Farzad Fatehi

Dr. Farzad Fatehi

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Research Focus & Metrics

Academic Career Length

19Years (2008-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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24 May 2016 in Muscle & Nerve
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Journal Article
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TBTed M. Burns
Ted M. Burns
RSReza Sadjadi
Reza Sadjadi
KUKimiaki Utsugisawa
Kimiaki Utsugisawa
KGKelly G. Gwathmey
Kelly G. Gwathmey
AJAmruta Joshi
Amruta Joshi
MCMark Conaway
Mark Conaway

1 April 2009 in International Journal of Stroke
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Journal Article
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MSMohammad Saadatnia
Mohammad Saadatnia
FFFarzad Fatehi
Farzad Fatehi
KBKeivan Basiri
Keivan Basiri
SMSeyed Ali Mousavi
Seyed Ali Mousavi
GMGilda Kinani Mehr
Gilda Kinani Mehr

1 February 2018 in Multiple Sclerosis and Related Disorders
Verified
Journal Article
Closed access
MHMohammad Hossein Harirchian
Mohammad Hossein Harirchian
FFFarzad Fatehi
Farzad Fatehi
PSPayam Sarraf
Payam Sarraf
NHNiyaz Mohammadzadeh Honarvar
Niyaz Mohammadzadeh Honarvar
SBSama Bitarafan
Sama Bitarafan

15 April 2019 in Journal of Neurology
Verified
Journal Article
Closed access
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SAShahram Attarian
Shahram Attarian
FFFarzad Fatehi
Farzad Fatehi
YRYusuf A. Rajabally
Yusuf A. Rajabally
DPDavide Pareyson
Davide Pareyson

1 September 2020 in Journal of the Neurological Sciences
Verified
Journal Article
Closed access
SASiamak Abdi
Siamak Abdi
AGAskar Ghorbani
Askar Ghorbani
FFFarzad Fatehi
Farzad Fatehi

25 August 2017 in PLOS ONE
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Journal Article
Open access
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FFFarzad Fatehi
Farzad Fatehi
ESEmmanuelle Salort-Campana
Emmanuelle Salort-Campana
ATArnaud Le Troter
Arnaud Le Troter
ELEmilie Lareau-Trudel
Emilie Lareau-Trudel
MBMark Bydder
Mark Bydder
SAShahram Attarian
Shahram Attarian
Facioscapulohumeral muscular dystrophy (FSHD) is one of the most common hereditary muscular disorders. Currently FSHD has no known effective treatment and detailed data on the natural history are lacking. Determination of the efficacy of a given therapeutic approach might be difficult in FSHD given the slow and highly variable disease progression. Magnetic resonance imaging (MRI) has been widely used to qualitatively and quantitatively evaluate in vivo the muscle alterations in various neuromuscular disorders. The main aim of the present study was to investigate longitudinally the time-dependent changes occurring in thigh muscles of FSHD patients using quantitative MRI and to assess the potential relationships with the clinical findings. Thirty-five FSHD1 patients (17 females) were enrolled. Clinical assessment tools including manual muscle testing using medical research council score (MRC), and motor function measure (MFM) were recorded each year for a period ranging from 1 to 2 years. For the MRI measurements, we used a new quantitative index, i.e., the mean pixel intensity (MPI) calculated from the pixel-intensity distribution in T1 weighted images. The corresponding MPI scores were calculated for each thigh, for each compartment and for both thighs totally (MPItotal). The total mean pixel intensity (MPItotal) refers to the sum of each pixel signal intensity divided by the corresponding number of pixels. An increased MPItotal indicates both a raised fat infiltration together with a reduced muscle volume thereby illustrating disease progression. Clinical scores did not change significantly over time whereas MPItotal increased significantly from an initial averaged value of 39.6 to 41.1 with a corresponding rate of 0.62/year. While clinical scores and MPItotal measured at the start of the study were significantly related, no correlation was found between the rate of MPItotal and MRC sum score changes, MFMtotal and MFM subscores. The relative rate of MPItotal change was 2.3% (0.5–4.3)/year and was significantly higher than the corresponding rates measured for MRCS 0% (0–1.7) /year and MFMtotal 0% (0–2.0) /year (p = 0.000). On the basis of these results, we suggested that muscle MRI and more particularly the MPItotal index could be used as a reliable biomarker and outcome measure of disease progression. In slowly progressive myopathies such as FSHD, the MPItotal index might reveal subclinical changes, which could not be evidenced using clinical scales over a short period of time.