Literature DB >> 1281915

Magnetic resonance imaging and pathological correlates of meningiomas.

T C Chen1, C S Zee, C A Miller, M H Weiss, G Tang, L Chin, M L Levy, M L Apuzzo.   

Abstract

We examined the relationships between specific magnetic resonance imaging features and certain gross and microscopic characteristics of meningiomas, including vascularity, gross texture (consistency), and venous sinus involvement. Magnetic resonance imaging scans, surgery reports, and the histopathological findings of tumors were examined retrospectively in 54 patients. Sinus involvement was accurately predicted on T1-weighted images in 9 of 10 cases (P = 0.001) and tumors with cystic changes in 3 of 3 cases. T1-weighted images were not useful for predicting vascularity unless actual flow voids could be visualized (five of six cases). There was no correlation between T1 signal intensity, tumor consistency, or histological findings. In tumors without detectable vascularity on T1-weighted images, hyperintensity relative to gray matter on T2-weighted images was correlated with increased vascularity (P = 0.004). Tumors with soft consistency (P = 0.007), cellular atypia, invasion, angioblastic, or melanocytic components were also hyperintense, compared with gray matter on T2-weighted images (P = 0.0266). Aggressive meningiomas were found to be more vascular (P = 0.045). No correlation was found between the degree of surrounding edema or contrast enhancement with histopathological findings, vascularity, or consistency.

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Year:  1992        PMID: 1281915     DOI: 10.1227/00006123-199212000-00005

Source DB:  PubMed          Journal:  Neurosurgery        ISSN: 0148-396X            Impact factor:   4.654


  17 in total

1.  Low-field MR imaging of meningiomas including dynamic contrast enhancement study: evaluation of surgical and histopathologic characteristics.

Authors:  S K Yrjänä; H Tuominen; A Karttunen; N Lähdesluoma; E Heikkinen; J Koivukangas
Journal:  AJNR Am J Neuroradiol       Date:  2006 Nov-Dec       Impact factor: 3.825

Review 2.  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

3.  How tissue fluidity influences brain tumor progression.

Authors:  Kaspar-Josche Streitberger; Ledia Lilaj; Felix Schrank; Jürgen Braun; Karl-Titus Hoffmann; Martin Reiss-Zimmermann; Josef A Käs; Ingolf Sack
Journal:  Proc Natl Acad Sci U S A       Date:  2019-12-16       Impact factor: 11.205

Review 4.  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

5.  5-Aminolevulinic acid-induced protoporphyrin IX fluorescence in meningioma: qualitative and quantitative measurements in vivo.

Authors:  Pablo A Valdes; Kimon Bekelis; Brent T Harris; Brian C Wilson; Frederic Leblond; Anthony Kim; Nathan E Simmons; Kadir Erkmen; Keith D Paulsen; David W Roberts
Journal:  Neurosurgery       Date:  2014-03       Impact factor: 4.654

6.  Optic tract edema in a meningioma of the tuberculum sellae.

Authors:  E M Sklar; N J Schatz; J S Glaser; L Sternau; F Seffo
Journal:  AJNR Am J Neuroradiol       Date:  2000-10       Impact factor: 3.825

7.  Meningiomas: correlation between MRI characteristics and operative findings including consistency.

Authors:  Y Suzuki; T Sugimoto; M Shibuya; K Sugita; S J Patel
Journal:  Acta Neurochir (Wien)       Date:  1994       Impact factor: 2.216

8.  Preoperative subtyping of meningiomas by perfusion MR imaging.

Authors:  Hao Zhang; Lars A Rödiger; Tianzhen Shen; Jingtao Miao; Matthijs Oudkerk
Journal:  Neuroradiology       Date:  2008-06-10       Impact factor: 2.804

Review 9.  Meningiomas of the cranial base.

Authors:  R Desai; J Bruce
Journal:  J Neurooncol       Date:  1994       Impact factor: 4.130

10.  Predicting the probability of meningioma recurrence in the preoperative and early postoperative period: a multivariate analysis in the midterm follow-up.

Authors:  Faruk Ildan; Tahsin Erman; A Iskender Göçer; Metin Tuna; Hüseyin Bağdatoğlu; Erdal Cetinalp; Refik Burgut
Journal:  Skull Base       Date:  2007-05
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