MRI and CT Fusion in Stereotactic Electroencephalography (SEEG)

Epilepsy is a neurological disorder characterized by spontaneous recurrent seizures. While 20% to 30% of epilepsy cases are untreatable with Anti-Epileptic Drugs, some of these cases can be addressed through surgical intervention. The success of such interventions greatly depends on accurately locating the epileptogenic tissue, a task achieved using diagnostic techniques like Stereotactic Electroencephalography (SEEG). SEEG utilizes multi-modal fusion to aid in electrode localization, using pre-surgical resonance and post-surgical computer tomography images as inputs. To ensure the absence of artifacts or misregistrations in the resultant images, a fusion method that accounts for electrode presence is required. We proposed an image fusion method in SEEG that incorporates electrode segmentation from computed tomography as a sampling mask during registration to address the fusion problem in SEEG. The method was validated using eight image pairs from the Retrospective Image Registration Evaluation Project (RIRE). After establishing a reference registration for the MRI and identifying eight points, we assessed the method's efficacy by comparing the Euclidean distances between these reference points and those derived using registration with a sampling mask. The results showed that the proposed method yielded a similar average error to the registration without a sampling mask, but reduced the dispersion of the error, with a standard deviation of 0.86 when a mask was used and 5.25 when no mask was used.

Psychological impact after treatment in patients with head and neck cancer

BACKGROUND

Cancer is the second cause of death all over the world and it causes considerable morbidity, disability, and treatment sequela, which often lead to post-treatment pain and disfigurement. This study aims to evaluate such physical sequelae, and their psychological, (cognitive and emotional), impact, in a cohort of patients treated for Head and Neck (HNC) cancer, in search for methods to help such patients deal effectively with the psychological effects of their cancer treatments adverse consequences.

MATERIAL AND METHODS

The sample consists of 56 subjects, 47 men and 9 women, ranging from 47 years to 86 years of age, who were treated for head and neck cancers at Spanish Public General Hospital in the Otolaryngology Unit, Surgery Section. Two types of questionnaires were used in the study: the Questionnaire of Sequelae after Treatment of head and neck carcinoma and the State-Trait Anxiety Inventory (STAI-E and R).

RESULTS

With respect to anxiety, the study found high levels of state anxiety which was significantly associated with the degree of perception of social stigma but was not associated with the post-treatment sequelae themselves nor with the level of discomfort that such symptomatic sequelae produced. The presence of a post-surgical stoma with cannula, increased patient's stigma (both components: external rejection and self-rejection) and state anxiety ratings, while there was no difference in state anxiety between cannulated and non-cannulated patients. There are few differences between men and women in terms of the presence of anxiety and their responses are similar in terms of the after-effects of surgery.

CONCLUSIONS

Our study confirmed that current treatments for Head and Neck carcinoma generate adverse symptomatic sequela that impose significant psychological and physical burden for these patients. We will discuss the various pathways for preventive intervention that these findings open up.

Federated learning enables big data for rare cancer boundary detection

Although machine learning (ML) has shown promise across disciplines, out-of-sample generalizability is concerning. This is currently addressed by sharing multi-site data, but such centralization is challenging/infeasible to scale due to various limitations. Federated ML (FL) provides an alternative paradigm for accurate and generalizable ML, by only sharing numerical model updates. Here we present the largest FL study to-date, involving data from 71 sites across 6 continents, to generate an automatic tumor boundary detector for the rare disease of glioblastoma, reporting the largest such dataset in the literature (n = 6, 314). We demonstrate a 33% delineation improvement for the surgically targetable tumor, and 23% for the complete tumor extent, over a publicly trained model. We anticipate our study to: 1) enable more healthcare studies informed by large diverse data, ensuring meaningful results for rare diseases and underrepresented populations, 2) facilitate further analyses for glioblastoma by releasing our consensus model, and 3) demonstrate the FL effectiveness at such scale and task-complexity as a paradigm shift for multi-site collaborations, alleviating the need for data-sharing.

mHealth Apps Using Behavior Change Techniques to Self-report Data: Systematic Review

Background

The popularization of mobile health (mHealth) apps for public health or medical care purposes has transformed human life substantially, improving lifestyle behaviors and chronic condition management.

Objective

This review aimed to identify behavior change techniques (BCTs) commonly used in mHealth, assess their effectiveness based on the evidence reported in interventions and reviews to highlight the most appropriate techniques to design an optimal strategy to improve adherence to data reporting, and provide recommendations for future interventions and research.

Methods

We performed a systematic review of studies published between 2010 and 2021 in relevant scientific databases to identify and analyze mHealth interventions using BCTs that evaluated their effectiveness in terms of user adherence. Search terms included a mix of general (eg, data, information, and adherence), computer science (eg, mHealth and BCTs), and medicine (eg, personalized medicine) terms.

Results

This systematic review included 24 studies and revealed that the most frequently used BCTs in the studies were feedback and monitoring (n=20), goals and planning (n=14), associations (n=14), shaping knowledge (n=12), and personalization (n=7). However, we found mixed effectiveness of the techniques in mHealth outcomes, having more effective than ineffective outcomes in the evaluation of apps implementing techniques from the feedback and monitoring, goals and planning, associations, and personalization categories, but we could not infer causality with the results and suggest that there is still a need to improve the use of these and many common BCTs for better outcomes.

