Literature DB >> 22743797

Predictors of meningioma consistency: A study in 243 consecutive cases.

Bunpot Sitthinamsuwan1, Inthira Khampalikit, Sarun Nunta-aree, Prajak Srirabheebhat, Teerapol Witthiwej, Akkapong Nitising.   

Abstract

BACKGROUND: Meningioma is a common neoplasm primarily arising in the central nervous system. Its consistency is considered to be one of the critical prognostic factors for determining surgical resectability. The present study endeavored to investigate predictive factors associated with the tumor consistency.
METHODS: Two hundred and forty-three consecutive participants who underwent resective surgery of meningioma were examined. The authors designed an objective grading system for meningioma consistency and utilized it for assessing consistency among all cases. We focused on the relationship between preoperative tumor characteristics on neuroimaging studies and the consistency.
RESULTS: The tumor attributes on T2-weighted image (T2WI) and fluid attenuated inversion recovery (FLAIR) image were significantly correlated with the tumor consistency (p = 0.004 and 0.045, respectively). The hypointense tumors on both MRI sequences tended to be hard, whereas the tumors showing hypersignal intensity were associated with soft consistency. There was no correlation between the consistency and age, gender, duration of neurologic symptoms, tumor location, size, calcification, cystic portion, en plague appearance, tumor-brain contact interface expressed by cerebrospinal fluid (CSF) cleft, perilesional vasogenic edema, bony status, features on T1-weighted image (T1WI) and pattern of contrast enhancement. In multiple logistic regression analysis, the tumor characteristics on T2WI and FLAIR image were independent factors significantly correlated with the tumor consistency (p = 0.005 and 0.041, respectively). The tumor consistency was also correlated with operative radicalness as evaluated by the Simpson criteria.
CONCLUSIONS: Signal intensity on T2WI and FLAIR image can be used for insinuating meningioma consistency. Presurgical prediction of the consistency is highly valuable in operative planning, particularly in arduous cases.

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Year:  2012        PMID: 22743797     DOI: 10.1007/s00701-012-1427-9

Source DB:  PubMed          Journal:  Acta Neurochir (Wien)        ISSN: 0001-6268            Impact factor:   2.216


  7 in total

Review 1.  Predicting Meningioma Consistency on Preoperative Neuroimaging Studies.

Authors:  Mark S Shiroishi; Steven Y Cen; Benita Tamrazi; Francesco D'Amore; Alexander Lerner; Kevin S King; Paul E Kim; Meng Law; Darryl H Hwang; Orest B Boyko; Chia-Shang J Liu
Journal:  Neurosurg Clin N Am       Date:  2016-02-18       Impact factor: 2.509

Review 2.  Can MRI predict meningioma consistency?: a correlation with tumor pathology and systematic review.

Authors:  Amy Yao; Margaret Pain; Priti Balchandani; Raj K Shrivastava
Journal:  Neurosurg Rev       Date:  2016-11-21       Impact factor: 3.042

3.  Secretory meningiomas: clinical, radiological and pathological findings in 70 consecutive cases at one institution.

Authors:  Dai-Jun Wang; Qing Xie; Ye Gong; Yin Wang; Hai-Xia Cheng; Ying Mao; Ping Zhong; Feng-Ping Huang; Kang Zheng; Yong-Fei Wang; Wei-Min Bao; Bo-Jie Yang; Hong Chen; Li-Qian Xie; Ming-Zhe Zheng; Hai-Liang Tang; Hong-Da Zhu; Xian-Cheng Chen; Liang-Fu Zhou
Journal:  Int J Clin Exp Pathol       Date:  2013-02-15

Review 4.  Utility of preoperative meningioma consistency measurement with magnetic resonance elastography (MRE): a review.

Authors:  Alexander G Chartrain; Mehmet Kurt; Amy Yao; Rui Feng; Kambiz Nael; J Mocco; Joshua B Bederson; Priti Balchandani; Raj K Shrivastava
Journal:  Neurosurg Rev       Date:  2017-05-31       Impact factor: 3.042

5.  Predicting Consistency of Meningioma by Magnetic Resonance Imaging.

Authors:  Kyle A Smith; John D Leever; Roukoz B Chamoun
Journal:  J Neurol Surg B Skull Base       Date:  2015-01-21

6.  Meningioma Consistency: Correlation Between Magnetic Resonance Imaging Characteristics, Operative Findings, and Histopathological Features.

Authors:  Mahmoud Alyamany; Mohammad M Alshardan; Abdullah Abu Jamea; Nahid ElBakry; Lahbib Soualmi; Yasser Orz
Journal:  Asian J Neurosurg       Date:  2018 Apr-Jun

7.  Features of tumor texture influence surgery and outcome in intracranial meningioma.

Authors:  Thomas Sauvigny; Franz L Ricklefs; Lena Hoffmann; Raphael Schwarz; Manfred Westphal; Nils Ole Schmidt
Journal:  Neurooncol Adv       Date:  2020-09-10
  7 in total

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