Significant Disease Research Articles

Shiitake mushroom powder supplementation increase antioxidative activity in dogs.

The prevalence of age-related diseases, including obesity (a lipid metabolism disorder), increases with the increase in a dog's lifespan. Most of age-related diseases are associated with oxidative stress by excessive production of reactive oxygen species (ROS) from impaired mitochondrial functions. Safe and effective supplements with antioxidative and anti-inflammatory activities are required to prevent obesity and associated complications. Shiitake mushroom exhibit various functions including antioxidant activity. We investigated the effect of shiitake powder supplementation in healthy dogs. Shiitake powder was supplemented at a dose of 800 mg/kg body weight/day for 4 weeks. The dose was set as 0.60-0.65 mg/kg/day of eritadenine, a hypocholesterolemic factor. The body weight and body condition score of the dogs did not change after shiitake supplementation. In contrast, plasma total cholesterol concentrations decreased and superoxide dismutase activity and leukocyte sirtuin1 mRNA expression increased significantly in the dogs that received the supplement. Oral administration of shiitake powder increased antioxidative activity. The supplement may be useful in ameliorating the signs of age-related diseases, including obesity, in dogs.

Intracellular symbiont Symbiodolus is vertically transmitted and widespread across insect orders.

Insects engage in manifold interactions with bacteria that can shift along the parasitism-mutualism continuum. However, only a small number of bacterial taxa managed to successfully colonize a wide diversity of insects, by evolving mechanisms for host-cell entry, immune evasion, germline tropism, reproductive manipulation, and/or by providing benefits to the host that stabilize the symbiotic association. Here we report on the discovery of an Enterobacterales endosymbiont (Symbiodolus, type species S. clandestinus) that is widespread across at least six insect orders and occurs at high prevalence within host populations. Fluorescence in situ hybridization in several Coleopteran and one Dipteran species revealed Symbiodolus' intracellular presence in all host life stages and across tissues, with a high abundance in female ovaries, indicating transovarial vertical transmission. Symbiont genome sequencing across 16 host taxa revealed a high degree of functional conservation in the eroding and transposon-rich genomes. All sequenced Symbiodolus genomes encode for multiple secretion systems, alongside effectors and toxin-antitoxin systems, which likely facilitate host-cell entry and interactions with the host. However, Symbiodolus-infected insects show no obvious signs of disease, and biosynthetic pathways for several amino acids and cofactors encoded by the bacterial genomes suggest that the symbionts may also be able to provide benefits to the hosts. A lack of host-symbiont cospeciation provides evidence for occasional horizontal transmission, so Symbiodolus' success is likely based on a mixed transmission mode. Our findings uncover a hitherto undescribed and widespread insect endosymbiont that may present valuable opportunities to unravel the molecular underpinnings of symbiosis establishment and maintenance.

Efficiency, Research, and Healthcare Economics: (Vital Threat Detection System) A Systematic Review

Monitoring vital signs and detecting diseases like diabetes and cancer at an early stage are incredibly important for safeguarding patients' lives and ensuring a healthy environment. In this study, we present a comprehensive systematic review focusing on vital monitoring systems in diverse fields. We reviewed 85 articles spanning from 2019 to 2024. From the selected articles, our aim is to explore the frameworks and algorithms of vital signs monitoring, the latest techniques used in remote vital signs monitoring such as radar and smart watch, as well as the measurement of vital signs for heart rate and respiratory diseases. Also, we discuss the threats that may affect healthcare systems and how to secure against these threats. The findings emphasize the critical importance of acquiring continuous vital monitoring systems, which have immense potential for improving healthcare. These systems are crucial for early diagnosis and prediction of conditions that may negatively impact the patient's health. Additionally, it could be beneficial for doctors and healthcare staff by saving time and costs.