Conclusions

Personalization, associations, and goals and planning techniques were the most used BCTs in effective trials regarding adherence to mHealth apps. However, they are not necessarily the most effective since there are studies that use these techniques and do not report significant results in the proposed objectives; there is a notable overlap of BCTs within implemented app components, suggesting a need to better understand best practices for applying (a combination of) such techniques and to obtain details on the specific BCTs used in mHealth interventions. Future research should focus on studies with longer follow-up periods to determine the effectiveness of mHealth interventions on behavior change to overcome the limited evidence in the current literature, which has mostly small-sized and single-arm experiments with a short follow-up period.

Novel Thermal and Microscopic Techniques To Determine the Causes of Suboptimal Combustion Performance at Colombian Stoker Furnaces

This study presents the application of a novel approach, using thermal and optical techniques, to identify the causes of poor burnout performance of Colombian stoker furnaces in the Cauca Valley State. The four coals used in these furnaces were characterized to obtain particle size distribution, particle and tapped density, elemental and proximate composition, mineral composition, and maceral content. Up to 80% incomplete combustion was noted in macro-TGA tests compared to complete combustion in a micro-TGA. Reflectance and intrinsic reactivity measurements were for chars prepared in three different particle sizes (<6, 6-19, and 19 mm), three temperatures (700, 900, and 1050 °C), and three residence times (10, 30, and 120 min). Two of the coals produced char samples with reflectance values above 6%, which matched those seen in the stoker, indicating that the furnace temperature was not the cause of poor combustion and that only two of the four coals were likely to be present in the furnace bottom ash. These tests were also able to prove that oxygen diffusion limitation was the root cause of the poor burnout where the carbon inside the furnace bottom ash was shielded from oxygen ingress through the formation of a nonpermeable slag layer. Thus, this study demonstrates the potential of both thermal profiling and optical reflectance as a tool for forensically evaluating the thermal history and operational performance of furnaces.

Upgrading of Low-Grade Colombian Coals via Low-Cost and Sustainable Calcium Nitrate Dense Media Separation

Wet coal beneficiation in Colombia is prohibitive due to the high cost and scarcity of commonly used dense media. The practical value of this study is that it demonstrates for the first time that a common fertilizer, calcium nitrate, can be used in the beneficiation of low-grade Colombian coals. Three high-ash low-grade Colombian coals (Valle, Cundinamarca, and Antioquia) commonly used in Colombian sugar mill stoker furnaces were tested. Coal mineralogy and prevalence were analyzed before and after washing using mineral liberation analysis. The swelling potential of the coals was assessed using a novel application of thermal mechanical analysis (TMA) and an ash fusion oven (AFO). Calcium nitrate reduced ash levels across all size fractions, even for high-ash coals like Valle (29% to below 7%) to acceptable levels for coke manufacturing or pulverized fuel combustion. The novel use of TMA and AFO to analyze coal swelling demonstrated that swelling varies under constrained and unconstrained conditions and the small sample size allows for rapid testing of coal swelling. This study has demonstrated that the use of common fertilizers can allow beneficiation to become a processing option for low-grade coals in Official Development Assistance countries where conventional dense media is prohibitively expensive.

A concentration-QTc analysis of vericiguat

Introduction

Vericiguat is a soluble guanylate cyclase stimulator developed for the treatment of symptomatic chronic heart failure (HF) in patients with ejection fraction less than 45% who had a previous decompensation event. A dedicated, randomised, Phase Ib, QT study of vericiguat (NCT03504982) in 74 adult patients with stable coronary artery disease demonstrated no clinically significant prolongation of the time-matched, placebo-adjusted change from baseline in the Fridericia-corrected QT interval (QTcF) after vericiguat 10 mg once daily at steady state.

Purpose

We conducted a concentration–QTc (C-QTc) modelling analysis, on data from the QT study, to investigate the potential effect of vericiguat on QTcF and define the vericiguat plasma concentration window within which a relevant prolongation in QTcF can be excluded.

Methods

In the QT study, the effect of vericiguat once daily (2.5 mg titrated to 5 mg and then to 10 mg [treatments A, B, C] over 42±9 days) on the QT interval was investigated. The positive control was a single dose of moxifloxacin 400 mg (treatment D) on Day 8 or Day 50 (7 days before the first vericiguat dose or 7 days after the last vericiguat dose), depending on the treatment sequence (Figure 1).

Baseline electrocardiogram assessments were performed 24 h before the start of treatment (“baseline”) and at follow-up (“back-up baseline”; Figure 1). Time-matched, baseline- and placebo-adjusted QTcF (ΔΔQTc) mean values and 90% confidence intervals (CIs) were calculated. Two analytical approaches were used to calculate ΔΔQTc. The first one (“single baseline ΔΔQTc” approach) was data-driven, where ΔΔQTc was adjusted with placebo- and either “baseline” or “back-up baseline”. The second one (“modelled baseline ΔΔQTc”) accounted for individual baseline and placebo effects, such as diurnal time course, used linear mixed effects and integrated all individual baseline and placebo data. Calculated ΔΔQTc values were then related to observed vericiguat concentrations in the C-QTc modelling step, performed with linear mixed effects implemented in R (R, the R Foundation for Statistical Computing, version 3.2.5).

