Lumbar round cell sarcoma in a 10-week-old rottweiler puppy.

Background: Spinal neoplasms are sparsely documented in juvenile dogs. Case reports and small case series have described nephroblastomas, primitive neuroectodermal tumours, gliomas, certain sarcomas, and osteochondromas, but round cell sarcomas have not previously been documented.

Case Presentation: This case report describes a 10-week-old female Rottweiler puppy with acute onset of progressive ataxia and pelvic limb lameness.

Is Self-Report of Attachment Patterns in Young People Stable From Three to Nine Months After a Concussion?

Insecure adult attachment patterns have recently been associated with an increased risk of developing persistent post-concussion symptoms (PCS) and poorer treatment outcomes, highlighting the potential of attachment-informed treatment protocols for persistent PCS. A key requirement for such approaches is that attachment patterns remain relatively stable during the post-injury illness course, allowing them to serve as reliable indicators for guiding initial care and treatment planning. This study aimed to assess the stability of self-reported attachment anxiety and attachment avoidance in individuals aged 15-30 years, from three (T1) to nine (T2) months after a concussion, corresponding to the period when treatment for PCS typically becomes relevant.

Students' descriptions about experiences beneficial to mental health - a thematic analysis.

University years are an important transitional time for young adults. Recently, an increasing number of students have reported mental health problems. The increasing numbers are an international phenomenon.

Effects of stimulus polarity on the local evoked potential in auditory brainstem implant users.

Auditory brainstem implants (ABI) can enable hearing sensation through electrical stimulation of the cochlear nucleus. The basic stimulation and signal coding strategies of the ABI are based on those of the cochlear implant. This may not always be optimal, and ABI-specific strategies may be preferred.

A Norwegian adaptation of the quality in psychiatric care - inpatient staff (QPC-IPS): psychometric evaluation and staff assessment of quality of care.

Background: The restructuring and decentralization of psychiatric services in Norway, aligning with global trends, has sparked debate on quality assurance. This study aimed to evaluate the psychometric properties of the Norwegian version of the Quality in Psychiatric Care - Inpatient Staff (QPC-IPS). Additionally, it sought to investigate the sociodemographic and work-related factors associated with staff perceptions of the quality of inpatient psychiatric care that they provide.

DenseSeg: joint learning for semantic segmentation and landmark detection using dense image-to-shape representation.

Purpose: Semantic segmentation and landmark detection are fundamental tasks of medical image processing, facilitating further analysis of anatomical objects. Although deep learning-based pixel-wise classification has set a new-state-of-the-art for segmentation, it falls short in landmark detection, a strength of shape-based approaches.

Methods: In this work, we propose a dense image-to-shape representation that enables the joint learning of landmarks and semantic segmentation by employing a fully convolutional architecture.

Prevalence of orofacial and head pain: an umbrella review of systematic reviews.

Head pain (HP) and orofacial pain (OFP) are the most prevalent types of pain worldwide, encompassing cranial, oral and facial pain. The aim of this umbrella review was to answer the following questions: "What is the overall prevalence of HP/OFP and the different prevalences of HP/OFP conditions in adults and children?". We searched for studies investigating the prevalence of HP/OFP in four major databases and two databases from the grey literature, based on the following PECOS inclusion criteria: (P)opulation: Adults and children; (E)xposure: Orofacial or head pain conditions such as (1) dental, periodontal and gingival, (2) temporomandibular disorders (TMD), (3) neuropathic conditions, (4) headaches, and (5) idiopathic pain conditions; (C)omparison: None; (O)utcome: Prevalence; (S)tudies: Systematic reviews and/or meta-analyses.

Norwegian adaptation of the Quality in Psychiatric Care - In-Patient instrument: psychometric properties and factor structure.

Background: Validated instruments measuring the quality of mental healthcare from patients' perspectives are scarce, and available instruments have been requested. One of the few instruments measuring the quality of care from a patient's perspective is the Swedish Quality in Psychiatric Care-In-Patient (QPC-IP). This cross-sectional study aimed to translate and adapt the QPC-IP instrument for a Norwegian context and assess its psychometric properties.

The Spanish Adaptation of the Quality in Psychiatric Care-Forensic Inpatient (QPC-FIP) Instrument: Psychometric Properties.

: The quality of care in forensic mental health services is a factor that significantly impacts recovery and constitutes a right of the individuals receiving treatment. However, there is a lack of instruments to assess the perceived quality of care among individuals in this setting. Quality in Psychiatric Care-Forensic Inpatient (QPC-FIP) is a Swedish instrument that measures the perception of quality care from the perspectives of patients in the forensic setting.

Creating a Foundation for the Visualization of Intracranial Cerebrospinal Fluid Using Photon-Counting Technology in Spectral Imaging for Cranial CT.

Background: Recent advancements in computed tomography (CT), notably in photon-counting CT (PCCT), are revolutionizing the medical imaging field. PCCT's spectral imaging can better visualize tissues based on their material properties. This research aims to establish a fundamental approach for the in vivo visualization of intracranial cerebrospinal fluid (CSF) using PCCT.

Artificial intelligence model for predicting sexual dimorphism through the hyoid bone in adult patients.

The objective of this study was to develop a predictive model using supervised machine learning to determine sex based on the dimensions of the hyoid bone. Lateral cephalometric radiographs of 495 patients were analyzed, collecting the horizontal and vertical dimensions of the hyoid bone, as well as the distance from the hyoid to the mandible. The following algorithms were trained: Logistic Regression, Gradient Boosting Classifier, K-Nearest Neighbors (KNN), Support Vector Machine (SVM), Multilayer Perceptron Classifier (MLP), Decision Tree, AdaBoost Classifier, and Random Forest Classifier.

