Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy.
about
Toxicity of MRI and CT contrast agentsImaging radiation response in tumor and normal tissue.DCE-MRI and IVIM-MRI of rabbit Vx2 tumors treated with MR-HIFU-induced mild hyperthermia.Using semi-quantitative dynamic contrast-enhanced magnetic resonance imaging parameters to evaluate tumor hypoxia: a preclinical feasibility study in a maxillofacial VX2 rabbit modelTranslational imaging endpoints to predict treatment response to novel targeted anticancer agents.Magnetic resonance imaging of rectal cancer.Comparison of linear and nonlinear implementation of the compartmental tissue uptake model for dynamic contrast-enhanced MRISurvival and death signals can predict tumor response to therapy after oncogene inactivationAdvanced MRI in malignant neoplasms of the uterus.Optimizing contrast-enhanced magnetic resonance imaging characterization of brain metastases: relevance to stereotactic radiosurgery.Dynamic contrast-enhanced MRI: Study of inter-software accuracy and reproducibility using simulated and clinical data.Incorporating the effects of transcytolemmal water exchange in a reference region model for DCE-MRI analysis: theory, simulations, and experimental results.Incorporating a vascular term into a reference region model for the analysis of DCE-MRI data: a simulation studySegmentation of dynamic contrast enhanced magnetic resonance imaging data.Mechanistic modelling of dynamic MRI data predicts that tumour heterogeneity decreases therapeutic response.Vascular responses to radiotherapy and androgen-deprivation therapy in experimental prostate cancer.Review of treatment assessment using DCE-MRI in breast cancer radiation therapy.Preoperative MRI improves prediction of extensive occult axillary lymph node metastases in breast cancer patients with a positive sentinel lymph node biopsy.Dosimetric feasibility of real-time MRI-guided proton therapyTransmit B1+ field inhomogeneity and T1 estimation errors in breast DCE-MRI at 3 tesla.DCE-MRI assessment of the effect of Epstein-Barr virus-encoded latent membrane protein-1 targeted DNAzyme on tumor vasculature in patients with nasopharyngeal carcinomasThe use of dynamic tracer concentration in veins for quantitative DCE-MRI kinetic analysis in head and neck.Simultaneous T(1) and B(1) (+) mapping using reference region variable flip angle imaging.Applications of molecular imaging.Multimodality functional imaging in radiation therapy planning: relationships between dynamic contrast-enhanced MRI, diffusion-weighted MRI, and 18F-FDG PET.Evaluation of antiangiogenic effects of a new synthetic candidate drug KR-31831 on xenografted ovarian carcinoma using dynamic contrast enhanced MRI.Alterations in anatomic and functional imaging parameters with repeated FDG PET-CT and MRI during radiotherapy for head and neck cancer: a pilot study.Liposomal doxorubicin improves radiotherapy response in hypoxic prostate cancer xenograftsMultiparametric MRI as an outcome predictor for anal canal cancer managed with chemoradiotherapy.Diffusion-weighted imaging and dynamic contrast-enhanced MRI in assessing response and recurrent disease in gynaecological malignancies.Prediction of radiosensitivity in primary central nervous system germ cell tumors using dynamic contrast-enhanced magnetic resonance imaging.The parametric response map is an imaging biomarker for early cancer treatment outcome.DCE-MRI for Pre-Treatment Prediction and Post-Treatment Assessment of Treatment Response in Sites of Squamous Cell Carcinoma in the Head and Neck.Use of Myometrium as an Internal Reference for Endometrial and Cervical Cancer on Multiphase Contrast-Enhanced MRI.Modulation of the anti-cancer efficacy of microtubule-targeting agents by cellular growth conditions.Dynamic Contrast-enhanced MR Imaging in Renal Cell Carcinoma: Reproducibility of Histogram Analysis on Pharmacokinetic Parameters.Understanding the tumor microenvironment and radioresistance by combining functional imaging with global gene expression.The Microenvironment of Cervical Carcinoma Xenografts: Associations with Lymph Node Metastasis and Its Assessment by DCE-MRI.Perfusion parameters of dynamic contrast-enhanced magnetic resonance imaging in patients with rectal cancer: correlation with microvascular density and vascular endothelial growth factor expressionDCE-MRI Perfusion and Permeability Parameters as predictors of tumor response to CCRT in Patients with locally advanced NSCLC.
