Literature DB >> 8232883

MRI of intracranial meningiomas: correlations with histology and physical consistency.

P Carpeggiani1, G Crisi, C Trevisan.   

Abstract

Magnetic resonance imaging (MRI) appearances of 43 intracranial meningiomas were reviewed and correlated with their histology and consistency at surgery and on pathological examination. There was a statistically significant prevalence of hard tumours within the fibroblastic subtypes. No statistically significant correlation between signal intensity and histology or consistency was found. A meningioma hyperintense on T2-weighted images is, however, unlikely to be fibroblastic or hard.

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Year:  1993        PMID： 8232883     DOI： 10.1007/bf00588715

Source DB:  PubMed          Journal:  Neuroradiology        ISSN： 0028-3940            Impact factor:   2.804


  7 in total

1.  Meningiomas: MR and histopathologic features.

Authors:  A D Elster; V R Challa; T H Gilbert; D N Richardson; J C Contento
Journal:  Radiology       Date:  1989-03       Impact factor: 11.105

2.  Magnetic resonance imaging of meningiomas.

Authors:  R D Zimmerman; C A Fleming; L A Saint-Louis; B C Lee; J J Manning; M D Deck
Journal:  AJNR Am J Neuroradiol       Date:  1985 Mar-Apr       Impact factor: 3.825

3.  Intracranial meningiomas: high-field MR imaging.

Authors:  M V Spagnoli; H I Goldberg; R I Grossman; L T Bilaniuk; J M Gomori; D B Hackney; R A Zimmerman
Journal:  Radiology       Date:  1986-11       Impact factor: 11.105

4.  MR imaging of meningiomas including studies with and without gadolinium-DTPA.

Authors:  G M Bydder; D P Kingsley; J Brown; H P Niendorf; I R Young
Journal:  J Comput Assist Tomogr       Date:  1985 Jul-Aug       Impact factor: 1.826

5.  Comparison of consistency of meningiomas and CT appearances.

Authors:  B Kendall; P Pullicino
Journal:  Neuroradiology       Date:  1979-10-31       Impact factor: 2.804

6.  Intracranial meningiomas: correlation between MR imaging and histology in fifty patients.

Authors:  P Demaerel; G Wilms; M Lammens; G Marchal; C Plets; J Goffin; A L Baert
Journal:  J Comput Assist Tomogr       Date:  1991 Jan-Feb       Impact factor: 1.826

7.  The value of magnetic resonance imaging in the diagnosis of intracranial meningiomas.

Authors:  R R Mawhinney; J H Buckley; I M Holland; B S Worthington
Journal:  Clin Radiol       Date:  1986-09       Impact factor: 2.350
  7 in total
  19 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

2.  Appearance of meningiomas on diffusion-weighted images: correlating diffusion constants with histopathologic findings.

Authors:  C G Filippi; M A Edgar; A M Uluğ; J C Prowda; L A Heier; R D Zimmerman
Journal:  AJNR Am J Neuroradiol       Date:  2001-01       Impact factor: 3.825

Review 3.  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 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

Review 5.  Imaging the adult brain.

Authors:  I Moseley
Journal:  J Neurol Neurosurg Psychiatry       Date:  1995-01       Impact factor: 10.154

6.  Preoperative MR Imaging to Differentiate Chordoid Meningiomas from Other Meningioma Histologic Subtypes.

Authors:  J D Baal; W C Chen; D A Solomon; J S Pai; C-H Lucas; J H Hara; N A Oberheim Bush; M W McDermott; D R Raleigh; J E Villanueva-Meyer
Journal:  AJNR Am J Neuroradiol       Date:  2019-02-28       Impact factor: 3.825

7.  The contribution of diffusion-weighted MR imaging to distinguishing typical from atypical meningiomas.

Authors:  Bahattin Hakyemez; Nalan Yildirim; Gokhan Gokalp; Cuneyt Erdogan; Mufit Parlak
Journal:  Neuroradiology       Date:  2006-06-20       Impact factor: 2.804

8.  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

9.  Diffusion-weighted MR imaging: diagnosing atypical or malignant meningiomas and detecting tumor dedifferentiation.

Authors:  V A Nagar; J R Ye; W H Ng; Y H Chan; F Hui; C K Lee; C C T Lim
Journal:  AJNR Am J Neuroradiol       Date:  2008-03-20       Impact factor: 3.825

10.  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
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