Document Detail

Histogram analysis of MR imaging-derived cerebral blood volume maps: combined glioma grading and identification of low-grade oligodendroglial subtypes.
MedLine Citation:
PMID:  18583405     Owner:  NLM     Status:  MEDLINE    
BACKGROUND AND PURPOSE: Inclusion of oligodendroglial tumors may confound the utility of MR based glioma grading. Our aim was, first, to assess retrospectively whether a histogram-analysis method of MR perfusion images may both grade gliomas and differentiate between low-grade oligodendroglial tumors with or without loss of heterozygosity (LOH) on 1p/19q and, second, to assess retrospectively whether low-grade oligodendroglial subtypes can be identified in a population of patients with high-grade and low-grade astrocytic and oligodendroglial tumors. MATERIALS AND METHODS: Fifty-two patients (23 women, 29 men; mean age, 52 years; range, 19-78 years) with histologically confirmed gliomas were imaged by using dynamic susceptibility contrast MR imaging at 1.5T. Relative cerebral blood volume (rCBV) maps were created, and 4 neuroradiologists defined the glioma volumes independently. Averaged over the 4 observers, a histogram-analysis method was used to assess the normalized histogram peak height of the glioma rCBV distributions. RESULTS: Of the 52 patients, 22 had oligodendroglial tumors. The histogram method was able to differentiate high-grade gliomas (HGGs) from low-grade gliomas (LGGs) (Mann-Whitney U test, P < .001) and to identify low-grade oligodendroglial subtypes (P = .009). The corresponding intraclass correlation coefficients were 0.902 and 0.801, respectively. The sensitivity and specificity in terms of differentiating low-grade oligodendroglial tumors without LOH on 1p/19q from the other tumors was 100% (6/6) and 91% (42/46), respectively. CONCLUSION: With histology as a reference, our results suggest that histogram analysis of MR imaging-derived rCBV maps can differentiate HGGs from LGGs as well as low-grade oligodendroglial subtypes with high interobserver agreement. Also, the method was able to identify low-grade oligodendroglial tumors without LOH on 1p/19q in a population of patients with astrocytic and oligodendroglial tumors.
K E Emblem; D Scheie; P Due-Tonnessen; B Nedregaard; T Nome; J K Hald; K Beiske; T R Meling; A Bjornerud
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Publication Detail:
Type:  Journal Article; Research Support, Non-U.S. Gov't     Date:  2008-06-26
Journal Detail:
Title:  AJNR. American journal of neuroradiology     Volume:  29     ISSN:  1936-959X     ISO Abbreviation:  AJNR Am J Neuroradiol     Publication Date:  2008 Oct 
Date Detail:
Created Date:  2008-10-09     Completed Date:  2008-12-23     Revised Date:  -    
Medline Journal Info:
Nlm Unique ID:  8003708     Medline TA:  AJNR Am J Neuroradiol     Country:  United States    
Other Details:
Languages:  eng     Pagination:  1664-70     Citation Subset:  IM    
Department of Medical Physics, Rikshospitalet University Hospital, Oslo, Norway.
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MeSH Terms
Blood Volume / physiology*
Brain Neoplasms / blood supply*,  diagnosis,  genetics,  pathology
Diagnosis, Differential
Glioma / blood supply*,  diagnosis,  pathology
Image Processing, Computer-Assisted / methods*
Loss of Heterozygosity
Magnetic Resonance Angiography / methods*
Middle Aged
Oligodendroglioma / blood supply*,  diagnosis,  genetics,  pathology
Polymerase Chain Reaction
Sensitivity and Specificity

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