Increased iron in the substantia nigra pars compacta identifies patients with early Parkinson's disease: A 3T and 7T MRI study

被引:6
作者
Alushaj, Erind [1 ,2 ]
Handfield-Jones, Nicholas [1 ,2 ]
Kuurstra, Alan [3 ,4 ]
Morava, Anisa [5 ]
Menon, Ravi S.
Owen, Adrian M. [2 ,6 ]
Sharma, Manas [7 ,8 ]
Khan, Ali R.
MacDonald, Penny A. [2 ,8 ]
机构
[1] Western Univ, Schulich Sch Med & Dent, Dept Physiol & Pharmacol, London, ON N6A 3K7, Canada
[2] Western Univ, Western Inst Neurosci, London, ON N6A 3K7, Canada
[3] Western Univ, Robarts Res Inst, London, ON N6A 3K7, Canada
[4] Western Univ, Dept Med Biophys, London, ON N6A 3K7, Canada
[5] Western Univ, Fac Hlth Sci, Sch Kinesiol, London, ON N6A 3K7, Canada
[6] Western Univ, Dept Physiol & Pharmacol, London, ON N6A 3K7, Canada
[7] Western Univ, Dept Radiol, London, ON N6A 3K7, Canada
[8] Western Univ, Dept Clin Neurol Sci, London, ON N6A 3K7, Canada
关键词
Parkinson's disease; Neuroimaging; Quantitative susceptibility mapping; Iron; Midbrain; SUSCEPTIBILITY MAPPING QSM; SWALLOW-TAIL SIGN; BRAIN IRON; DIAGNOSTIC-ACCURACY; SPATIOTEMPORAL CHANGES; FREE-WATER; DEPOSITION; NEUROMELANIN; VALIDATION; BIOMARKERS;
D O I
10.1016/j.nicl.2024.103577
中图分类号
R445 [影像诊断学];
学科分类号
100207 ;
摘要
Degeneration in the substantia nigra (SN) pars compacta (SNc) underlies motor symptoms in Parkinson's disease (PD). Currently, there are no neuroimaging biomarkers that are sufficiently sensitive, specific, reproducible, and accessible for routine diagnosis or staging of PD. Although iron is essential for cellular processes, it also mediates neurodegeneration. MRI can localize and quantify brain iron using magnetic susceptibility, which could potentially provide biomarkers of PD. We measured iron in the SNc, SN pars reticulata (SNr), total SN, and ventral tegmental area (VTA), using quantitative susceptibility mapping (QSM) and R2* relaxometry, in PD patients and age-matched healthy controls (HCs). PD patients, diagnosed within five years of participation and HCs were scanned at 3T (22 PD and 23 HCs) and 7T (17 PD and 21 HCs) MRI. Midbrain nuclei were segmented using a probabilistic subcortical atlas. QSM and R2* values were measured in midbrain subregions. For each measure, groups were contrasted, with Age and Sex as covariates, and receiver operating characteristic (ROC) curve analyses were performed with repeated k -fold cross-validation to test the potential of our measures to classify PD patients and HCs. Statistical differences of area under the curves (AUCs) were compared using the Hanley-MacNeil method (QSM versus R2*; 3T versus 7T MRI). PD patients had higher QSM values in the SNc at both 3T (padj = 0.001) and 7T (padj = 0.01), but not in SNr, total SN, or VTA, at either field strength. No significant group differences were revealed using R2* in any midbrain region at 3T, though increased R2* values in SNc at 7T MRI were marginally significant in PDs compared to HCs (padj = 0.052). ROC curve analyses showed that SNc iron measured with QSM, distinguished early PD patients from HCs at the single-subject level with good diagnostic accuracy, using 3T (mean AUC = 0.83, 95 % CI = 0.82-0.84) and 7T (mean AUC = 0.80, 95 % CI = 0.79-0.81) MRI. Mean AUCs reported here are from averages of tests in the hold -out fold of cross-validated samples. The Hanley-MacNeil method demonstrated that QSM outperforms R2* in discriminating PD patients from HCs at 3T, but not 7T. There were no significant differences between 3T and 7T in diagnostic accuracy of QSM values in SNc.
引用
收藏
页数:15
相关论文
共 148 条
  • [1] Fast and robust three-dimensional best path phase unwrapping algorithm
    Abdul-Rahman, Hussein S.
    Gdeisat, Munther A.