Deep learning of Parkinson's movement from video, without human-defined measures

BackgroundThe core clinical sign of Parkinson's disease (PD) is bradykinesia, for which a standard test is finger tapping: the clinician observes a person repetitively tap finger and thumb together. That requires an expert eye, a scarce resource, and even experts show variability and inaccuracy. Existing applications of technology to finger tapping reduce the tapping signal to one-dimensional measures, with researcher-defined features derived from those measures. Objectives(1) To apply a deep learning neural network directly to video of finger tapping, without human-defined measures/features, and determine classification accuracy for idiopathic PD versus controls. (2) To visualise the features learned by the model. Methods152 smartphone videos of 10s finger tapping were collected from 40 people with PD and 37 controls. We down-sampled pixel dimensions and videos were split into 1 s clips. A 3D convolutional neural network was trained on these clips. ResultsFor discriminating PD from controls, our model showed training accuracy 0.91, and test accuracy 0.69, with test precision 0.73, test recall 0.76 and test AUROC 0.76. We also report class activation maps for the five most predictive features. These show the spatial and temporal sections of video upon which the network focuses attention to make a prediction, including an apparent dropping thumb movement distinct for the PD group. ConclusionsA deep learning neural network can be applied directly to standard video of finger tapping, to distinguish PD from controls, without a requirement to extract a one-dimensional signal from the video, or pre-define tapping features.

Hourglass Sign in Liver Hydatid Disease: Significance and Therapeutic Implications.

Hourglass Sign in Liver Hydatid Disease: Significance and Therapeutic Implications.

Alkaline Phosphatase > 2000 U/L in an Infant With Stool Changes: A Case Report.

Transient hyperphosphatasemia (TH) is a benign condition observed among healthy infants and children < 5 years old. It is characterized by an elevation in serum alkaline phosphatase (ALP) in the absence of other signs of organ disease. Prognosis is excellent, and ALP levels stabalize within 4 months. The aim of this case report is to promote broader awareness of TH so further unnecessary workup is avoided. The patient was a 12-month-old girl who presented with pale stools, a single episode of bloody stool, and elevation (incidentally found) in her ALP of 2379 IU/L. A small anal fissure was present, and the remainder of her physical examination was typical. The differential diagnosis included biliary atresia, liver disease, bone disease, and TH. Further testing was typical and included complete blood count (CBC, consisting of hemoglobin, hematocrit, white blood cell count, and platelet count), comprehensive metabolic panel (CMP, consisting of glucose, creatinine, BUN, electrolytes, and liver function markers), calcium, phosphate, parathyroid hormone, gamma-glutamyl transferase, and 25-hydroxy vitamin D. Liver ultrasound was also typical without evidence of biliary atresia. The diagnosis of TH was made. The patient was monitored clinically. Repeat blood work was completed 2 months later, with ALP levels returning to the typical range. Overall, TH is a benign self-limiting condition that can be managed by observation and serial measurement of ALP without further unnecessary investigations.

The “String of Pearls” Sign of Chronic Bullous Disease of Childhood (CBDC)

The “String of Pearls” Sign of Chronic Bullous Disease of Childhood (CBDC)

INTEGRATING MACHINE LEARNING AND BIG DATA ANALYTICS FOR REAL-TIME DISEASE DETECTION IN SMART HEALTHCARE SYSTEMS

The integration of machine learning (ML) and big data analytics within smart healthcare systems represents a transformative advancement in medical services, emphasizing efficiency, accuracy, and patient-centered care. This paper investigates the application of these advanced technologies in real-time disease detection, showcasing their potential to revolutionize healthcare delivery. Smart healthcare systems leverage a multitude of technological components, including Internet of Things (IoT) devices, sensors, and artificial intelligence (AI), to enable continuous monitoring and diagnostics. This real-time monitoring facilitates prompt interventions and treatment adjustments, which is particularly advantageous for managing chronic conditions and acute illnesses where timely responses are critical to improving patient outcomes. Despite the evident benefits, traditional healthcare infrastructures face significant challenges such as delays in diagnosis due to manual processes, inefficient data handling resulting in data silos, and limited interoperability between different healthcare providers, leading to worsened health outcomes and increased healthcare costs. The integration of ML and big data analytics offers promising solutions to these challenges. ML algorithms can process vast amounts of healthcare data to identify patterns and predict outcomes with high accuracy, such as recognizing early signs of diseases like cancer or diabetes from medical images or electronic health records (EHRs). Big data analytics complements ML by providing the necessary infrastructure to handle and process large volumes of health data, enabling the collection, storage, and analysis of structured data from EHRs, unstructured data from clinical notes, and real-time data from wearable devices. By integrating these technologies, healthcare providers can gain deeper insights into patient health trends and outcomes, leading to more informed decision-making and better patient management. This study employs a qualitative research design, focusing on five genuine case studies: the Mayo Clinic's predictive analytics for heart disease, Cleveland Clinic's use of ML for cancer diagnosis, Kaiser Permanente's diabetes management program, Johns Hopkins Hospital's sepsis detection system, and Mount Sinai Health System's genomic data analysis. Each case study is chosen for its relevance and comprehensive data, detailing the specific healthcare environment and context. This paper interprets these findings in the broader context of smart healthcare systems and existing literature, emphasizing the importance of these technologies in modernizing healthcare and addressing inefficiencies. The challenges encountered during integration, such as data privacy concerns and interoperability issues, are examined along with implemented solutions.

