Abstract
Purpose: To investigate intercenter agreement of brain volume (change) measurement in multiple sclerosis (MS) using structural image evaluation using normalization of atrophy (SIENA) and the cross-sectional version of SIENA (SIENAX) with additional manual editing to correct for inadequate brain extraction. Materials and Methods: Baseline and follow-up T1-weighted MR images of 20 MS patients were dispatched to five centers. Each center performed fully-automated and manually-edited analyses for SIENAX, yielding normalized brain volume (NBV), and SIENA, yielding percentage brain volume change (PBVC). Intercenter agreement was assessed with the concordance correlation coefficient (CCC). Results: Intercenter agreement was perfect for fully automated NBV and PBVC (both CCC = 1.0), and remained substantial upon manual editing (CCC = 0.94 for NBV, CCC = 0.95 for PBVC). Mean NBV values for each center decreased significantly after manual editing (overall mean NBV = 1605.3 cm3 vs. 1651.1 cm3 without manual editing; t = -4.58, P < 0.001). Total variance in PBVC decreased significantly by a factor of 1.8 after manual editing (σ2 = 2.82 before, and σ2 = 1.54 after manual editing, P < 0.05). Conclusion: Substantial intercenter agreement was found for manually-edited SIENAX and SIENA, suggesting that measurements from multiple centers may be pooled. Manual editing reduces overestimation of NBV, and is likely to increase statistical power for PBVC.
Original language | English |
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Pages (from-to) | 881-885 |
Number of pages | 5 |
Journal | Journal of magnetic resonance imaging |
Volume | 26 |
Issue number | 4 |
DOIs | |
Publication status | Published - 1 Oct 2007 |
Keywords
- Adult
- Atrophy
- Automation
- Brain/metabolism
- Female
- Humans
- Image Processing, Computer-Assisted/methods
- Magnetic Resonance Imaging/methods
- Male
- Models, Statistical
- Multiple Sclerosis/pathology
- Pattern Recognition, Automated
- Reproducibility of Results