Discrepancies between Radiology Specialists and Residents in Fracture Detection from Musculoskeletal Radiographs

(1) Background: The aim of this study was to compare the competence in appendicular trauma radiograph image interpretation between radiology specialists and residents. (2) Methods: In this multicenter retrospective cohort study, we collected radiology reports from radiology specialists (N = 506) and residents (N = 500) during 2018–2021. As a reference standard, we used the consensus of two subspecialty-level musculoskeletal (MSK) radiologists, who reviewed all original reports. (3) Results: A total of 1006 radiograph reports were reviewed by the two subspecialty-level MSK radiologists. Out of the 1006 radiographs, 41% were abnormal. In total, 67 radiographic findings were missed (6.7%) and 31 findings were overcalled (3.1%) in the original reports. Sensitivity, specificity, positive predictive value, and negative predictive value were 0.86, 0.92, 0.91 and 0.88 respectively. There were no statistically significant differences between radiology specialists’ and residents’ competence in interpretation (p = 0.44). However, radiology specialists reported more subtle cases than residents did (p = 0.04). There were no statistically significant differences between errors made in the morning, evening, or night shifts (p = 0.57). (4) Conclusions: This study found a lack of major discrepancies between radiology specialists and residents in radiograph interpretation, although there were differences between MSK regions and in subtle or obvious radiographic findings. In addition, missed findings found in this study often affected patient treatment. Finally, there are MSK regions where the sensitivity or specificity is below 90%, and these should raise concerns and highlight the need for double reading and should be taken into consideration in radiology education.Peer reviewe

Putative Nanobacteria Represent Physiological Remnants and Culture By-Products of Normal Calcium Homeostasis

Putative living entities called nanobacteria (NB) are unusual for their small sizes (50–500 nm), pleomorphic nature, and accumulation of hydroxyapatite (HAP), and have been implicated in numerous diseases involving extraskeletal calcification. By adding precipitating ions to cell culture medium containing serum, mineral nanoparticles are generated that are morphologically and chemically identical to the so-called NB. These nanoparticles are shown here to be formed of amorphous mineral complexes containing calcium as well as other ions like carbonate, which then rapidly acquire phosphate, forming HAP. The main constituent proteins of serum-derived NB are albumin, fetuin-A, and apolipoprotein A1, but their involvement appears circumstantial since so-called NB from different body fluids harbor other proteins. Accordingly, by passage through various culture media, the protein composition of these particles can be modulated. Immunoblotting experiments reveal that antibodies deemed specific for NB react in fact with either albumin, fetuin-A, or both, indicating that previous studies using these reagents may have detected these serum proteins from the same as well as different species, with human tissue nanoparticles presumably absorbing bovine serum antigens from the culture medium. Both fetal bovine serum and human serum, used earlier by other investigators as sources of NB, paradoxically inhibit the formation of these entities, and this inhibition is trypsin-sensitive, indicating a role for proteins in this inhibitory process. Fetuin-A, and to a lesser degree albumin, inhibit nanoparticle formation, an inhibition that is overcome with time, ending with formation of the so-called NB. Together, these data demonstrate that NB are most likely formed by calcium or apatite crystallization inhibitors that are somehow overwhelmed by excess calcium or calcium phosphate found in culture medium or in body fluids, thereby becoming seeds for calcification. The structures described earlier as NB may thus represent remnants and by-products of physiological mechanisms used for calcium homeostasis, a concept which explains the vast body of NB literature as well as explains the true origin of NB as lifeless protein-mineralo entities with questionable role in pathogenesis

A candidate probiotic with unfavourable effects in subjects with irritable bowel syndrome: a randomised controlled trial

