| Multiparametric analysis of magnetic resonance images for glioma grading and patient survival time prediction. | |
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MedLine Citation:
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PMID: 21969702 Owner: NLM Status: Publisher |
Abstract/OtherAbstract:
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BackgroundA systematic comparison of magnetic resonance imaging (MRI) options for glioma diagnosis is lacking.PurposeTo investigate multiple MR-derived image features with respect to diagnostic accuracy in tumor grading and survival prediction in glioma patients.Material and MethodsT1 pre- and post-contrast, T2 and dynamic susceptibility contrast scans of 74 glioma patients with histologically confirmed grade were acquired. For each patient, a set of statistical features was obtained from the parametric maps derived from the original images, in a region-of-interest encompassing the tumor volume. A forward stepwise selection procedure was used to find the best combinations of features for grade prediction with a cross-validated logistic model and survival time prediction with a cox proportional-hazards regression.ResultsPresence/absence of enhancement paired with kurtosis of the FM (first moment of the first-pass curve) was the feature combination that best predicted tumor grade (grade II vs. grade III-IV; median AUC = 0.96), with the main contribution being due to the first of the features. A lower predictive value (median AUC = 0.82) was obtained when grade IV tumors were excluded. Presence/absence of enhancement alone was the best predictor for survival time, and the regression was significant (P < 0.0001).ConclusionPresence/absence of enhancement, reflecting transendothelial leakage, was the feature with highest predictive value for grade and survival time in glioma patients. |
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Authors:
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Benjamín Garzón; Kyrre E Emblem; Kim Mouridsen; Baard Nedregaard; Paulina Due-Tønnessen; Terje Nome; John K Hald; Atle Bjørnerud; Asta K Håberg; Yngve Kvinnsland |
Publication Detail:
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Type: JOURNAL ARTICLE Date: 2011-10-3 |
Journal Detail:
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Title: Acta radiologica (Stockholm, Sweden : 1987) Volume: - ISSN: 1600-0455 ISO Abbreviation: - Publication Date: 2011 Oct |
Date Detail:
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Created Date: 2011-10-4 Completed Date: - Revised Date: - |
Medline Journal Info:
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Nlm Unique ID: 8706123 Medline TA: Acta Radiol Country: - |
Other Details:
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Languages: ENG Pagination: - Citation Subset: - |
Affiliation:
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Department of Circulation and Medical Imaging, NTNU, Trondheim, Norway. |
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From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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