Literature DB >> 18506397

Imaging hemodynamics.

Dominique Jennings1, Natarajan Raghunand, Robert J Gillies.   

Abstract

Microvascular permeability is a pharmacologic indicator of tumor response to therapy, and it is expected that this biomarker will evolve into a clinical surrogate endpoint and be integrated into protocols for determining patient response to antiangiogenic or antivascular therapies. This review discusses the physiological context of vessel permeability in an imaging setting, how it is affected by active and passive transport mechanisms, and how it is described mathematically for both theoretical and complex dynamic microvessel membranes. Many research groups have established dynamic-enhanced imaging protocols for estimating this important parameter. This review discusses those imaging modalities, the advantages and disadvantages of each, and how they compare in terms of their ability to deliver information about therapy-associated changes in microvessel permeability in humans. Finally, this review discusses future directions and improvements needed in these areas.

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Year:  2008        PMID: 18506397      PMCID: PMC3990228          DOI: 10.1007/s10555-008-9157-4

Source DB:  PubMed          Journal:  Cancer Metastasis Rev        ISSN: 0167-7659            Impact factor:   9.264


  146 in total

Review 1.  Ultrastructural studies define soluble macromolecular, particulate, and cellular transendothelial cell pathways in venules, lymphatic vessels, and tumor-associated microvessels in man and animals.

Authors:  Dian Feng; Janice A Nagy; Harold F Dvorak; Ann M Dvorak
Journal:  Microsc Res Tech       Date:  2002-06-01       Impact factor: 2.769

Review 2.  Angiogenesis in psoriasis.

Authors:  D Creamer; D Sullivan; R Bicknell; J Barker
Journal:  Angiogenesis       Date:  2002       Impact factor: 9.596

3.  The number and distribution of capillaries in muscles with calculations of the oxygen pressure head necessary for supplying the tissue.

Authors:  A Krogh
Journal:  J Physiol       Date:  1919-05-20       Impact factor: 5.182

4.  A simple, quantitative method for assessing angiogenesis and antiangiogenic agents using reconstituted basement membrane, heparin, and fibroblast growth factor.

Authors:  A Passaniti; R M Taylor; R Pili; Y Guo; P V Long; J A Haney; R R Pauly; D S Grant; G R Martin
Journal:  Lab Invest       Date:  1992-10       Impact factor: 5.662

Review 5.  New model of tumor angiogenesis: dynamic balance between vessel regression and growth mediated by angiopoietins and VEGF.

Authors:  J Holash; S J Wiegand; G D Yancopoulos
Journal:  Oncogene       Date:  1999-09-20       Impact factor: 9.867

6.  VEGF expression in osteosarcoma correlates with vascular permeability by dynamic MRI.

Authors:  Bang H Hoang; Jonathan P Dyke; Jason A Koutcher; Andrew G Huvos; Hiroo Mizobuchi; Beth Anne Mazza; Richard Gorlick; John H Healey
Journal:  Clin Orthop Relat Res       Date:  2004-09       Impact factor: 4.176

7.  Tumor microvascular changes in antiangiogenic treatment: assessment by magnetic resonance contrast media of different molecular weights.

Authors:  Karl Turetschek; Anda Preda; Viktor Novikov; Robert C Brasch; Hanns J Weinmann; Patrick Wunderbaldinger; Timothy P L Roberts
Journal:  J Magn Reson Imaging       Date:  2004-07       Impact factor: 4.813

8.  The sponge/Matrigel angiogenesis assay.

Authors:  Nasim Akhtar; Erin B Dickerson; Robert Auerbach
Journal:  Angiogenesis       Date:  2002       Impact factor: 9.596

9.  Segmental differentiations of cell junctions in the vascular endothelium. The microvasculature.

Authors:  M Simionescu; N Simionescu; G E Palade
Journal:  J Cell Biol       Date:  1975-12       Impact factor: 10.539

10.  Use of dynamic contrast-enhanced MRI to evaluate acute treatment with ZD6474, a VEGF signalling inhibitor, in PC-3 prostate tumours.

Authors:  D Checkley; J J Tessier; J Kendrew; J C Waterton; S R Wedge
Journal:  Br J Cancer       Date:  2003-11-17       Impact factor: 7.640

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  4 in total

1.  Targeting tumor perfusion and oxygenation to improve the outcome of anticancer therapy.

Authors:  Bénédicte F Jordan; Pierre Sonveaux
Journal:  Front Pharmacol       Date:  2012-05-21       Impact factor: 5.810

2.  Grading of pancreatic neuroendocrine neoplasms using pharmacokinetic parameters derived from dynamic contrast-enhanced MRI.

Authors:  Weiwei Zhao; Zhiyong Quan; Xufang Huang; Jing Ren; Didi Wen; Guangwen Zhang; Zhongqiang Shi; Hong Yin; Yi Huan
Journal:  Oncol Lett       Date:  2018-03-29       Impact factor: 2.967

3.  Assessing Tumour Haemodynamic Heterogeneity and Response to Choline Kinase Inhibition Using Clustered Dynamic Contrast Enhanced MRI Parameters in Rodent Models of Glioblastoma.

Authors:  Sourav Bhaduri; Clémentine Lesbats; Jack Sharkey; Claire Louise Kelly; Soham Mukherjee; Arthur Taylor; Edward J Delikatny; Sungheon G Kim; Harish Poptani
Journal:  Cancers (Basel)       Date:  2022-02-26       Impact factor: 6.639

4.  Reproducibility of magnetic resonance perfusion imaging.

Authors:  Xiaomeng Zhang; Mark D Pagel; Amanda F Baker; Robert J Gillies
Journal:  PLoS One       Date:  2014-02-25       Impact factor: 3.240

  4 in total

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