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Imaging score for differentiation of meningioma grade.
Funari, Abigail; De la Garza Ramos, Rafael; Cezayirli, Phillip; Gelfand, Yaroslav; Longo, Michael; Ahmad, Samuel; Rahman, Sadiq; Boyke, Andre E; Levitt, Alex; Hsu, Kevin; Agarwal, Vijay.
Afiliación
  • Funari A; Albert Einstein College of Medicine, Department of Neurological Surgery, Bronx, NY, 10467, USA. abigail.funari@einsteinmed.edu.
  • De la Garza Ramos R; Albert Einstein College of Medicine, Department of Neurological Surgery, Bronx, NY, 10467, USA.
  • Cezayirli P; Albert Einstein College of Medicine, Department of Neurological Surgery, Bronx, NY, 10467, USA.
  • Gelfand Y; Albert Einstein College of Medicine, Department of Neurological Surgery, Bronx, NY, 10467, USA.
  • Longo M; Albert Einstein College of Medicine, Department of Neurological Surgery, Bronx, NY, 10467, USA.
  • Ahmad S; Vanderbilt University Medical Center, Department of Neurosurgery, Nashville, TN, 37232, USA.
  • Rahman S; Albert Einstein College of Medicine, Department of Neurological Surgery, Bronx, NY, 10467, USA.
  • Boyke AE; Albert Einstein College of Medicine, Department of Neurological Surgery, Bronx, NY, 10467, USA.
  • Levitt A; Albert Einstein College of Medicine, Department of Neurological Surgery, Bronx, NY, 10467, USA.
  • Hsu K; Jacobi Medical Center, Department of Radiology, Bronx, NY, 10461, USA.
  • Agarwal V; Montefiore Medical Center, Department of Radiology, Division of Neuroradiology, Bronx, NY, 10467, USA.
Neuroradiology ; 65(3): 453-462, 2023 Mar.
Article en En | MEDLINE | ID: mdl-36504373
PURPOSE: We sought to establish a comprehensive imaging score indicating the likelihood of higher WHO grade meningiomas pre-operatively. METHODS: All surgical intracranial meningioma patients at our institution between 2014 and 2018 underwent retrospective chart review. Preoperative MRI sequences were reviewed, and imaging features were included in the score based on statistical and clinical significance. Point values for each significant feature were assigned based on the beta coefficients obtained from multivariate analysis. The imaging score was calculated by adding up the points, for a total score of 0 to 5. The predictive ability of the score to identify higher-grade meningiomas was evaluated. RESULTS: Ninety patients, 50% of whom had a postoperative diagnosis of WHO grade II meningioma, were included. The mean age for the population was 59.9 years and 70% were female. Tumor volume ≥ 36.0 cc was assigned 2 points, presence of irregular tumor borders was assigned 2 points, and presence of peritumoral edema was assigned 1 point. The probability of having a WHO grade II meningioma was 0% with a score of 0, 25.0% with a score of 1, 38.5% with a score of 2, 65.4% with a score of 3, and 83.3% with a score of 4 or greater. A threshold of ≥ 3 points achieved a recall of 0.80, precision of 0.73, F1-score of 0.77, accuracy of 0.76, and AUC of 0.82. CONCLUSION: The proposed imaging scoring system had good predictive capability for WHO grade II meningiomas with good discrimination and calibration. External validation is needed.
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Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Meníngeas / Meningioma Tipo de estudio: Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Neuroradiology Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Bases de datos: MEDLINE Asunto principal: Neoplasias Meníngeas / Meningioma Tipo de estudio: Prognostic_studies Límite: Female / Humans / Male / Middle aged Idioma: En Revista: Neuroradiology Año: 2023 Tipo del documento: Article País de afiliación: Estados Unidos