Bony reconstruction after internal hemipelvectomy: A retrospective analysis of 44 patients undergoing femoro-pelvic pseudoarthrosis.

e23509 Background: After acetabular resection for sarcomas, achieving a bony femoro-pelvic fusion is very difficult, and prosthetic reconstructions have very high complication rates. We reconstructed the defects with a simple polypropylene mesh between the femoral head and the remaining part of the pelvis thereby aiming at a pseudo-arthrosis and analyzed its functional outcome. Methods: Between 2013 and 2022, 44 patients having bone tumors of the pelvis underwent acetabular resections and femoro-pelvic pseudoarthrosis. Commonest Histology was chondrosarcoma (23). According to Enneking’s classification, type II (3), type I+II (9) , type II+III (24), type I+II+IV (5), and type I+II+III (3) resections were carried out. A 30 x 30 cm polypropylene mesh was tied to the remains of the capsule around the head and was then turned on itself to make a strong braided rope-like structure. It was passed through the remaining ilium/ ischium/ sacrum and was tied to itself in proper rotation with heavy ethibond suture. In 4 cases, a proximal femur megaprosthesis and in 2, a nail cement spacer was implanted in femur to reduce shortening. Functional limb results were reported according to MSTS functional scores. Results: 37/44 patients attained independent ambulation. The mean time to full weight bearing was 4.7 months (3-9 months). There were 6 flap necrosis, 3 infections, 1 nerve injury, and 1 vascular injury. Local recurrence occurred in 6 (13%) and Systemic metastasis developed in 20 patients (47% of malignant tumors). At an average follow-up of 56 months ( 24 – 127 months), 26 are alive without any signs of disease. The average MSTS score was 22 (range 13–27). The best MSTS scores were with type II or II+III IH where ilium was left to support the femur while the worst was with type I+II+III resection patients. Patients with higher BMI have poorer functional outcomes with meshplasty. Conclusions: Mesh-pseudoarthrosis is a very simple reconstruction option that has an excellent functional outcome. It reduces surgical time and eliminates uncertainties about fusion/joint replacement. This should be strongly recommended as a method of reconstruction for patients undergoing acetabular resections.

RESEARCH OF MANIFESTATION OF THE ORAL MUCOSA IN COVID-19

The oral cavity is one of the main gates for coronavirus (SARS-CoV-2); the oral cavity also suffers greatly from this infection, because it is one of the most vulnerable places. In addition, since the salivary glands can serve as a reservoir for viruses and support their release into the external environment, it was concluded that saliva, as a component of oral fluid, can play an important role in the spread of coronavirus infection. This is mainly due to the ACE-2 receptor, which have a high level of expression in the keratinized surface epithelial cells of the oral mucosa, especially in the epithelial cells of the dorsal part of the tongue, tonsils, vocal cords, salivary glands and sinuses, due to which the virus replicates in and causes both oral lesions and oral symptoms mouth After entering the cell, the virus delays the response of the immune system, allowing the infection to progress, and it becomes much more difficult to fight it. Accordingly, due to the relatively high level of COVID-19-associated complications, timely diagnosis of clinical forms, including high-risk patients with prognosis their clinical course and the selection of drug treatment appropriate to the severity of the clinical course remain quite complex and controversial issues. It was emphasized that in some cases oral symptoms may be the initial or only sign of disease, and dentists should take this into account when performing a thorough clinical examination of the oral cavity.

The gut, a whistleblower, in the early stages of Parkinson's disease

The enteric nervous system (ENS), often called the "second brain", plays a crucial role in regulating digestive functions. Dysfunctions of the ENS are associated with several diseases such as Parkinson's disease. Recent studies suggest that early digestive disorders, notably chronic constipation, may be early signs of this neurodegenerative disease. Three-dimensional imaging of the ENS offers new insights into early diagnosis, in particular through the analysis of intestinal biopsies. This new research axis raises questions about the intestinal cause of Parkinson's disease, and opens the door to a better understanding and earlier treatment of this disease.

