AIM: Evidence suggests that subchondral bone can be used as a predictor for the onset of @entity571 . As such, there is a need to accurately and reproducibly quantify subchondral bone in areas where @entity571 develops. In this paper, we present a novel technique for the segmentation of subchondral bone in the tibiofemoral joint and assess the reproducibility of this method with multiple measures and users. METHODS: The right hind leg of seven C57BL/6 @entity19 were excised and imaged in  CT. The menisci and patella were manually segmented and the image data was Gaussian filtered and binarized. An in-house algorithm was used to generate cortical and epiphyseal volumes of interest and standard morphometric indices for bone were computed. The intraclass correlation coefficient (ICC), absolute precision error (PE( @entity168 )), and precision error as a percentage of the coefficient of variation of the repeated measurements (PE(%CV)) were calculated for each index. Additionally, an inter-user study was performed using the same indices and statistics. RESULTS: For repeated measures, ICC ranged from 0.869 (cortical bone volume fraction, femur) to 0.994 (degree of anisotropy, femur). Similarly, PE(%CV) ranged from 0.84% (cortical bone volume fraction, femur) to 5.11% (connectivity density, tibia). For repeated users, no effect was seen in the femur with a slight effect in the tibia. CONCLUSIONS: A novel method for the @entity79 is presented and is shown to be reproducible in C57BL/6 @entity19 . This tool will allow for high-throughput studies of @entity571 in animal models.

Reproducibility of compartmental subchondral bone morphometry in the XXXX tibiofemoral joint.

@entity19 :: ('10090', 'Species') :: ['mice'] @entity168 :: ('MESH:D029461', 'Disease') :: ['SD'] @entity571 :: ('MESH:D010003', 'Disease') :: ['osteoarthritis'] @entity79 :: ('MESH:D001847', 'Disease') :: ['automatic segmentation of cortical and epiphyseal bone']
@entity19 :: (10090,Species) :: ['mouse']