Results

The C-QTc modelling of ΔΔQTc calculated with the “single baseline ΔΔQTc” approach indicated a positive, but non-significant, slope (Figure 2A). The “modelled baseline ΔΔQTc” approach indicated a positive and statistically significant slope (Figure 2B). In both cases, the upper limits of the 90% CI were below the threshold of clinical relevance of 10 ms within the investigated exposure range (up to 745 μg/l).

Conclusion

Based on the presented analysis, a clinically meaningful QT prolongation was robustly excluded within the plasma concentration range associated with the recommended target dose of vericiguat 10 mg. The C-QTc analysis supports the conclusion of the primary study statistical analysis that administration of vericiguat between 2.5 and 10 mg is not associated with a clinically meaningful QTc prolongation.

Funding Acknowledgement

Type of funding sources: Private company. Main funding source(s): Funding was provided by Bayer AG, Berlin, Germany and Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA Figure 1Figure 2

Physiologically-based pharmacokinetic (PBPK) exploration of extrinsic factors influencing vericiguat pharmacokinetics

Introduction

Vericiguat is a once daily, novel oral stimulator of soluble guanylate cyclase (sGC) that showed clinical benefit in the Phase III VICTORIA study in heart failure patients with reduced ejection fraction (HFrEF, NCT02861534). Nonclinical and clinical studies demonstrated that the primary route of elimination of vericiguat was glucuronidation to an inactive metabolite M-1 (N-glucuronide). This glucuronidation was catalyzed by uridine 5'-diphospho-glucuronosyltransferases (UGT)1A9 as well as UGT1A1, thus vericiguat may have a potential for victim drug-drug interaction (DDI) when co-administered with potent UGT inhibitors.

Purpose

In a clinical DDI study with mefenamic acid as an UGT1A9 inhibitor no clinically relevant increase in vericiguat exposure in healthy subjects was observed (EudraCT 2014–000764–17). This analysis aims to prospectively investigate as extrinsic factors the DDI potential with atazanavir as a selective UGT1A1 inhibitor via full dynamic physiologically-based pharmacokinetic (PBPK) modelling.

Methods

A PBPK model for vericiguat and M-1 in healthy adults was built with PK-Sim (PBPK platform as part of the Open Systems Pharmacology Suite) by integrating physicochemical, in vitro metabolism and transporter data as well as PK data from clinical pharmacology studies in order to assess the victim DDI potential of vericiguat when co-administered with UGT inhibitors. First, PBPK models for mefenamic acid and atazanavir were separately developed and verified using published literature data. The PBPK model for vericiguat was then verified with regard to its fraction of metabolism by UGTs by comparing simulated and observed data of the clinical mefenamic acid DDI study. Finally, the UGT1A1 DDI potential of vericiguat was prospectively predicted by simulating an in silico study between the UGT1A1 inhibitor atazanavir and vericiguat.

Results

In line with the results of the clinical DDI study with mefenamic acid, an increase in total vericiguat exposure by 14% (area under the concentration time curve ratio (AUCR) of 1.14 (geoCV 5.3%; 90% population interval: 1.06 to 1.25) and peak exposure increase by 6% (CmaxR of 1.06; geoCV 5.9%; 90% population interval: 1.01 to 1.20) was simulated using the PBPK model. A prospective prediction of a virtual DDI trial between the UGT1A1 inhibitor atazanavir yielded an AUCR of 1.12 (geoCV 2.9%; 90% population interval: 1.07 to 1.17) and a CmaxR of 1.04 (geoCV 1.1%; 90% population interval: 1.03 to 1.06). The proposed population intervals for AUCR and CmaxR for both DDI studies lie within the default no-effect boundary of 0.80 to 1.25 according to the to January 2020 FDA DDI guideline.

Conclusion(s)

Results of UGT1A9-DDI simulations were consistent with those of the clinical study-The prospective UGT1A1-DDI simulation results suggest a low potential for vericiguat to be subject to DDI when co-administered with UGT1A1 inhibitors.

Funding Acknowledgement

Type of funding source: Private company. Main funding source(s): Funding for this research was provided by Bayer and Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA

Vericiguat clinical pharmacology programme: biopharmaceutical properties and potential intrinsic and extrinsic factor effects

Introduction

The Phase III VICTORIA study (NCT02861534), which evaluated vericiguat vs placebo in patients with worsening chronic heart failure (WCHF) with ejection fraction &lt;45%, demonstrated a significant reduction in the primary composite endpoint of cardiovascular death and HF hospitalisation.

Purpose

A comprehensive clinical pharmacological programme of 28 Phase I trials in &gt;650 participants was performed to inform use of vericiguat.

Methods

Biopharmaceutical properties, pharmacokinetics (PK) and the potential for intrinsic factors to influence vericiguat dose administration were investigated. The PK and pharmacodynamic (PD) interaction potential of vericiguat with other drugs was assessed.