Link between persistent, unexplained gammaGT elevation and Porto-Sinusoidal Vascular Disorder

BACKGROUND AND AIMPorto-sinusoidal vascular disorder (PSVD) is a group of vascular disorders characterized by lesions involving portal venules and sinusoids, irrespective of the presence of portal hypertension (PH). Liver biopsy (LB) is essential for diagnosis. In a single-center study, we demonstrated high rates of PSVD in patients with persistently elevated gamma-glutamyl transferase (GGT). This multicenter study aims to establish PSVD prevalence in a larger dataset of individuals with persistent and unexplained GGT elevation, and to identify associated risk factors. METHODSThe study included all patients who underwent LB for persistent and unexplained GGT elevation in five Italian Hepatology Units between March 2015 and December 2021. RESULTS144 patients met the inclusion criteria. The majority were males (76/144, 52.8%) and mean age was 51.9 years (range 19-74). Only twelve (8.3%) had liver stiffness measurements (LSM) >10 kPa, 7 (4.8%) had ultrasound PH evidence. Histological findings were consistent with PSVD in 96 patients (67%). Alternative diagnoses were steatohepatitis in 13 (9%), sarcoidosis in 3 (2%) and congenital hepatic fibrosis in 3 (2%). Histological findings were non-specific in 29 (20%) patients. PSVD was associated with male sex (odds ratio, OR = 2.60, 95% confidence interval, CI: 1.13-5.99), LSM < 10 kPa (OR = 11.05, 95% CI: 2.16-56.66) and GGT < 200 U/L (OR = 2.69, 95% CI: 1.22-5.98). CONCLUSIONSPSVD was the main cause of persistent and unexplained elevation of GGT. Male sex, LSM < 10kPa and GGT < 200U/l were associated with PSVD. These findings highlight the role of LB in elucidating the underlying pathology and aiding in the diagnosis of patients with persistent and unexplained GGT elevation. IMPACT AND IMPLICATIONSIn outpatient settings, it is common to encounter subjects with persistent and unexplained GGT elevation. This study reveals, for the first time, a non-negligible prevalence of porto-sinusoidal vascular disorder (PSVD) among these subjects when they undergo liver biopsy. Male sex, liver stiffness measurement (LSM) < 10 kPa, and GGT < 200 IU/L predict this histological finding.These results may raise awareness of clinically relevant conditions that may be present in patients with persistent liver enzyme changes, even in the absence of signs of advanced chronic liver disease or portal hypertension (PH). Additionally, the data may encourage further studies in the field of PSVD, particularly to define its clinical evolution in patients without signs of PH at diagnosis.

Incidence of tuberculous infection in a TB-endemic city.

<sec id="st1"><title>BACKGROUND</title>Current metrics for TB transmission include TB notifications, disease mortality, and prevalence surveys. These metrics are helpful to national TB programs to assess the burden of disease, but they do not directly measure incident infection in the community.</sec><sec id="st2"><title>METHODS</title>To estimate incidence of Mycobacterium tuberculosis infection in Kampala, Uganda, we performed a prospective cohort study between 2014 and 2017 which enrolled of 1,275 adult residents without signs of tuberculous infection (tuberculin skin test [TST] <5 mm and no signs of TB disease) and followed them for conversion of TST at 1 year.</sec><sec id="st3"><title>RESULTS</title>During follow-up, 194 participants converted the TST and 158 converted by one year. The incidence density of TST conversion was 13.2 conversions/100 person-year (95% CI 11.6-15.1), which corresponds to an annual cumulative incidence of tuberculous infection of 12.4% (95% CI 10.7-14.3). Cumulative incidence was greater among older participants and among men. Among participants who reported prior exposure to TB cases, the cumulative risk was highest among those reporting exposure during follow-up.</sec><sec id="st4"><title>CONCLUSIONS</title>The high annual incidence of infection suggests that residents of Kampala have adequate contact for infection with undetected, infectious cases of TB as they go about their daily lives.</sec>.

A Postmortem Finding of a Colloid Goiter in an American Black Bear (Ursus Americanus)

Abstract The present case report aims to describe a postmortem finding of a colloid goiter, without obvious clinical signs of endocrine disease in a 30-year-old American black bear (Ursus americanus) from the “Zoo” in the city of Sofia, Bulgaria. A clinical examination due to a bad general condition was performed under anesthesia and a computed tomography was conducted. After the established irreversible spondylarthrosis changes the bear was euthanized. Postmortem, the thyroid gland was pathologically examined and typical findings for a colloid goiter were observed. Hibernating mammals such as the American black bear have been shown to enter a state of physiological hypothyroidism during hibernation. Hormonal signals from the thyroid gland have been suggested to be a key mediator of hibernation. From the presented case could be assumed that the captive life conditions and the prolonged life of the zoo bears may affect the function of their thyroid gland.

