Tissues were harvested from a 7-years old Thoroughbred (TB), which was euthanized as consequence of a catastrophic fracture, which took place during the final competition of a traditional horse race (“Palio di Asti”, Italy) in 2015. The injury occurred on the track realized in Piazza Alfieri, the largest square in the city centre of Asti. The racing circuit has triangular shape and the race is performed in a clockwise direction. The horse of the study fell down in correspondence of the entrance of the second curve due to sudden collapse of the left forelimb (LF) during the stance phase of the stride, as observed on the recorded tape of the competition. The animal exhibited a left leading transverse gallop. After standing up, the horse was not weight bearing on the LF and the carpus was barely unstable. First aid was immediately provided including immobilisation of the limb and the animal was transported to the closest equine hospital. After admission, radiographic examination of the entire LF was performed and Cr bone fracture was diagnosed. The owner denied any treatment and therefore the horse was humanely euthanatized. After obtaining the owner consent, anatomical specimens were collected for study. The entire flow chart of the study is reported in Figure 6.
CT scan
Limb was amputated at the level of the proximal epiphysis of the radius and immediately frozen. Afterwards CT scan (General Electric Hi-Speed Fx; detector rows of 2.0 mm each; collimation, 120 kVp; tube charge, 130 mAs; and pitch, 1.0) of the limb was performed to evaluate the configuration of the fracture lines. The specimen was placed with the carpus in full extension on the CT table into a leg-supporting pad with the long axis of the limb parallel to the CT gantry. Contiguous 2.0 mm transverse slices were acquired of the region of interest (ROI), from the diaphysis of the radius to the middle third of the third metacarpal region. Specimen was examined in a proximal-to-distal direction along the transverse, sagittal and coronal cutting plans, and the generated images were viewed using a bone window. Elaboration in 2D and volume rendering of the bony structures was performed using a DICOM software (OsiriX Lite; Pixmeo SARL, Bernex, Switzerland) and evaluated by an experience radiologist.
Pathology
Macroscopic evaluation of the antebrachio-carpal and inter-carpal joints was performed after careful dissection and disarticulation of the carpal joints compartments. Macroscopic cartilage lesions were scored accordingly with the technique described by McIlwraith et al.[28]. Indian ink solution diluted with phosphate-buffered saline (1:5) was used to stain the superficial hyaline cartilage as described by Schmitz et al. [29] and the stained specimens were photographed using a high-resolution digital camera.
Findings were evaluated according to the following classification: grade 1 (intact surface), when surface was normal and smooth in appearance and did not retain Indian ink, grade 2 (minimal fibrillation), when surface retained Indian ink as elongated specks or light-grey patches, grade 3 (overt fibrillation), when area were velvety in appearance and retained Indian ink as intense black patches, and grade 4 (erosion), when area of cartilage exposing the underlying subchondral bone was evident.
Further Specimen processing
The distal epiphysis of the radius, the proximal and the distal rows of the cuboid carpal bones with the corresponding articular surfaces were carefully dissected and stored at -20°C, until further examination. All disarticulated bones were identified with an ID number.
Micro-computed tomographic (µCT) analysis
Specimens were submitted to the Istututo Ortopedico Rizzoli (IOR, Bologna, Italy) for µCT scan (high-resolution µCT Skyscan 1176 Bruker, Belgium). During µCT acquisition a 65-kV voltage and a current of 385 µA were applied to the source interposing a 1 mm thick aluminium filter. Specimens were rotated 180° following a 0.4° rotation steps. The scan images obtained (1336x3936 pixels) have a nominal resolution (pixel size) of 17.5 µm; and were then reconstructed with the NRecon program (version 1.6.10.4, Bruker) to obtain 5911 micro-tomographic sections (each 3936x3936 pixels, keeping the relative pixel size). As correction factors for the reconstructions, in addition to the specific alignment relative to each single scan, beam hardening correction, smoothing and ring artefacts reduction were used. Specimens were examined along the transverse, sagittal, and coronal cutting plans. Further elaborations in 2D and volume rendering were performed. False colours were attributed to tissues in relation to their structural density using yellow ochre for the bone and light blue for the hyaline cartilage. Multiple planes for bone assessment were planned in the distal radial epiphysis, where the majority of the cartilage lesions were localised, to map the entire subchondral bone in relation to the severity of hyaline cartilage lesions. The 2D sections were examined to identify a pattern of bone degenerative changes using a structural score, where score 1: no irregularities, score 2: surface irregularities and pits sometimes associated with focal porosity in the subchondral bone, score 3: surface irregularities and pits with marked focal porosity throughout the full depth of the subchondral and trabecular bone[4]. Discrete volumes of interest (VOI) in the distal radial epiphysis and in the corresponding cuboid carpal bones were identified for quantitative analyses. Parameters measured included bone volume fraction (BV/TV), trabecular thickness (Tb.Th), trabecular separation (Tb.Sp) and number (Tb.N), trabecular pattern factor (Tb.Pf), structure model index (SMI), degree of anisotropy (Da) and C.Th. Bone mineral density was not considered for the analysis because the potential bias related to the freezing processing of the specimen. After µCT assessment, specimens were stored again in PBS at +4°C.
