Quantitative susceptibility mapping in patients with systemic lupus erythematosus: detection of abnormalities in normal-appearing basal ganglia

AbstractObjectivesTo evaluate whether quantitative susceptibility mapping (QSM) can be employed to detect abnormalities within normal-appearing basal ganglia on conventional MRI in patients with neuropsychiatric systemic lupus erythematosus (NPSLE).MethodsFor 33 SLE patients (13 NPSLE and 20 non-NPSLE patients) and 23 age/sex-matched controls, two radiologists independently measured the mean QSM and R2* values in various brain structures that appeared to be normal on conventional MR images. These values in each brain structure were compared among the two SLE groups and controls.ResultsRegarding the putamen, the NPSLE patients showed significantly higher QSM values than the non-NPSLE patients and controls (p < 0.05). For the lateral globus pallidus, both SLE groups showed significantly higher QSM values than the controls (p < 0.05). The R2* values were not significantly different between both SLE groups. The NPSLE patients showed a significant correlation between the mean QSM values in putamen and the disease duration (r = 0.63, p < 0.05). For the interobserver agreement, the QSM value was superior to the R2* value (0.690 vs. 0.446, Kendall W value).ConclusionsQSM can be used to identify increased susceptibility of the basal ganglia appearing to be normal on conventional MR images in NPSLE patients.Key Points• QSM values in the putamen are significantly higher in NPSLE than non-NPSLE. • NPSLE patients show correlation between QSM values in the putamen and disease duration. • QSM is more sensitive than R2* mapping for detecting subtle changes.

[1]  Min Lou,et al.  Hematoma Volume Measurement in Gradient Echo MRI Using Quantitative Susceptibility Mapping , 2013, Stroke.

[2]  R Marc Lebel,et al.  Multiple sclerosis: validation of MR imaging for quantification and detection of iron. , 2013, Radiology.

[3]  E. Haacke,et al.  Imaging iron stores in the brain using magnetic resonance imaging. , 2005, Magnetic resonance imaging.

[4]  Yi Wang,et al.  Quantitative susceptibility map reconstruction from MR phase data using bayesian regularization: Validation and application to brain imaging , 2010, Magnetic resonance in medicine.

[5]  B. Hallgren,et al.  THE EFFECT OF AGE ON THE NON‐HAEMIN IRON IN THE HUMAN BRAIN , 1958, Journal of neurochemistry.

[6]  Tian Liu,et al.  Internal structures of the globus pallidus in patients with Parkinson’s disease: evaluation with quantitative susceptibility mapping (QSM) , 2015, European Radiology.

[7]  Pascal Spincemaille,et al.  Nonlinear formulation of the magnetic field to source relationship for robust quantitative susceptibility mapping , 2013, Magnetic resonance in medicine.

[8]  Margit Jehna,et al.  Quantitative susceptibility mapping in multiple sclerosis. , 2013, Radiology.

[9]  E. Haacke,et al.  Theory of NMR signal behavior in magnetically inhomogeneous tissues: The static dephasing regime , 1994, Magnetic resonance in medicine.

[10]  Torsten Rohlfing,et al.  MRI estimates of brain iron concentration in normal aging using quantitative susceptibility mapping , 2011, NeuroImage.

[11]  Hellmut Merkle,et al.  Tracking iron in multiple sclerosis: a combined imaging and histopathological study at 7 Tesla. , 2011, Brain : a journal of neurology.

[12]  Simon Hametner,et al.  Iron and neurodegeneration in the multiple sclerosis brain , 2013, Annals of neurology.

[13]  Mark A. Smith,et al.  Mechanisms by which metals promote events connected to neurodegenerative diseases , 2001, Brain Research Bulletin.

[14]  Fengchun Zhang,et al.  Diagnostic value of single-photon-emission computed tomography in severe central nervous system involvement of systemic lupus erythematosus: a case-control study. , 2005, Arthritis and rheumatism.

[15]  O. Meyer,et al.  Neurological manifestations of systemic lupus erythematosus: role of antiphospholipid antibodies. , 1993, Clinical and experimental rheumatology.

[16]  Douglas B. Kell,et al.  Towards a unifying, systems biology understanding of large-scale cellular death and destruction caused by poorly liganded iron: Parkinson’s, Huntington’s, Alzheimer’s, prions, bactericides, chemical toxicology and others as examples , 2010, Archives of Toxicology.