Prediction of Parkinson’s Disease using Handwriting Analysis and Voice Dataset- A Review

Parkinson's disease is a common neurological movement illness that impairs motor coordination. Parkinson’s disease (PD) symptoms and severity, however, differ from person to person. By extracting insights, trends, and possibilities from the data, data research can be utilized to uncover solutions to problems in medical research by utilizing data, machine learning algorithms, and cutting-edge technology. Among the less evident early signs of Parkinson's disease are tremors, muscle stiffness, imbalance problems, and difficulty walking. There is currently no test to detect the illness early on, when symptoms might not be evident. However, handwriting and hand- drawn subjects in humans have been linked to PD. In addition to being a useful tool for PD prediction, speech smearing functions as an early warning system. In order to control symptoms and maybe halt the disease's progression, early detection makes it possible to organize treatments and intervene promptly. For those with Parkinson's disease, early application of certain therapies and medications can extend survival and enhance quality of life.

Fragmentation in Bowman Layer: An In Vivo Confocal Microscopy Study

Purpose: The aim of this study was to study the in vivo ultrastructure of Bowman layer with confocal microscopy in keratoconus patients with a spectrum of disease severity. Methods: Fifteen eyes of 12 patients with keratoconus were enrolled in this study. Patients were stratified into 2 severity groups (mild to moderate and advanced) based on maximum keratometry, posterior radius of curvature, and thinnest pachymetry obtained with anterior segment tomography. All study subjects underwent in vivo confocal microscopy (Heidelberg Retina Tomograph III Rostock Cornea Module, Heidelberg Engineering GmbH, Heidelberg, Germany) of the cornea. Results: Seven eyes were classified as having mild-to-moderate keratoconus (mean age 29.14 ± 8.32 years) and 8 eyes were advanced (mean age 31.00 ± 8.62 years). In vivo confocal microscopy showed intact Bowman layer in all eyes with mild-to-moderate keratoconus. Fragmentations in Bowman layer were seen in 20% of eyes (3 eyes) with advanced keratoconus. Conclusions: We did not document ruptures in Bowman layer in mild-to-moderate keratoconus suggesting that Bowman layer fragmentation is a late manifestation of keratoconus and not a sign of early ectatic disease as historically reported.

Early Screening for Long QT Syndrome and Cardiac Anomalies in Infants: A Comprehensive Study.

(1) Background: Sudden Infant Death Syndrome (SIDS) represents sudden and unexplained deaths during the sleep of infants under one year of age, despite thorough investigation. Screening for a prolonged QTc interval, a marker for Long QT Syndrome (LQTS), should be conducted on all newborns to reduce the incidence of SIDS. Neonatal electrocardiograms (ECGs) could identify congenital heart defects (CHDs) early, especially those not detected at birth. Infants with prolonged QTc intervals typically undergo genetic analysis for Long QT Syndrome. (2) Methods: The study involved infants aged 20-40 days, born with no apparent clinical signs of heart disease, with initial ECG screening. Infants with prenatal diagnoses or signs/symptoms of CHDs identified immediately after birth, as well as infants who had previously had an ECG or echocardiogram for other medical reasons, were excluded from the study. We used statistical software (SPSS version 22.0) to analyze the data. (3) Results: Of the 42,200 infants involved, 2245 were enrolled, with 39.9% being males. Following this initial screening, 164 children (37.8% males) with prolonged QTc intervals underwent further evaluation. Out of these 164 children, 27 children were confirmed to have LQTS. However, only 18 children were finally investigated for genetic mutations, and mutations were identified in 11 tests. The most common mutations were LQT1 (54.5%), LQT2 (36.4%), and LQT3 (1 patient). Treatment options included propranolol (39.8%), nadolol (22.2%), inderal (11.1%), metoprolol (11.1%), and no treatment (16.7%). The most common abnormalities were focal right bundle branch block (54.5%), left axis deviation (9.2%), and nonspecific ventricular repolarization abnormalities (7.1%). Multiple anomalies were found in 0.47% of children with focal right bundle branch block. Structural abnormalities were associated with specific features in 267 patients (11.9%), primarily isolated patent foramen ovale (PFO) at 61.4%. (4) Conclusions: This screening approach has demonstrated effectiveness in the early identification of LQTS and other cardiac rhythm anomalies, with additional identification of mutations and/or prolonged QTc intervals in family members. Identifying other ECG abnormalities and congenital heart malformations further enhances the benefits of the screening.

