This study from Amsterdam looked at the validation of the automated method VIENA (Ventricular Image Evaluation, using Normalization, of Atrophy) for measuring the percentage ventricular volume change (PVVC) between two scans.
Ventricular enlargement has proven to be a sensitive indirect measure of ongoing neurodegeneration in MS, AD, and healthy aging. The researchers modified the SIENA (Structural Image Evaluation, using Normalization, of Atrophy) method to measure ventricular enlargement instead of whole brain shrinkage.
Accuracy was assessed by comparing PVVC values from VIENA to manual outlining. The stringent concordance correlation coefficient (CCC) was used to quantify absolute agreement.
The results were very comparable with those of labour-intensive manual measurements, with high CCC value of 0.84 showing good absolute agreement. The initial ventricular volume or ventricular volume change affected performance of the method.
Therefore, the fully automated VIENA method for measuring PVVC has good accuracy and precision across different image types. It can be used to measure PVVC in a fully automated fashion with limited calculation time. It is an important tool for investigating ventricular volume change in large datasets and there is scope for further improvement to increase its accuracy.
Authors: Vrenken H, Vos EK, van der Flier WM
Source: Hum Brain Mapp. 2013 Jan 30. doi: 10.1002/hbm.22237. [Epub ahead of print]
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