P2860
Q22306013-6C688D6B-9855-4112-8310-B3198949CB43Q26798266-701D872F-90E8-4577-A04B-92F3F44E18F6Q30388286-79ED730B-B40D-4127-8E20-B49E51F60896Q30409908-7EDC979A-0800-4873-A91E-84960F7EB8AFQ30465097-0078284C-959C-4B0A-81BD-83E970DE7FA5Q30484646-3BD1FFEA-A0C1-45B5-92DE-6DA609E0D6F1Q30489816-235AF697-DAD4-43B5-B62A-1FB504768889Q30574736-0CF500DE-D82E-47A5-A4FC-62DA6B8FE0A0Q30586370-A20DF238-478C-4EC5-913E-EB8194B9985CQ30586979-76206838-DEA9-45E7-A713-1303FD142A46Q31033043-8274D76E-F749-40FA-8AD1-69269719DBE4Q31144432-5DE580B3-D20D-4617-B170-8F93BF5BB19FQ31153802-32D3DEFF-976A-44E9-8CB1-A5F28102C9C9Q31165580-23D37440-31B3-42E4-98DD-BEB2438AF7DBQ33632105-AA1D7A60-6FF8-4C31-B387-737EB65440DFQ34279214-1DDA9B79-F18A-4A79-A0F7-FB89D395044CQ34367593-C4DD75EB-81A1-41E2-BF9E-16C760129C34Q34401140-FDBF88F5-3764-47CC-A1C2-4FC6AC1D5282Q34401925-D0F31DC6-7B12-4071-8675-82929ECD939AQ34537722-657460F1-96C2-455D-833C-2E5399AAA3BAQ34582022-E843F31F-6611-4495-9601-B1AFBE8EFDEEQ34635573-2CD52A11-163D-4565-A5DA-78DF07D423F8Q34940714-ACFC19A8-2BE3-438D-BD9E-7F5E7ACC4621Q35082412-ECDE1F26-97C1-404F-8910-27AF5210972EQ35151522-D506ADE9-8796-4FED-898D-B40F158F7169Q35201734-9DFE8954-8DEC-4ACF-ABA4-453D8870420CQ35219168-738C620B-9217-417D-972F-71FB92734AF1Q35352837-6100A685-42F0-481B-9913-00327886957FQ35579023-C2E6E89F-58EF-4DF6-9EDE-9D77A7E87EADQ35609995-1503B4B8-B7B5-4A6B-B9A0-4545DA4C87F4Q35812789-06D0F318-6E4D-4C59-AD15-7B4E8C17AA9AQ35838767-ED20BB30-A204-42E8-A43C-F6E91590F3D1Q35866622-8C8E8DF4-7B3A-4950-B257-9C4E60D3B547Q36057509-CEFFB0B3-9F66-48C3-B18D-2D2189302512Q36753454-EF1857C4-4887-4EE9-A91F-A2A4A75A50FFQ37067622-8F9769B7-C44D-457A-85C9-2AB3EEB15ADEQ37171084-3D3B1935-8FB5-4525-9146-4073EA5A79F0Q37236037-F9614057-B301-43DA-A631-31AE443150E1Q37329986-1375121D-6BC8-4824-BE97-93A0B03B0EF3Q37352786-8E3EC409-4461-4AFC-880A-746E6B00C77F
P2860
Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy.
description
2007 nî lūn-bûn
@nan
2007年の論文
@ja
2007年論文
@yue
2007年論文
@zh-hant
2007年論文
@zh-hk
2007年論文
@zh-mo
2007年論文
@zh-tw
2007年论文
@wuu
2007年论文
@zh
2007年论文
@zh-cn
name
Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy.
@ast
Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy.
@en
type
label
Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy.
@ast
Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy.
@en
prefLabel
Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy.
@ast
Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy.
@en
P2093
P1433
P1476
Dynamic contrast-enhanced MRI as a predictor of tumour response to radiotherapy
@en
P2093
Kieren G Hollingsworth
Mark A Zahra
P356
10.1016/S1470-2045(06)71012-9
P577
2007-01-01T00:00:00Z