Literature DB >> 27227542

Susceptibility-Weighted Imaging of Glioma: Update on Current Imaging Status and Future Directions.

Charlie Chia-Tsong Hsu1, Trevor William Watkins1, Gigi Nga Chi Kwan1, E Mark Haacke2.   

Abstract

Susceptibility-weighted imaging (SWI) provides invaluable insight into glioma pathophysiology and internal tumoral architecture. The physical contribution of intratumoral susceptibility signal (ITSS) may correspond to intralesional hemorrhage, calcification, or tumoral neovascularity. In this review, we present emerging evidence of ITSS for assessment of intratumoral calcification, grading of glioma, and factors influencing the pattern of ITSS in glioblastoma. SWI phase imaging assists in identification of intratumoral calcification that aids in narrowing the differential diagnosis. Development of intratumoral calcification posttreatment of glioma serves as an imaging marker of positive therapy response. Grading of tumors with ITSS using information attributed to microhemorrhage and neovascularity in SWI correlates with MR perfusion parameters and histologic grading of glioma and enriches preoperative prognosis. Quantitative susceptibility mapping may provide a means to discriminate subtle calcifications and hemorrhage in tumor imaging. Recent data suggest ITSS patterns in glioblastoma vary depending on tumoral volume and sublocation and correlate with degree of intratumoral necrosis and neovascularity. Increasingly, there is a recognized role of obtaining contrast-enhanced SWI (CE-SWI) for assessment of tumoral margin in high-grade glioma. Significant higher concentration of gadolinium accumulates at the border of the tumoral invasion zone as seen on the SWI sequence; this results from contrast-induced phase shift that clearly delineates the tumor margin. Lastly, absence of ITSS may aid in differentiation between high-grade glioma and primary CNS lymphoma, which typically shows absence of ITSS. We conclude that SWI and CE-SWI are indispensable tools for diagnosis, preoperative grading, posttherapy surveillance, and assessment of glioma.
Copyright © 2016 by the American Society of Neuroimaging.

Entities:  

Keywords:  Contrast induced phase shift; Glioma; Intratumoral susceptibility signal; Susceptibility Weighted Imaging

Mesh:

Year:  2016        PMID: 27227542     DOI: 10.1111/jon.12360

Source DB:  PubMed          Journal:  J Neuroimaging        ISSN: 1051-2284            Impact factor:   2.486


  13 in total

1.  The T1 shine through effect on susceptibility weighted imaging: an under recognized phenomenon.

Authors:  Charlie Chia-Tsong Hsu; E Mark Haacke; Chinthaka Chris Heyn; Trevor William Watkins; Timo Krings
Journal:  Neuroradiology       Date:  2018-01-13       Impact factor: 2.804

2.  Susceptibility-Based Neuroimaging: Standard Methods, Clinical Applications, and Future Directions.

Authors:  Salil Soman; Jose A Bregni; Berkin Bilgic; Ursula Nemec; Audrey Fan; Zhe Liu; Robert L Barry; Jiang Du; Keith Main; Jerome Yesavage; Maheen M Adamson; Michael Moseley; Yi Wang
Journal:  Curr Radiol Rep       Date:  2017-02-14

3.  Increasing FLAIR signal intensity in the postoperative cavity predicts progression in gross-total resected high-grade gliomas.

Authors:  Guan-Min Quan; Yong-Li Zheng; Tao Yuan; Jian-Ming Lei
Journal:  J Neurooncol       Date:  2018-03-21       Impact factor: 4.130

4.  Non-invasive tumor decoding and phenotyping of cerebral gliomas utilizing multiparametric 18F-FET PET-MRI and MR Fingerprinting.

Authors:  Johannes Haubold; Aydin Demircioglu; Marcel Gratz; Martin Glas; Karsten Wrede; Ulrich Sure; Gerald Antoch; Kathy Keyvani; Mathias Nittka; Stephan Kannengiesser; Vikas Gulani; Mark Griswold; Ken Herrmann; Michael Forsting; Felix Nensa; Lale Umutlu
Journal:  Eur J Nucl Med Mol Imaging       Date:  2019-12-06       Impact factor: 9.236

5.  Acceleration of Brain Susceptibility-Weighted Imaging with Compressed Sensitivity Encoding: A Prospective Multicenter Study.

Authors:  J Ding; Y Duan; M Wang; Y Yuan; Z Zhuo; L Gan; Q Song; B Gao; L Yang; H Liu; Y Hou; F Zheng; R Chen; J Wang; L Lin; B Zhang; G Zhang; Y Liu
Journal:  AJNR Am J Neuroradiol       Date:  2022-03-03       Impact factor: 3.825

Review 6.  Standard clinical approaches and emerging modalities for glioblastoma imaging.

Authors:  Joshua D Bernstock; Sam E Gary; Neil Klinger; Pablo A Valdes; Walid Ibn Essayed; Hannah E Olsen; Gustavo Chagoya; Galal Elsayed; Daisuke Yamashita; Patrick Schuss; Florian A Gessler; Pier Paolo Peruzzi; Asim K Bag; Gregory K Friedman
Journal:  Neurooncol Adv       Date:  2022-05-26

7.  Peri-operative prognostic factors for primary skull base chordomas: results from a single-center cohort.

Authors:  Emanuele La Corte; Morgan Broggi; Alberto Raggi; Silvia Schiavolin; Francesco Acerbi; Giovanni Danesi; Mariangela Farinotti; Giovanni Felisati; Alberto Maccari; Bianca Pollo; Marco Saini; Claudia Toppo; Francesca Valvo; Riccardo Ghidoni; Maria Grazia Bruzzone; Francesco DiMeco; Paolo Ferroli
Journal:  Acta Neurochir (Wien)       Date:  2020-01-16       Impact factor: 2.216

8.  Study on clinical application of susceptibility weighted imaging ombined with diffusion weighted imaging in patients with Liver Cirrhosis complicated with small Hepatocellular Carcinoma.

Authors:  Zhi-Bo Hou; Fei Zhao; Bin Zhang; Chun-Zhu Zhang
Journal:  Pak J Med Sci       Date:  2021 May-Jun       Impact factor: 1.088

Review 9.  MRI in Glioma Immunotherapy: Evidence, Pitfalls, and Perspectives.

Authors:  Domenico Aquino; Andrea Gioppo; Gaetano Finocchiaro; Maria Grazia Bruzzone; Valeria Cuccarini
Journal:  J Immunol Res       Date:  2017-04-20       Impact factor: 4.818

Review 10.  Cancer Metabolism and Tumor Heterogeneity: Imaging Perspectives Using MR Imaging and Spectroscopy.

Authors:  Gigin Lin; Kayvan R Keshari; Jae Mo Park
Journal:  Contrast Media Mol Imaging       Date:  2017-10-09       Impact factor: 3.161

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