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Automated Determination of Brain Parenchymal Fraction in Multiple Sclerosis
Umeå University, Sweden .
Umeå University, Sweden .
Umeå University, Sweden Umeå University, Sweden .
Linköping University, Center for Medical Image Science and Visualization (CMIV). Linköping University, Department of Medical and Health Sciences, Division of Cardiovascular Medicine. Linköping University, Faculty of Health Sciences. Östergötlands Läns Landsting, Heart and Medicine Center, Department of Clinical Physiology in Linköping. Not Found:Linkoping Univ, Ctr Med Imaging Sci and Visualizat, Linkoping, Sweden Linkoping Univ, Div Clin Physiol, Dept Med and Hlth, Linkoping, Sweden .
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2013 (English)In: American Journal of Neuroradiology, ISSN 0195-6108, E-ISSN 1936-959X, Vol. 34, no 3, 498-504 p.Article in journal (Refereed) Published
Abstract [en]

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.

Place, publisher, year, edition, pages
American Society of Neuroradiology , 2013. Vol. 34, no 3, 498-504 p.
National Category
Engineering and Technology
URN: urn:nbn:se:liu:diva-104303DOI: 10.3174/ajnr.A3262ISI: 000329846900009OAI: diva2:697158
Available from: 2014-02-17 Created: 2014-02-14 Last updated: 2014-02-17

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Warntjes, Jan Bertus Marcel
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Center for Medical Image Science and Visualization (CMIV)Division of Cardiovascular MedicineFaculty of Health SciencesDepartment of Clinical Physiology in Linköping
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American Journal of Neuroradiology
Engineering and Technology

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