Sex prediction through machine learning utilizing mandibular condyles, coronoid processes, and sigmoid notches features.

Characteristics of the mandible structures have been relevant in anthropological and forensic studies for sex prediction. This study aims to evaluate the coronoid process, condyle, and sigmoid notch patterns in sex prediction through supervised machine learning algorithms. Cephalometric radiographs from 410 dental records of patients were screened to investigate the morphology of the coronoid process, condyle, and sigmoid notch and the Co-Gn distance.

A novel piglet model of esophageal stricture following variable segmental esophageal resection and re-anastomosis.

Background: Esophageal strictures following esophageal atresia repair are a source of significant morbidity. To test new therapeutic approaches, we designed a piglet model of esophageal stricture by resecting variable lengths of esophagus with subsequent re-anastomosis. This study describes the model and validates its physiologic impact by blinded analysis of the weight gains of the piglets.

German radiation oncology's next generation: a web-based survey of young biologists, medical physicists, and physicians-from problems to solutions.

Background: Radiation science is of utmost significance not only due to its growing importance for clinical use, but also in everyday life such as in radiation protection questions. The expected increase in cancer incidence due to an aging population combined with technical advancements further implicates this importance and results in a higher need for sufficient highly educated and motivated personnel. Thus, factors preventing young scientists and medical personnel from entering or remaining in the field need to be identified.

Quantification of Mitral Valve Regurgitation in Cavalier King Charles Spaniels and Chihuahuas Using Radius of Proximal Isovelocity Surface Area.

Mitral regurgitation (MR) resulting from myxomatous mitral valve disease (MMVD) is a prevalent condition in dogs, particularly smaller breeds like Cavalier King Charles Spaniels (CKCSs) and Chihuahuas (CHHs). An accurate assessment of MR severity is essential for effective treatment and disease monitoring, yet a standardized method has yet to be established. In this retrospective study, we evaluated 124 client-owned dogs diagnosed with MMVD, including 64 CKCSs and 60 CHHs.

Significantly less wear of UHMWPE rubbing against pyrocarbon than against CoCr.

The history of joint replacement can be framed as a battle to reduce wear. Pyrocarbon has been shown to be a low wear material, but can low wear against an ultra high molecular weight polyethylene (UHMWPE) counterface be achieved? To investigate this research question, a 50-station, clinically validated wear screening machine was used. Half the stations tested UHMWPE pins against pyrocarbon discs, and half the stations tested UHMWPE pins against cobalt chromium (CoCr) discs.

Predicting the Risk of Maxillary Canine Impaction Based on Maxillary Measurements Using Supervised Machine Learning.

Objectives: To predict palatally impacted maxillary canines based on maxilla measurements through supervised machine learning techniques.

Materials And Methods: The maxilla images from 138 patients were analysed to investigate intermolar width, interpremolar width, interpterygoid width, maxillary length, maxillary width, nasal cavity width and nostril width, obtained through cone beam computed tomography scans. The predictive models were built using the following machine learning algorithms: Adaboost Classifier, Decision Tree, Gradient Boosting Classifier, K-Nearest Neighbours (KNN), Logistic Regression, Multilayer Perceptron Classifier (MLP), Random Forest Classifier and Support Vector Machine (SVM).

Patients' perception of the quality of psychiatric inpatient care in the Faroe Islands.

Purpose: Evaluating the quality of psychiatric care from the patient's perspective is crucial to measure the effectiveness of the provided care. This study aimed to translate the original Swedish Quality in Psychiatric Care - Inpatient (QPC-IP) instrument into Faroese, adapting it to the specific context of psychiatric inpatient care in the Faroe Islands, conducting a detailed evaluation of its psychometric properties, and to describe patients' perception of quality of psychiatric care.

Materials And Methods: Following a thorough translation and back-translation, the content validity of the Faroese QPC-IP was confirmed by a group of Faroese patients.

Sex determination through maxillary dental arch and skeletal base measurements using machine learning.

Background: Cranial, facial, nasal, and maxillary widths have been shown to be significantly affected by the individual's sex. The present study aims to use measurements of dental arch and maxillary skeletal base to determine sex, employing supervised machine learning.

Materials And Methods: Maxillary and mandibular tomographic examinations from 100 patients were analyzed to investigate the inter-premolar width, inter-molar width, maxillary width, inter-pterygoid width, nasal cavity width, nostril width, and maxillary length, obtained through Cone Beam Computed Tomography scans.

Altered Physiological, Affective, and Functional Connectivity Responses to Acute Stress in Patients With Alcohol Use Disorder.

Background: There is evidence that the processing of acute stress is altered in alcohol use disorder (AUD), but little is known about how this is manifested simultaneously across different stress parameters and which neural processes are involved. The current study examined physiological and affective responses to stress and functional connectivity in AUD.

Methods: Salivary cortisol samples, pulse rate, and affect ratings were collected on 2 days from 34 individuals with moderate or severe AUD during early abstinence and 34 control participants.

Validation of reliable reference genes for qPCR of CD4+ T cells exposed to compressive strain.

For accurate interpretation of quantitative real-time PCR (qPCR) data, stable reference genes are essential for normalization of target genes. To date, there is no information on reliable housekeeping genes in CD4+ T cells in a three-dimensional (3D) matrix under pressure stimulation. This in vitro study describes for the first time a method for pressure stimulation of CD4+ T cells in a 3D matrix in the context of orthodontic tooth movement (OTM) and identifies a set of reliable reference genes.