Abstract:Articular osteochondrosis (OC) often develops in typical locations within joints, and the characterization of OC distribution in the pig tarsus is incomplete. Prevalence of OC is high in domestic pigs but is presumed to be low in wild boars. Postmortem and computed tomography (CT) examinations of the talus and distal tibia from 40 domestic pigs and 39 wild boars were evaluated for the locations and frequencies of OC, synovial fossae, and other articular indentations, and frequency distribution maps were made. … Show more
“…In the current study, it was not possible to histologically validate the labelled lesions, but the authors previously validated identical CT lesions in the stifle [ 7 ] and hock joints [ 17 ]. Lesions detected by CT have not been validated in the shoulder or elbow joints previously, but lesions identified in this study appear to correspond to histologically validated shoulder and elbow lesions detected by macroscopic or radiographic evaluation of intact bones and slabs [ 1 , 9 , 18 ].…”
Section: Discussionmentioning
confidence: 99%
“…Most irregularities associated with normal growth are diffuse, gradual and peripheral, but some anatomical features are focal and sharply demarcated [ 17 ], similar to osteochondrosis lesions [ 7 ]. To date, one strategy to limit false-positive diagnosis has been to avoid evaluating central, midline or mid-height defects because this is where normal nutrient foraminae, synovial fossae and intertrochlear indentations tend to be located [ 17 ]. However, cyst-like defects were currently observed at the collum of the talus (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…However, cyst-like defects were currently observed at the collum of the talus (Fig. 4 d), and chondrocyte necrosis was previously detected at the margins of intertrochlear indentations [ 17 ]. Both observations indicate that lesions sometimes occur in the same sites as anatomical features.…”
Background
Osteochondrosis is a major cause of leg weakness in pigs. Selection against osteochondrosis is currently based on manual scoring of computed tomographic (CT) scans for the presence of osteochondrosis manifesta lesions. It would be advantageous if osteochondrosis could be diagnosed automatically, through artificial intelligence methods using machine learning. The aim of this study was to describe a method for labelling articular osteochondrosis lesions in CT scans of four pig joints to guide development of future machine learning algorithms, and to report new observations made during the labelling process. The shoulder, elbow, stifle and hock joints were evaluated in CT scans of 201 pigs.
Results
Six thousand two hundred fifty osteochondrosis manifesta and cyst-like lesions were labelled in 201 pigs representing a total volume of 211,721.83 mm3. The per-joint prevalence of osteochondrosis ranged from 64.7% in the hock to 100% in the stifle joint. The lowest number of lesions was found in the hock joint at 208 lesions, and the highest number of lesions was found in the stifle joint at 4306 lesions. The mean volume per lesion ranged from 26.21 mm3 in the shoulder to 42.06 mm3 in the elbow joint. Pigs with the highest number of lesions had small lesions, whereas pigs with few lesions frequently had large lesions, that have the potential to become clinically significant. In the stifle joint, lesion number had a moderate negative correlation with mean lesion volume at r = − 0.54, p < 0.001.
Conclusions
The described labelling method is an important step towards developing a machine learning algorithm that will enable automated diagnosis of osteochondrosis manifesta and cyst-like lesions. Both lesion number and volume should be considered during breeding selection. The apparent inverse relationship between lesion number and volume warrants further investigation.
