| Investigation of a Logistic Model for T2* Dynamic Susceptibility Contrast Magnetic Resonance Imaging (dscMRI) Perfusion Studies. | |
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MedLine Citation:
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PMID: 22082544 Owner: NLM Status: In-Data-Review |
Abstract/OtherAbstract:
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ABSTRACT: There are a number of T1- and T2-based dynamic contrast-enhanced magnetic resonance imaging pharmacokinetic modeling approaches to study cancer microvasculature. Alternatively, model-free approaches offer an easy, quantitative assessment of microcirculation. In this work, we investigate a 6-parameter model-free approach applied to a T2*-weighted echo-planar imaging bolus response curve. We tested this new approach on a small cohort of patients with clinically diagnosed primary rectal carcinoma before adjuvant chemoradiotherapy and surgical excision. Comparison with healthy muscle tissue shows that logistic parameters P1/P2, P4, and P5 offer good discrimination between tumor and healthy tissue. Bolus response logistic parameters P4 and P5 have been implicated in previous T1-based works as being important in the assessment of cancer malignancy. Further comparison of T2* parameters with signal attenuation amplitude (maximum signal drop) and percentage baseline signal loss also corroborates the models' ability to quantify the microenvironment. |
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Authors:
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Graeme M Wardlaw; Raimond Wong; Colm Boylan; Ryan Rebello; Michael D Noseworthy |
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Publication Detail:
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Type: Journal Article |
Journal Detail:
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Title: Journal of computer assisted tomography Volume: 35 ISSN: 1532-3145 ISO Abbreviation: J Comput Assist Tomogr Publication Date: 2011 Nov |
Date Detail:
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Created Date: 2011-11-15 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 7703942 Medline TA: J Comput Assist Tomogr Country: United States |
Other Details:
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Languages: eng Pagination: 728-33 Citation Subset: IM |
Affiliation:
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From the *Medical Physics & Applied Radiation Sciences, McMaster University; †Brain-Body Institute, St. Joseph's Healthcare; ‡Department of Oncology, Medicine, McMaster University; §Department of Diagnostic Imaging, St. Joseph's Healthcare; and ∥Electrical & Computer Engineering and¶School of Biomedical Engineering, McMaster University, Hamilton, Ontario, Canada. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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