Histopathology
Specimens of distal radial epiphysis were processed for histological analysis. Multiple cut lines were planned in the articular surface of the distal radius to map the entire articular cartilage of this specimen in relation of the severity of the macroscopic evaluation. Fourteen osteochondral pieces were obtained (Figure 1). Cuts for histological examination were preferentially performed in the regions where macroscopic cartilage lesions were observed. After fixation in 10% formalin for 24h and rinsing in water, specimens were decalcified with a 5% formic acid solution and 4% hydrochloric acid in 1 L distilled water, respecting the proportion for the desired volume and remained in a descaling solution for one month, and the hardness of the bone component was systematically checked. After descaling, samples were rinsed in water and then dehydrated in an increasing series of ethyl alcohol (70%, 95% and 100%), passed in xylol and included in paraffin blocks. For each osteochondral piece, two sections of 5 µms thickness were cut along the transverse plane of the carpus to observe both the hyaline cartilage and the corresponding SCB. Sections were stained with H&E and with SOFG. The stained sections were then acquired at 100x for further analysis through a digital scanner (Leica Biosystems) and assessed by one author (AB) using the OARSI osteoarthritis cartilage histopathology assessment system [28] to determine the histopathology grading of the articular damage. A site-by-site comparison was performed between the histopathology evaluation of the hyaline cartilage and the corresponding µCT sections of the SCB.
Computation modelling
Starting from the CT scans all the articulating bones of the carpal joint were segmented and the respective 3D solid geometries were created using commercial software for 3D image processing (Mimics, Materialize, USA). Specifically, since the Cr was fractured into two main pieces, it was virtually reconstructed by aligning the bone fragments and applying a wrapping function to reproduce the non-fractured bone surface. Both the segmentation and reconstruction processes were supported by a veterinary surgeon (AB). Therefore, the obtained 3D geometries were imported into a multibody software (MD Adams, MSC Software Corporation, USA), where a dynamic model was implemented.
The model included the following bones obtained from the CT scans (Figure 7): the distal radius, the Cr, the Ci, the the Cu, the second carpal bone (C2), the C3, the C4, the proximal metacarpal bone. In addition to the mentioned bones, the humerus, the proximal radius, the ulna, the distal metacarpal bone, and the phalanges were included (Figure 8a) by adapting standardized geometries to the specific horse sizes. A value of density equal to 1590 kg/m3 was assigned to the bones [30], thus, the inertial characteristics and centre of mass were computed for each body segment. Moreover, the body of the horse was simplified by using a cylindrical geometry having a mass equal to the body weight, that is 500 kg.
As regarding the articular joints, the shoulder, elbow, and fetlock were modelled as hinges, thus, each of them allows for only a rotation (i.e., 1 degree of freedom) on the sagittal anatomical plane, whereas the articulations between phalanges were considered fixed (Figure 8b). Since this study was focused on the investigation of the forces generated inside the carpal joint, contacts between the articulating surfaces of the carpal bones and the retaining actions of the articular ligaments were implemented. However, the complexity of the joint, due to the numerosity of its anatomical structures (i.e., the various osseous segments, ligaments, and tendinous structures), required the introduction of some modelling simplifications. First, the relative motion among the C2, C3 and C4 bones was neglected by fixing them together. Second, only the collateral ligaments and the dorsal retinaculum were modelled whereas the constraining effect of the intercarpal ligaments and soft tissues that surround the joint was represented by means of bushing elements. Specifically, each collateral ligament was represented by means of two branches, i.e., the long and short medial collateral ligament (l-MCL and s-MCL), the long and short lateral collateral ligament (l-LCL and s-LCL). The dorsal retinaculum was represented by two branches per joint side, i.e., the long and short medial retinaculum (l-MR and s-MR), the long and short lateral retinaculum (l-LR and s-LR). Each branch was modelled as a non-linear only-tension spring [31] having the characteristic stiffness parameters adapted from the literature [30] and the slack lengths of the ligaments tuned, by means of preliminary simulations, starting from the modelled ligament lengths measured with the joint at its resting position (Additional file 2). Origin and insertion points of the branches were deduced on the base of anatomical references (Figure 7b-d). Each bushing element was implemented to generate a six-components force (i.e., 3 translational forces and 3 torques) acting between two bones proportionally to their relative linear and angular displacements and velocities (Addition file 3).
The intra-articular contact forces were calculated by means of an interpenetration function taking into account the total C.Th between the contacting bones (Additional file 4).The value of the C.Th of the carpal bones and radius considered in the study has been previously reported in literature by Murray Rachel et al. [32] and Lee et al. [33]. Therefore, three different contact pairs were defined between the distal radius and the Cr, Ci, Cu bones, respectively. Articular contacts were assumed frictionless. In addition, a further contact was defined between the limb and the ground. Also, the gravity force was considered for the simulation.
To simulate the full-gallop of the horse when the accident occurred, averaged kinematic curves found in literature [34], expressed as flexion/extension angle vs. percentage of stride, were properly scaled in time and prescribed to the joint represented in the model.
Furthermore, video footages of the race, acquired from different points of view, were analysed to extract useful information to replicate the dynamic conditions of the accident, such as the horse velocity and the front limb inclination with respect to the ground (Figure 8a), i.e., 14 m/s and 56°, respectively. The whole simulated stride has a duration of 0.102 msec.
Locations and magnitudes of the intra-articular contact forces were obtained as output from the computational simulation and compared with the location of the cartilage damage observed post-mortem.