DCE-MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: pilot study findings.
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DCE-MRI and IVIM-MRI of rabbit Vx2 tumors treated with MR-HIFU-induced mild hyperthermia.Longitudinal, intermodality registration of quantitative breast PET and MRI data acquired before and during neoadjuvant chemotherapy: preliminary results.Evaluation of optimized magnetic resonance perfusion imaging scanning time window after contrast agent injection for differentiating benign and malignant breast lesionsDeformable registration for quantifying longitudinal tumor changes during neoadjuvant chemotherapyUnsupervised deconvolution of dynamic imaging reveals intratumor vascular heterogeneity and repopulation dynamics.Evaluating treatment response using DW-MRI and DCE-MRI in trastuzumab responsive and resistant HER2-overexpressing human breast cancer xenografts.Quantitative analysis of 3-Tesla magnetic resonance imaging in the differential diagnosis of breast lesionsQuantitative discrimination between invasive ductal carcinomas and benign lesions based on semi-automatic analysis of time intensity curves from breast dynamic contrast enhanced MRI.Techniques and applications of dynamic contrast enhanced magnetic resonance imaging in cancerBreast DCE-MRI Kinetic Heterogeneity Tumor Markers: Preliminary Associations With Neoadjuvant Chemotherapy Response.Relating Doses of Contrast Agent Administered to TIC and Semi-Quantitative Parameters on DCE-MRI: Based on a Murine Breast Tumor ModelEarly Prediction and Evaluation of Breast Cancer Response to Neoadjuvant Chemotherapy Using Quantitative DCE-MRI.Feasibility Study of EndoTAG-1, a Tumor Endothelial Targeting Agent, in Combination with Paclitaxel followed by FEC as Induction Therapy in HER2-Negative Breast CancerPredicting the Response of Breast Cancer to Neoadjuvant Therapy Using a Mechanically Coupled Reaction-Diffusion Model.Effect of T2* correction on contrast kinetic model analysis using a reference tissue arterial input function at 7 T.Radiogenomics Monitoring in Breast Cancer Identifies Metabolism and Immune Checkpoints as Early Actionable Mechanisms of Resistance to Anti-angiogenic Treatment.Usefulness of dynamic contrast-enhanced magnetic resonance imaging for predicting treatment response to vinorelbine-cisplatin with or without recombinant human endostatin in bone metastasis of non-small cell lung cancer.Analyzing Spatial Heterogeneity in DCE- and DW-MRI Parametric Maps to Optimize Prediction of Pathologic Response to Neoadjuvant Chemotherapy in Breast Cancer.Models and methods for analyzing DCE-MRI: a review.DCE-MRI Texture Features for Early Prediction of Breast Cancer Therapy ResponseIntratumor partitioning and texture analysis of dynamic contrast-enhanced (DCE)-MRI identifies relevant tumor subregions to predict pathological response of breast cancer to neoadjuvant chemotherapyCharacteristics of quantitative perfusion parameters on dynamic contrast-enhanced MRI in mammographically occult breast cancer.Bloch-Siegert B1-Mapping Improves Accuracy and Precision of Longitudinal Relaxation Measurements in the Breast at 3 T.Three-dimensional Image-based Mechanical Modeling for Predicting the Response of Breast Cancer to Neoadjuvant Therapy.Early prediction of pathological outcomes to neoadjuvant chemotherapy in breast cancer patients using automated breast ultrasound.Increased robustness in reference region model analysis of DCE MRI using two-step constrained approaches.Dynamic contrast-enhanced magnetic resonance imaging for pretreatment prediction of early chemo-radiotherapy response in larynx and hypopharynx carcinoma.Towards personalized computational oncology: from spatial models of tumour spheroids, to organoids, to tissues.Distinguishing benign and malignant breast tumors: preliminary comparison of kinetic modeling approaches using multi-institutional dynamic contrast-enhanced MRI data from the International Breast MR Consortium 6883 trial.Combining multiparametric MRI with receptor information to optimize prediction of pathologic response to neoadjuvant therapy in breast cancer: preliminary results.DCE-MRI Pharmacokinetic-Based Phenotyping of Invasive Ductal Carcinoma: A Radiomic Study for Prediction of Histological Outcomes.Precision Medicine with Imprecise Therapy: Computational Modeling for Chemotherapy in Breast Cancer.Discrimination between malignant and benign mass-like lesions from breast dynamic contrast enhanced MRI: semi-automatic vs. manual analysis of the signal time-intensity curves.Functional imaging of the angiogenic switch in a transgenic mouse model of human breast cancer by dynamic contrast enhanced magnetic resonance imaging.Evaluation of the treatment response to neoadjuvant chemotherapy in locally advanced breast cancer using combined magnetic resonance vascular maps and apparent diffusion coefficient.Early Evaluation of Relative Changes in Tumor Stiffness by Shear Wave Elastography Predicts the Response to Neoadjuvant Chemotherapy in Patients With Breast Cancer.Early Prediction of Response to Neoadjuvant Chemotherapy Using Dynamic Contrast-Enhanced MRI and Ultrasound in Breast Cancer.A light-fluence-independent method for the quantitative analysis of dynamic contrast-enhanced multispectral optoacoustic tomography (DCE MSOT).Bayesian modeling of Dynamic Contrast Enhanced MRI data in cerebral glioma patients improves the diagnostic quality of hemodynamic parameter mapsCan Multi-Parametric MR Based Approach Improve the Predictive Value of Pathological and Clinical Therapeutic Response in Breast Cancer Patients?
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DCE-MRI analysis methods for predicting the response of breast cancer to neoadjuvant chemotherapy: pilot study findings.
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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 09 May 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
DCE-MRI analysis methods for p ...... therapy: pilot study findings.
@en
DCE-MRI analysis methods for p ...... therapy: pilot study findings.
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type
label
DCE-MRI analysis methods for p ...... therapy: pilot study findings.
@en
DCE-MRI analysis methods for p ...... therapy: pilot study findings.
@nl
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DCE-MRI analysis methods for p ...... therapy: pilot study findings.
@en
DCE-MRI analysis methods for p ...... therapy: pilot study findings.
@nl
P2093
P2860
P356
P1476
DCE-MRI analysis methods for p ...... therapy: pilot study findings.
@en
P2093
A Bapsi Chakravarthy
Ana M Grau
Ingrid A Mayer
Ingrid M Meszoely
Jaime Farley
Julie Means-Powell
Lori R Arlinghaus
Mark C Kelley
Melinda Sanders
Nkiruka Atuegwu
P2860
P304
P356
10.1002/MRM.24782
P577
2013-05-09T00:00:00Z