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Sökning: WFRF:(Ambarki Khalid) > (2010-2014) > Automated Determina...

Automated Determination of Brain Parenchymal Fraction in Multiple Sclerosis

Vågberg, Mattias (författare)
Umeå universitet,Klinisk neurovetenskap,Umeå University, Sweden
Lindqvist, T. (författare)
Umeå universitet,Diagnostisk radiologi,Umeå University, Sweden
Ambarki, Khalid (författare)
Umeå universitet,Diagnostisk radiologi,Radiofysik,Centrum för medicinsk teknik och fysik (CMTF),Umeå University, Sweden Umeå University, Sweden
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Warntjes, Jan Bertus Marcel (författare)
Östergötlands Läns Landsting,Linköpings universitet,Centrum för medicinsk bildvetenskap och visualisering, CMIV,Avdelningen för kardiovaskulär medicin,Hälsouniversitetet,Fysiologiska kliniken US
Sundström, Peter (författare)
Umeå universitet,Klinisk neurovetenskap,Umeå University, Sweden
Birgander, Richard (författare)
Umeå universitet,Diagnostisk radiologi,Umeå University, Sweden
Svenningsson, Anders (författare)
Umeå universitet,Klinisk neurovetenskap,Umeå University, Sweden
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 (creator_code:org_t)
American Society of Neuroradiology, 2013
2013
Engelska.
Ingår i: American Journal of Neuroradiology. - : American Society of Neuroradiology. - 0195-6108 .- 1936-959X. ; 34:3, s. 498-504
  • Tidskriftsartikel (refereegranskat)
Abstract Ämnesord
Stäng  
  • BACKGROUND AND PURPOSE: Brain atrophy is a manifestation of tissue damage in MS. Reduction in brain parenchymal fraction is an accepted marker of brain atrophy. In this study, the approach of synthetic tissue mapping was applied, in which brain parenchymal fraction was automatically calculated based on absolute quantification of the tissue relaxation rates R1 and R2 and the proton attenuation. MATERIALS AND METHODS: The BPF values of 99 patients with MS and 35 control subjects were determined by using SyMap and tested in relationship to clinical variables. A subset of 5 patients with MS and 5 control subjects were also analyzed with a manual segmentation technique as a reference. Reproducibility of SyMap was assessed in a separate group of 6 healthy subjects, each scanned 6 consecutive times. RESULTS: Patients with MS had significantly lower BPF (0.852 0.0041, mean +/- SE) compared with control subjects (0.890 +/- 0.0040). Significant linear relationships between BPF and age, disease duration, and Expanded Disability Status Scale scores were observed (P less than .001). A strong correlation existed between SyMap and the reference method (r = 0.96; P less than .001) with no significant difference in mean BPF. Coefficient of variation of repeated SyMap BPF measurements was 0.45%. Scan time was less than6 minutes, and postprocessing time was less than2 minutes. CONCLUSIONS: SyMap is a valid and reproducible method for determining BPF in MS within a clinically acceptable scan time and postprocessing time. Results are highly congruent with those described using other methods and show high agreement with the manual reference method.

Ämnesord

MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Neurologi (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Neurology (hsv//eng)
MEDICIN OCH HÄLSOVETENSKAP  -- Klinisk medicin -- Radiologi och bildbehandling (hsv//swe)
MEDICAL AND HEALTH SCIENCES  -- Clinical Medicine -- Radiology, Nuclear Medicine and Medical Imaging (hsv//eng)

Nyckelord

TECHNOLOGY
TEKNIKVETENSKAP

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