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

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

Item
http://www.wikidata.org/entity/Q34034391
Current and emerging quantitative magnetic resonance imaging methods for assessing and predicting the response of breast cancer to neoadjuvant therapy.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.Integrating Imaging Data into Predictive Biomathematical and Biophysical Models of CancerPredicting in vivo glioma growth with the reaction diffusion equation constrained by quantitative magnetic resonance imaging data.A Predictive Mathematical Modeling Approach for the Study of Doxorubicin Treatment in Triple Negative Breast CancerMulti-site clinical evaluation of DW-MRI as a treatment response metric for breast cancer patients undergoing neoadjuvant chemotherapyComparison of fitting methods and b-value sampling strategies for intravoxel incoherent motion in breast cancerA mechanically coupled reaction-diffusion model for predicting the response of breast tumors to neoadjuvant chemotherapy.Beyond genetics in personalized cancer treatment: assessing dynamics and heterogeneity of tumor responses.A mechanically coupled reaction-diffusion model that incorporates intra-tumoural heterogeneity to predict in vivo glioma growth.Voxelwise analysis of simultaneously acquired and spatially correlated 18 F-fluorodeoxyglucose (FDG)-PET and intravoxel incoherent motion metrics in breast cancer.Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy.An imaging-based stochastic model for simulation of tumour vasculature.Selection and Validation of Predictive Models of Radiation Effects on Tumor Growth Based on Noninvasive Imaging Data.Precision Medicine with Imprecise Therapy: Computational Modeling for Chemotherapy in Breast Cancer.Intravoxel incoherent motion magnetic resonance imaging for breast cancer: A comparison with benign lesions and evaluation of heterogeneity in different tumor regions with prognostic factors and molecular classification
P2860

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

Item
http://www.wikidata.org/entity/Q34034391
description
2011 nî lūn-bûn
@nan
2011 թուականի Սեպտեմբերին հրատարակուած գիտական յօդուած
@hyw
2011 թվականի սեպտեմբերին հրատարակված գիտական հոդված
@hy
2011年の論文
@ja
2011年学术文章
@wuu
2011年学术文章
@zh-cn
2011年学术文章
@zh-hans
2011年学术文章
@zh-my
2011年学术文章
@zh-sg
2011年學術文章
@yue
name
Integration of diffusion-weigh ...... ring neoadjuvant chemotherapy.
@ast
Integration of diffusion-weigh ...... ring neoadjuvant chemotherapy.
@en
Integration of diffusion-weigh ...... ring neoadjuvant chemotherapy.
@nl
type
label
Integration of diffusion-weigh ...... ring neoadjuvant chemotherapy.
@ast
Integration of diffusion-weigh ...... ring neoadjuvant chemotherapy.
@en
Integration of diffusion-weigh ...... ring neoadjuvant chemotherapy.
@nl
prefLabel
Integration of diffusion-weigh ...... ring neoadjuvant chemotherapy.
@ast
Integration of diffusion-weigh ...... ring neoadjuvant chemotherapy.
@en
Integration of diffusion-weigh ...... ring neoadjuvant chemotherapy.
@nl
P1433
P1476
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P5875
P698
P921
P932
P356
P1433
P1476
Integration of diffusion-weigh ...... ring neoadjuvant chemotherapy.
@en
P2093
P2860
P304
P31
P356
P433
P478
P50
P577
P5875
P698
P921
P932