Specific muscle strength is reduced in female knees with incidcence radiographic osteoarthritis

Validation of an active shape model-based semi-automated segmentation algorithm for the analysis of thigh muscle and adipose tissue cross-sectional areas

“…The ASM was trained using 113 axial MR images from the OAI (male: n = 49, age 62.3 ± 10.4 years, BMI 28.8 ± 3.4 kg/m 2 ; female: n = 64, age 59.6 ± 9.3 years, BMI 28.8 ± 4.6 kg/m 2 ) in which the muscles, adipose tissue and femoral bone had been manually segmented previously to study the impact of pain [ 17 , 18 ] and radiographic disease stage [ 34 ] on thigh muscle CSAs and the association between thigh muscle CSAs and incident radiographic knee OA [ 35 ]. The MR images were acquired with a T1-weighted spin echo MRI sequence from the OAI (slice thickness 5 mm; in-plane resolution 0.98 mm; no inter-slice gap, repetition time 500 ms, echo time 10 ms) [ 36 , 37 ] using a 3-T scanner (Siemens Trio, Siemens AG, Erlangen, Germany).…”

“…The segmentation method described above was applied to 20 thigh MR images from OAI participants (male: n = 6, age 66 ± 9 years, BMI 30.7 ± 4.6 kg/m 2 ; female: n = 14, age 61 ± 9 years, BMI 29.6.1 ± 5.9 kg/m 2 ) who had been previously selected and segmented manually [ 35 ]. The MR images were acquired and segmented using the same MRI protocol and manual segmentation method as the training data set and that were not included in the training data set described above.…”