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1 ese genes in rat femoral metaphyseal primary spongiosa.
2 nd also abolishes development of the primary spongiosa.
3 e zones in growth plates and reduced primary spongiosa.
4 rimary spongiosa, and 0.99 for the secondary spongiosa across all datasets; statistical equivalence w
5 in trabecular bone formation in the primary spongiosa and a delay in vascular invasion of the early
6 r both skeletal sites, regions of trabecular spongiosa and cortical bone were identified and segmente
7 hs was accompanied by a reduction in primary spongiosa and increased osteoclast surfaces on histomorp
9 ric analysis was performed to study alveolar spongiosa and periodontal ligament (PDL) modeling dynami
10 mnar structure of the physis and metaphyseal spongiosa and provides measures of tract volume and leng
11 5 for the growth plate, 0.92 for the primary spongiosa, and 0.99 for the secondary spongiosa across a
12 7 for the growth plate, 0.92 for the primary spongiosa, and 1.0 for the secondary spongiosa; statisti
13 lar bone within the epiphyseal bone, primary spongiosa, and secondary spongiosa using a deep learning
14 ents, epiphyseal bone, growth plate, primary spongiosa, and secondary spongiosa, using a 2D slice-wis
15 ation induced increased turnover of alveolar spongiosa, and the activity was localized; dramatic esca
16 p had significantly (P <0.05) less calcified spongiosa bone surface, greater periodontal ligament sur
17 ss density and RSP estimation for 45% HA and spongiosa bone, with MAPE values of 0.23% and 0.09% for
20 ed presence of cartilaginous remnants in the spongiosa, confirming a decrease in resorption of the ca
21 ion rate) were three-fold greater, calcified spongiosa decreased by two-fold, and PDL surface increas
23 All leaflets had variable increases in the spongiosa element within the leaflet itself with some di
26 cells of the perichondrium, and the primary spongiosa in fetal growth plates of mice and chickens.
33 enchyme and correlated with expansion of the spongiosa (proteoglycan-rich) region in Adamts5(-/-) val
35 primary spongiosa, and 1.0 for the secondary spongiosa; statistical equivalence within 0.05 mm, [Form
37 yseal bone, primary spongiosa, and secondary spongiosa using a deep learning-based segmentation model
38 owth plate, primary spongiosa, and secondary spongiosa, using a 2D slice-wise classification model co
39 emonstrated, however, that a close surrogate-spongiosa volume (combined tissues of trabecular bone an
41 ly, a predictive model of the total skeletal spongiosa volume (TSSV) would be a clinically useful too
44 had a defect in the formation of the primary spongiosa with reduced immature osteoid (new bone format
45 cked within an infinite extent of trabecular spongiosa, with no allowance for particle escape to cort