Literature DB >> 26722844

Surgically resected skull base meningiomas demonstrate a divergent postoperative recurrence pattern compared with non-skull base meningiomas.

Alireza Mansouri1,2,3, George Klironomos1,2, Shervin Taslimi1,2, Alex Kilian2, Fred Gentili1,2, Osaama H Khan1,2, Kenneth Aldape4, Gelareh Zadeh1,2.   

Abstract

OBJECTIVE The objective of this study was to identify the natural history and clinical predictors of postoperative recurrence of skull base and non-skull base meningiomas. METHODS The authors performed a retrospective hospital-based study of all patients with meningioma referred to their institution from September 1993 to January 2014. The cohort constituted both patients with a first-time presentation and those with evidence of recurrence. Kaplan-Meier curves were constructed for analysis of recurrence and differences were assessed using the log-rank test. Cox proportional hazard regression was used to identify potential predictors of recurrence. RESULTS Overall, 398 intracranial meningiomas were reviewed, including 269 (68%) non-skull base and 129 (32%) skull base meningiomas (median follow-up 30.2 months, interquartile range [IQR] 8.5-76 months). The 10-year recurrence-free survival rates for patients with gross-total resection (GTR) and subtotal resection (STR) were 90% and 43%, respectively. Skull base tumors were associated with a lower proliferation index (0.041 vs 0.062, p = 0.001), higher likelihood of WHO Grade I (85.3% vs 69.1%, p = 0.003), and younger patient age (55.2 vs 58.3 years, p = 0.01). Meningiomas in all locations demonstrated an average recurrence rate of 30% at 100 months of follow-up. Subsequently, the recurrence of skull base meningiomas plateaued whereas non-skull base lesions had an 80% recurrence rate at 230 months follow-up (p = 0.02). On univariate analysis, a prior history of recurrence (p < 0.001), initial WHO grade following resection (p < 0.001), and the inability to obtain GTR (p < 0.001) were predictors of future recurrence. On multivariate analysis a prior history of recurrence (p = 0.02) and an STR (p < 0.01) were independent predictors of a recurrence. Assessing only patients with primary presentations, STR and WHO Grades II and III were independent predictors of recurrence (p < 0.001 for both). CONCLUSIONS Patients with skull base meningiomas present at a younger age and have less aggressive lesions overall. Extent of resection is a key predictor of recurrence and long-term follow-up of meningiomas is necessary, especially for non-skull base tumors. In skull base meningiomas, recurrence risk plateaus approximately 100 months after surgery, suggesting that for this specific cohort, follow-up after 100 months can be less frequent.

Entities:  

Keywords:  CI = confidence interval; EOR = extent of resection; GTR = gross-total resection; IQR = interquartile range; NF2 = neurofibromatosis Type 2; OR = odds ratio; PR = progesterone receptor; STR = subtotal resection; meningioma; postoperative period; recurrence; skull base

Mesh:

Year:  2016        PMID: 26722844     DOI: 10.3171/2015.7.JNS15546

Source DB:  PubMed          Journal:  J Neurosurg        ISSN: 0022-3085            Impact factor:   5.115


  15 in total

1.  Meningiomas: skull base versus non-skull base.

Authors:  Torstein R Meling; Michele Da Broi; David Scheie; Eirik Helseth
Journal:  Neurosurg Rev       Date:  2018-04-07       Impact factor: 3.042

2.  Endoscopic endonasal versus transcranial approach to resection of olfactory groove meningiomas: a systematic review.

Authors:  Aarti Purohit; Roshani Jha; Adham M Khalafallah; Carrie Price; Nicholas R Rowan; Debraj Mukherjee
Journal:  Neurosurg Rev       Date:  2019-11-10       Impact factor: 3.042

3.  Prediction of progression in skull base meningiomas: additional benefits of apparent diffusion coefficient value.

Authors:  Ching-Chung Ko; Sher-Wei Lim; Tai-Yuan Chen; Jeon-Hor Chen; Chien-Feng Li; Yow-Ling Shiue
Journal:  J Neurooncol       Date:  2018-01-20       Impact factor: 4.130

4.  Residual Tumor Volume and Tumor Progression after Subtotal Resection and Observation of WHO Grade I Skull Base Meningiomas.

Authors:  Colin J Przybylowski; Benjamin K Hendricks; Charuta G Furey; Joseph D DiDomenico; Randall W Porter; Nader Sanai; Kaith K Almefty; Andrew S Little
Journal:  J Neurol Surg B Skull Base       Date:  2021-09-09

5.  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

6.  Pre-operative MRI Radiomics for the Prediction of Progression and Recurrence in Meningiomas.

Authors:  Ching-Chung Ko; Yang Zhang; Jeon-Hor Chen; Kai-Ting Chang; Tai-Yuan Chen; Sher-Wei Lim; Te-Chang Wu; Min-Ying Su
Journal:  Front Neurol       Date:  2021-05-14       Impact factor: 4.003

7.  Incidence, Clinico-Radiological Features and Outcome of Skull Base versus Non-Skull Base Meningiomas Treated in Kuala Lumpur General Hospital: A Five-Year Experience.

Authors:  Chan Chee Kong; Regunath Kandasamy; Saffari Haspani; Zamzuri Idris; Jafri Malin Abdullah
Journal:  Malays J Med Sci       Date:  2018-06-28

Review 8.  Advances in Multidisciplinary Management of Skull Base Meningiomas.

Authors:  Tamara Ius; Alessandro Tel; Giuseppe Minniti; Teresa Somma; Domenico Solari; Michele Longhi; Pasquale De Bonis; Alba Scerrati; Mario Caccese; Valeria Barresi; Alba Fiorentino; Leonardo Gorgoglione; Giuseppe Lombardi; Massimo Robiony
Journal:  Cancers (Basel)       Date:  2021-05-28       Impact factor: 6.639

9.  Radiomics approach for prediction of recurrence in skull base meningiomas.

Authors:  Yang Zhang; Jeon-Hor Chen; Tai-Yuan Chen; Sher-Wei Lim; Te-Chang Wu; Yu-Ting Kuo; Ching-Chung Ko; Min-Ying Su
Journal:  Neuroradiology       Date:  2019-07-19       Impact factor: 2.804

10.  Anterior Clinoidal Meningiomas: Meningeal Anatomical Considerations and Surgical Implications.

Authors:  Tao Xu; Yong Yan; Alexander I Evins; Zhenyu Gong; Lei Jiang; Huaiyu Sun; Li Cai; Hongxiang Wang; Weiqing Li; Yicheng Lu; Ming Zhang; Juxiang Chen
Journal:  Front Oncol       Date:  2020-05-25       Impact factor: 6.244

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