Head MRI imaging profile of meningioma according to WHO 2016 grading
Keywords:
Meningioma, histopathological grading, MRI characteristicsAbstract
Magnetic resonance imaging (MRI) of meningiomas is essential in predicting their histopathological grade. Meningiomas are the second most common central nervous system neoplasm in adults, usually benign, originating from arachnoid cap cells and categorized according to the WHO classification as benign (grade I), atypical (grade II), and anaplastic (grade III). The study aims to determine the head MRI imaging profile in preoperative meningioma patients confirmed by pathologic results according to WHO 2016 grading. A retrospective study was conducted from January 2017 to March 2022 with 30 samples of meningioma patients who underwent surgery. Preoperative head MRI and pathologic examination were done and tumor location, border, edge, and size were confirmed with pathology results according to WHO 2016 grading. Most patients were 41-50 years old, female (100%), mostly WHO grade I histopathology with transitional type. The most common locations were convexity meningiomas, with the most MRI characteristics of well-defined borders, regular edges, size 0-3 cm, with hypointense T1, hyperintense T2, hyperintense T2 FLAIR, restricted diffusion on DWI, type 2 DCE, homogeneous enhancement pattern, and the most feeding arteries originated from the meningeal artery.
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Ahmad Mir, R., Bhat, M. R., & Salroo, I. N. (2022). Diagnostic accuracy of MRI in internal derangement of knee in comparison to arthroscopy MRI vs Arthroscopy in knee injury. International Journal of Health Sciences, 6(S1), 12383–12402. https://doi.org/10.53730/ijhs.v6nS1.8084
Al-Hamid, R. (2021). Bureaucracy culture change of administrative services on COVID-19 pandemic era. International Journal of Social Sciences and Humanities, 5(3), 192–202. https://doi.org/10.53730/ijssh.v5n3.1720
Barnholtz-Sloan, JS., Kruchiko C. 2007. Meningiomas: causes and risk factors. Neurosurg Focus. 2007,23(4):1-8.
Buerki RA, Horbinski CM, Kruser T, Horowitz PM, James CD, Lukas R V. An overview of meningiomas. Futur Oncol. 2018 Sep;14(21):2161–77.
Carli DF, Sluzewski M, Beute GN, van Rooij WJ. 2010. Complications of particle embolization of meningiomas: frequency, Risk Factors, and Outcome. AJNR Am J Neuroradiol 31:152–154
Chang AS, Ross JS. 2008. Diagnostic neuroradiology: CT, MRI, fMRI, MRS, PET, and Octreotide SPECT. In: Lee JH (ed) Meningiomas, diagnosis, treatment and outcome. Springer, Heidelberg, 55–65Ostrom, Q.T.; Cioffi, G.; Gittleman, H.; Patil, N.; Waite, K.; Kruchko, C.; Barnholtz-Sloan, J.S. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2012–2016. Neuro Oncol. 2019, 21, v1–v100.
Cho, H., Kim, S., & Kang, M. (2020). J Korean Society Radiol. Primary Extracranial Fibrous Meningioma of the Maxillary Sinus: A Case Report and Literature Review, 231.
Cho, H., Kim, S., & Kang, M. (2020). Primary Extracranial Fibrous Meningioma of the Maxillary Sinus: A Case Report and Literature Review. J Korean Soc Radiol, 231.
Hafizah Nur, W. F., Ferriastuti, W., & Soeprijanto, B. (2020). The Correlation between Apparent Diffusion Coefficient Value on MRI and the Pathology Consistency of Meningioma. Biomolecular And Health Science Journal 2020 October Vol 03 (02), 101.
Howlader N, et al. SEER cancer statistics review, 1975-2012. Accessed November 18, 2015.
Huang, R. Y., Bi, W. L., & Griffith, B. (2019). Imaging and diagnostic advances for intracranial meningiomas. Neuro Oncology, 44.
Kunimatsu1, A., Kunimatsu, N., & Kamiya, K. (2016). Variants of meningiomas: a review of imaging findings and clinical features. Japan Radiological Society 2016, 459.
Landriel, F., Black, P., 2012. Meningiomas. In: Ellenbogen, R., Abdulrauf, S., Sekhar, L., Principles of Neurological Surgery. Edition 3. New York: Saunders Elsevier, 541-564.
Lee, Y.S. Molecular Characteristics of Meningiomas. J. Pathol. Transl. Med. 2020, 54, 45–63
Lia, X., Miaoa, Y., & Hana, L. (2019). Meningioma grading using conventional MRI histogram analysis based on 3D tumor measurement. European Journal of Radiology, 45-53.
Louis, D.N.; Ohgaki, H.; Wiestler, O.D.; Cavenee, W.K. WHO Classification of Tumours of the Central Nervous System; World Health Organization Classification of Tumours, 4th ed.; International Agency for Research on Cancer: Lyon, France, 2016; ISBN 978-92-832-4492-9.
Lyndon, D., & Lansley, J. A. (2019). Dural masses: meningiomas and their mimics. Insights into Imaging, 1.
Martins-Filho SN, Paiva C, Azevedo RS, Alves VAF. Histological grading of hepatocellular carcinoma-A systematic review of literature. Front Med. 2017;4
Ostrom QT, Gittleman H, Truitt G, Boscia A, Kruchko C, Barnholtz-Sloan JS. CBTRUS statistical report: primary brain and other central nervous system tumors diagnosed in the United States in 2011-2015. Neuro Oncol 2018; 20: iv1-86.
Ostrom, Q.T.; Cioffi, G.; Gittleman, H.; Patil, N.; Waite, K.; Kruchko, C.; Barnholtz-Sloan, J.S. CBTRUS Statistical Report: Primary Brain and Other Central Nervous System Tumors Diagnosed in the United States in 2012–2016. Neuro Oncol. 2019, 21, v1–v100.
P. Coroller, T., & Linda, W. B. (2017). Radiographic prediction of meningioma grade by semantic and radiomic features. Plos One, 1.
Pieper DR, Al-Mefty O, Hanada Y, Buechner D. 1999. Hyperostosis associated with meningioma of the cranial base: secondary changes or tumor invasion. Neurosurgery 44(4):742–746.
Robin, A. B., Craig, M. H., & Timothy, K. (2018). An overview of meningiomas. Future Oncology, 2161.
Saloner D, Uzelac A, Hetts S, Martin A, Dillon W. 2010. Modern meningioma imaging techniques. J Neurooncol 99:333-340.
Suk Lee, Y., & Lee, Y. S. (2020). Molecular characteristics of meningiomas. Journal of Pathology and Translational Medicine 2020, 45.
Suryasa, I. W., Rodríguez-Gámez, M., & Koldoris, T. (2021). Get vaccinated when it is your turn and follow the local guidelines. International Journal of Health Sciences, 5(3), x-xv. https://doi.org/10.53730/ijhs.v5n3.2938
Tjuatja, F., Mayang, T. B., & Aman, R. A. (2020). Radioterapi pada Meningioma Anak. Journal of the Indonesian Radiation Oncology Society, 7.
Wahyuhadi,, J., Heryani, D., & Basuki, H. (2018). Risk of meningioma associated with exposure of hormonal contraception. A case control study. Majalah Obstetri Gynecology, 36-41.
Zhang H, Rodiger L, Shen T (2008) Perfusion MRI for differentiation of benign, malignant meningiomas. Neuroradiology 50(6):525–530.
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