<p>Abstract</p> <p>Background</p> <p>Some probiotics have shown efficacy for patients with irritable bowel syndrome (IBS). <it>Lactobacillus (L.) plantarum </it>MF1298 was found to have the best <it>in vitro </it>probiotic properties of 22 strains of lactobacilli. The aim of this study was to investigate the symptomatic effect of <it>L. plantarum </it>MF1298 in subjects with IBS. Primary outcome was treatment preference and secondary outcomes were number of weeks with satisfactory relief of symptoms and IBS sum score.</p> <p>Methods</p> <p>The design was a randomised double blind placebo-controlled crossover trial. 16 subjects with IBS underwent two three-week periods of daily intake of one capsule of 10¹⁰CFU <it>L. plantarum </it>MF 1298 or placebo separated by a four-week washout period.</p> <p>Results</p> <p>Thirteen participants (81%; 95% CI 57% to 93%; <it>P </it>= 0.012) preferred placebo to <it>L. plantarum </it>MF1298 treatment. The mean (SD) number of weeks with satisfactory relief of symptoms in the periods with <it>L. plantarum </it>MF1298 and placebo were 0.50 (0.89) and 1.44 (1.26), respectively (<it>P </it>= 0.006). IBS sum score was 6.44 (1.81) in the period with <it>L. plantarum </it>MF1298 treatment compared with 5.35 (1.77) in the period with placebo (<it>P </it>= 0.010). With a clinically significant difference in the IBS sum score of 2 in disfavour of active treatment, the number needed to harm was 3.7, 95% CI 2.3 to 10.9.</p> <p>Conclusions</p> <p>This trial shows for the first time an unfavourable effect on symptoms in subjects with IBS after intake of a potential probiotic.</p> <p>The trial registration number</p> <p>Clinical trials NCT00355810.</p

Uso de morteros catalíticos sobre paneles, para el análisis de la reducción de partículas contaminantes en el aire

Trabajo de Investigación TecnológicaEste proyecto de grado se enfoca en la contaminación del aire y el uso de las nuevas tecnologías en la construcción para combatir este problema que genera afectaciones no solo ambientales, sino en la salud humana, en la flora y la fauna. La nanotecnología, es una rama que se desprende de las nuevas tecnologías y que se ha abierto paso en la industria de la construcción, por medio de la implementación de materiales y aditivos te tamaño nanométrico que mejoran y generan nuevas propiedades en los materiales comunes de construcción como el acero, concretos, morteros, pinturas, etc. En este proyecto se elaboró un concreto y mortero adicionando el Dióxido de titanio (TiO2), el cual actúa como un catalizador al combinarse con el cemento y los rayos ultra violeta, y su función principal es oxidar las partículas contaminantes suspendidas en el aire, por lo cual se categoriza como un descontaminante. Adicionalmente, el TiO2 puede mejorar las propiedades del concreto. Para comprobar el efecto del TiO2 en el concreto, se elaboraron cuatro cilindros de concreto común y de concreto adicionado, los cuales se fallaron en las edades típicas de falla y se compararon los resultados obtenidos. De igual manera, se fabricó un mortero adicionado, el cual se colocó sobre paneles y se dejó expuesto ocho días en un área de monitoreo de aire, y con los datos obtenidos se realizó el análisis correspondiente.1 INTRODUCCIÓN 2 ANTECEDENTES 3 PLANTEAMIENTO DEL PROBLEMA 4 OBJETIVOS 5 JUSTIFICACIÓN 6 DELIMITACIONES 7 MARCO DE REFERENCIA 8 METODOLOGÍA 9 DISEÑO METODOLÓGICO. 10 CONCLUSIONES 11 RECOMENDACIONES BIBLIOGRAFÍAPregradoIngeniero Civi

Trials of large group teaching in Malaysian private universities: a cross sectional study of teaching medicine and other disciplines

<p>Abstract</p> <p>Background</p> <p>This is a pilot cross sectional study using both quantitative and qualitative approach towards tutors teaching large classes in private universities in the Klang Valley (comprising Kuala Lumpur, its suburbs, adjoining towns in the State of Selangor) and the State of Negeri Sembilan, Malaysia. The general aim of this study is to determine the difficulties faced by tutors when teaching large group of students and to outline appropriate recommendations in overcoming them.</p> <p>Findings</p> <p>Thirty-two academics from six private universities from different faculties such as Medical Sciences, Business, Information Technology, and Engineering disciplines participated in this study. SPSS software was used to analyse the data. The results in general indicate that the conventional instructor-student approach has its shortcoming and requires changes. Interestingly, tutors from Medicine and IT less often faced difficulties and had positive experience in teaching large group of students.</p> <p>Conclusion</p> <p>However several suggestions were proposed to overcome these difficulties ranging from breaking into smaller classes, adopting innovative teaching, use of interactive learning methods incorporating interactive assessment and creative technology which enhanced students learning. Furthermore the study provides insights on the trials of large group teaching which are clearly identified to help tutors realise its impact on teaching. The suggestions to overcome these difficulties and to maximize student learning can serve as a guideline for tutors who face these challenges.</p

