Dynamic Contrast-Enhanced MRI Perfusion Parameters as Imaging Biomarkers of Angiogenesis

Autor: Hyunyong Lee, Ahwon Lee, Min Sun Jin, Hyun-bin kim, Bong Joo Kang, Sung Hun Kim, Hyeon Sil Lee, Byung Joo Song
Rok vydání: 2016
Předmět:
Vascular Endothelial Growth Factor A
Pathology
Physiology
Angiogenesis
Tumor Physiology
Invasive Ductal Carcinoma
Vascular Permeability
Contrast Media
lcsh:Medicine
Vascular permeability
Cardiovascular Physiology
Biochemistry
Vascular Medicine
Diagnostic Radiology
030218 nuclear medicine & medical imaging
chemistry.chemical_compound
Endocrinology
0302 clinical medicine
Breast Tumors
Basic Cancer Research
Medicine and Health Sciences
Breast MRI
lcsh:Science
skin and connective tissue diseases
Staining
Multidisciplinary
Neovascularization
Pathologic
medicine.diagnostic_test
Radiology and Imaging
Cell Staining
Middle Aged
Prognosis
Magnetic Resonance Imaging
Carcinoma
Ductal
Perfusion
Vascular endothelial growth factor
Oncology
Tumor Angiogenesis
030220 oncology & carcinogenesis
Dynamic contrast-enhanced MRI
Research Article
Adult
medicine.medical_specialty
Imaging Techniques
Research and Analysis Methods
Carcinomas
03 medical and health sciences
Diagnostic Medicine
Growth Factors
medicine
Humans
Aged
Tumor microenvironment
Endocrine Physiology
business.industry
lcsh:R
Biology and Life Sciences
Cancers and Neoplasms
Magnetic resonance imaging
Image Enhancement
chemistry
Specimen Preparation and Treatment
lcsh:Q
business
Biomarkers
Developmental Biology
Zdroj: PLoS ONE, Vol 11, Iss 12, p e0168632 (2016)
PLoS ONE
ISSN: 1932-6203
Popis: Hypoxia in the tumor microenvironment is the leading factor in angiogenesis. Angiogenesis can be identified by dynamic contrast-enhanced breast MRI (DCE MRI). Here we investigate the relationship between perfusion parameters on DCE MRI and angiogenic and prognostic factors in patients with invasive ductal carcinoma (IDC). Perfusion parameters (Ktrans, kep and ve) of 81 IDC were obtained using histogram analysis. Twenty-fifth, 50th and 75th percentile values were calculated and were analyzed for association with microvessel density (MVD), vascular endothelial growth factor (VEGF) and conventional prognostic factors. Correlation between MVD and ve50 was positive (r = 0.33). Ktrans50 was higher in tumors larger than 2 cm than in tumors smaller than 2 cm. In multivariate analysis, Ktrans50 was affected by tumor size and MVD with 12.8% explanation. There was significant association between Ktrans50 and tumor size and MVD. Therefore we conclude that DCE MRI perfusion parameters are potential imaging biomarkers for prediction of tumor angiogenesis and aggressiveness.
Databáze: OpenAIRE
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