Literature DB >> 7477686

Correlation between magnetic resonance images and histology in meningiomas: T2-weighted images indicate collagen contents in tissues.

N Soyama1, J Kuratsu, Y Ushio.   

Abstract

The magnetic resonance imaging appearance of 40 surgically confirmed intracranial meningiomas was reviewed to correlate signal intensity on T2-weighted images with histological subtypes of meningioma. A moderate variation of signal intensity was found within a given histological subtype. The mean signal intensity scores on T2-weighted images of the fibrous type of meningioma were significantly lower than those of the other types, and were correlated with the collagen content. The signal intensity of meningiomas on T2-weighted images crudely predicts the histological type. Tumors significantly hypointense compared to the cortex are composed primarily of fibrous elements.

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Year:  1995        PMID： 7477686     DOI： 10.2176/nmc.35.438

Source DB:  PubMed          Journal:  Neurol Med Chir (Tokyo)        ISSN： 0470-8105            Impact factor:   1.742


  8 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

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.  Time course of changes in the human Achilles tendon properties and metabolism during training and detraining in vivo.

Authors:  Keitaro Kubo; Toshihiro Ikebukuro; Akira Maki; Hideaki Yata; Naoya Tsunoda
Journal:  Eur J Appl Physiol       Date:  2011-11-22       Impact factor: 3.078

4.  Natural history of elderly patients with asymptomatic meningiomas.

Authors:  M Niiro; K Yatsushiro; K Nakamura; Y Kawahara; J Kuratsu
Journal:  J Neurol Neurosurg Psychiatry       Date:  2000-01       Impact factor: 10.154

5.  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

6.  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

7.  Use of preoperative magnetic resonance imaging T1 and T2 sequences to determine intraoperative meningioma consistency.

Authors:  Jason M Hoover; Jonathan M Morris; Fredric B Meyer
Journal:  Surg Neurol Int       Date:  2011-10-12

8.  Relationship Between Pituitary Adenoma Consistency and Extent of Resection Based on Tumor/Cerebellar Peduncle T2-Weighted Imaging Intensity (TCTI) Ratio of the Point on Preoperative Magnetic Resonance Imaging (MRI) Corresponding to the Residual Point on Postoperative MRI.

Authors:  Xiao-Yong Chen; Chen-Yu Ding; Hong-Hai You; Jin-Yuan Chen; Chang-Zhen Jiang; Xiao-Rong Yan; Zhang-Ya Lin; De-Zhi Kang
Journal:  Med Sci Monit       Date:  2020-01-06
  8 in total

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