title: Volumes and growth rates of untreated adult low-grade gliomas indicate risk of early malignant transformation.
abstract: Adult low-grade gliomas (LGG) grow slowly, but most eventually undergo malignant transformation. The relationship between tumour volume, growth rate and the likelihood of transformation is unknown. Twenty-seven patients with biopsy-proven, untreated LGG had at least three MRI studies at 6 monthly intervals. Tumour volumes and growth rates were calculated using semi-automated segmentation, and analysed in a hierarchical regression model. In a 3-year period, patients who showed clinical deterioration and/or new (or significantly increased) contrast enhancement were classified as transformers (T), whilst non-transformers (NT) remained stable clinically and by conventional radiological criteria. All LGG showed progressive growth. Volumes at study entry were smaller in 9NT (57 ml, 95% CI 35-80 ml) than in 18T (83 ml, 95% CI 70-96 ml) (p=0.03). Average annual growth rates were lower in NT (16% (95% CI 9-23%)) than in T (26% (95% CI 20-31%)) (p=0.046), until the penultimate study. Growth in T increased to 56% p.a. (95% CI 20-92%) in the 6 months prior to transformation. In T, tumour volume was the most significant predictor of transformation in the following 12 months. Sequential measurement of LGG volume allows accurate determination of growth rates and identification of patients whose tumours are at high risk of early transformation.
authors.affiliation: National Hospital for Neurology and Neurosurgery, Queen Square, London WC1N 3BG, UK. j.rees@ion.ucl.ac.uk
authors.forename: Jeremy
authors.initials: J
authors.lastname: Rees
authors.forename: Hilary
authors.initials: H
authors.lastname: Watt
authors.forename: H Rolf
authors.initials: HR
authors.lastname: Jäger
authors.forename: Chris
authors.initials: C
authors.lastname: Benton
authors.forename: Daniel
authors.initials: D
authors.lastname: Tozer
authors.forename: Paul
authors.initials: P
authors.lastname: Tofts
authors.forename: Adam
authors.initials: A
authors.lastname: Waldman
mesh_terms: D000328:Adult; D000368:Aged; D000465:Algorithms; D001932:Brain Neoplasms / Q000175:diagnosis* / Q000628:therapy; D002471:Cell Transformation, Neoplastic / Q000473:pathology; D005260:Female; D005910:Glioma / Q000175:diagnosis* / Q000628:therapy; D006801:Humans; D007089:Image Enhancement / Q000379:methods; D007090:Image Interpretation, Computer-Assisted / Q000379:methods*; D021621:Imaging, Three-Dimensional / Q000379:methods*; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008875:Middle Aged; D015203:Reproducibility of Results; D018570:Risk Assessment; D012307:Risk Factors; D012680:Sensitivity and Specificity