Comparison of the racing performance of Thoroughbreds with versus without osteochondral fragmentation of the accessory carpal bone identified on yearling sales repository radiographs

SummaryImplant associated fractures have not been reported in horses. Two horses were evaluated for fractures in the fore limbs, occurring subsequent to previous fracture repair. Previously, the horses had sustained fractures of unusual configurations which were repaired using internal fixation. Following repair and healing of the fractures, secondary fractures occurred in the same bone, but in a different (more common) configuration. The first horse was evaluated ten months following lag screw fixation of a longitudinal fracture of the proximal phalanx in a frontal plane. This horse presented with a more typical comminuted fracture in the sagittal plane with the screws from the first fixation lying in the fracture line. This fracture was successfully treated with a cast. The second horse was examined eightteen months after repair of a medial sagittal slab fracture of the third carpal bone. The horse presented with a more typical dorsal slab fracture of the third carpal bone with the previously placed lag screw lying in the fracture line. The screw was removed and a lag screw was placed perpendicular to the new fracture plane through the dorsal surface of the third carpal bone to repair the fracture.

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Lack of Correlation between Ulnar Variance and Carpal Bone Angles on Lateral Radiographs in Normal Wrists

Acta Radiologica ◽

10.3109/02841859209173176 ◽

1992 ◽

Vol 33 (3) ◽

pp. 275-276 ◽

Cited By ~ 1

Author(s):

C. Falck Larsen ◽

S. Lindequist ◽

T. Bellstrøm

Keyword(s):

Ulnar Variance ◽

Carpal Bone

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Carpal Bone Segmentation Using Fully Convolutional Neural Network

Current Medical Imaging Formerly Current Medical Imaging Reviews ◽

10.2174/1573405615666190724101600 ◽

2019 ◽

Vol 15 (10) ◽

pp. 983-989

Author(s):

Liang Kim Meng ◽

Azira Khalil ◽

Muhamad Hanif Ahmad Nizar ◽

Maryam Kamarun Nisham ◽

Belinda Pingguan-Murphy ◽

...

Keyword(s):

Neural Network ◽

Convolutional Neural Network ◽

Automatic Segmentation ◽

Ground Truth ◽

Bone Age ◽

Image Feature ◽

Qualitative Assessment ◽

Carpal Bone ◽

Radiographic Images ◽

Accurate Quantitative Analysis

Background: Bone Age Assessment (BAA) refers to a clinical procedure that aims to identify a discrepancy between biological and chronological age of an individual by assessing the bone age growth. Currently, there are two main methods of executing BAA which are known as Greulich-Pyle and Tanner-Whitehouse techniques. Both techniques involve a manual and qualitative assessment of hand and wrist radiographs, resulting in intra and inter-operator variability accuracy and time-consuming. An automatic segmentation can be applied to the radiographs, providing the physician with more accurate delineation of the carpal bone and accurate quantitative analysis. Methods: In this study, we proposed an image feature extraction technique based on image segmentation with the fully convolutional neural network with eight stride pixel (FCN-8). A total of 290 radiographic images including both female and the male subject of age ranging from 0 to 18 were manually segmented and trained using FCN-8. Results and Conclusion: The results exhibit a high training accuracy value of 99.68% and a loss rate of 0.008619 for 50 epochs of training. The experiments compared 58 images against the gold standard ground truth images. The accuracy of our fully automated segmentation technique is 0.78 ± 0.06, 1.56 ±0.30 mm and 98.02% in terms of Dice Coefficient, Hausdorff Distance, and overall qualitative carpal recognition accuracy, respectively.

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Estimates of Genetic and Phenotypic Parameters for Racing Performance in Young Trotters

Acta Agriculturae Scandinavica ◽

10.1080/00015129109439925 ◽

1991 ◽

Vol 41 (4) ◽

pp. 427-436 ◽

Cited By ~ 12

Author(s):

M. T. Saastamoinen ◽

M. J. Ojala

Keyword(s):

Racing Performance

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Maximal Isometric or Eccentric Hamstring Strength—Which Test Modality Might Be More Suitable for Assessments in Youth Alpine Ski Racers?

International Journal of Environmental Research and Public Health ◽

10.3390/ijerph18042138 ◽

2021 ◽

Vol 18 (4) ◽

pp. 2138

Author(s):

Roland Luchner ◽

Lisa Steidl-Müller ◽

Martin Niedermeier ◽

Christian Raschner

Keyword(s):

Mixed Model ◽

Intraclass Correlation ◽

Test Procedure ◽

Knee Injuries ◽

Racing Performance ◽

Age Appropriate ◽

Mean Differences ◽

Fitness Programs ◽

Test Retest Reliability ◽

Ski Racers

Background: Physical fitness is an important component in the development of youth alpine ski racers. To write systematically planned and age-appropriate fitness programs athletes need to be physically tested at regular intervals at an early age. Although well-developed hamstring muscle strength is important for alpine ski racing performance and the prevention of serious knee injuries, it has not been well investigated, especially in youth athletes. Accordingly, the first aim of the present study was to assess the test-retest reliability of the maximum bilateral eccentric (MBEHS) and unilateral isometric (MUIHS) hamstring tests. The second aim of the present study was to assess whether the results of these two methods correlate and if it is possible to commit to one of the two methods to provide an economic test procedure. Methods: The first study included 26 (14 females/12 males) youth alpine ski racers aged between 12 and 13 years. All athletes performed two MBEHS and two MUIHS tests, 7 days apart. The intraclass correlation coefficient (ICC 3,1) and their 95% confidence intervals based on a consistency two-way mixed model were used to estimate the reliability of the two different test modalities. The second study included 61 (27 females/34 males) youth alpine ski racers aged between 10 and 13 years. All athletes performed one MBEHS and one MUIHS test. Bland-Altman plots and the 95% limits of agreement as well as correlations by Pearson (r) between the different test modalities were assessed. Results: In study 1 “poor” to “moderate” (MBEHS right leg 0.79 (0.58–0.90); left leg 0.83 (0.66–0.92); MUIHS right leg 0.78 (0.56–0.89); left leg 0.66 (0.37–0.83)) ICC values and 95% confident intervals were obtained. Standard error of measurement (SEM) between trails was between 18.3 and 25.1 N. Smallest detectable difference (SDD) was between 50.8 and 69.5 N. In study 2 mean differences between MBEHS and MUIHS was around 20 N with higher values for MBEHS. Significant moderate-to-strong correlations were found between the test modalities (r = 0.74–0.84, p <0.001). Conclusions: The MBEHS test has higher ICC values, lower CV values, higher SEM values and lower SDD values than the MUIHS test. All this suggests that the MBEHS test is more suitable than the MUIHS test to determine the maximum hamstring force in young alpine ski racers.

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