodes, adipose tissue, muscle …
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 …
Fractional mathematical oncology: On the potential of non-integer order calculus applied to interdisciplinary models
Mathematical Oncology investigates cancer-related phenomena through mathematical
models as comprehensive as possible. Accordingly, an interdisciplinary approach involving …
models as comprehensive as possible. Accordingly, an interdisciplinary approach involving …
Pancreatic tumor growth prediction with elastic-growth decomposition, image-derived motion, and FDM-FEM coupling
KCL Wong, RM Summers… - IEEE transactions on …, 2016 - ieeexplore.ieee.org
Pancreatic neuroendocrine tumors are abnormal growths of hormone-producing cells in the
pancreas. Unlike the brain which is protected by the skull, the pancreas can be significantly …
pancreas. Unlike the brain which is protected by the skull, the pancreas can be significantly …
Modeling of glioma growth with mass effect by longitudinal magnetic resonance imaging
It is well-known that expanding glioblastomas typically induce significant deformations of the
surrounding parenchyma (ie, the so-called “mass effect”). In this study, we evaluate the …
surrounding parenchyma (ie, the so-called “mass effect”). In this study, we evaluate the …