Prediction of Intra Operative Tumor Consistency and Histopathological Subtype with Preoperative MR Imaging in Intracranial Meningiomas – A Prospective Analysis
Journal Title: Chettinad Health City Medical Journal - Year 2017, Vol 6, Issue 1
Abstract
Aim : To establish the correlation between Magnetic Resonance Imaging (MRI) characteristics and intra-opera- tive consistency of meningiomas and establish the correlation between MRI characteristics and histological subtype of meningiomas. Materials and Methods : This is a prospective analytical study. All the cases of intracranial meningiomas diagnosed and operated at the Department of Neurosurgery, Chettinad Hospital and Research Institute, Chennai during the 2 year period Jan 2014 to Dec 2015, totally 25 patients were included in the study. Patient clinical details including history and examination findings were noted. The MRI findings including T1 and T2 image characteris- tics of the tumors were recorded and graded preoperatively based on the previous studies as mentioned below. Intraoperative consistency of the tumor was also noted and histopathological type of the tumor was also recorded. Patient clinical details including history and examination findings were noted. The MRI findings including T1 and T2 image characteristics of the tumor were recorded and graded preoperatively based on the previous studies as mentioned below. Intraoperative consistency of the tumor was also noted and histopathological type of the tumor was also recorded. Results : Preoperative prediction of the tumor consistency from the MRI correlated with the actual intra-opera- tive consistency in 64% of cases and preoperative prediction of the pathological type from the MRI correlated with actual histopathological report in 36% of cases. Conclusion : MRI is useful in prediction of intra-operative consistency of meningioma to a larger extent but a prediction of histopathological subtypes on the basis of MRI has not been possible to similar degree possibly because of varying number of subtypes.
Authors and Affiliations
Karthikeyan KV, Krishnakumar M, Ramesh VG, Siddarth S, Jayendra P
Keywords
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