Quantitative susceptibility mapping differentiates between parkinsonian disorders

被引:77
|
作者
Sjostrom, Henrik [1 ,2 ]
Granberg, Tobias [3 ,4 ]
Westman, Eric [5 ,6 ]
Svenningsson, Per [1 ,2 ]
机构
[1] Karolinska Univ Hosp, Dept Clin Neurosci, K8,CMM L8 01, S-17176 Stockholm, Sweden
[2] Karolinska Univ Hosp, Dept Neurol, R54, S-14186 Stockholm, Sweden
[3] Karolinska Inst, Dept Clin Sci Intervent & Technol, Div Med Imaging & Technol, Stockholm, Sweden
[4] Karolinska Univ Hosp, Dept Radiol, C1-46, S-14186 Stockholm, Sweden
[5] Novum, Karolinska Inst, Dept Neurobiol Care Sci & Soc, Div Clin Geriatr, Blickagangen 6, S-14157 Huddinge, Sweden
[6] Kings Coll London, Inst Psychiat Psychol & Neurosci, Ctr Neuroimaging Sci, Dept Neuroimaging, PO89,De Crespigny Pk, London SE5 8AF, England
关键词
Quantitative susceptibility mapping; Progressive supranuclear palsy; Multiple system atrophy; Parkinson's disease; Magnetic resonance imaging; MULTIPLE SYSTEM ATROPHY; PROGRESSIVE SUPRANUCLEAR PALSY; BRAIN IRON DEPOSITION; NIGRAL HYPERINTENSITY; DISEASE; DIAGNOSIS;
D O I
10.1016/j.parkreldis.2017.08.029
中图分类号
R74 [神经病学与精神病学];
学科分类号
摘要
Introduction: It is often challenging to clinically distinguish between Parkinson's disease (PD), multiple system atrophy (MSA) and progressive supranuclear palsy (PSP). Quantitative susceptibility mapping (QSM) is an accurate indirect method for estimating brain iron levels in vivo. This method has yet to be applied in atypical parkinsonism. We aimed to investigate differences in brain iron accumulation parkinsonian disorders and healthy controls using QSM. Methods: 15 patients with PSP, 11 patients with MSA, 62 patients with PD and 14 healthy controls were included in the study and their phase and magnitude data from susceptibility-weighted magnetic resonance imaging were retrospectively analyzed with an in-house pipeline to create susceptibility maps. Two-way ANCOVA were used to assess group differences. Pairwise comparisons within the ANCOVA were corrected for multiple comparisons. Results: Red nucleus susceptibility was higher in PSP compared with PD (p < 0.001), MSA (p < 0.001) and controls (p < 0.001), which separated PSP from these groups with areas under receiver operating characteristic curve of 0.97, 0.75 and 0.98 respectively. PSP showed higher globus pallidus susceptibility compared with PD (p < 0.001), MSA (p = 0.006) and controls (p < 0.001). Putamen susceptibility was higher in MSA than in PD (p = 0.022) and controls (p = 0.026). Substantia nigra susceptibility was increased in PD compared to controls (p = 0.030). Conclusion: We show that all studied parkinsonian disorders have increased susceptibility subcortically, reflecting distinct topographical patterns of abnormal brain iron accumulation. QSM, particularly of the red nucleus, is a promising biomarker in differentiating parkinsonian disorders, and would be interesting to study longitudinally for monitoring disease progression and treatment effects. (C) 2017 Elsevier Ltd. All rights reserved.
引用
收藏
页码:51 / 57
页数:7
相关论文
共 50 条
  • [1] Quantitative susceptibility mapping and blood neurofilament light chain differentiate between parkinsonian disorders
    Zhang, P.
    Chen, J.
    Cai, T.
    Zhang, Y.
    MOVEMENT DISORDERS, 2021, 36 : S259 - S259
  • [2] Quantitative susceptibility mapping and blood neurofilament light chain differentiate between parkinsonian disorders
    Zhang, Piao
    Chen, Junling
    Cai, Tongtong
    He, Chentao
    Li, Yan
    Li, Xiaohong
    Chen, Zhenzhen
    Wang, Lijuan
    Zhang, Yuhu
    FRONTIERS IN AGING NEUROSCIENCE, 2022, 14
  • [3] Quantitative Susceptibility Mapping Differentiates between Blood Depositions and Calcifications in Patients with Glioblastoma
    Deistung, Andreas
    Schweser, Ferdinand
    Wiestler, Benedikt
    Abello, Mario
    Roethke, Matthias
    Sahm, Felix
    Wick, Wolfgang
    Nagel, Armin Michael
    Heiland, Sabine
    Schlemmer, Heinz-Peter
    Bendszus, Martin
    Reichenbach, Juergen Rainer
    Radbruch, Alexander
    PLOS ONE, 2013, 8 (03):
  • [4] Quantitative Susceptibility Mapping Differentiates Between Inflammatory and Non-Inflammatory Brain Demyelination in Adrenoleukodystrophy
    Mallack, Eric J.
    Nguyen, Thanh
    ANNALS OF NEUROLOGY, 2022, 92 : S184 - S185
  • [5] Quantitative Susceptibility Mapping and Resting State Network Analyses in Parkinsonian Phenotypes-A Systematic Review of the Literature
    Pelzer, Esther A.
    Florin, Esther
    Schnitzler, Alfons
    FRONTIERS IN NEURAL CIRCUITS, 2019, 13
  • [6] Overview of quantitative susceptibility mapping
    Deistung, Andreas
    Schweser, Ferdinand
    Reichenbach, Juergen R.
    NMR IN BIOMEDICINE, 2017, 30 (04)
  • [7] The application of network mapping in differential diagnosis of parkinsonian disorders
    Eckert, Thomas
    Edwards, Christine
    CLINICAL NEUROSCIENCE RESEARCH, 2007, 6 (06) : 359 - 366
  • [8] Diffusion tensor imaging and quantitative susceptibility mapping as diagnostic tools for motor neuron disorders
    Weidman, Elizabeth K.
    Schweitzer, Andrew D.
    Niogi, Sumit N.
    Brady, Emily J.
    Starikov, Anna
    Askin, Gulce
    Shahbazi, Mona
    Wang, Yi
    Lange, Dale
    Tsiouris, Apostolos John
    CLINICAL IMAGING, 2019, 53 : 6 - 11
  • [9] Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging
    Ruetten, Pascal P. R.
    Gillard, Jonathan H.
    Graves, Martin J.
    BRITISH JOURNAL OF RADIOLOGY, 2019, 92 (1101):
  • [10] Quantitative Susceptibility Mapping: Concepts and Applications
    Reichenbach, J. R.
    Schweser, F.
    Serres, B.
    Deistung, A.
    CLINICAL NEURORADIOLOGY, 2015, 25 : 225 - 230