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Apparent diffusion coefficient histograms may predict low‐grade glioma subtype
Author(s) -
Tozer Daniel J.,
Jäger H. Rolf,
Danchaivijitr Nasuda,
Benton Christopher E.,
Tofts Paul S.,
Rees Jeremy H.,
Waldman Adam D.
Publication year - 2007
Publication title -
nmr in biomedicine
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 1.278
H-Index - 114
eISSN - 1099-1492
pISSN - 0952-3480
DOI - 10.1002/nbm.1091
Subject(s) - histogram , oligodendroglioma , effective diffusion coefficient , medicine , glioma , astrocytoma , standard deviation , pathology , nuclear medicine , pathological , linear discriminant analysis , radiology , mathematics , magnetic resonance imaging , statistics , artificial intelligence , cancer research , computer science , image (mathematics)
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 × 10 −5 ) and at the 10th centile point [AC = 1170 ± 170, OD = (1030 ± 80) × 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. Copyright © 2006 John Wiley & Sons, Ltd.