Literature DB >> 29606048

Relationship between tumor location, size, and WHO grade in meningioma.

Stephen T Magill, Jacob S Young, Ricky Chae, Manish K Aghi, Philip V Theodosopoulos, Michael W McDermott.   

Abstract

OBJECTIVE Prior studies have investigated preoperative risk factors for meningioma; however, no association has been shown between meningioma tumor size and tumor grade. The objective of this study was to investigate the relationship between tumor size and grade in a large single-center study of patients undergoing meningioma resection. METHODS A retrospective chart review of patients undergoing meningioma resection at the University of California, San Francisco, between 1985 and 2015 was performed. Patients with incomplete information, spinal meningiomas, multiple meningiomas, or WHO grade III meningiomas were excluded. The largest tumor dimension was used as a surrogate for tumor size. Univariate and multivariate logistic regression models were used to investigate the relationship between tumor grade and tumor size. A recursive partitioning analysis was performed to identify groups at higher risk for atypical (WHO grade II) meningioma. RESULTS Of the 1113 patients identified, 905 (81%) had a WHO grade I tumor and in 208 (19%) the tumors were WHO grade II. The median largest tumor dimension was 3.6 cm (range 0.2-13 cm). Tumors were distributed as follows: skull base (n = 573, 51%), convexity/falx/parasagittal (n = 431, 39%), and other (n = 109, 10%). On univariate regression, larger tumor size (p < 0.001), convexity/falx/parasagittal location (p < 0.001), and male sex (p < 0.001) were significant predictors of WHO grade II pathology. After controlling for interactions, multivariate regression found male sex (OR 1.74, 95% CI 1.25-2.43), size 3-6 cm (OR 1.69, 95% CI 1.08-2.66), size > 6 cm (OR 3.01, 95% CI 1.53-5.94), and convexity/falx/parasagittal location (OR 1.83, 95% CI 1.19-2.82) to be significantly associated with WHO grade II. Recursive partitioning analysis identified male patients with tumors > 3 cm as a high-risk group (32%) for WHO grade II meningioma. CONCLUSIONS Larger tumor size is associated with a greater likelihood of a meningioma being WHO grade II, independent of tumor location and male sex, which are known risk factors.

Entities:  

Keywords:  RPA = recursive partitioning analysis; atypical; convexity; grade; location; meningioma; parasagittal; skull base; tumor size

Mesh:

Year:  2018        PMID: 29606048     DOI: 10.3171/2018.1.FOCUS17752

Source DB:  PubMed          Journal:  Neurosurg Focus        ISSN: 1092-0684            Impact factor:   4.047


  21 in total

1.  Grading meningiomas utilizing multiparametric MRI with inclusion of susceptibility weighted imaging and quantitative susceptibility mapping.

Authors:  Shun Zhang; Gloria Chia-Yi Chiang; Jacquelyn Marion Knapp; Christina M Zecca; Diana He; Rohan Ramakrishna; Rajiv S Magge; David J Pisapia; Howard Alan Fine; Apostolos John Tsiouris; Yize Zhao; Linda A Heier; Yi Wang; Ilhami Kovanlikaya
Journal:  J Neuroradiol       Date:  2019-05-25       Impact factor: 3.447

2.  WHO grade of intracranial meningiomas differs with respect to patient's age, location, tumor size and peritumoral edema.

Authors:  Anne Ressel; Susanne Fichte; Michael Brodhun; Steffen K Rosahl; Ruediger Gerlach
Journal:  J Neurooncol       Date:  2019-10-01       Impact factor: 4.130

Review 3.  Natural history of intraventricular meningiomas: systematic review.

Authors:  Benedito Jamilson Araújo Pereira; Antônio Nogueira de Almeida; Wellingson Silva Paiva; Paulo Henrique Pires de Aguiar; Manoel Jacobsen Teixeira; Suely Kazue Nagahashi Marie
Journal:  Neurosurg Rev       Date:  2018-08-15       Impact factor: 3.042

4.  Consensus core clinical data elements for meningiomas (v2021.1).

Authors:  Farshad Nassiri; Justin Z Wang; Karolyn Au; Jill Barnholtz-Sloan; Michael D Jenkinson; Kate Drummond; Yueren Zhou; James M Snyder; Priscilla Brastianos; Thomas Santarius; Suganth Suppiah; Laila Poisson; Francesco Gaillard; Mark Rosenthal; Timothy Kaufmann; Derek S Tsang; Kenneth Aldape; Gelareh Zadeh
Journal:  Neuro Oncol       Date:  2022-05-04       Impact factor: 13.029

5.  Contrast-enhanced weighted-T1 and FLAIR sequences in MRI of meningeal lesions.

Authors:  Saeid Roozpeykar; Maryam Azizian; Zohreh Zamani; Marjan Rahimi Farzan; Hossein Abdollahi Veshnavei; Nooshin Tavoosi; Arash Toghyani; Amirhossein Sadeghian; Mahdieh Afzali
Journal:  Am J Nucl Med Mol Imaging       Date:  2022-04-15

6.  Imaging and diagnostic advances for intracranial meningiomas.

Authors:  Raymond Y Huang; Wenya Linda Bi; Brent Griffith; Timothy J Kaufmann; Christian la Fougère; Nils Ole Schmidt; Jöerg C Tonn; Michael A Vogelbaum; Patrick Y Wen; Kenneth Aldape; Farshad Nassiri; Gelareh Zadeh; Ian F Dunn
Journal:  Neuro Oncol       Date:  2019-01-14       Impact factor: 12.300

Review 7.  Hypofractionated stereotactic radiotherapy for intracranial meningioma: a systematic review.

Authors:  Eric K Nguyen; Timothy K Nguyen; Gabe Boldt; Alexander V Louie; Glenn S Bauman
Journal:  Neurooncol Pract       Date:  2018-12-20

8.  Surgery on giant meningiomas in very old patients entails frequent postoperative intracranial hemorrhages and atypical histopathology.

Authors:  Roel H L Haeren; Ilari Rautalin; Christoph Schwartz; Miikka Korja; Mika Niemelä
Journal:  J Neurooncol       Date:  2021-01-21       Impact factor: 4.130

Review 9.  Meningioma: A Review of Clinicopathological and Molecular Aspects.

Authors:  Kristin Huntoon; Angus Martin Shaw Toland; Sonika Dahiya
Journal:  Front Oncol       Date:  2020-10-23       Impact factor: 6.244

Review 10.  Meningioma: A Review of Epidemiology, Pathology, Diagnosis, Treatment, and Future Directions.

Authors:  Christian Ogasawara; Brandon D Philbrick; D Cory Adamson
Journal:  Biomedicines       Date:  2021-03-21
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