2015
DOI: 10.1016/j.mri.2015.03.005
|View full text |Cite
|
Sign up to set email alerts
|

Cluster analysis of quantitative parametric maps from DCE-MRI: application in evaluating heterogeneity of tumor response to antiangiogenic treatment

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...
1
1

Citation Types

1
33
1

Year Published

2016
2016
2019
2019

Publication Types

Select...
8

Relationship

4
4

Authors

Journals

citations
Cited by 35 publications
(35 citation statements)
references
References 55 publications
1
33
1
Order By: Relevance
“…The intravascular volume may be neglected as it represents a tiny percentage of the total value 5. Water can cross the barriers between the two compartments, thus contributing to mixing, to some extent, towards the R 1 s of the IN and EX compartments.…”
mentioning
confidence: 99%
“…The intravascular volume may be neglected as it represents a tiny percentage of the total value 5. Water can cross the barriers between the two compartments, thus contributing to mixing, to some extent, towards the R 1 s of the IN and EX compartments.…”
mentioning
confidence: 99%
“…Angiogenesis is a crucial biological factor involved in tumor growth, progression, and metastatic spread . Newly developed vessels of tumor show immaturity due to an incomplete endothelial wall .…”
mentioning
confidence: 99%
“…5) and high pre-treatment baseline tumor vascularity may be predictive of response to these therapies (44, 45). Lastly, novel statistical methods with cluster analysis of quantitative parametric maps derived from DCE-MRI datasets may help predict aggressive histology in renal masses (46) and evaluate heterogeneity in tumor response to anti-angiogenic therapy (47). …”
Section: Clinical Applicationsmentioning
confidence: 99%