Quantifying Tumor Vascular Heterogeneity with Dynamic Contrast-Enhanced Magnetic Resonance Imaging: A Review
Joint Authors
Yang, Xiangyu
Knopp, Michael V.
Source
Issue
Vol. 2011, Issue 2011 (31 Dec. 2011), pp.1-12, 12 p.
Publisher
Hindawi Publishing Corporation
Publication Date
2011-04-04
Country of Publication
Egypt
No. of Pages
12
Main Subjects
Abstract EN
Tumor microvasculature possesses a high degree of heterogeneity in its structure and function.
These features have been demonstrated to be important for disease diagnosis, response assessment, and treatment planning.
The exploratory efforts of quantifying tumor vascular heterogeneity with DCE-MRI have led to promising results in a number of studies.
However, the methodological implementation in those studies has been highly variable, leading to multiple challenges in data quality and comparability.
This paper reviews several heterogeneity quantification methods, with an emphasis on their applications on DCE-MRI pharmacokinetic parametric maps.
Important methodological and technological issues in experimental design, data acquisition, and analysis are also discussed, with the current opportunities and efforts for standardization highlighted.
American Psychological Association (APA)
Yang, Xiangyu& Knopp, Michael V.. 2011. Quantifying Tumor Vascular Heterogeneity with Dynamic Contrast-Enhanced Magnetic Resonance Imaging: A Review. BioMed Research International،Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-990270
Modern Language Association (MLA)
Yang, Xiangyu& Knopp, Michael V.. Quantifying Tumor Vascular Heterogeneity with Dynamic Contrast-Enhanced Magnetic Resonance Imaging: A Review. BioMed Research International No. 2011 (2011), pp.1-12.
https://search.emarefa.net/detail/BIM-990270
American Medical Association (AMA)
Yang, Xiangyu& Knopp, Michael V.. Quantifying Tumor Vascular Heterogeneity with Dynamic Contrast-Enhanced Magnetic Resonance Imaging: A Review. BioMed Research International. 2011. Vol. 2011, no. 2011, pp.1-12.
https://search.emarefa.net/detail/BIM-990270
Data Type
Journal Articles
Language
English
Notes
Includes bibliographical references
Record ID
BIM-990270