    Burton, David R.
    Lalor, Michael J.
    Lilley, Francis
    Moore, Christopher J.
    [J]. APPLIED OPTICS, 2007, 46 (26) : 6623 - 6635
  • [2] A robust multi-scale approach to quantitative susceptibility mapping
    Acosta-Cabronero, Julio
    Milovic, Carlos
    Mattern, Hendrik
    Tejos, Cristian
    Speck, Oliver
    Callaghan, Martina F.
    [J]. NEUROIMAGE, 2018, 183 : 7 - 24
  • [3] The whole-brain pattern of magnetic susceptibility perturbations in Parkinson's disease
    Acosta-Cabronero, Julio
    Cardenas-Blanco, Arturo
    Betts, Matthew J.
    Butryn, Michaela
    Valdes-Herrera, Jose P.
    Galazky, Imke
    Nestor, Peter J.
    [J]. BRAIN, 2017, 140 : 118 - 131
  • [4] Analyzing the co-localization of substantia nigra hyper-echogenicities and iron accumulation in Parkinson's disease: A multi-modal atlas study with transcranial ultrasound and MRI
    Ahmadi, Seyed-Ahmad
    Boetzel, Kai
    Levin, Johannes
    Maiostre, Juliana
    Klein, Tassilo
    Wein, Wolfgang
    Rozanski, Verena
    Dietrich, Olaf
    Ertl-Wagner, Birgit
    Navab, Nassir
    Plate, Annika
    [J]. NEUROIMAGE-CLINICAL, 2020, 26
  • [5] The vulnerable ventral tegmental area in Parkinson's disease
    Alberico, Stephanie L.
    Cassell, Martin D.
    Narayanan, Nandakumar S.
    [J]. BASAL GANGLIA, 2015, 5 (2-3) : 51 - 55
  • [6] Ali Khalid, 2015, Pract Neurol, V15, P14, DOI 10.1136/practneurol-2014-000849
  • [7] Subregional analysis of striatum iron in Parkinson's disease and rapid eye movement sleep behaviour disorder
    Alushaj, Erind
    Hemachandra, Dimuthu
    Kuurstra, Alan
    Ganjavi, Hooman
    Sharma, Manas
    Kashgari, Alia
    Barr, Jennifer
    Reisman, William
    MacDonald, Penny A.
    [J]. NEUROIMAGE-CLINICAL, 2023, 40
  • [8] Quantifying iron deposition within the substantia nigra of Parkinson's disease by quantitative susceptibility mapping
    An, Hedi
    Zeng, Xiaoyan
    Niu, Tengfei
    Li, Gaiying
    Yang, Jie
    Zheng, Lanlan
    Zhou, Wei
    Liu, Hong
    Zhang, Miaomiao
    Huang, Dongya
    Li, Jianqi
    [J]. JOURNAL OF THE NEUROLOGICAL SCIENCES, 2018, 386 : 46 - 52
  • [9] Development and validation of the automated imaging differentiation in parkinsonism (AID-P): a multicentre machine learning study
    Archer, Derek B.
    Bricker, Justin T.
    Chu, Winston T.
    Burciu, Roxana G.
    McCracken, Johanna L.
    Lai, Song
    Coombes, Stephen A.
    Fang, Ruogu
    Barmpoutis, Angelos
    Corcos, Daniel M.
    Kurani, Ajay S.
    Mitchell, Trina
    Black, Mieniecia L.
    Herschel, Ellen
    Simuni, Tanya
    Parrish, Todd B.
    Comella, Cynthia
    Xie, Tao
    Seppi, Klaus
    Bohnen, Nicolaas I.
    Muller, Martijn L. T. M.
    Albin, Roger L.
    Krismer, Florian
    Du, Guangwei
    Lewis, Mechelle M.
    Huang, Xuemei
    Li, Hong
    Pasternak, Ofer
    McFarland, Nikolaus R.
    Okun, Michael S.
    Vaillancourt, David E.
    [J]. LANCET DIGITAL HEALTH, 2019, 1 (05): : E222 - E231
  • [10] Ariz M., Automatic segmentation and quantification of nigrosome-1 neuromelanin and iron in MRI: a candidate biomarker for Parkinson's disease The Catalonian Neuroimaging Parkinson's disease. Consortium, DOI [10.1101/2023.04.13.23288519, DOI 10.1101/2023.04.13.23288519]