Department of Radiation Oncology; Department of Medical Oncology; Department of Surgery, Division of Neurosurgery; Department of Medicine, Division of Hematology/Oncology
Neoplasms | Neurology | Oncology | Radiology
BACKGROUND: Many meningiomas are identified by imaging and followed, with an assumption that they are WHO Grade I tumors. The purpose of our investigation is to find clinical or imaging predictors of WHO Grade II/III tumors to distinguish them from Grade I meningiomas.
METHODS: Patients with a pathologic diagnosis of meningioma from 2002-2009 were included if they had pre-operative MRI studies and pathology for review. A Neuro-Pathologist reviewed and classified all tumors by WHO 2007. All Brain MRI imaging was reviewed by a Neuro-radiologist. Pathology and Radiology reviews were blinded from each other and clinical course. Recursive partitioning was used to create predictive models for identifying meningioma grades.
RESULTS: Factors significantly correlating with a diagnosis of WHO Grade II-III tumors in univariate analysis: prior CVA (p = 0.005), CABG (p = 0.010), paresis (p = 0.008), vascularity index = 4/4: (p = 0.009), convexity vs other (p = 0.014), metabolic syndrome (p = 0.025), non-skull base (p = 0.041) and non-postmenopausal female (p = 0.045). Recursive partitioning analysis identified four categories: 1. prior CVA, 2. vascular index (vi) = 4 (no CVA), 3. premenopausal or male, vi < 4, no CVA. 4. Postmenopausal, vi < 4, no CVA with corresponding rates of 73, 54, 35 and 10% of being Grade II-III meningiomas.
CONCLUSIONS: Meningioma patients with prior CVA and those grade 4/4 vascularity are the most likely to have WHO Grade II-III tumors while post-menopausal women without these features are the most likely to have Grade I meningiomas. Further study of the associations of clinical and imaging factors with grade and clinical behavior are needed to better predict behavior of these tumors without biopsy.
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Citation: Oncotarget. 2015 Nov 10;6(35):38421-8. doi: 10.18632/oncotarget.5376. Link to article on publisher's site
DOI of Published Version
MRI, cerebrovascular accident, meningioma, tumor vascularity
Varlotto, John; Flickinger, John; Pavelic, Martin T.; Specht, Charles S.; Sheehan, Jonas M.; Timek, Dana T.; Glantz, Michael J.; Sogge, Steven; Dimaio, Christopher; Moser, Richard P.; Yunus, Shakeeb; Fitzgerald, Thomas J.; Upadhyay, Urvashi; Rava, Paul; Tangel, Matthew; Yao, Aaron; and Kanekar, Sangam, "Distinguishing grade I meningioma from higher grade meningiomas without biopsy" (2015). Open Access Articles. 2590.
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