Results

Vericiguat had a mean half-life of approximately 24 h and high bioavailability when taken with food, leading to the recommendation of once daily dosing with food. Due to the multi-pathway metabolism and excretion profile of vericiguat, there was a low risk of PK drug–drug interactions (DDI; Table). No clinically relevant PD DDI were identified between vericiguat and aspirin, warfarin, sacubitril/valsartan or nitrates. There was a relatively minor influence of intrinsic factors on vericiguat PK.

Conclusion

This clinical pharmacology programme supports use of vericiguat in patients with WCHF who are characterised by multiple comorbidities and polypharmacy.

Funding Acknowledgement

Type of funding source: Private company. Main funding source(s): Funding for this research was provided by Bayer AG, Berlin, Germany and Merck Sharp & Dohme Corp., a subsidiary of Merck & Co., Inc., Kenilworth, NJ, USA

Advantages and Limitations of Leap Motion from a Developers', Physical Therapists', and Patients' Perspective

BACKGROUND

Physical rehabilitation exergames (PREGs) are suitable for motivating patients toward completing treatments. Leap Motion (LM) is a motion sensor that may be useful for developing PREGs targeted at hands and fingers rehabilitation. Therefore, knowing the advantages and limitations of LM is relevant to understand under which conditions this sensor may be suitable.

OBJECTIVE

In this article, we present a qualitative study to identify the main advantages and limitations of LM for PREGs.

METHODS

We collect data using interviews with a group of PREGs developers, physical therapy experts, and patients. We employ the thematic analysis method to analyze the collected data.

RESULTS

We found that the advantages and limitations of LM are related to (1) the role as PREG development tool that enables hand movements detection, (2) the capability to be a mobile and easy-to-use capturing technology, and (3) the contribution to add value in rehabilitation therapy by motivating physical therapists and patients to use PREGs.

CONCLUSION

The analysis shows that LM is a suitable and cost-effective solution for developing usable PREGs for some hand and finger rehabilitation movements with a moderate development effort. However, the development maturity of LM poses limitations related to reliability and robustness, preventing the use of LM as a standalone physical rehabilitation tool. Our findings serve as guidelines for developers and physical therapists during the development and use of PREGs targeted at hands and fingers, guiding the decision-making process during feasibility analysis and design stages.

Psique: Computerised Neuropsychological Assessment

Neuropsychological tests are tools, used by psychologists, to measure and assess the impact of cognitive impairment diseases on patients. These tests are usually run and scored by hand, and results are stored on paper files. However, over the last years, the use of computers and Information and Communications Technology have been considered facilitating those processes. As a result, today there are Neuropsychological Batteries and Computerized Assessments with enough accuracy for evaluating such tests and redesigning the way those tests are applied. This paper presents the progress of Psique, a software application that groups a set of automatized neuropsychological tests used in consultation and operating theatre, developed by students of the Universidad del Valle, with neuropsychologists from the Hospital Departamental Psiquiátrico Universitario del Valle and the Centro Médico Imbanaco.

Using an ontology of the human cardiovascular system to improve the classification of histological images

The advantages of automatically recognition of fundamental tissues using computer vision techniques are well known, but one of its main limitations is that sometimes it is not possible to classify correctly an image because the visual information is insufficient or the descriptors extracted are not discriminative enough. An Ontology could solve in part this problem, because it gathers and makes possible to use the specific knowledge that allows detecting clear mistakes in the classification, occasionally simply by pointing out impossible configurations in that domain. One of the main contributions of this work is that we used a Histological Ontology to correct, and therefore improve the classification of histological images. First, we described small regions of images, denoted as blocks, using Local Binary Pattern (LBP) based descriptors and we determined which tissue of the cardiovascular system was present using a cascade Support Vector Machine (SVM). Later, we built Resource Description Framework (RDF) triples for the occurrences of each discriminant class. Based on that, we used a Histological Ontology to correct, among others, “not possible” situations, improving in this way the global accuracy in the blocks first and in tissues classification later. For the experimental validation, we used a set of 6000 blocks of \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$100\times100$$\end{document}100×100 pixels, obtaining F-Scores between 0.769 and 0.886. Thus, there is an improvement between 0.003 and \documentclass[12pt]{minimal} \usepackage{amsmath} \usepackage{wasysym} \usepackage{amsfonts} \usepackage{amssymb} \usepackage{amsbsy} \usepackage{mathrsfs} \usepackage{upgreek} \setlength{\oddsidemargin}{-69pt} \begin{document}$$0.769\%$$\end{document}0.769% when compared to the approach without the histological ontology. The methodology improves the automatic classification of histological images using a histological ontology. Another advantage of our proposal is that using the Ontology, we were capable of recognising the epithelial tissue, previously not detected by any of the computer vision methods used, including a CNN proposal called HistoResNet evaluated in the experiments. Finally, we also have created and made publicly available a dataset consisting of 6000 blocks of labelled histological tissues.

