Evaluation of the ODISEA APP for improving a STEMI regional network.

BACKGROUND: The use of technological innovations in ST elevation myocardial infarction (STEMI) care networks has been shown to be effective in improving information flow and coordination, and thus reducing the time to reperfusion. We developed a smartphone application called ODISEA to improve our STEMI care network and evaluated the results of its use. METHOD: Quasi-experimental study that compared the outcomes of STEMI suspected patients with an alert and indication for transfer to a cath lab during a previous period and a period in which the ODISEA APP was used. The main objective was to examine differences in reperfusion time and the proportion of patients with a final diagnosis other than acute coronary syndrome. RESULTS: A total of 699 patients were included (415 before and 284 during the ODISEA-APP period). No differences were observed in patient characteristics, infarct type, or acute complications. We observed a reduction in the time from diagnostic ECG to wire crossing with the use of the ODISEA APP (117 vs 102 min, p < 0.001) and a reduction in the percentage of patients with a final diagnosis other than acute coronary syndrome (17.1% vs 9.5%, p = 0.004). CONCLUSIONS: The use of the ODISEA APP in the management of patients with suspected STEMI may be useful for reducing the time from diagnostic ECG to wire crossing and the percentage of patients with a final diagnosis other than acute coronary syndrome.

BeST-Graft viewer, a new system to improve the bone allograft-recipient matching process.

INTRODUCTION: Tissue establishments are responsible for processing, testing, preserving, storing, and distributing allografts from donors to be transplanted into recipients. In some situations, a matching process is required to determine the allograft that best fits the recipient. Allograft morphology is a key consideration for the matching process. The manual procedures applied to obtain these parameters make the process error-prone. MATERIAL AND METHODS: A new system to manage bone allograft-recipient matching for tissue establishments is proposed. The system requires bone allografts to be digitalized and the resulting images to be stored in a DICOM file. The system provides functionalities to: (i) manage DICOM files (registered in the PACs) from both allografts and recipients; (ii) reconstruct 3D models from DICOM images; (iii) explore 3D models using 2D, 3D, and multiplanar reconstructions; (iv) take allograft and recipient measurements; and (v) visualize and interact with recipient and allograft data simultaneously. The system has been installed in the Barcelona Tissue Bank (Banc de Sang i Teixits), which has digitalized the bone allografts to test the system. RESULTS: A use case with a femur is presented to test all the viewer functionalities. In addition, the recipient-allograft workflow is evaluated to show the steps of the procedure where the viewer can be used. CONCLUSIONS: The bone allograft-recipient matching procedure can be optimized using software tools with functionalities to visualize, interact, and take measurements.

Limitations and solutions of low cost virtual reality mirror therapy for post-stroke patients.

Mirror therapy is applied to reduce phantom pain and as a rehabilitation technique in post-stroke patients. Using Virtual Reality and head-mounted displays this therapy can be performed in virtual scenarios. However, for its efficient use in clinical settings, some hardware limitations need to be solved. A new system to perform mirror therapy in virtual scenarios for post-stroke patients is proposed. The system requires the patient a standalone virtual reality headset with hand-tracking features and for the rehabilitator an external computer or tablet device. The system provides functionalities for the rehabilitator to prepare and follow-up rehabilitation sessions and a virtual scenario for the patient to perform rehabilitation. The system has been tested on a real scenario with the support of three experienced rehabilitators and considering ten post-stroke patients in individual sessions focused on upper limb motor rehabilitation. The development team observed all the sessions and took note of detected errors regarding technological aspects. Solutions to solve detected problems will be proposed and evaluated in terms of feasibility, performance cost, additional system cost, number of solved issues, new limitations, or advantages for the patient. Three types of errors were detected and solved. The first error is related to the position of the hands relative to the head-mounted display. To solve it the exercise area can be limited to avoid objectives that require turning the head too far. The second error is related to the interaction between the hands and the virtual objects. It can be solved making the main hand non-interactive. The last type of error is due to patient limitations and can be mitigated by having a virtual hand play out an example motion to bring the patient's attention back to the exercise. Other solutions have been evaluated positively and can be used in addition or instead of the selected ones. For mirror therapy based on virtual reality to be efficient in post-stroke rehabilitation the current head-mounted display-based solutions need to be complemented with specific strategies that avoid or mitigate the limitations of the technology and the patient. Solutions that help with the most common issues have been proposed.

Design and deployment of ODISEA, an application for the myOcarDial infarction SafEtytrAnsfer of patients.

