Literature DB >> 17763357

Fluctuations in tumor blood perfusion assessed by dynamic contrast-enhanced MRI.

Kjetil G Brurberg1, Ilana C Benjaminsen, Liv M R Dørum, Einar K Rofstad.   

Abstract

Temporal heterogeneity in blood perfusion is a common phenomenon in tumors, but data characterizing the nature of the blood flow fluctuations are sparse. This study investigated the occurrence of blood flow fluctuations in A-07 melanoma xenografts by using gadopentetate dimeglumine (Gd-DTPA)-based dynamic contrast-enhanced MRI (DCE-MRI). Each tumor was subjected to two DCE-MRI acquisitions separated by 1 hour. The data were processed by Kety analysis and resulted in two E.F images (E is the initial extraction fraction of Gd-DTPA and F is the perfusion) and two lambda images (lambda is the partition coefficient of Gd-DTPA) for each tumor. The E . F images were used to determine the changes in blood perfusion arising in the time between the two imaging sequences. The lambda images were used to control the reproducibility of the experimental procedure. The study showed that DCE-MRI with subsequent Kety analysis is a useful method for detection of blood flow fluctuations in A-07 tumors, and strongly suggested that the peripheral regions of A-07 tumors are more exposed to temporal changes in blood perfusion than are the central regions. Copyright (c) 2007 Wiley-Liss, Inc.

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Year:  2007        PMID: 17763357     DOI: 10.1002/mrm.21367

Source DB:  PubMed          Journal:  Magn Reson Med        ISSN: 0740-3194            Impact factor:   4.668


  22 in total

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4.  Modeling acute and chronic hypoxia using serial images of 18F-FMISO PET.

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7.  Temporal heterogeneity in blood supply in human tumor xenografts.

Authors:  Kjetil G Brurberg; Jon-Vidar Gaustad; Camilla S Mollatt; Einar K Rofstad
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8.  Principal component analysis enhances SNR for dynamic electron paramagnetic resonance oxygen imaging of cycling hypoxia in vivo.

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Review 9.  Cycling hypoxia and free radicals regulate angiogenesis and radiotherapy response.

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10.  Predicting outcomes in cervical cancer: a kinetic model of tumor regression during radiation therapy.

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