Literature DB >> 10477102

Intracranial meningiomas: correlations between MR imaging and histology.

F Maiuri1, G Iaconetta, O de Divitiis, S Cirillo, F Di Salle, M L De Caro.   

Abstract

The authors have examined the relationship between magnetic resonance imaging (MRI) and histopathological features in 35 surgically verified intracranial meningiomas. Tumor signals on T1-weighted images were rather similar regardless of the histologic subtype of the tumors. On T2-weighted images, hypointense meningiomas were mainly fibroblastic and hyperintense tumors were mainly syncytial and angioblastic, and partly transitional. Isointense tumors were mainly transitional and partly fibroblastic and syncytial. The authors conclude that the signal intensity of the MRI may be useful in the preoperative characterization of intracranial meningiomas. T1-weighted images may predict the presence of cysts and intratumoral blood vessels; whereas T2-weighted images can give information about histological subtype, vascularity and consistency. Meningiomas hyperintense to the cortex on T2 are usually soft, more vascular and more frequently of syncytial or angioblastic subtype; tumors hypointense or hypo-isointense on T2 tend to have a more hard consistency and are more often of fibroblastic or transitional subtype.

Entities:  

Mesh:

Year:  1999        PMID: 10477102     DOI: 10.1016/s0720-048x(98)00083-7

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  20 in total

1.  Ferumoxytol-enhanced MRI differentiation of meningioma from dural metastases: a pilot study with immunohistochemical observations.

Authors:  Bronwyn E Hamilton; Randall L Woltjer; Joao Prola-Netto; Gary M Nesbit; Seymur Gahramanov; Thao Pham; Jaime Wagner; Edward A Neuwelt
Journal:  J Neurooncol       Date:  2016-07-08       Impact factor: 4.130

2.  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

3.  Different signal intensities between intra- and extracranial components in jugular foramen meningioma: an enigma.

Authors:  Taro Shimono; Fumiharu Akai; Akira Yamamoto; Mitsunori Kanagaki; Yasutaka Fushimi; Masayuki Maeda; Yukio Miki
Journal:  AJNR Am J Neuroradiol       Date:  2005-05       Impact factor: 3.825

4.  The diagnostic value of using combined MR diffusion tensor imaging parameters to differentiate between low- and high-grade meningioma.

Authors:  Kerim Aslan; Hediye Pinar Gunbey; Leman Tomak; Lutfi Incesu
Journal:  Br J Radiol       Date:  2018-05-31       Impact factor: 3.039

5.  High symptom improvement and local tumor control using stereotactic radiotherapy when given early after diagnosis of meningioma. A multicentre study.

Authors:  I Compter; K Zaugg; R M A Houben; J T A Dings; G Bosmans; C Buescher; M M H M E Anten; B G Baumert
Journal:  Strahlenther Onkol       Date:  2012-09-09       Impact factor: 3.621

Review 6.  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

7.  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 8.  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

9.  Use of preoperative MRI to predict vestibular schwannoma intraoperative consistency and facial nerve outcome.

Authors:  William R Copeland; Jason M Hoover; Jonathan M Morris; Colin L W Driscoll; Michael J Link
Journal:  J Neurol Surg B Skull Base       Date:  2013-05-22

10.  Imaging and extent of surgical resection predict risk of meningioma recurrence better than WHO histopathological grade.

Authors:  William L Hwang; Ariel E Marciscano; Andrzej Niemierko; Daniel W Kim; Anat O Stemmer-Rachamimov; William T Curry; Fred G Barker; Robert L Martuza; Jay S Loeffler; Kevin S Oh; Helen A Shih; Mykol Larvie
Journal:  Neuro Oncol       Date:  2015-11-22       Impact factor: 12.300

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.