![]() Average runtime for automatic processing of the image data for the automated assessment was 16.6 ± 1.9 min. ![]() ![]() The intra-class correlation coefficients between manual and automated alpha angle measurements were ICC = 0.24 (p = 0.052 observer 1, 1st measurement), ICC = 0.32 (p = 0.015 observer 1, 2nd measurement), ICC = 0.50 (p < 0.001 observer 2, 1st measurement), and ICC = 0.45 (p < 0.001 observer 2, 2nd measurement). Inter-observer reproducibility between both observers in the first (ICC 0.45 p < 0.001) and second (ICC 0.56 p < 0.001) manual alpha angle assessment was moderate. The first observer’s intra-observer reproducibility was good (ICC 0.77 p < 0.001) while the second observer’s was good-to-excellent (ICC 0.93 p < 0.001). Both techniques were compared regarding the time taken (in minutes) and effort required, measured as the amount of mouse button presses performed. Intra- and inter-observer reproducibility and correlation of manual and automated alpha angle measurements were calculated using intra-class correlation (ICC) analysis. Two observers conducted manual measurements. MethodsĪlpha angles were measured with manual and automated techniques, using postprocessing software in nineteen hip MRIs of FAI syndrome patients. This pilot study aimed to assess the feasibility of automated alpha angle measurements in patients with FAI syndrome, and to compare automated with manual measurements data with regard to the time and effort needed in each method. An abnormal manually calculated alpha angle in magnetic resonance imaging (MRI) is traditionally utilized to diagnose abnormal femoral head-neck offset. Diagnosis is based on both clinical and radiographic parameters. Femoroacetabular impingement (FAI) syndrome is an established pre-osteoarthritic condition.
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