title: Correlation between magnetic resonance imaging grading and pathological grading in meningioma.
abstract: OBJECTIVE
  This study investigated the specific preoperative MRI features of patients with intracranial meningiomas that correlate with pathological grade and provide appropriate preoperative planning.
  
  
  METHODS
  From 2006 to 2012, 120 patients (36 men and 84 women, age range 20-89 years) with newly diagnosed symptomatic intracranial meningiomas undergoing resection were retrospectively analyzed in terms of radiological features of preoperative MRI. There were 90 WHO Grade I and 30 WHO Grade II or III meningiomas. The relationships between MRI features and WHO histopathological grade were analyzed and scored quantitatively.
  
  
  RESULTS
  According to the results of multivariate logistic regression analysis, age ≥ 75 years, indistinct tumorbrain interface, positive capsular enhancement, and heterogeneous tumor enhancement were identified factors in the prediction of advanced histopathological grade. The prediction model was quantified as a scoring scale: 2 × (age) + 5 × (tumor-brain interface) + 3 × (capsular enhancement) + 2 × (tumor enhancement). The calculated score correlated positively with the probability of high-grade meningioma.
  
  
  CONCLUSIONS
  This scoring approach may be useful for clinicians in determining therapeutic strategy and in surgical planning for patients with intracranial meningiomas.
authors.affiliation: Department of Neurological Surgery.
authors.forename: Bon-Jour
authors.initials: BJ
authors.lastname: Lin
authors.forename: Kuan-Nein
authors.initials: KN
authors.lastname: Chou
authors.forename: Hung-Wen
authors.initials: HW
authors.lastname: Kao
authors.forename: Chin
authors.initials: C
authors.lastname: Lin
authors.forename: Wen-Chiuan
authors.initials: WC
authors.lastname: Tsai
authors.forename: Shao-Wei
authors.initials: SW
authors.lastname: Feng
authors.forename: Meei-Shyuan
authors.initials: MS
authors.lastname: Lee
authors.forename: Dueng-Yuan
authors.initials: DY
authors.lastname: Hueng
mesh_terms: D000328:Adult; D000368:Aged; D000369:Aged, 80 and over; D000375:Aging / Q000473:pathology; D001921:Brain / Q000473:pathology; D001932:Brain Neoplasms / Q000473:pathology*; D005260:Female; D006801:Humans; D007091:Image Processing, Computer-Assisted; D008279:Magnetic Resonance Imaging / Q000379:methods*; D008297:Male; D008579:Meningioma / Q000473:pathology*; D008875:Middle Aged; D060787:Neoplasm Grading / Q000379:methods; D011237:Predictive Value of Tests; D012189:Retrospective Studies; D055815:Young Adult
keywords: ADC = apparent diffusion coefficient; DWI = diffusion-weighted imaging; FLAIR = fluidattenuated inversion recovery; OR = odds ratio; WHO grade; histopathological; magnetic resonance imaging; meningioma; oncology; radiological prediction