title: Apparent diffusion coefficient histograms may predict low-grade glioma subtype.
abstract: The subtypes of glioma are known to have different prognosis and response to treatment. The purpose of this work was to investigate whether apparent diffusion coefficient (ADC) histograms of untreated low-grade astrocytomas and oligodendrogliomas exhibit different characteristics due to their biological differences, and whether a diagnosis of tumour subtype can be made at presentation using the histogram alone, which, if possible, would have an impact on clinical practise. Fifteen patients with astrocytoma (AC) [11 male (mean age +/- standard deviation) 40 +/- 11 years], nine with oligodendroglioma (OD) (four male, 45 +/- 13 years) and three with oligoastrocytoma (OA) (two male, 60 +/- 11 years) were recruited and diffusion-weighted images (b = 0 and 1000 s mm(-2)) were acquired every 6 months to date or until malignant transformation. Whole tumour ADC histograms were calculated, a multiple discriminant analysis was performed and quantitative morphological parameters extracted, the AC and OD subtypes were then compared using Student's unpaired t-test. Classification of the histograms was also performed. ODs had significantly lower group ADC values than ACs and up to 83% of the subjects could be correctly classified into the OD and AC groups by reference to the histogram. The group differences were most significant for the multiple discriminant analysis (p = 1 x 10(-5)) and at the 10th centile point [AC = 1170 +/- 170, OD = (1030 +/- 80) x 10(-6) mm(2) s(-1)] (p = 0.01). ODs have a lower ADC than ACs with differences throughout the histogram. Both tumour types show similar intra-tumour heterogeneity, as seen from the equal group peak heights, but ACs shows more intra-group heterogeneity. ADC histogram analysis may aid non-invasive sub-classification of low-grade glioma histological subtypes.
authors.affiliation: Department of Neuroinflammation, Institute of Neurology, University College London, Queen Square, London, WC1N 3BG, UK. d.tozer@ion.ucl.ac.uk
authors.forename: Daniel J
authors.initials: DJ
authors.lastname: Tozer
authors.forename: H Rolf
authors.initials: HR
authors.lastname: Jäger
authors.forename: Nasuda
authors.initials: N
authors.lastname: Danchaivijitr
authors.forename: Christopher E
authors.initials: CE
authors.lastname: Benton
authors.forename: Paul S
authors.initials: PS
authors.lastname: Tofts
authors.forename: Jeremy H
authors.initials: JH
authors.lastname: Rees
authors.forename: Adam D
authors.initials: AD
authors.lastname: Waldman
mesh_terms: D000328:Adult; D000368:Aged; D001254:Astrocytoma / Q000145:classification / Q000473:pathology; D001927:Brain Diseases / Q000473:pathology; D001932:Brain Neoplasms / Q000145:classification / Q000473:pathology*; D002114:Calcinosis / Q000473:pathology; D003560:Cysts / Q000473:pathology; D003626:Data Display; D038524:Diffusion Magnetic Resonance Imaging / Q000379:methods*; D016002:Discriminant Analysis; D018450:Disease Progression; D005260:Female; D005910:Glioma / Q000145:classification / Q000473:pathology*; D006801:Humans; D008297:Male; D008875:Middle Aged; D009837:Oligodendroglioma / Q000145:classification / Q000473:pathology