Multiscale Modeling of Thiol Overoxidation in Peroxiredoxins by Hydrogen Peroxide

In this work, we employ a multiscale quantum-classical mechanics (QM/MM) scheme to investigate the chemical reactivity of sulfenic acids toward hydrogen peroxide, both in aqueous solution and in the protein environment of the peroxiredoxin alkyl hydroperoxide reductase E from Mycobacterium tuberculosis (MtAhpE). The reaction of oxidation of cysteine with hydrogen peroxides, catalyzed by peroxiredoxins, is usually accelerated several orders of magnitude in comparison with the analogous reaction in solution. The resulting cysteine sulfenic acid is then reduced in other steps of the catalytic cycle, recovering the original thiol. However, under some conditions, the sulfenic acid can react with another equivalent of oxidant to form a sulfinic acid. This process is called overoxidation and has been associated with redox signaling. Herein, we employed a multiscale scheme based on density function theory calculations coupled to the classical AMBER force field, developed in our group, to establish the molecular basis of thiol overoxidation by hydrogen peroxide. Our results suggest that residues that play key catalytic roles in the oxidation of MtAhpE are not relevant in the overoxidation process. Indeed, the calculations propose that the process is unfavored by this particular enzyme microenvironment.

Characterising Physical Rehabilitation Exergames for Player Experience Evaluation Purposes

The constraints that physical rehabilitation exergames (PREGs) may impose on Player Experience (PX) evaluation should be identified from a physiotherapists' perspective. In this paper, we present the results of a qualitative study to identify the characteristics and constraints that are relevant to evaluate PX in PREGs. The study included semi-structured interviews conducted during two sessions with three physiotherapists from a local hospital. The collected data was analysed using the thematic content analysis method. The findings indicate that the PX evaluation constraints are related to (a) the rehabilitation context in which PREGs are employed; (b) the pursued rehabilitation goal (i.e., the capability of a PREG to assist the achievement of a rehabilitation goal); and (c) the characteristics of target patients, which may affect their experience and willingness to play. The findings of the study contribute to a comprehensive understanding of PX in PREGs. We concluded that the three groups of constraints may impact the three constructs of PX; i.e., context (rehabilitation context), player (patient) and game system (PREG system). Confirming the need to propose or extend PX models of entertaining games for the case of PREGs.

Transfer learning for classification of cardiovascular tissues in histological images

BACKGROUND AND OBJECTIVE

Automatic classification of healthy tissues and organs based on histology images is an open problem, mainly due to the lack of automated tools. Solutions in this regard have potential in educational medicine and medical practices. Some preliminary advances have been made using image processing techniques and classical supervised learning. Due to the breakthrough performance of deep learning in various areas, we present an approach to recognise and classify, automatically, fundamental tissues and organs using Convolutional Neural Networks (CNN).

METHODS

We adapt four popular CNNs architectures - ResNet, VGG19, VGG16 and Inception - to this problem through transfer learning. The resulting models are evaluated at three stages. Firstly, all the transferred networks are compared to each other. Secondly, the best resulting fine-tuned model is compared to an ad-hoc 2D multi-path model to outline the importance of transfer learning. Thirdly, the same model is evaluated against the state-of-the-art method, a cascade SVM using LBP-based descriptors, to contrast a traditional machine learning approach and a representation learning one. The evaluation task consists of separating six classes accurately: smooth muscle of the elastic artery, smooth muscle of the large vein, smooth muscle of the muscular artery, cardiac muscle, loose connective tissue, and light regions. The different networks are tuned on 6000 blocks of 100 × 100 pixels and tested on 7500.

RESULTS

Our proposal yields F-score values between 0.717 and 0.928. The highest and lowest performances are for cardiac muscle and smooth muscle of the large vein, respectively. The main issue leading to limited classification scores for the latter class is its similarity with the elastic artery. However, this confusion is evidenced during manual annotation as well. Our algorithm reached improvements in F-score between 0.080 and 0.220 compared to the state-of-the-art machine learning approach.

CONCLUSIONS

We conclude that it is possible to classify healthy cardiovascular tissues and organs automatically using CNNs and that deep learning holds great promise to improve tissue and organs classification. We left our training and test sets, models and source code publicly available to the research community.

Sarna sarcóptica en cerdos criados en cama profunda. Reporte de caso clínico

La sarna sarcóptica en los cerdos es causada por Sarcoptes scabiei var. suis el cual se distribuye ampliamente en los cinco continentes. Los productores porcícolas en general están preocupados por las infecciones parasitarias internas e ignoran las infestaciones parasitarias externas; estas últimas, causadas por S. scabiei tienen gran importancia económica ya que causa morbilidad, mortalidad, disminución de la fertilidad y de la tasa de conversión alimenticia. Este trabajo permitió determinar la presencia de sarna sarcóptica en cerdos criados bajo sistema de producción con cama profunda de una granja en el estado Guárico (Venezuela), utilizando las técnicas parasitológicas directas de flotación-concentración y microscopía directa. Los resultados demostraron que dos de siete muestras evaluadas fueron positivas con S. scabiei var. suis. El 100% de los animales presentaron lesiones de piel compatibles con la presencia del ácaro, pero el mismo solo pudo ser detectado en el 28,6% de ellos. La técnica de flotación-concentración fue más efectiva que la de microscopía directa. En este estudio describimos la primera detección de S. scabiei var. suis en cerdos domésticos en Venezuela criados en cama profunda.

