Literature DB >> 31951057

Quantitative Susceptibility Mapping: Technical Considerations and Clinical Applications in Neuroimaging.

Selvadasan Vinayagamani1, R Sheelakumari1, Sekar Sabarish1, Santhakumar Senthilvelan1, Roopa Ros2, Bejoy Thomas1, Chandrasekharan Kesavadas1.   

Abstract

Quantitative susceptibility mapping (QSM) is a novel magnetic resonance imaging (MRI) technique for quantifying the spatial distribution of magnetic susceptibility within an object or tissue. Recently, QSM has been widely used to study various dominant magnetic susceptibility sources in the brain, including iron and calcium. In addition, the method enables mapping of the cerebral metabolic rate of oxygen, which could act as a new metabolic biomarker for diseases that involve disruption of the brain's oxygen supply. Thus, the clinical applications of QSM are wide-reaching and hold great promise as imaging biomarkers for studying several neurological diseases. This review aims to summarize the physical concepts and potential clinical applications of QSM in neuroimaging. EVIDENCE LEVEL: 5 TECHNICAL EFFICACY: Stage 2.
© 2020 International Society for Magnetic Resonance in Medicine.

Entities:  

Keywords:  clinical applications; iron quantification; quantitative susceptibility mapping; venous oxygen saturation

Mesh：

Substances：

Year:  2020        PMID： 31951057     DOI： 10.1002/jmri.27058

Source DB:  PubMed          Journal:  J Magn Reson Imaging        ISSN： 1053-1807            Impact factor:   4.813


  12 in total

1.  Magnetic Susceptibility Source Separation Solely from Gradient Echo Data: Histological Validation.

Authors:  Alexey V Dimov; Kelly M Gillen; Thanh D Nguyen; Jerry Kang; Ria Sharma; David Pitt; Susan A Gauthier; Yi Wang
Journal:  Tomography       Date:  2022-06-14

2.  Quantitative susceptibility mapping of the head-and-neck using SMURF fat-water imaging with chemical shift and relaxation rate corrections.

Authors:  Beata Bachrata; Siegfried Trattnig; Simon Daniel Robinson
Journal:  Magn Reson Med       Date:  2021-11-30       Impact factor: 4.668

3.  Impaired cerebral vascular and metabolic responses to parametric N-back tasks in subjective cognitive decline.

Authors:  Yaoyu Zhang; Wenying Du; Yayan Yin; Huanjie Li; Zhaowei Liu; Yang Yang; Ying Han; Jia-Hong Gao
Journal:  J Cereb Blood Flow Metab       Date:  2021-05-05       Impact factor: 6.200

4.  Susceptibility-diffusion mismatch correlated with leptomeningeal collateralization in large vessel occlusion stroke.

Authors:  Haifei Jiang; Yiqun Zhang; Jiangxia Pang; Chaojie Shi; Ao-Fei Liu; Chen Li; Min Jin; Fengyuan Man; Wei-Jian Jiang
Journal:  J Int Med Res       Date:  2021-05       Impact factor: 1.671

5.  Factors associated with prominent vessel sign on susceptibility-weighted imaging in acute ischemic stroke.

Authors:  Hai-Fei Jiang; Yi-Qun Zhang; Jiang-Xia Pang; Pei-Ning Shao; Han-Cheng Qiu; Ao-Fei Liu; Chen Li; Min Jin; Feng-Yuan Man; Wei-Jian Jiang
Journal:  Sci Rep       Date:  2021-03-11       Impact factor: 4.379

6.  Does the Brush-Sign Reflect Collateral Status and DWI-ASPECTS in Large Vessel Occlusion?

Authors:  Lucie Rascle; Alexandre Bani Sadr; Camille Amaz; Nathan Mewton; Marielle Buisson; Marc Hermier; Elodie Ong; Julia Fontaine; Laurent Derex; Yves Berthezène; Omer Faruk Eker; Tae-Hee Cho; Norbert Nighoghossian; Laura Mechtouff
Journal:  Front Neurol       Date:  2022-03-02       Impact factor: 4.003

7.  Evaluating iron deposition in gray matter nuclei of patients with unilateral middle cerebral artery stenosis using quantitative susceptibility mapping.

Authors:  Huimin Mao; Weiqiang Dou; Kunjian Chen; Xinyu Wang; Xinyi Wang; Yu Guo; Chao Zhang
Journal:  Neuroimage Clin       Date:  2022-04-26       Impact factor: 4.891

Review 8.  Non-Invasive Evaluation of Cerebral Microvasculature Using Pre-Clinical MRI: Principles, Advantages and Limitations.

Authors:  Bram Callewaert; Elizabeth A V Jones; Uwe Himmelreich; Willy Gsell
Journal:  Diagnostics (Basel)       Date:  2021-05-21

9.  Quantitative susceptibility mapping shows lower brain iron content in children with attention-deficit hyperactivity disorder.

Authors:  Shilong Tang; Guanping Zhang; Qiying Ran; Lisha Nie; Xianfan Liu; Zhengxia Pan; Ling He
Journal:  Hum Brain Mapp       Date:  2022-02-02       Impact factor: 5.399

10.  Iron Deposition in Gray Matter Nuclei of Patients With Intracranial Artery Stenosis: A Quantitative Susceptibility Mapping Study.

Authors:  Huimin Mao; Weiqiang Dou; Xinyi Wang; Kunjian Chen; Xinyu Wang; Yu Guo; Chao Zhang
Journal:  Front Neurol       Date:  2022-01-05       Impact factor: 4.003
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