Literature DB >> 16829653

Dynamic contrast-enhanced magnetic resonance imaging as an imaging biomarker.

Nola Hylton1.   

Abstract

Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) is being used in oncology as a noninvasive method for measuring properties of the tumor microvasculature. There is potential for DCE-MRI to be used as an imaging biomarker to measure antiangiogenic effects of cancer treatments. This article reviews the general methodology for performing DCE-MRI and discusses existing data and challenges to applying DCE-MRI for treatment response assessment in clinical trials.

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Year:  2006        PMID： 16829653     DOI： 10.1200/JCO.2006.06.8080

Source DB:  PubMed          Journal:  J Clin Oncol        ISSN： 0732-183X            Impact factor:   44.544


  138 in total

1.  Hierarchical alignment of breast DCE-MR images by groupwise registration and robust feature matching.

Authors:  Minjeong Kim; Guorong Wu; Dinggang Shen
Journal:  Med Phys       Date:  2012-01       Impact factor: 4.071

2.  The role of magnetic resonance imaging in oncology.

Authors:  Concepción González Hernando; Laura Esteban; Teresa Cañas; Enrique Van den Brule; Miguel Pastrana
Journal:  Clin Transl Oncol       Date:  2010-09       Impact factor: 3.405

3.  Texture analysis on parametric maps derived from dynamic contrast-enhanced magnetic resonance imaging in head and neck cancer.

Authors:  Jacobus Fa Jansen; Yonggang Lu; Gaorav Gupta; Nancy Y Lee; Hilda E Stambuk; Yousef Mazaheri; Joseph O Deasy; Amita Shukla-Dave
Journal:  World J Radiol       Date:  2016-01-28

Review 4.  Opportunities and challenges facing biomarker development for personalized head and neck cancer treatment.

Authors:  Alexandra Lucs; Benjamin Saltman; Christine H Chung; Bettie M Steinberg; David L Schwartz
Journal:  Head Neck       Date:  2012-01-27       Impact factor: 3.147

5.  Antiangiogenic therapy for primary liver cancer: correlation of changes in dynamic contrast-enhanced magnetic resonance imaging with tissue hypoxia markers and clinical response.

Authors:  Adam C Yopp; Lawrence H Schwartz; Nancy Kemeny; David H Gultekin; Mithat Gönen; Zubin Bamboat; Jinru Shia; Dana Haviland; Michael I D'Angelica; Yuman Fong; Ronald P DeMatteo; Peter J Allen; William R Jarnagin
Journal:  Ann Surg Oncol       Date:  2011-02-01       Impact factor: 5.344

6.  Automation of pattern recognition analysis of dynamic contrast-enhanced MRI data to characterize intratumoral vascular heterogeneity.

Authors:  SoHyun Han; Radka Stoyanova; Hansol Lee; Sean D Carlin; Jason A Koutcher; HyungJoon Cho; Ellen Ackerstaff
Journal:  Magn Reson Med       Date:  2017-07-20       Impact factor: 4.668

7.  A linear algorithm of the reference region model for DCE-MRI is robust and relaxes requirements for temporal resolution.

Authors:  Julio Cárdenas-Rodríguez; Christine M Howison; Mark D Pagel
Journal:  Magn Reson Imaging       Date:  2012-12-08       Impact factor: 2.546

Review 8.  Concerns about anti-angiogenic treatment in patients with glioblastoma multiforme.

Authors:  Joost J C Verhoeff; Olaf van Tellingen; An Claes; Lukas J A Stalpers; Myra E van Linde; Dirk J Richel; William P J Leenders; Wouter R van Furth
Journal:  BMC Cancer       Date:  2009-12-16       Impact factor: 4.430

9.  Noninvasive assessment of tumor microenvironment using dynamic contrast-enhanced magnetic resonance imaging and 18F-fluoromisonidazole positron emission tomography imaging in neck nodal metastases.

Authors:  Jacobus F A Jansen; Heiko Schöder; Nancy Y Lee; Ya Wang; David G Pfister; Matthew G Fury; Hilda E Stambuk; John L Humm; Jason A Koutcher; Amita Shukla-Dave
Journal:  Int J Radiat Oncol Biol Phys       Date:  2009-11-10       Impact factor: 7.038

10.  Effect of the enhancement threshold on the computer-aided detection of breast cancer using MRI.

Authors:  Jacob E D Levman; Petrina Causer; Ellen Warner; Anne L Martel
Journal:  Acad Radiol       Date:  2009-06-09       Impact factor: 3.173
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