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 < .001). A strong correlation existed between SyMap and the reference method (r = 0.96; P < .001) with no significant difference in mean BPF. Coefficient of variation of repeated SyMap BPF measurements was 0.45%. Scan time was <6 minutes, and postprocessing time was <2 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.
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 < .001). A strong correlation existed between SyMap and the reference method (r = 0.96; P < .001) with no significant difference in mean BPF. Coefficient of variation of repeated SyMap BPF measurements was 0.45%. Scan time was <6 minutes, and postprocessing time was <2 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.
Authors: Khalid Ambarki; Hanna Israelsson; Anders Wåhlin; Richard Birgander; Anders Eklund; Jan Malm Journal: Neurosurgery Date: 2010-07 Impact factor: 4.654
Authors: K Ambarki; T Lindqvist; A Wåhlin; E Petterson; M J B Warntjes; R Birgander; J Malm; A Eklund Journal: AJNR Am J Neuroradiol Date: 2012-05-03 Impact factor: 3.825
Authors: B Alfano; A Brunetti; E M Covelli; M Quarantelli; M R Panico; A Ciarmiello; M Salvatore Journal: Magn Reson Med Date: 1997-01 Impact factor: 4.668
Authors: Declan T Chard; Jonathan S Jackson; David H Miller; Claudia A M Wheeler-Kingshott Journal: J Magn Reson Imaging Date: 2010-07 Impact factor: 4.813
Authors: Jorge Jovicich; Silvester Czanner; Xiao Han; David Salat; Andre van der Kouwe; Brian Quinn; Jenni Pacheco; Marilyn Albert; Ronald Killiany; Deborah Blacker; Paul Maguire; Diana Rosas; Nikos Makris; Randy Gollub; Anders Dale; Bradford C Dickerson; Bruce Fischl Journal: Neuroimage Date: 2009-02-20 Impact factor: 6.556
Authors: Chris H Polman; Stephen C Reingold; Brenda Banwell; Michel Clanet; Jeffrey A Cohen; Massimo Filippi; Kazuo Fujihara; Eva Havrdova; Michael Hutchinson; Ludwig Kappos; Fred D Lublin; Xavier Montalban; Paul O'Connor; Magnhild Sandberg-Wollheim; Alan J Thompson; Emmanuelle Waubant; Brian Weinshenker; Jerry S Wolinsky Journal: Ann Neurol Date: 2011-02 Impact factor: 10.422
Authors: I Blystad; I Håkansson; A Tisell; J Ernerudh; Ö Smedby; P Lundberg; E-M Larsson Journal: AJNR Am J Neuroradiol Date: 2015-10-15 Impact factor: 3.825
Authors: Nicole Schwendener; Christian Jackowski; Frederick Schuster; Anders Persson; Marcel J Warntjes; Wolf -Dieter Zech Journal: Int J Legal Med Date: 2017-06-17 Impact factor: 2.686