Improving Patient Motivation Towards Physical Rehabilitation Treatments with PlayTherapy Exergame

A key problem in physical rehabilitation treatments is patient motivation since those treatments involve slow, repetitive, and often painful movements. Consequently, little progress may be achieved after a session, leading to longer or even uncompleted treatments. In this paper, PlayTherapy a platform to assist physical rehabilitation treatments is described. PlayTherapy is composed of two main components: (i) a rehabilitation digital exergame, consisting of a set of movement based and interactive mini-games; (ii) an information management system that keeps patient personal progress. Both components were developed in collaboration with a group of physiotherapists. Additionally, a User Experience (UX) evaluation, involving a group of physiotherapists and patients, is presented. This evaluation showed that the inclusion of PlayTherapy in physical rehabilitation treatments may increase patient motivation.

A histological ontology of the human cardiovascular system

BACKGROUND

In this paper, we describe a histological ontology of the human cardiovascular system developed in collaboration among histology experts and computer scientists.

RESULTS

The histological ontology is developed following an existing methodology using Conceptual Models (CMs) and validated using OOPS!, expert evaluation with CMs, and how accurately the ontology can answer the Competency Questions (CQ). It is publicly available at http://bioportal.bioontology.org/ontologies/HO and https://w3id.org/def/System .

CONCLUSIONS

The histological ontology is developed to support complex tasks, such as supporting teaching activities, medical practices, and bio-medical research or having natural language interactions.

Classification of cardiovascular tissues using LBP based descriptors and a cascade SVM

BACKGROUND AND OBJECTIVE

Histological images have characteristics, such as texture, shape, colour and spatial structure, that permit the differentiation of each fundamental tissue and organ. Texture is one of the most discriminative features. The automatic classification of tissues and organs based on histology images is an open problem, due to the lack of automatic solutions when treating tissues without pathologies.

METHOD

In this paper, we demonstrate that it is possible to automatically classify cardiovascular tissues using texture information and Support Vector Machines (SVM). Additionally, we realised that it is feasible to recognise several cardiovascular organs following the same process. The texture of histological images was described using Local Binary Patterns (LBP), LBP Rotation Invariant (LBPri), Haralick features and different concatenations between them, representing in this way its content. Using a SVM with linear kernel, we selected the more appropriate descriptor that, for this problem, was a concatenation of LBP and LBPri. Due to the small number of the images available, we could not follow an approach based on deep learning, but we selected the classifier who yielded the higher performance by comparing SVM with Random Forest and Linear Discriminant Analysis. Once SVM was selected as the classifier with a higher area under the curve that represents both higher recall and precision, we tuned it evaluating different kernels, finding that a linear SVM allowed us to accurately separate four classes of tissues: (i) cardiac muscle of the heart, (ii) smooth muscle of the muscular artery, (iii) loose connective tissue, and (iv) smooth muscle of the large vein and the elastic artery. The experimental validation was conducted using 3000 blocks of 100 × 100 sized pixels, with 600 blocks per class and the classification was assessed using a 10-fold cross-validation.

RESULTS

using LBP as the descriptor, concatenated with LBPri and a SVM with linear kernel, the main four classes of tissues were recognised with an AUC higher than 0.98. A polynomial kernel was then used to separate the elastic artery and vein, yielding an AUC in both cases superior to 0.98.

CONCLUSION

Following the proposed approach, it is possible to separate with very high precision (AUC greater than 0.98) the fundamental tissues of the cardiovascular system along with some organs, such as the heart, arteries and veins.

Systemic pan-AMPK activator MK-8722 improves glucose homeostasis but induces cardiac hypertrophy

5'-Adenosine monophosphate-activated protein kinase (AMPK) is a master regulator of energy homeostasis in eukaryotes. Despite three decades of investigation, the biological roles of AMPK and its potential as a drug target remain incompletely understood, largely because of a lack of optimized pharmacological tools. We developed MK-8722, a potent, direct, allosteric activator of all 12 mammalian AMPK complexes. In rodents and rhesus monkeys, MK-8722-mediated AMPK activation in skeletal muscle induced robust, durable, insulin-independent glucose uptake and glycogen synthesis, with resultant improvements in glycemia and no evidence of hypoglycemia. These effects translated across species, including diabetic rhesus monkeys, but manifested with concomitant cardiac hypertrophy and increased cardiac glycogen without apparent functional sequelae.

Aroma profile of malbec red wines from La Mancha region: Chemical and sensory characterization

The aroma of La Mancha Malbec red wines over four consecutive vintages was characterized by chemical and sensory analysis. Solid phase extraction (SPE) and gas chromatography-mass spectrometry (GC-MS) were used to isolate and analyze free volatile compounds. Quantitative Descriptive Sensory Analysis (QDA) was carried out to characterize the sensory aroma profile. A total of 79 free volatile compounds were identified and quantified in the wines over these four vintages. Volatile aroma compounds were classified into seven aromatic series and their odour activity values were calculated in order to determine the aroma impact compounds in these wines. The aroma sensory profile of these wines was characterized by red fruit, fresh, prune, liquorice, clove, caramel, leather, tobacco and coffee aromas. This study provides a complete aroma characterization of La Mancha Malbec red wines and it is proposed that these wines can be considered as an alternative to wines from traditional grape varieties of this region.

Irreversible electroporation of the liver: is there a safe limit to the ablation volume?

