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To enable a quantification of net joint moments and joint reaction forces, …
Biology Articles » Zoology » Zoopathology » Joint axes of rotation and body segment parameters of pig limbs » Findings
Net joint moments and joint reaction forces can be quantified using inverse dynamic modeling [1,2], provided that knowledge of the body segment parameters (BSPs) and the locations of the joint axes of rotation (JARs) exists. BSPs are required as input for the inverse dynamic model, and JARs define the boundaries of the model segments. To the best of our knowledge neither BSPs nor JARs have been studied in pigs, therefore this study aimed to locate the mediolateral JARs and establish the BSPs of segments from fore- and hindlimbs of healthy pigs.
To locate the JARs 12 Duroc-Yorkshire-Landrace crossbred (D(YL)) pigs were studied: six castrates and six gilts without clinical limb abnormalities. Their body weight (BW) at slaughter was 77 ± 7 kg. Right fore- and hindlimbs were removed without disarticulating the joints. The eight joints examined were the: scapulohumeral (shoulder, 1F); humeroradial (elbow, 2F); carpal complex (carpal, 3F); metacarpophalangeal (forefetlock, 4F); coxofemoral (hip, 1H); femorotibial (stifle, 2H); tarsal (hock, 3H) and metatarsophalangeal joint (hindfetlock, 4H) (Fig. 1). With the bones lying on the medial side digital photos were taken of each joint in extended, neutral and flexed position around the mediolateral axis. JARs were calculated according to the Realeaux-technique previously applied to the equine limbs . The photos were aligned by two distinct landmarks on one bone of the joint. On the other bone the JAR was located as the intersection of the mid-perpendicular lines of the displacement vectors of two distinct landmarks at consecutive joint positions. Usually, three points of intersection were generated therefore an arithmetic average of the points was calculated. Results were described qualitatively in relation to bony landmarks palpable on the skin surface. Measured on a test object (five measurements of three JAR positions repeated on two days) the JAR technique absolute error was 0.31 ± 0.09 cm, calculated as the mean distance of the estimated JARs from the known JARs. The variable error was 0.05 ± 0.03 cm, calculated as the mean distance between pairs of the estimated JARs. An ANOVA revealed no significant differences between days, neither in absolute error (F = 2.63; P = 0.14) nor in variable error (F = 1.60; P = 0.24).
inertia = (ml·g·rt2·tl2)/2sp(1)
in which external load mass (ml) was 0.203 kg, gravitational acceleration (g) was 9.82 m/s2, turntable radius (rt) was 0.15 m, and distance between photocells (sp) was 1.317 m. Segment inertia was calculated by subtracting the inertia of the unloaded turntable from the inertia of the loaded turntable. The humerus, radius/ulna, and tibia were placed with the proximal segment end aligned with the turntable center, so these inertias around the proximal segment end (Iprox) were converted to inertias around the segment COM (ICOM) using the parallel-axes theorem in formula 2:
ICOM = Iprox - ms·dprox2(2)
where ms was the segment mass. The femur was placed with the COM at the turntable center and no conversion was necessary. The metacarpus, forepastern, metatarsus, and hindpastern were too light (COM was estimated from circumference and length  according to formula 3:
ICOM = ms/12·(length2 + 0.076·circumference2)(3)
assuming cylindrical segments. Mass, length and dprox were measured once on five animals, whereas circumference was measured once on three animals. Load drop time for the unloaded turntable and for each segment was measured six times from which individual means were calculated. Results were reported as group average with standard deviations. Paired t-tests were performed to compare differences in segment mass, length and inertia for the fore- and hindlimbs. Level of significance was 5%.
The shoulder JAR was on the humerus' head, near the posterior part of the greater tubercle. The elbow JAR was mainly located on or around the lateral condyle of the humerus, where the lateral collateral ligament is attached. The rotation axis of the carpal joint complex was mostly on and around the fourth carpal bone, on which the accessorioquartale ligament is attached. The forefetlock JAR was located around the most distal part of the fourth metacarpal bone, slightly distal and posterior to the attachment site of the lateral collateral ligament. The hip JAR was located posteriorly on the greater trochanter. The stifle JAR was just distal and anterior to the femur's lateral condyle, the attachment site of the lateral collateral ligament. The hock JAR was located around the attachment site of the lateral collateral ligament on the fibula's lateral malleolus. The hindfetlock JAR was distal to the lateral condyle on the fourth metatarsal bone. The 12 individual JARs and their averages scaled to the fore- and hindlimb of one randomly chosen pig are shown in Fig. 1.
For palpation purposes the JARs were mainly at or near the attachment site of the lateral collateral joint ligaments, thus allowing movements without excessive ligament strain. The JAR locating method assumed that all joints were revolute, however the spread locations of JARs suggested that, for instance in the hip and stifle joints, slight cranio-caudal translation may also have occurred. Besides, the removal of muscle and skin to expose bony landmarks and to avoid skin movement errors may have allowed the joints to deviate slightly from their anatomical sagittal plane. Nevertheless, large joint rotations were performed between consecutive positions to minimize JAR estimation errors [5,6].
Adding all limb segments the forelimb and hindlimb weighed 3.3 ± 0.2% BW and 8.6 ± 0.2% BW, respectively; the forelimb length was 40.6 ± 1.5 cm and the hindlimb measured 52.9 ± 1.6 cm, thus the forelimb was significantly lighter and shorter than the hindlimb (P 1). The COMrel was in the proximal part of all segments. Segment mass and inertia decreased with increasing distance from the trunk, thus proximal segments were the heaviest and had the largest inertias.
The BW of the pigs in the BSP study varied 7% between individuals, whereas the BSPs varied more, e.g. the inter-individual coefficient of variations of the measured inertia were: humerus 14%; radius/ulna 31%; femur 7% and tibia: 28%. These variations were in line with those reported for horses [7,8] and dogs . Although the dissection procedure was performed by the same experienced technician this may have contributed to the variation. Furthermore the variation between body segments from pigs of similar BW may be explained by conformation differences, e.g. the large variation of the metacarpus was mainly caused by a very short (5.0 cm) and light (0.091 kg) segment in one pig.
The COM and inertia of the toe segments were approximated, as these segments could not be balanced and were too light to have their inertia measured. However considering their small masses, their inertia will be negligible therefore it was approximated as the lowest reasonable input value for the inverse dynamics model, based on resolution limits. In inverse dynamics the inertias are used for calculating net joint moments only, and during the stance phase contributions from inertial parameters to net joint moments are very small because the angular accelerations of the limb segments are low . Furthermore measuring the BSPs on exsanguinated and frozen segments resulted in lower masses due to the 5.2% BW blood loss and water evaporation. However the distribution of blood and water cannot be assumed to be uniform across segments, because distal segments have a higher bone to muscle ratio and thus less blood than proximal segments, which should be accounted for in inverse dynamic modeling.
This investigation offers the first experimental data on the JARs and BSPs of pigs' limbs, thus enabling a quantification of net joint forces and moments.
Competing interests The author(s) declare that they have no competing interests. Authors' contributions VMT participated in the study design, carried out the experiments and drafted the manuscript. FAT calculated the JAR locations. BJ and BRJ designed the experiments and helped drafting the manuscript. All authors read and approved the final manuscript. Acknowledgements This project (no. 3412-04-00114) was funded by The Danish Ministry of Food, Agriculture and Fisheries.
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