Deep learning accurately classifies elbow joint effusion in adult and pediatric radiographs

Joint effusion due to elbow fractures are common among adults and children. Radiography is the most commonly used imaging procedure to diagnose elbow injuries. The purpose of the study was to investigate the diagnostic accuracy of deep convolutional neural network algorithms in joint effusion classification in pediatric and adult elbow radiographs. This retrospective study consisted of a total of 4423 radiographs in a 3-year period from 2017 to 2020. Data was randomly separated into training (n = 2672), validation (n = 892) and test set (n = 859). Two models using VGG16 as the base architecture were trained with either only lateral projection or with four projections (AP, LAT and Obliques). Three radiologists evaluated joint effusion separately on the test set. Accuracy, precision, recall, specificity, F1 measure, Cohen's kappa, and two-sided 95% confidence intervals were calculated. Mean patient age was 34.4 years (1-98) and 47% were male patients. Trained deep learning framework showed an AUC of 0.951 (95% CI 0.946-0.955) and 0.906 (95% CI 0.89-0.91) for the lateral and four projection elbow joint images in the test set, respectively. Adult and pediatric patient groups separately showed an AUC of 0.966 and 0.924, respectively. Radiologists showed an average accuracy, sensitivity, specificity, precision, F1 score, and AUC of 92.8%, 91.7%, 93.6%, 91.07%, 91.4%, and 92.6%. There were no statistically significant differences between AUC's of the deep learning model and the radiologists (p value > 0.05). The model on the lateral dataset resulted in higher AUC compared to the model with four projection datasets. Using deep learning it is possible to achieve expert level diagnostic accuracy in elbow joint effusion classification in pediatric and adult radiographs. Deep learning used in this study can classify joint effusion in radiographs and can be used in image interpretation as an aid for radiologists

The role of a probiotics mixture in the treatment of childhood constipation: a pilot study

<p>Abstract</p> <p>Background</p> <p>Inconsistent data exist about the efficacy of probiotics in the treatment of constipation. Several studies in adults with constipation showed positive effects of probiotics on constipation. Inconsistent data exist regarding the effect of a single probiotic strain in constipated children. The aim of this pilot study was to determine the effect of a mixture of probiotics containing bifidobacteria and lactobacilli in the treatment of childhood constipation.</p> <p>Methods</p> <p>Children aged 4–16 years with constipation as defined by the Rome III criteria were eligible for the study. During a 4 week period, children received a daily mix of 4 × 10⁹colony forming units of a probiotic mixture (<it>Ecologic</it>^®<it>Relief</it>) containing Bifidobacteria (B.) bifidum, B. infantis, B. longum, Lactobacilli (L.) casei, L. plantarum and L. rhamnosus. Primary outcome measures were frequency of bowel movements (BMs) per week and stool consistency. Secondary outcome measures were number of faecal incontinence episodes per week, abdominal pain and side effects.</p> <p>Results</p> <p>Twenty children, 50% male, median age 8 (range 4–16) were included.</p> <p>The frequency of BMs per week increased from 2.0 (1.0–5.0) to 4.2 (0.0–16.0) in week 2 (p = 0.10) and 3.8 (2.1–7.0) in week 4 (p = 0.13). In 12 children presenting with <3 BMs/week, BMs per week increased significantly from 1.0 (0.0–2.0) to 3.0 (0.0–7.0) in week 2 (p = 0.01) and 3.0 (0.0–10.0) in week 4 (p = 0.01). The stool consistency was reported as hard in 7 children at baseline, in 4 children at week 2 (p = 0.23) and in 6 children after 4 weeks of treatment (p = 1.00). A significant decrease in number of faecal incontinence episodes per week was found in the entire group: 4.0 (0.0–35.0) to 1.5 (0.0–14.0) in week 2 (p = 0.01) and 0.3 (0.0–7.0) in week 4 (p = 0.001). The presence of abdominal pain decreased significantly from 45% to 25% in week 2 (p = 0.04) and 20% at week 4 (p = 0.006). No side effects were reported.</p> <p>Conclusion</p> <p>This pilot study shows that a mixture of probiotics, has positive effects on symptoms of constipation. To confirm these findings, a large randomised placebo controlled trial is required.</p