“…In the current study, it was not possible to histologically validate the labelled lesions, but the authors previously validated identical CT lesions in the stifle [ 7 ] and hock joints [ 17 ]. Lesions detected by CT have not been validated in the shoulder or elbow joints previously, but lesions identified in this study appear to correspond to histologically validated shoulder and elbow lesions detected by macroscopic or radiographic evaluation of intact bones and slabs [ 1 , 9 , 18 ].…”
Section: Discussionmentioning
confidence: 99%
“…Most irregularities associated with normal growth are diffuse, gradual and peripheral, but some anatomical features are focal and sharply demarcated [ 17 ], similar to osteochondrosis lesions [ 7 ]. To date, one strategy to limit false-positive diagnosis has been to avoid evaluating central, midline or mid-height defects because this is where normal nutrient foraminae, synovial fossae and intertrochlear indentations tend to be located [ 17 ]. However, cyst-like defects were currently observed at the collum of the talus (Fig.…”
Section: Discussionmentioning
confidence: 99%
“…However, cyst-like defects were currently observed at the collum of the talus (Fig. 4 d), and chondrocyte necrosis was previously detected at the margins of intertrochlear indentations [ 17 ]. Both observations indicate that lesions sometimes occur in the same sites as anatomical features.…”
Background
Osteochondrosis is a major cause of leg weakness in pigs. Selection against osteochondrosis is currently based on manual scoring of computed tomographic (CT) scans for the presence of osteochondrosis manifesta lesions. It would be advantageous if osteochondrosis could be diagnosed automatically, through artificial intelligence methods using machine learning. The aim of this study was to describe a method for labelling articular osteochondrosis lesions in CT scans of four pig joints to guide development of future machine learning algorithms, and to report new observations made during the labelling process. The shoulder, elbow, stifle and hock joints were evaluated in CT scans of 201 pigs.
Results
Six thousand two hundred fifty osteochondrosis manifesta and cyst-like lesions were labelled in 201 pigs representing a total volume of 211,721.83 mm3. The per-joint prevalence of osteochondrosis ranged from 64.7% in the hock to 100% in the stifle joint. The lowest number of lesions was found in the hock joint at 208 lesions, and the highest number of lesions was found in the stifle joint at 4306 lesions. The mean volume per lesion ranged from 26.21 mm3 in the shoulder to 42.06 mm3 in the elbow joint. Pigs with the highest number of lesions had small lesions, whereas pigs with few lesions frequently had large lesions, that have the potential to become clinically significant. In the stifle joint, lesion number had a moderate negative correlation with mean lesion volume at r = − 0.54, p < 0.001.
Conclusions
The described labelling method is an important step towards developing a machine learning algorithm that will enable automated diagnosis of osteochondrosis manifesta and cyst-like lesions. Both lesion number and volume should be considered during breeding selection. The apparent inverse relationship between lesion number and volume warrants further investigation.
“…Pigs are commonly affected by OC. In the study of Etterlin et al [21] all fattening pigs ( n = 100) had OC on the talus when examined by computed tomography.…”
Section: Discussionmentioning
confidence: 99%
“…Inflammatory locomotor causes of death were frequent in young sows (parity 0–1). These animals may have been unsuitable for the production environment due to, for instance, osteochondrosis, which is a prevalent condition in young pigs [21]. Pigs affected by any primary orthopaedic condition causing pain and/or clumsiness may have an increased risk for bruising of the skin with introduction of infectious agents, if housed without proper bedding.…”
BackgroundA high rate of euthanized and spontaneously dead sows causes production losses and likely indicates underlying welfare problems. Identification of predisposing factors to on-farm deaths requires a thorough understanding of the causes. Post-mortem examination is needed for a proper diagnosis. The aims of this descriptive study were to determine causes of spontaneous deaths and euthanasia in sows in a convenience sample of Finnish herds and to describe pathological findings in the locomotor system and in teeth and gums.ResultsThis study described post-mortem findings in 65 sows found dead or euthanized on 15 farms. All but one of the sows presented with two or more pathological findings. The majority of primary pathologic-anatomic diagnoses (PAD-1) were inflammatory. The most prevalent diagnoses were arthritis and peritonitis (9% of sows each). The locomotor system was the body part most commonly affected by lesions. Findings in the locomotor system unassociated with death were present in 85% of the animals, additionally 29% of PAD-1 s concerned the locomotor system. The prevalence for both degenerative joint disease and tooth wear was 71%. Farmers had noted clinical signs within 30 days of death in every euthanized sow and in half of the spontaneously dead ones. The farmer’s impression of the cause of death agreed at least partly with the PAD-1 in 44% of the cases.ConclusionMultiple pathologies were the norm in the present animals. This may indicate an extended course of illness and therefore also an unnecessary delay in medical treatment or euthanasia. The prevalence and clinical relevance of the most common disorders, including degenerative joint disease and tooth wear, need to be elucidated.
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