Irreversible electroporation is a fast-growing liver ablation technique. Although safety has been well documented in small ablations, our aim is to assess its safety and feasibility when a large portion of liver is ablated. Eighty-seven mice were subjected to high voltage pulses directly delivered across parallel plate electrodes comprising around 40% of mouse liver. One group consisted in 55 athymic-nude, in which a tumor from the KM12C cell line was grown and the other thirty-two C57-Bl6 non-tumoral mice. Both groups were subsequently divided into subsets according to the delivered field strength (1000 V/cm, 2000 V/cm) and whether or not they received anti-hyperkalemia therapy. Early mortality (less than 24 hours post-IRE) in the 2000 V/cm group was observed and revealed considerably higher mean potassium levels. In contrast, the animals subjected to a 2000 V/cm field treated with the anti-hyperkalemia therapy had higher survival rates (OR = 0.1, 95%CI = 0.02–0.32, p < 0.001). Early mortality also depended on the electric field magnitude of the IRE protocol, as mice given 1000 V/cm survived longer than those given 2000 V/cm (OR = 4.7, 95%CI = 1.8–11.8, p = 0.001). Our findings suggest that ionic disturbances, mainly due to potassium alterations, should be warned and envisioned when large volume ablations are performed by IRE.

A novel series of indazole-/indole-based glucagon receptor antagonists

A novel, potent series of glucagon receptor antagonists (GRAs) was discovered. These indazole- and indole-based compounds were designed on an earlier pyrazole-based GRA lead MK-0893. Structure-activity relationship (SAR) studies were focused on the C3 and C6 positions of the indazole core, as well as the benzylic position on the N-1 of indazole. Multiple potent GRAs were identified with excellent in vitro profiles and good pharmacokinetics in rat. Among them, GRA 16d was found to be orally active in blunting glucagon induced glucose excursion in an acute glucagon challenge model in glucagon receptor humanized (hGCGR) mice at 1, 3 and 10mg/kg (mpk), and significantly lowered acute glucose levels in hGCGR ob/ob mice at 3 mpk dose.

Diamine Derivatives as Novel Small-Molecule, Potent, and Subtype-Selective Somatostatin SST3 Receptor Agonists

A novel class of small-molecule, highly potent, and subtype-selective somatostatin SST3 agonists was discovered through modification of a SST3 antagonist. As an example, (1R,2S)-9 demonstrated not only potent in vitro SST3 agonist activity but also in vivo SST3 agonist activity in a mouse oral glucose tolerance test (OGTT). These agonists may be useful reagents for studying the physiological roles of the SST3 receptor and may potentially be useful as therapeutic agents.

Theoretical and experimental study on RF tumor ablation with internally cooled electrodes: when does the roll-off occur?

The Cool-tip is one of the most widely employed electrodes in radiofrequency (RF) ablation (RFA) of hepatic tumors. This electrode creates reliable geometry and coagulation zones. Despite the advantages of this electrode, during the ablation is produced a phenomenon called roll-off in which impedance increases, energy deposition completely stops and the lesion size cannot be increased. Consequently, the thermal lesion size is smaller and the tumors which can be ablated are smaller too. In this research we studied theoretical and experimentally the electrical-thermal performance of the Cool-tip electrode during RFA of hepatic tissue. Mainly, we were interested in the occurrence of the roll-off and its relationship with the tissue temperatures around the electrode. The theoretical model included the vaporization of the tissue and the variation of the thermal and electrical conductivities with temperature. The model was solved numerically using COMSOL Multiphysics software. For the experimental part we conducted a study in ex vivo liver tissue. The experimental and theoretical results showed that the roll-off is totally related when temperatures around 100 °C surrounds the tissue close to the center of the Cool-tip. The knowledge of this fact brings a powerful tool to analyze alternative methods or techniques to avoid the roll-off.

A Controlled Randomized Study on the Efficacy of Short-Term Dinamic Psychotherapy in Borderline Personality Disorders (BPD). Preliminary Results

Introduction

Four psychotherapies have been recognized as effective with scientific evidence for the treatment of BPD, but are long term techniques. It is necessary to explore new time limited psychotherapies in order to be more accessible.

We have developed a specific manualized psychotherapy for BPD named Psychic Representation focused Psychotherapy (PRFP)

Objectives

To assess the efficacy of the PRFP in BPD in an outpatient care setting compared to a control group receiving psychiatric treatment “as usual” in several specific symptoms and in diminishing the disability due to the illness.

Methods

60 subjects with BPD were randomized to one of the two treatment groups. The study group has received PRFP with 20 sessions on a weekly basis; the control group has received treatment “as usual”. Both groups may receive psychopharmacological treatment. The assessment is done in four time-points: at baseline, after the psychotherapy or conventional treatment (six months), and at a six and twelve month's follow-up period.

Results

Preliminary results of the first 30 patients (control group 17, experimental group 13, without significant differences, Age 18–35 years; 70% women) assessed at the baseline and at the end of the intervention (six months). Experimental group reached a statistically significant clinical improvement over the controls in all measured variables: Scales: SCL-90; Zanarini ; MDRS; Barrat; STAI anxiety state; Rosemberg self-esteem and SASS social adaptation.

Conclusion

The preliminary results are encouraging and reveal that this method could be effective. This study state the interest in develop more studies about time limited psychotherapy for BPD.

