An update on susceptibility-weighted imaging in brain gliomas
- PMID: 38581609
- DOI: 10.1007/s00330-024-10703-w
An update on susceptibility-weighted imaging in brain gliomas
Abstract
Susceptibility-weighted imaging (SWI) has become a standard component of most brain MRI protocols. While traditionally used for detecting and characterising brain hemorrhages typically associated with stroke or trauma, SWI has also shown promising results in glioma assessment. Numerous studies have highlighted SWI's role in differentiating gliomas from other brain lesions, such as primary central nervous system lymphomas or metastases. Additionally, SWI aids radiologists in non-invasively grading gliomas and predicting their phenotypic profiles. Various researchers have suggested incorporating SWI as an adjunct sequence for predicting treatment response and for post-treatment monitoring. A significant focus of these studies is on the detection of intratumoural susceptibility signals (ITSSs) in gliomas, which are indicative of microhemorrhages and vessels within the tumour. The quantity, distribution, and characteristics of these ITSSs can provide radiologists with more precise information for evaluating and characterising gliomas. Furthermore, the potential benefits and added value of performing SWI after the administration of gadolinium-based contrast agents (GBCAs) have been explored. This review offers a comprehensive, educational, and practical overview of the potential applications and future directions of SWI in the context of glioma assessment. CLINICAL RELEVANCE STATEMENT: SWI has proven effective in evaluating gliomas, especially through assessing intratumoural susceptibility signal changes, and is becoming a promising, easily integrated tool in MRI protocols for both pre- and post-treatment assessments. KEY POINTS: • Susceptibility-weighted imaging is the most sensitive sequence for detecting blood and calcium inside brain lesions. • This sequence, acquired with and without gadolinium, helps with glioma diagnosis, characterisation, and grading through the detection of intratumoural susceptibility signals. • There are ongoing challenges that must be faced to clarify the role of susceptibility-weighted imaging for glioma assessment.
Keywords: Glioma; ITSS; Intratumoural susceptibility signals; Susceptibility-weighted imaging.
© 2024. The Author(s), under exclusive licence to European Society of Radiology.
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References
-
- Haacke EM, Mittal S, Wu Z et al (2009) Susceptibility-weighted imaging: technical aspects and clinical applications, part 1. AJNR Am J Neuroradiol 30:19–30. https://doi.org/10.3174/ajnr.A1400 - DOI - PubMed - PMC
-
- Clarke MA, Pareto D, Pessini-Ferreira L et al (2020) Value of 3T susceptibility-weighted imaging in the diagnosis of multiple sclerosis. AJNR Am J Neuroradiol 41:1001–1008. https://doi.org/10.3174/ajnr.A6547 - DOI - PubMed - PMC
-
- Cheng A-L, Batool S, McCreary CR et al (2013) Susceptibility-weighted imaging is more reliable than T2*-weighted gradient-recalled echo MRI for detecting microbleeds. Stroke 44:2782–2786. https://doi.org/10.1161/STROKEAHA.113.002267 - DOI - PubMed
-
- Fatemi-Ardekani A, Boylan C, Noseworthy MD (2009) Identification of breast calcification using magnetic resonance imaging. Med Phys 36:5429–5436. https://doi.org/10.1118/1.3250860 - DOI - PubMed
-
- Reichenbach JR, Schweser F, Serres B, Deistung A (2015) Quantitative susceptibility mapping: concepts and applications. Clin Neuroradiol 25:225–230. https://doi.org/10.1007/s00062-015-0432-9 - DOI - PubMed
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