Literature DB >> 20233645

Three-dimensional susceptibility-weighted imaging at 3 T using various image analysis methods in the estimation of grading intracranial gliomas.

Masaaki Hori1, Harushi Mori, Shigeki Aoki, Osamu Abe, Tomohiko Masumoto, Satoshi Kunimatsu, Kuni Ohtomo, Hiroyuki Kabasawa, Nobuyuki Shiraga, Tsutomu Araki.   

Abstract

OBJECT: Although three-dimensional (3D), high-spatial resolution susceptibility-weighted imaging (SWI) appears to be valuable in the evaluation of central nervous system gliomas, several evaluation methods are proposed in the literature. The purpose of this study was to evaluate the use of 3D SWI for grading intracranial gliomas with various analysis methods.
MATERIALS AND METHODS: Twenty-three patients suspected of having gliomas participated in this study. SWI was performed in addition to conventional MR sequences. In 15 cases, post-gadolinium enhanced SWI was also obtained. Imaging evaluation criteria were conventional grade, hypointensity ratio in the tumor-dominant structure of hypointensity on SWI (hemorrhage or vascular structure) and presence of abnormal enhancement surrounding the tumor.
RESULTS: Mean grading scores of conventional grade showed no statistically significant difference among WHO grades. Mean grading scores of hypointensity ratios in the tumor were higher for WHO Grades 3 and 4 than for lower grade tumors (P=.05, Mann-Whitney U test). Hemorrhagic foci were more frequently seen in the higher grade tumor. Post-contrast susceptibility-weighted images of five of 11 WHO Grade 3 and 4 cases showed bright enhancement surrounding the tumor, suggesting a breakdown of the blood-brain barrier.
CONCLUSIONS: SWI at 3 T may be a useful method to analyze the structural characteristics of gliomas and to evaluate pathology in vivo. Assessment of hypointensity ratios in the glioma was the most preferable method in grading glioma. However, more studies, specifically concerning a suitable method for image analysis, are needed to establish SWI at 3 T as a useful tool in clinical routine. 2010 Elsevier Inc. All rights reserved.

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Year:  2010        PMID: 20233645     DOI: 10.1016/j.mri.2010.01.002

Source DB:  PubMed          Journal:  Magn Reson Imaging        ISSN: 0730-725X            Impact factor:   2.546


  12 in total

1.  Contribution of susceptibility- and diffusion-weighted magnetic resonance imaging for grading gliomas.

Authors:  Jianxing Xu; Hai Xu; Wei Zhang; Jiangang Zheng
Journal:  Exp Ther Med       Date:  2018-04-02       Impact factor: 2.447

2.  Intra-tumoral susceptibility signal: a post-processing technique for objective grading of astrocytoma with susceptibility-weighted imaging.

Authors:  Tzu-Chao Chuang; Yen-Lin Chen; Wan-Pin Shui; Hsiao-Wen Chung; Shu-Shong Hsu; Ping-Hong Lai
Journal:  Quant Imaging Med Surg       Date:  2022-01

Review 3.  Necrotic reshaping of the glioma microenvironment drives disease progression.

Authors:  Steven M Markwell; James L Ross; Cheryl L Olson; Daniel J Brat
Journal:  Acta Neuropathol       Date:  2022-01-17       Impact factor: 15.887

4.  Three-dimensional susceptibility-weighted imaging at 7 T using fractal-based quantitative analysis to grade gliomas.

Authors:  Antonio Di Ieva; Sabine Göd; Günther Grabner; Fabio Grizzi; Camillo Sherif; Christian Matula; Manfred Tschabitscher; Siegfrid Trattnig
Journal:  Neuroradiology       Date:  2012-08-18       Impact factor: 2.804

5.  Imaging findings of brain death on 3-tesla MRI.

Authors:  Chul-Ho Sohn; Hwa-Pyung Lee; Jun Beom Park; Hyuk Won Chang; Ealmaan Kim; Eunhee Kim; Ui Jun Park; Hyoung-Tae Kim; Jeonghun Ku
Journal:  Korean J Radiol       Date:  2012-08-28       Impact factor: 3.500

6.  Glioma grading by microvascular permeability parameters derived from dynamic contrast-enhanced MRI and intratumoral susceptibility signal on susceptibility weighted imaging.

Authors:  Xiaoguang Li; Yongshan Zhu; Houyi Kang; Yulong Zhang; Huaping Liang; Sumei Wang; Weiguo Zhang
Journal:  Cancer Imaging       Date:  2015-03-21       Impact factor: 3.909

Review 7.  Clinical applications of susceptibility-weighted imaging in detecting and grading intracranial gliomas: a review.

Authors:  Wasif Mohammed; Hong Xunning; Shi Haibin; Meng Jingzhi
Journal:  Cancer Imaging       Date:  2013-04-24       Impact factor: 3.909

8.  Assessment of intratumoral micromorphology for patients with clear cell renal cell carcinoma using susceptibility-weighted imaging.

Authors:  Jie Chen; Jiule Ding; Yongming Dai; Wei Xing; Jun Sun; Zishu Zhang; Yang Xuan; Vasuki Pilli; E Mark Haacke; Jiani Hu
Journal:  PLoS One       Date:  2013-06-06       Impact factor: 3.240

9.  An attempt toward objective assessment of brain tumor vascularization using susceptibility weighted imaging and dedicated computer program - a preliminary study.

Authors:  Julia Wieczorek-Pastusiak; Marek Kociński; Marek Raźniewski; Michał Strzelecki; Ludomir Stefańczyk; Agata Majos
Journal:  Pol J Radiol       Date:  2013-01

10.  Detection of intratumoral susceptibility signals using T2*-weighted gradient echo MRI in patients with clear cell renal cell carcinoma.

Authors:  Shengnan Yu; Jianguo Qiu; Jinggang Zhang; Liang Pan; Shijun Xing; Lijun Zhang
Journal:  PLoS One       Date:  2013-11-12       Impact factor: 3.240

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