Literature DB >> 19927171

Determination of brain iron content in patients with Parkinson's disease using magnetic susceptibility imaging.

Wei Zhang1, Sheng-Gan Sun, Yu-Hong Jiang, Xian Qiao, Xin Sun, Yan Wu.   

Abstract

OBJECTIVE: To compare the phase radians in several cerebral regions between patients with Parkinson's disease (PD) and control subjects, and to evaluate whether iron deposition quantified by susceptibility-weighted imaging (SWI) is related to the severity of motor symptoms of PD.
METHODS: SWI consisted of both magnitude and phase images from a fully flow-compensated, 3-dimensional and gradient-echo (GRE) sequence. Magnitude and phase data were collected at GE HD 1.5T. The regions evaluated included frontal white matter, grey matter, cerebrospinal fluid, putamen, caudate nucleus (CN), substantia nigra pars compacta (SNc), substantia nigra pars reticulata (SNr), and red nucleus (RN). A total number of 42 patients (12 patients without cognitive dysfunction, and 30 with cognitive dysfunction from mild to moderate degrees) and 30 control subjects were employed in the present study.
RESULTS: The phase radians of SNc, CN and RN in PD patients were lower than those in control subjects (P<0.05).
CONCLUSION: The phase radians can be used to estimate the brain iron deposition in PD patients, which may be helpful in the diagnosis and longitudinal monitoring of PD.

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Year:  2009        PMID: 19927171      PMCID: PMC5552500          DOI: 10.1007/s12264-009-0225-8

Source DB:  PubMed          Journal:  Neurosci Bull        ISSN: 1995-8218            Impact factor:   5.203


  26 in total

1.  Artery and vein separation using susceptibility-dependent phase in contrast-enhanced MRA.

Authors:  Y Wang; Y Yu; D Li; K T Bae; J J Brown; W Lin; E M Haacke
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2.  T1 and T2 in the brain of healthy subjects, patients with Parkinson disease, and patients with multiple system atrophy: relation to iron content.

Authors:  J Vymazal; A Righini; R A Brooks; M Canesi; C Mariani; M Leonardi; G Pezzoli
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3.  Brain iron deposition in Parkinson's disease imaged using the PRIME magnetic resonance sequence.

Authors:  J M Graham; M N Paley; R A Grünewald; N Hoggard; P D Griffiths
Journal:  Brain       Date:  2000-12       Impact factor: 13.501

Review 4.  Imaging iron stores in the brain using magnetic resonance imaging.

Authors:  E Mark Haacke; Norman Y C Cheng; Michael J House; Qiang Liu; Jaladhar Neelavalli; Robert J Ogg; Asadullah Khan; Muhammad Ayaz; Wolff Kirsch; Andre Obenaus
Journal:  Magn Reson Imaging       Date:  2005-01       Impact factor: 2.546

Review 5.  Brain iron metabolism and neurodegenerative disorders.

Authors:  Jack C Sipe; Pauline Lee; Ernest Beutler
Journal:  Dev Neurosci       Date:  2002       Impact factor: 2.984

Review 6.  High-field magnetic resonance imaging of brain iron: birth of a biomarker?

Authors:  John F Schenck; Earl A Zimmerman
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7.  Quantification of errors in volume measurements of the caudate nucleus using magnetic resonance imaging.

Authors:  Kilichan Gurleyik; E Mark Haacke
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8.  Midbrain iron content in early Parkinson disease: a potential biomarker of disease status.

Authors:  W R Wayne Martin; Marguerite Wieler; Myrlene Gee
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9.  MRI assessment of basal ganglia iron deposition in Parkinson's disease.

Authors:  Lauren I Wallis; Martyn N J Paley; Jacqueline M Graham; Richard A Grünewald; Emma L Wignall; Harriet M Joy; Paul D Griffiths
Journal:  J Magn Reson Imaging       Date:  2008-11       Impact factor: 4.813

10.  MRI evaluation of the basal ganglia size and iron content in patients with Parkinson's disease.

Authors:  Paraskevi Kosta; Maria I Argyropoulou; Sofia Markoula; Spyridon Konitsiotis
Journal:  J Neurol       Date:  2005-06-29       Impact factor: 6.682

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  16 in total

Review 1.  Introduction to Quantitative Susceptibility Mapping and Susceptibility Weighted Imaging.

Authors:  Pascal P R Ruetten; Jonathan H Gillard; Martin J Graves
Journal:  Br J Radiol       Date:  2019-07-26       Impact factor: 3.039

Review 2.  Does structural neuroimaging reveal a disturbance of iron metabolism in Parkinson's disease? Implications from MRI and TCS studies.

Authors:  Adriane Gröger; Daniela Berg
Journal:  J Neural Transm (Vienna)       Date:  2012-08-09       Impact factor: 3.575

3.  Imaging for deep brain stimulation: The zona incerta at 7 Tesla.

Authors:  Hans U Kerl; Lars Gerigk; Marc A Brockmann; Sonia Huck; Mansour Al-Zghloul; Christoph Groden; Thomas Hauser; Armin M Nagel; Ingo S Nölte
Journal:  World J Radiol       Date:  2013-01-28

4.  Visualisation of the zona incerta for deep brain stimulation at 3.0 Tesla.

Authors:  H U Kerl; L Gerigk; S Huck; M Al-Zghloul; C Groden; I S Nölte
Journal:  Clin Neuroradiol       Date:  2012-02-17       Impact factor: 3.649

Review 5.  Region-Specific Iron Measured by MRI as a Biomarker for Parkinson's Disease.

Authors:  Xiaojun Guan; Xiaojun Xu; Minming Zhang
Journal:  Neurosci Bull       Date:  2017-05-17       Impact factor: 5.203

Review 6.  Iron metabolism and its detection through MRI in parkinsonian disorders: a systematic review.

Authors:  Sara Pietracupa; Antonio Martin-Bastida; Paola Piccini
Journal:  Neurol Sci       Date:  2017-09-02       Impact factor: 3.307

7.  Differentiation between Parkinson disease and other forms of Parkinsonism using support vector machine analysis of susceptibility-weighted imaging (SWI): initial results.

Authors:  S Haller; S Badoud; D Nguyen; I Barnaure; M-L Montandon; K-O Lovblad; P R Burkhard
Journal:  Eur Radiol       Date:  2012-07-15       Impact factor: 5.315

8.  Iron Accumulation Is Not Homogenous among Patients with Parkinson's Disease.

Authors:  Khashayar Dashtipour; Manju Liu; Camellia Kani; Pejman Dalaie; Andre Obenaus; Daniel Simmons; Nicole M Gatto; Mehran Zarifi
Journal:  Parkinsons Dis       Date:  2015-04-05

9.  The 'swallow tail' appearance of the healthy nigrosome - a new accurate test of Parkinson's disease: a case-control and retrospective cross-sectional MRI study at 3T.

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Journal:  PLoS One       Date:  2014-04-07       Impact factor: 3.240

Review 10.  Quantitative susceptibility mapping (QSM): Decoding MRI data for a tissue magnetic biomarker.

Authors:  Yi Wang; Tian Liu
Journal:  Magn Reson Med       Date:  2014-07-17       Impact factor: 4.668

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