Experimental and theoretical study of an internally cooled bipolar electrode for RF coagulation of biological tissues

Although some types of bipolar electrodes have been broadly employed in clinical practice to coagulate biological tissue by means of radiofrequency (RF) currents, there is still scanty available information about their electrical-thermal behaviour. We are focused on internally cooled bipolar electrodes. The goal of our study was to know more about the behavior of this kind of electrodes. For that, we planned an experimental and theoretical model. The experimental study was based on bovine hepatic ex vivo tissue and the theoretical model was based on the Finite Element Method (FEM). In order to check the feasibility of the theoretical model, we assessed both theoretically and experimentally the effect of the internal cooling characteristics of the bipolar electrode (flow rate and coolant temperature) on the impedance progress during RF heating and coagulation zone dimensions. The experimental and theoretical results were in good agreement, which suggests that the theoretical model could be useful to improve the design of cooled bipolar electrodes.

Adenovirus-mediated adiponectin expression augments skeletal muscle insulin sensitivity in male Wistar rats

In this study, we investigated the chronic in vivo effect of adiponectin on insulin sensitivity and glucose metabolism by overexpressing the adiponectin protein in male Wistar rats using intravenous administration of an adenovirus (Adv-Adipo). Virally infected liver secreted adiponectin as high and low molecular weight complexes. After 7 days of physiological or supraphysiological hyperadiponectinemia, the animals displayed enhanced insulin sensitivity during the glucose tolerance and insulin tolerance tests. Glucose clamp studies performed at submaximal and maximal insulin infusion rates (4 and 25 mU x kg(-1) x min(-1), respectively) also demonstrated increased insulin sensitivity in Adv-Adipo animals, with the insulin-stimulated glucose disposal rate being increased by 20-67%. In contrast, insulin's effect on the suppression of hepatic glucose output and plasma free fatty acid levels was not enhanced in Adv-Adipo rats compared with controls, suggesting that high levels of adiponectin expression in the liver may lead to a local desensitization. Consistent with the clamp data, the activation of AMP-activated protein kinase was significantly enhanced in skeletal muscle (by 50%) but not in liver. One interesting finding was that in male Wistar rats, both AdipoR1 and AdipoR2 expression levels were higher in skeletal muscle than in liver, as it is the case in humans. These results indicate that chronic adiponectin treatment enhances insulin sensitivity and could serve as a therapy for human insulin resistance.

Factors influencing the anti-inflammatory effect of dexamethasone therapy in experimental pneumococcal meningitis

Dexamethasone (DXM) interferes with the production of tumour necrosis factor-alpha (TNF-alpha) and interleukin-1 (IL-1) and can thereby diminish the secondary inflammatory response that follows initiation of antibacterial therapy. A beneficial effect on the outcome of Haemophilus meningitis in children has been proven, but until recently the effect of DXM therapy in pneumococcal meningitis was uncertain. The aim of the present study was to evaluate factors that might influence the modulatory effect of DXM on the antibiotic-induced inflammatory response in a rabbit model of pneumococcal meningitis. DXM (1 mg/kg) was given intravenously 30 min before or 1 h after administration of a pneumococcal cell wall extract, or the first dose of ampicillin. In meningitis induced by cell wall extract, DXM therapy prevented the increase in cerebrospinal fluid (CSF) leucocyte and lactate concentrations, but only if given 30 min before the cell wall extract. In meningitis caused by live organisms, initiation of ampicillin therapy resulted in an increase in CSF TNF-alpha and lactate concentrations only in animals with initial CSF bacterial concentrations > or =5.6 log10 cfu/mL. In those animals, DXM therapy prevented significant elevations in CSF TNF-alpha [median change -184 pg/mL, -114 pg/mL versus +683 pg/mL with DXM (30 min before or 1 h after ampicillin) versus controls (no DXM), respectively, P=0.02] and lactate concentrations [median change -10.6 mmol/L, -1.5 mmol/L versus +14.3 mmol/L with DXM (30 min before or 1 h after ampicillin) versus controls (no DXM), respectively, P=0.01]. These effects were independent of the timing of DXM administration. In this model of experimental pneumococcal meningitis, an antibiotic-induced secondary inflammatory response in the CSF was demonstrated only in animals with high initial CSF bacterial concentrations (> or =5.6 log10 cfu/mL). These effects were modulated by DXM therapy whether it was given 30 min before or 1 h after the first dose of ampicillin.

Congenital dyserthropoietic anaemia other than type I to III with a peculiar erythroblastic morphology

Here, we report the case of a child who, since birth, showed persistent macrocytosis and elevated mean corpuscular volume of the erythrocytes. Bone marrow biopsy revealed gross disorganisation of the erythroblastic series both at the light and electron microscopic examination, with complete absence of dysplastic features in the granulocytic and megakaryocytic series. Common causes of macrocytosis were excluded. The spectrum of morphological findings were not consistent with any of the classical types of congenital dyserythropoietic anaemias (CDAs) and serological findings of CDA type II were absent. The most outstanding feature was a marked irregularity of the nuclear outline of the late erythroblasts that presented thick-ending finger-like projections. The combination of macrocytosis without anaemia and these morphologic erythroblastic changes have not been previously reported in the setting of classical and variant forms of CDAs.