Literature DB >> 15126354

High-resolution magnetic resonance imaging of disparities in the transcapillary transfer rates in orthotopically inoculated invasive breast tumors.

Maya Dadiani1, Raanan Margalit, Noa Sela, Hadassa Degani.   

Abstract

In vivo mapping of the transcapillary fluxes in tumors can help predict the efficacy of delivery of blood-borne anticancer drugs. These fluxes are primarily affected by the vascular permeability and the pressure gradients across the blood vessels' walls. We describe herein high-resolution dynamic contrast-enhanced magnetic resonance imaging of the influx and outflux transcapillary transfer rates in vivo in invasive MDA-MB-231 tumors orthotopically inoculated in severe combined immunodeficient mice. The tumors were noted for rapid growth, impaired drainage of fluid, and subsequent formation of cysts. Consequently, the time evolution of the contrast enhancement, induced by i.v. injection of Gadolinium diethylene-triamine-penta-acetate, exhibited two distinct patterns: transcapillary transfer in the cellular regions and simple diffusion in the cyst fluid. Both processes were analyzed at pixel resolution applying to each a physiological model and a corresponding algorithm. In the cellular region, the influx and outflux transcapillary transfer rates decreased during tumor growth; however, an increased disparity between the transfer constants was observed, with the outflux rate exceeding the influx rate. This quantitative spatial and temporal mapping of this disparity can provide a means to assess the physiological barriers to tracer delivery. It is hypothesized that both the increased disparity in transcapillary transfer rates and impaired fluid drainage in these tumors could arise from the development of interstitial hypertension.

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Year:  2004        PMID: 15126354     DOI: 10.1158/0008-5472.can-03-2665

Source DB:  PubMed          Journal:  Cancer Res        ISSN: 0008-5472            Impact factor:   12.701


  12 in total

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2.  A Metric for Reducing False Positives in the Computer-Aided Detection of Breast Cancer from Dynamic Contrast-Enhanced Magnetic Resonance Imaging Based Screening Examinations of High-Risk Women.

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3.  Distribution of gadomelitol in a human breast tumor model in mice.

Authors:  C Corot; P Robert; E Lancelot; A Martinell; R Santus
Journal:  MAGMA       Date:  2005-07-26       Impact factor: 2.310

4.  In vivo magnetic resonance imaging of the estrogen receptor in an orthotopic model of human breast cancer.

Authors:  Adi Pais; Chidambaram Gunanathan; Raanan Margalit; Inbal Eti Biton; Ady Yosepovich; David Milstein; Hadassa Degani
Journal:  Cancer Res       Date:  2011-10-31       Impact factor: 12.701

5.  A mathematical model of tumour and blood pHe regulation: The HCO3-/CO2 buffering system.

Authors:  Natasha K Martin; Eamonn A Gaffney; Robert A Gatenby; Robert J Gillies; Ian F Robey; Philip K Maini
Journal:  Math Biosci       Date:  2010-12-15       Impact factor: 2.144

Review 6.  Hypoxic stress and cancer: imaging the axis of evil in tumor metastasis.

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7.  On the relationship between the apparent diffusion coefficient and extravascular extracellular volume fraction in human breast cancer.

Authors:  Lori R Arlinghaus; Xia Li; A Ridwan Rahman; E Brian Welch; Lei Xu; John C Gore; Thomas E Yankeelov
Journal:  Magn Reson Imaging       Date:  2011-04-29       Impact factor: 2.546

8.  Characterization of estrogen-receptor-targeted contrast agents in solution, breast cancer cells, and tumors in vivo.

Authors:  Adi Pais; Inbal Eti Biton; Raanan Margalit; Hadassa Degani
Journal:  Magn Reson Med       Date:  2012-08-10       Impact factor: 4.668

9.  Non-invasive imaging of barriers to drug delivery in tumors.

Authors:  Yaron Hassid; Erez Eyal; Raanan Margalit; Edna Furman-Haran; Hadassa Degani
Journal:  Microvasc Res       Date:  2008-06-27       Impact factor: 3.514

10.  Theranostic Role of 32P-ATP as Radiopharmaceutical for the Induction of Massive Cell Death within Avascular Tumor Core.

Authors:  Mirco Galiè; Federico Boschi; Ilaria Scambi; Flavia Merigo; Pasquina Marzola; Luisa Altabella; Umberto Lavagnolo; Andrea Sbarbati; Antonello E Spinelli
Journal:  Theranostics       Date:  2017-09-30       Impact factor: 11.556

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