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

Sarah Kathleen Bandt*, Ludovic de Rochefort, Weiwei Chen, Alexey V. Dimov, Pascal Spincemaille, Brian H. Kopell, Ajay Gupta, Yi Wang

*Corresponding author for this work

Research output: Contribution to journalArticle

1 Citation (Scopus)

Abstract

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 postprocessing workflow. Clinical integration of QSM may help clinicians better identify and characterize neurosurgical lesions, thereby improving patient care.

Original languageEnglish (US)
Pages (from-to)e10-e19
JournalWorld neurosurgery
Volume122
DOIs
StatePublished - Feb 1 2019

Fingerprint

Neurosurgery
Magnetic Resonance Imaging
Neoplasm Micrometastasis
Deep Brain Stimulation
Workflow
Physics
Artifacts
Patient Care
Electrodes
Brain

Keywords

  • Advanced imaging techniques
  • Deep brain stimulation
  • Glioma
  • Meningioma
  • Neuro-oncology
  • Quantitative susceptibility mapping
  • Stereotactic navigation

ASJC Scopus subject areas

  • Surgery
  • Clinical Neurology

Cite this

Bandt, Sarah Kathleen ; de Rochefort, Ludovic ; Chen, Weiwei ; Dimov, Alexey V. ; Spincemaille, Pascal ; Kopell, Brian H. ; Gupta, Ajay ; Wang, Yi. / Clinical Integration of Quantitative Susceptibility Mapping Magnetic Resonance Imaging into Neurosurgical Practice. In: World neurosurgery. 2019 ; Vol. 122. pp. e10-e19.
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abstract = "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 postprocessing workflow. Clinical integration of QSM may help clinicians better identify and characterize neurosurgical lesions, thereby improving patient care.",
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Bandt, SK, de Rochefort, L, Chen, W, Dimov, AV, Spincemaille, P, Kopell, BH, Gupta, A & Wang, Y 2019, 'Clinical Integration of Quantitative Susceptibility Mapping Magnetic Resonance Imaging into Neurosurgical Practice', World neurosurgery, vol. 122, pp. e10-e19. https://doi.org/10.1016/j.wneu.2018.08.213

Clinical Integration of Quantitative Susceptibility Mapping Magnetic Resonance Imaging into Neurosurgical Practice. / Bandt, Sarah Kathleen; de Rochefort, Ludovic; Chen, Weiwei; Dimov, Alexey V.; Spincemaille, Pascal; Kopell, Brian H.; Gupta, Ajay; Wang, Yi.

In: World neurosurgery, Vol. 122, 01.02.2019, p. e10-e19.

Research output: Contribution to journalArticle

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T1 - Clinical Integration of Quantitative Susceptibility Mapping Magnetic Resonance Imaging into Neurosurgical Practice

AU - Bandt, Sarah Kathleen

AU - de Rochefort, Ludovic

AU - Chen, Weiwei

AU - Dimov, Alexey V.

AU - Spincemaille, Pascal

AU - Kopell, Brian H.

AU - Gupta, Ajay

AU - Wang, Yi

PY - 2019/2/1

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N2 - 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 postprocessing workflow. Clinical integration of QSM may help clinicians better identify and characterize neurosurgical lesions, thereby improving patient care.

AB - 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 postprocessing workflow. Clinical integration of QSM may help clinicians better identify and characterize neurosurgical lesions, thereby improving patient care.

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