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Clinical Integration of Quantitative Susceptibility Mapping Magnetic Resonance Imaging into Neurosurgical Practice

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单位: [1]Aix Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France [2]Hop La Timone, AP HM, CEMEREM, Marseille, France [3]Northwestern Univ, Dept Neurol Surg, Chicago, IL 60611 USA [4]Tongji Hosp, Dept Radiol, Wuhan, Hubei, Peoples R China [5]Cornell Univ, Dept Biomed Engn, Ithaca, NY USA [6]Weill Cornell Med Coll, Dept Radiol, New York, NY USA [7]Mt Sinai Hosp, Dept Neurosurg, New York, NY 10029 USA
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关键词: Advanced imaging techniques Deep brain stimulation Glioma Meningioma Neuro-oncology Quantitative susceptibility mapping Stereotactic navigation

摘要:
OBJECTIVE: To introduce quantitative susceptibility mapping (QSM), a novel magnetic resonance imaging sequence, to the field of neurosurgery. METHODS: QSM is introduced both in its historical context and by providing a brief overview of the physics behind the technique tailored to a neurosurgical audience. Its application to clinical neurosurgery is then highlighted using case examples. RESULTS: QSM offers a quantitative assessment of susceptibility (previously considered as an artifact) via a single, straightforward gradient echo acquisition. QSM differs from standard susceptibility weighted imaging in its ability to both quantify and precisely localize susceptibility effects. Clinical applications of QSM are wide reaching and include precise localization of the deep nuclei for deep brain stimulation electrode placement, differentiation between blood products and calcification within brain lesions, and enhanced sensitivity of cerebral micrometastasis identification. CONCLUSIONS: We present this diverse range of QSM's clinical applications to neurosurgical care via case examples. QSM can be obtained in all patients able to undergo magnetic resonance imaging and is easily integratable into busy neuroradiology programs because of its short acquisition time and straightforward, automated offline post-processing workflow. Clinical integration of QSM may help clinicians better identify and characterize neurosurgical lesions, thereby improving patient care.

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出版当年[2018]版:
大类 | 3 区 医学
小类 | 3 区 外科 4 区 临床神经病学
最新[2025]版:
大类 | 4 区 医学
小类 | 4 区 临床神经病学 4 区 外科
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出版当年[2017]版:
Q2 SURGERY Q3 CLINICAL NEUROLOGY
最新[2023]版:
Q2 SURGERY Q3 CLINICAL NEUROLOGY

影响因子: 最新[2023版] 最新五年平均 出版当年[2017版] 出版当年五年平均 出版前一年[2016版] 出版后一年[2018版]

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第一作者单位: [1]Aix Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France [2]Hop La Timone, AP HM, CEMEREM, Marseille, France [3]Northwestern Univ, Dept Neurol Surg, Chicago, IL 60611 USA
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通讯机构: [1]Aix Marseille Univ, CNRS, CRMBM, UMR 7339, Marseille, France [2]Hop La Timone, AP HM, CEMEREM, Marseille, France [3]Northwestern Univ, Dept Neurol Surg, Chicago, IL 60611 USA
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