Value of magnetic resonance imaging in prediction the histopathologic grade of the meningiomas of the cerebellopontine angle
Main Article Content
Abstract
Purpose: This sudy aims to evaluate the value of magnetic resonance imaging (MRI) in the prediction of histopathologic grade of meningiomas of the cerebellopontine angle. Materials and method: The retrospective study was conducted on 46 patients with meningiomas of the cerebellopontine angle underwent MRI, surgery and had histopathologic report at the Viet Duc University Hospital from August 2019 to June 2020. On imaging, the signs of meningiomas and ADC were described, measured and compared with histopathologic reports. Results: restricted, heterogeneous enhancement, ill-defined, peritumoral edema, irregular tumor shape and invading adjacent structure were significantly correlated with histopathologic grade. The existence of these results improved the likelihood of 19; 10.8; 14.2; 14.2; 12.3 and 78-fold respectively. Grade I meningiomas showed higher ADC and rADC than those of non-grade I meningiomas. The rADC of over or at least 1,0 showed high predictation for grade 1 meningiomas. Conclusion: The characteristics and ADC measurement on MRI showed significant role in predicting the grade of meningiomas at the cerebellopontine angle.
Article Details
Keywords
meningiomas, cereabellopontine angle, magnetic resonance imaging, histopathologic grade
References
2. Gao K, Ma H, Cui Y, et al. Meningiomas of the Cerebellopontine Angle: Radiological Differences in Tumors with Internal Auditory Canal Involvement and Their Influence on Surgical Outcome. PLOS ONE. 2015;10(4):e0122949. doi:10.1371/journal.pone.0122949.
3. Alyamany M, Alshardan MM, Jamea AA, et al. Meningioma Consistency: Correlation Between Magnetic Resonance Imaging Characteristics, Operative Findings, and Histopathological Features. Asian J Neurosurg. 2018;13(2):324-328.doi:10.4103/1793-5482.228515.
4. Maaly MA, Sultan AA. Current role of MRI in cerebellopontine angle lesions. Menoufia Med J. 2016. 29(1):147-51. doi: 10.4103/1110-2098.179006.
5. Spille DC, Sporns PB, Heß K, et al. Prediction of High-Grade Histology and Recurrence in Meningiomas Using Routine Preoperative Magnetic Resonance Imaging: A Systematic Review. World Neurosurg. 2019;128:174-181. doi:10.1016/j.wneu.2019.05.017.
6. Karthigeyan M, Dhandapani S, Salunke P, et al. The Predictive Value of Conventional Magnetic Resonance Imaging Sequences on Operative Findings and Histopathology of Intracranial Meningiomas: A Prospective Study. Neurol India. 2019;67(6):1439. doi:10.4103/0028-3886.273632.
7. Coroller TP, Bi WL, Huynh E, et al. Radiographic prediction of meningioma grade by semantic and radiomic features. PLOS ONE. 2017;12(11):e0187908. doi:10.1371/journal.pone.0187908.
8. Liu Y, Chotai S, Chen M, et al. Preoperative Radiologic Classification of Convexity Meningioma to Predict the Survival and Aggressive Meningioma Behavior. PLoS ONE. 2015;10(3). doi:10.1371/journal.pone.0118908.
9. Szafer A, Zhong J, Anderson Aw, et al. Diffusion-weighted imaging in tissues: theoretical models. NMR Biomed. 1995;8(7-8):289-96.
10. Tamiya T, Ono Y, Matsumota K, et al. Peritumoral brain edema in intracranial meningiomas: effects of radiological and histological factors. Neurosurgery. 2001;49(5):1046-51.
11. Hwang W, Marciscano AE, Kim D, et al. Correlation of Imaging Characteristics With Histopathological WHO Grade in Meningiomas. IJROBP. 2015;93(3):86. https://www.redjournal.org/article/S0360-3016(15)01496-0/pdf.