Kinetic assessment of breast tumors using high spatial resolution signal enhancement ratio (SER) imaging.
about
Metabolic and vascular features of dynamic contrast-enhanced breast magnetic resonance imaging and (15)O-water positron emission tomography blood flow in breast cancer.Temporal sampling requirements for reference region modeling of DCE-MRI data in human breast cancerInvasive breast cancer: predicting disease recurrence by using high-spatial-resolution signal enhancement ratio imaging.Magnetic resonance in the era of molecular imaging of cancerAccuracy of perfusion MRI with high spatial but low temporal resolution to assess invasive breast cancer response to neoadjuvant chemotherapy: a retrospective study.Association between serial dynamic contrast-enhanced MRI and dynamic 18F-FDG PET measures in patients undergoing neoadjuvant chemotherapy for locally advanced breast cancer.Textural kinetics: a novel dynamic contrast-enhanced (DCE)-MRI feature for breast lesion classification.The diverse pathology and kinetics of mass, nonmass, and focus enhancement on MR imaging of the breast.Semi-quantitative parameter analysis of DCE-MRI revisited: monte-carlo simulation, clinical comparisons, and clinical validation of measurement errors in patients with type 2 neurofibromatosis.Can signal enhancement ratio (SER) reduce the number of recommended biopsies without affecting cancer yield in occult MRI-detected lesions?Optimized breast MRI functional tumor volume as a biomarker of recurrence-free survival following neoadjuvant chemotherapy.Comparison of dynamic contrast-enhanced MRI parameters of breast lesions at 1.5 and 3.0 T: a pilot study.Generalized principles of stochasticity can be used to control dynamic heterogeneityConceptualizing a tool to optimize therapy based on dynamic heterogeneity.Background parenchymal enhancement in the contralateral normal breast of patients undergoing neoadjuvant chemotherapy measured by DCE-MRI.Real-Time Measurement of Functional Tumor Volume by MRI to Assess Treatment Response in Breast Cancer Neoadjuvant Clinical Trials: Validation of the Aegis SER Software Platform.Predicting local recurrence following breast-conserving treatment: parenchymal signal enhancement ratio (SER) around the tumor on preoperative MRI.Multilevel analysis of spatiotemporal association features for differentiation of tumor enhancement patterns in breast DCE-MRI.Identification of Potential MR-Derived Biomarkers for Tumor Tissue Response to 177Lu-Octreotate Therapy in an Animal Model of Small Intestine Neuroendocrine Tumor.Ductal Carcinoma in Situ: Quantitative Preoperative Breast MR Imaging Features Associated with Recurrence after Treatment.Integrated 18F-FDG PET/MRI in breast cancer: early prediction of response to neoadjuvant chemotherapy.
P2860
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P2860
Kinetic assessment of breast tumors using high spatial resolution signal enhancement ratio (SER) imaging.
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
Kinetic assessment of breast t ...... hancement ratio (SER) imaging.
@ast
Kinetic assessment of breast t ...... hancement ratio (SER) imaging.
@en
type
label
Kinetic assessment of breast t ...... hancement ratio (SER) imaging.
@ast
Kinetic assessment of breast t ...... hancement ratio (SER) imaging.
@en
prefLabel
Kinetic assessment of breast t ...... hancement ratio (SER) imaging.
@ast
Kinetic assessment of breast t ...... hancement ratio (SER) imaging.
@en
P2093
P2860
P356
P1476
Kinetic assessment of breast t ...... hancement ratio (SER) imaging.
@en
P2093
Jessica Gibbs
Lisa J Wilmes
Nola M Hylton
Roland G Henry
Xiaoping Zhu
P2860
P304
P356
10.1002/MRM.21361
P577
2007-09-01T00:00:00Z