[17]  J. Kang,et al.  Systemic lupus erythematosus: brain MR imaging and single-voxel hydrogen 1 MR spectroscopy. , 2000, Radiology.

[18]  F. Fazekas,et al.  The morphologic correlate of incidental punctate white matter hyperintensities on MR images. , 1991, AJNR. American journal of neuroradiology.

[19]  M. Crawford,et al.  An echocardiographic study of valvular heart disease associated with systemic lupus erythematosus. , 1996, The New England journal of medicine.

[20]  A. Caprihan,et al.  Diffusion tensor imaging in neuropsychiatric systemic lupus erythematosus , 2010, BMC neurology.

[21]  Woo Kyung Moon,et al.  Comparative evaluation of average glandular dose and breast cancer detection between single-view digital breast tomosynthesis (DBT) plus single-view digital mammography (DM) and two-view DM: correlation with breast thickness and density , 2014, European Radiology.

[22]  J. L. Cox,et al.  Multimodal imaging in systemic lupus erythematosus patients with diffuse neuropsychiatric involvement , 2013, Lupus.

[23]  R. Lisak,et al.  Systemic lupus erythematosus: immunopathogenesis of neurologic dysfunction , 2004, Springer Seminars in Immunopathology.

[24]  S. Ropele,et al.  Quantitative MR imaging of brain iron: a postmortem validation study. , 2010, Radiology.

[25]  C. D. Coryell,et al.  The Magnetic Properties and Structure of Hemoglobin, Oxyhemoglobin and Carbonmonoxyhemoglobin , 1936, Proceedings of the National Academy of Sciences.

[26]  A. Popescu,et al.  Neuropsychiatric Systemic Lupus Erythematosus , 2011, Current neuropharmacology.

[27]  B. Hart,et al.  Magnetic resonance imaging and brain histopathology in neuropsychiatric systemic lupus erythematosus. , 2010, Seminars in arthritis and rheumatism.

[28]  A. Stefani,et al.  Magnetic resonance imaging markers of Parkinson's disease nigrostriatal signature. , 2010, Brain : a journal of neurology.

[29]  S. West,et al.  Neuropsychiatric lupus erythematosus: a 10-year prospective study on the value of diagnostic tests. , 1995, The American journal of medicine.

[30]  Yi Wang,et al.  Quantitative s usceptibility Mapping of Multiple s clerosis lesions at Various ages 1 , 2014 .

[31]  S. Packman,et al.  T1 hyperintensity in the pulvinar: key imaging feature for diagnosis of Fabry disease. , 2003, AJNR. American journal of neuroradiology.

[32]  A. Auvinen,et al.  Validity of the new American College of Rheumatology criteria for neuropsychiatric lupus syndromes: a population-based evaluation. , 2001, Arthritis and rheumatism.

[33]  David Pitt,et al.  Iron Is a Sensitive Biomarker for Inflammation in Multiple Sclerosis Lesions , 2013, PloS one.

[34]  D. Musher,et al.  Central nervous system involvement in systemic lupus erythematosus. A study of 150 cases. , 1966, Archives of neurology.

[35]  Jeff H. Duyn,et al.  Susceptibility contrast in high field MRI of human brain as a function of tissue iron content , 2009, NeuroImage.

[36]  C. Zhong,et al.  Decreased serum ceruloplasmin levels characteristically aggravate nigral iron deposition in Parkinson's disease. , 2011, Brain : a journal of neurology.

[37]  C. Choi,et al.  Primary Antiphospholipid Antibody Syndrome: Neuroradiologic Findings in 11 Patients , 2000, Korean journal of radiology.

[38]  Yi Wang,et al.  A novel background field removal method for MRI using projection onto dipole fields (PDF) , 2011, NMR in biomedicine.

[39]  Yi Wang,et al.  Morphology enabled dipole inversion for quantitative susceptibility mapping using structural consistency between the magnitude image and the susceptibility map , 2012, NeuroImage.

[40]  M. Hochberg,et al.  Updating the American College of Rheumatology revised criteria for the classification of systemic lupus erythematosus. , 1997, Arthritis and rheumatism.

[41]  D. Sackett,et al.  Derivation of the SLEDAI. A disease activity index for lupus patients. The Committee on Prognosis Studies in SLE. , 1992, Arthritis and rheumatism.

[42]  S. Lee,et al.  The efficacy of brain 18 F-fluorodeoxyglucose positron emission tomography in neuropsychiatric lupus patients with normal brain magnetic resonance imaging findings , 2012, Lupus.