A mechanically coupled reaction-diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy. - sprookjes - yvandenbroek - TriplyDB

A mechanically coupled reaction-diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy.

A mechanically coupled reaction-diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy.

http://www.wikidata.org/entity/Q37218930

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Current advances in mathematical modeling of anti-cancer drug penetration into tumor tissues Theory and Experimental Validation of a Spatio-temporal Model of Chemotherapy Transport to Enhance Tumor Cell Kill MR Imaging Biomarkers in Oncology Clinical Trials Predicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data.Deformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapy Multimodality functional imaging in radiation therapy planning: relationships between dynamic contrast-enhanced MRI, diffusion-weighted MRI, and 18F-FDG PET.Toward a science of tumor forecasting for clinical oncology.Multi-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapy Predicting the Response of Breast Cancer to Neoadjuvant Therapy Using a Mechanically Coupled Reaction-Diffusion Model.Selection, calibration, and validation of models of tumor growth.A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth.Multi-scale Modeling in Clinical Oncology: Opportunities and Barriers to Success.Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy.An inverse problem formulation for parameter estimation of a reaction-diffusion model of low grade gliomas.Selection and Validation of Predictive Models of Radiation Effects on Tumor Growth Based on Noninvasive Imaging Data.Biophysical Modeling of In Vivo Glioma Response After Whole-Brain Radiation Therapy in a Murine Model of Brain Cancer.Mechanically Coupled Reaction-Diffusion Model to Predict Glioma Growth: Methodological Details.

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A mechanically coupled reaction-diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy.

http://www.wikidata.org/entity/Q37218930

description

article científic

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article scientifique

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articolo scientifico

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artigo científico

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bilimsel makale

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scientific article published on 06 August 2013

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vedecký článok

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vetenskaplig artikel

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videnskabelig artikel

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vědecký článek

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name

A mechanically coupled reactio ...... s to neoadjuvant chemotherapy.

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A mechanically coupled reactio ...... s to neoadjuvant chemotherapy.

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type

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A mechanically coupled reactio ...... s to neoadjuvant chemotherapy.

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A mechanically coupled reactio ...... s to neoadjuvant chemotherapy.

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prefLabel

A mechanically coupled reactio ...... s to neoadjuvant chemotherapy.

@en

A mechanically coupled reactio ...... s to neoadjuvant chemotherapy.

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Physics in Medicine and Biology

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A mechanically coupled reactio ...... rs to neoadjuvant chemotherapy

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A Bapsi Chakravarthy

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Jaime Farley

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Lori R Arlinghaus

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Thomas E Yankeelov

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Vandana Abramson

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Xia Li

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P2860

Cell movement is guided by the rigidity of the substrate.

Micro-environmental mechanical stress controls tumor spheroid size and morphology by suppressing proliferation and inducing apoptosis in cancer cells

Tensional homeostasis and the malignant phenotype

Automatic generation of boundary conditions using demons nonrigid image registration for use in 3-D modality-independent elastography.

Assessment of hepatic fibrosis with magnetic resonance elastography.

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.

Collagen density promotes mammary tumor initiation and progression

An image-driven parameter estimation problem for a reaction-diffusion glioma growth model with mass effects

Validation of an algorithm for the nonrigid registration of longitudinal breast MR images using realistic phantoms.

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

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5851-5866

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10.1088/0031-9155/58/17/5851

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23920113

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