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Erschienen in: Journal of Neurology 5/2018

16.03.2018 | Original Communication

Within-patient fluctuation of brain volume estimates from short-term repeated MRI measurements using SIENA/FSL

verfasst von: Roland Opfer, Ann-Christin Ostwaldt, Christine Walker-Egger, Praveena Manogaran, Maria Pia Sormani, Nicola De Stefano, Sven Schippling

Erschienen in: Journal of Neurology | Ausgabe 5/2018

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Abstract

Background

Measurements of brain volume loss (BVL) in individual patients are currently discussed controversially. One concern is the impact of short-term biological noise, like hydration status.

Methods

Three publicly available reliability MRI datasets with scan intervals of days to weeks were used. An additional cohort of 60 early relapsing multiple sclerosis (MS) patients with MRI follow-ups was analyzed to test whether after 1 year pathological BVL is detectable in a relevant fraction of MS patients. BVL was determined using SIENA/FSL. Results deviating from zero in the reliability datasets were considered as within-patient fluctuation (WPF) consisting of the intrinsic measurement error as well as the short-term biological fluctuations of brain volumes. We provide an approach to interpret BVL measurements in individual patients taking the WPF into account.

Results

The estimated standard deviation of BVL measurements from the pooled reliability datasets was 0.28%. For a BVL measurement of x% per year in an individual patient, the true BVL lies with an error probability of 5% in the interval x% ± (1.96 × 0.28)/(scan interval in years)%. To allow a BVL per year of at least 0.4% to be identified after 1 year, the measured BVL needs to exceed 0.94%. The median BVL per year in the MS patient cohort was 0.44%. In 11 out of 60 MS patients (18%) we found a BVL per year equal or greater than 0.94%.

Conclusion

The estimated WPF may be helpful when interpreting BVL results on an individual patient level in diseases such as MS.
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Metadaten
Titel
Within-patient fluctuation of brain volume estimates from short-term repeated MRI measurements using SIENA/FSL
verfasst von
Roland Opfer
Ann-Christin Ostwaldt
Christine Walker-Egger
Praveena Manogaran
Maria Pia Sormani
Nicola De Stefano
Sven Schippling
Publikationsdatum
16.03.2018
Verlag
Springer Berlin Heidelberg
Erschienen in
Journal of Neurology / Ausgabe 5/2018
Print ISSN: 0340-5354
Elektronische ISSN: 1432-1459
DOI
https://doi.org/10.1007/s00415-018-8825-8

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