Literature DB >> 2916043

Meningiomas: MR and histopathologic features.

A D Elster1, V R Challa, T H Gilbert, D N Richardson, J C Contento.   

Abstract

The magnetic resonance (MR) appearances of 40 biopsy-proved meningiomas were blindly evaluated and correlated with their predominant histologic pattern--fibroblastic, transitional, syncytial, angioblastic, or mixed. T1-weighted images were not particularly useful in discriminating pathologic subtype, because most tumors were isointense with or hypointense to cortex regardless of histologic type. Signal intensity and features on T2-weighted images strongly correlated with histopathologic findings in over 75% of cases, however. Meningiomas markedly hypointense to cortex on T2-weighted images (seven of 40 cases) were composed predominantly of fibroblastic or transitional elements, while markedly hyperintense meningiomas (14 of 40 cases) demonstrated predominance of syncytial or angioblastic elements. Consideration of secondary features visible at MR imaging (degree of edema, cyst formation, presence of calcium aggregates) led to a more specific histologic prediction in over half of the remaining isointense tumors. The varied MR appearance of meningiomas has a clear histologic basis, and crude prediction of pathologic subtype is possible in over three-fourths of cases.

Entities:  

Mesh:

Year:  1989        PMID: 2916043     DOI: 10.1148/radiology.170.3.2916043

Source DB:  PubMed          Journal:  Radiology        ISSN: 0033-8419            Impact factor:   11.105


  39 in total

1.  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

2.  Peritumoral brain edema in meningiomas : correlation of radiologic and pathologic features.

Authors:  Byung-Won Kim; Min-Su Kim; Sang-Woo Kim; Chul-Hoon Chang; Oh-Lyong Kim
Journal:  J Korean Neurosurg Soc       Date:  2011-01-31

3.  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

4.  Simultaneous discovery of bifrontal meningiomas and a glioblastoma multiforme.

Authors:  Joel Woodley-Cook; Aditya Bharatha; Julian Spears
Journal:  BMJ Case Rep       Date:  2014-04-17

5.  Meningeal sarcoidosis, pseudo-meningioma, and pachymeningitis of the convexity.

Authors:  D Ranoux; B Devaux; C Lamy; J Y Mear; F X Roux; J L Mas
Journal:  J Neurol Neurosurg Psychiatry       Date:  1992-04       Impact factor: 10.154

Review 6.  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

7.  Computed tomography and angiography do not reliably discriminate malignant meningiomas from benign ones.

Authors:  A Servo; M Porras; J Jääskeläinen; A Paetau; M Haltia
Journal:  Neuroradiology       Date:  1990       Impact factor: 2.804

8.  Radiology of meningiomas.

Authors:  L E Ginsberg
Journal:  J Neurooncol       Date:  1996-09       Impact factor: 4.130

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

Authors:  P Carpeggiani; G Crisi; C Trevisan
Journal:  Neuroradiology       Date:  1993       Impact factor: 2.804

10.  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

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.