Work

Mngi-04. a Proposed Imaging-based Nomenclature System for Meningiomas

Year: 2018
Type: conference-abstract
Abstract: Since Cushing and Eisenhardt first classified tumors of the meninges in their seminal 1938 work, Meningiomas, the general schema by which these tumors are described has changed little. However, over time several sub-classifications have been developed based on more granular anatomic localization, surgical approach, and treatment outcomes. This has led to significant variability in reporting meningioma nomenclature in the clinical and research settings. In the era of modern medicine, MR images are routinely acquired in meningioma patients at diagnosis or preoperatively. Here we evaluated whether a standardized meningioma nomenclature schema based on anatomic MR imaging could be developed and adopted in practice. We reviewed our institutional database of > 2400 meningioma patients with pretreatment MR imaging and categorized the tumors by location based on gadolinium enhanced T1 weighted images. Whenever possible, multiplanar reformations from 3D spoiled gradient recalled acquisition in steady state (SPGR) images were utilized to precisely localize tumor. Meningiomas were classified into convexity, falx, falcotentorial, tentorial, parasagittal, orbital roof, olfactory groove, planum sphenoidale, tuberculum sellae, sphenoid wing, clinoidal, anterior petrous face, internal auditory canal, posterior petrous face, cavernous-gassero-petrosal, cerebellar convexity, clival, petroclival, foramen magnum, and intraventricular (atrial, third, and fourth ventricular) groups. For cases where a meningioma involved multiple locations, nomenclature was assigned based on an anterior-to-posterior and lateral-to-medial structure. Using Cushing’s original nomenclature as a framework, and taking into account newer sub-classifications, we propose an MR imaging-based anatomic nomenclature for meningiomas. Implementing a standardized nomenclature schema for meningioma has the potential to harmonize collaborative research efforts and improve clinical communication between neuro-oncologists, neurosurgeons, radiation-oncologists, and radiologists.
Language: English
Subfield: Epidemiology
Field: Medicine
Open Access status: bronze
OpenAlex ID: W2900033581
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