| Correlations between Perfusion MR Imaging Cerebral Blood Volume, Microvessel Quantification, and Clinical Outcome Using Stereotactic Analysis in Recurrent High-Grade Glioma. | |
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MedLine Citation:
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PMID: 22095961 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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BACKGROUND AND PURPOSE:Quantifying MVA rather than MVD provides better correlation with survival in HGG. This is attributed to a specific "glomeruloid" vascular pattern, which is better characterized by vessel area than number. Despite its prognostic value, MVA quantification is laborious and clinically impractical. The DSC-MR imaging measure of rCBV offers the advantages of speed and convenience to overcome these limitations; however, clinical use of this technique depends on establishing accurate correlations between rCBV, MVA, and MVD, particularly in the setting of heterogeneous vascular size inherent to human HGG.MATERIALS AND METHODS:We obtained preoperative 3T DSC-MR imaging in patients with HGG before stereotactic surgery. We histologically quantified MVA, MVD, and vascular size heterogeneity from CD34-stained 10-μm sections of stereotactic biopsies, and we coregistered biopsy locations with localized rCBV measurements. We statistically correlated rCBV, MVA, and MVD under conditions of high and low vascular-size heterogeneity and among tumor grades. We correlated all parameters with OS by using Cox regression.RESULTS:We analyzed 38 biopsies from 24 subjects. rCBV correlated strongly with MVA (r = 0.83, P < .0001) but weakly with MVD (r = 0.32, P = .05), due to microvessel size heterogeneity. Among samples with more homogeneous vessel size, rCBV correlation with MVD improved (r = 0.56, P = .01). OS correlated with both rCBV (P = .02) and MVA (P = .01) but not with MVD (P = .17).CONCLUSIONS:rCBV provides a reliable estimation of tumor MVA as a biomarker of glioma outcome. rCBV poorly estimates MVD in the presence of vessel size heterogeneity inherent to human HGG. |
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Authors:
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L S Hu; J M Eschbacher; A C Dueck; J E Heiserman; S Liu; J P Karis; K A Smith; W R Shapiro; D S Pinnaduwage; S W Coons; P Nakaji; J Debbins; B G Feuerstein; L C Baxter |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-11-17 |
Journal Detail:
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Title: AJNR. American journal of neuroradiology Volume: - ISSN: 1936-959X ISO Abbreviation: - Publication Date: 2011 Nov |
Date Detail:
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Created Date: 2011-11-18 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8003708 Medline TA: AJNR Am J Neuroradiol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Departments of Radiology and Biostatistics, Mayo Clinic, Phoenix/Scottsdale, Arizona; Department of Neuropathology, Keller Center for Imaging Innovation and Departments of Neuroradiology, Neurosurgery, and Neurology, Barrow Neurological Institute-St. Joseph's Hospital and Medical Center, Phoenix, Arizona; and Department of Radiation Physics, University of California, San Francisco, San Francisco, California. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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