Computer-Assisted Histopathological Calculation Analysis of the Sciatic Nerve of Diabetic Neuropathy Rat Model

Histopathology is the science that studies the signs of disease by studying the structural and functional changes that occur in cells using certain types of dyes such as hematoxylin and eosin (H&amp;E). Traditionally histopathological testing is carried out using semi-quantitative methods. A more advanced method is done by taking photos digitally, and then digital photos are quantified with the help of software such as ImageJ using plug-in tools. Recent advances in digital pathology require the development of more efficient computerized image analysis such as the Gaussian adaptive threshold method. This research aims to compare the calculation results of computer-assisted digitalization of histopathology using the ImageJ plugin manual method with automatic calculations using Gaussian adaptive threshold to quantify the amount of sciatic nerve cell damage in the Diabetic peripheral neuropathy (DPN) rat model. In this study, two image analysis methods were used to test their ability to measure the amount of cell damage in the sciatic nerve of normal rats using a model of diabetic neuropathy. The first method uses the ImageJ plugin manual. The second method is the Gaussian adaptive threshold method. The ImageJ plugin manual method obtained a cell abnormality value of 213 cells. Meanwhile, with the Gaussian adaptive threshold method, a value of 204 cells was obtained. The calculation results of the two methods show an insignificant difference between the methods p &gt;0.05. This study presents a computerized morphometric image analysis method with the potential for pathology digitalization applications.

Computer-Assisted Histopathological Calculation Analysis of the Sciatic Nerve of Diabetic Neuropathy Rat Model

Histopathology is the science that studies the signs of disease by studying the structural and functional changes that occur in cells using certain types of dyes such as hematoxylin and eosin (H&amp;E). Traditionally histopathological testing is carried out using semi-quantitative methods. A more advanced method is done by taking photos digitally, and then digital photos are quantified with the help of software such as ImageJ using plug-in tools. Recent advances in digital pathology require the development of more efficient computerized image analysis such as the Gaussian adaptive threshold method. This research aims to compare the calculation results of computer-assisted digitalization of histopathology using the ImageJ plugin manual method with automatic calculations using Gaussian adaptive threshold to quantify the amount of sciatic nerve cell damage in the Diabetic peripheral neuropathy (DPN) rat model. In this study, two image analysis methods were used to test their ability to measure the amount of cell damage in the sciatic nerve of normal rats using a model of diabetic neuropathy. The first method uses the ImageJ plugin manual. The second method is the Gaussian adaptive threshold method. The ImageJ plugin manual method obtained a cell abnormality value of 213 cells. Meanwhile, with the Gaussian adaptive threshold method, a value of 204 cells was obtained. The calculation results of the two methods show an insignificant difference between the methods p &gt;0.05. This study presents a computerized morphometric image analysis method with the potential for pathology digitalization applications.

The difference in radiographic findings in the distal limbs of working Lipizzan horses, used for dressage or driving.

Lameness originating from the distal limb is common in sport horses and can vary depending on the dynamics of movement and the surface, with differences in shoeing exacerbating this variability. Driving horses work primarily on hard surfaces (pavement), whereas dressage horses work primarily on soft surfaces (riding arenas with sand). Driving horses are traditionally shod with small fixed studs made of hard metal, which are attached to the horseshoe at 4 points, while dressage horses are shod with a simple horseshoe. We investigated the hypothesis that there is a difference in the pathological radiographic findings of the distal limbs between driving and dressage horses. The variability in the stable management and training program was minimized by including horses from the same farm. Twenty horses in a driving training program and 20 horses in a dressage program were included in the study. Radiographs of the both front feet were obtained and quantitatively evaluated for radiographic changes by three surgery/diagnostic imaging specialists. Interrater reliability was measured, and multivariate analysis was performed to compare differences in pathological radiographic findings of the distal limbs between the two groups. Kendal's concordance coefficient indicated an agreement among raters (Kw ≠ 0) for all observations. Radiographic signs of degenerative joint disease of the distal interphalangeal joint were more common in the group of driving horses compared to dressage horses. Our hypothesis was confirmed, as there were significant pathological differences between groups in distal articular margin of middle phalanx, joint space narrowing, and irregular joint surface of the middle phalanx.