BACKGROUND: Rapid primary angioplasty is the most effective reperfusion strategy for acute ST-elevation myocardial infarction (STEMI) patients. Since not all hospitals have a catheterization laboratory to perform this intervention, adequate coordination of all medical professionals involved in the management of STEMI patients from the emergency room to the hospital catheterization laboratory is necessary. OBJECTIVE: Present the design and deployment of ODISEA (acronym of myOcarDial Infarction SafEtytrAnsfer), a web-based environment plus an application created to complement and support the transfer and management of STEMI patients from the first medical contact to the catheterization laboratory where the primary angioplasty will be carried out. METHOD: ODISEA is an application that has been designed to improve the coordination of all health personnel involved in the management of STEMI patients, i.e., primary care hospitals, Emergency Medical Services [EMS] and cardiology departments. The application provides: (i) functionalities to register relevant information of the patients' and the administered medications, (ii) a chat to coordinate all involved personnel; (iii) treatment recommendations for the first medical contact; and (iv) a GPS-SATELLITE monitoring system to know the exact position of the ambulance during patient transfer. These features improve the coordination in the catheterization laboratory, and optimize the equipment preparation time, and also the patient accommodation procedures after primary angioplasty. ODISEA registers all treated cases for a proper follow-up. The application has been tested from September 2021 to January 2022 in the context of a pilot study in Girona that involved 98 patients and 42 professionals (11 from hospital without Cath lab availability, 21 from EMS, and 10 from the main hospital). Professionals answered a questionnaire using a five-point Likert scale (satisfaction level from 1 to 5) to assess ODISEA regarding patient management, care quality, transfer coordination, transfer effectiveness, and usefulness. Collected data was analyzed using chi-square or Fisher's exact test. Statistical significance has been considered p < 0.05. To evaluate times of first angioplasty, relevant data from 98 patients was collected and compared with data of 129 STEMI patients not treated with ODISEA. RESULTS: For all the questions>70 % of answers are in the 3 to 5 range and from these, almost all the questions have 50 % of answers in the 4 and 5 range. Regarding groups of professionals only in the question related to coordination significant difference has been found for EMS professionals with respect to hospital without Cath lab availability and catheterization hospital professionals. Comparing ODISEA with no ODISEA patients it was observed an improvement in the times of first angioplasty as well as a reduction in the erroneous infarction codes activation. Patients treated with the ODISEA APP were further away from the PCI-capable center. A non-significant tendency was seen towards shorter primary angioplasty times (diagnostic electrocardiogram-guidewire passage) in the ODISEA compared to the NON ODISEA group (112 min vs 122 min; P =.3), a non-significant reduction of cases with times > 120 min (26.2 % vs 35.7 %, respectively; P =.1), and a tendency towards fewer cases eventually diagnosed as non-acute coronary syndrome (7.1 % vs 13.2 %; P =.1). CONCLUSION: ODISEA is a very well-accepted application that improves the management of STEMI patients. The application is an appropriate complement to current infarction protocol.

Attending pediatric acutely ill patients at home: families' socioeconomic characterization, expectations, and experiences.

BACKGROUND: SJD a Casa is an acute pediatric hospital-at-home program that was initiated in 2019. For a thorough understanding of acute pediatric homecare programs, an analysis of all related factors, including the medical, social, and economic aspects as well as the family's experience, is essential. However, no previous study has attempted a comprehensive evaluation of this topic in relation to a complex program such as ours (in terms of the diseases and treatments offered). In this study, we aimed to finely characterize the population that opts for pediatric homecare programs and obtain a thorough understanding of the families' needs, which will improve our understanding of the program and potentially reveal possible deficiencies. METHODS: This prospective quantitative and qualitative study involved collection of ordinal data as well as statements made by the caregivers of patients undergoing homecare. A total of 372/532 families were asked to answer two independent questionnaires (preadmission and postadmission) that evaluated their socioeconomic characteristics; expectations and experiences; and factors influencing the preference for homecare. The results were presented as frequencies and comparisons (Fisher's exact test). RESULTS: The families had an adequate social network and a less-than-expected workload, and most families responded that they would have repeated the experience despite the workload. The expectations regarding the caregiver's well-being at home were better than the actual situation, since some caregivers experienced anxiety or fear. The rating for homecare was better than that for the inpatient care offered before the homecare transfer. CONCLUSIONS: Families included in the program were content with the homecare program and mostly responded that they would repeat the experience if needed. Although the duration of the program was short-term, some caregivers may experience symptoms of burnout like anxiety, which should be taken into consideration. Despite its limitations, this study offers the possibility of improving our service portfolio by focusing on vulnerable families' access to the program and the caregiver's risk of burnout.

Asynchronous online learning as a key tool to adapt to new educational needs in radiology during the COVID-19 pandemic.

The risk of contagion and the lockdown caused by the COVID-19 pandemic forced a change in teaching methodologies in radiology. New knowledge about the disease that was being acquired on a daily basis needed to be rapidly spread worldwide, but the restrictions imposed made it difficult to share this information. This paper describes the methodology applied to design and launch a practice-based course on chest X-ray suggestive of COVID-19 right after the pandemic started, and aims to determine whether asynchronous online learning tools for radiology education are useful and acceptable to general practitioners and other medical personnel during a pandemic. The study was carried out from April to October 2020 and involved 2632 participants. Pre- and post-testing was used to assess the participants' gain of knowledge in the course content (paired t-tests and chi-squared tests of independence). A five-point Likert scale questionnaire inspired by the technological acceptance model (TAM) was provided to evaluate the e-learning methodology (ANOVA tests). The results from the pre- and post-tests showed that there were significant differences in the scores before and after completing the course (sample size = 2632, response rate = 56%, p<0.001). As for the questionnaire, all questions surpassed 4.5 out of 5, including those referring to perceived ease of use and perceived usefulness, and no significant differences were found between experienced and inexperienced participants (sample size = 2535, response rate = 53%, p=0.85). The analysis suggests that the applied methodology is flexible enough to adapt to complex situations, and is useful to improve knowledge on the subject of the course. Furthermore, a wide acceptance of the teaching methodology is confirmed for all technological profiles, pushing for and endorsing a more widespread use of online platforms in the domain of radiology continuing education.

Using a route planner to optimize door-to-door visits for a pediatric home-hospitalization program: Feasibility study.

Background: Hospital Sant Joan de Déu (Barcelona) initiated a pediatric acute home-hospitalization program. Due to high patient turnover and the health staff's lack of planning training, daily scheduling was a time-consuming task. Home-hospitalization planning is a vehicle routing problem that can be solved with a technological solution. It was therefore decided to evaluate the efficacy and necessity of the SmartMonkey.io planner. Objectives: To compare traditional manual route planning with a route optimizer, and to evaluate the technical feasibility of the implementation of a route planner into a homecare program. Methods: Eight participants (experienced homecare staff and inexperienced hospital staff) were included. Personal interviews were performed to assess their eagerness to try a technological solution to the planning problem. Objective benefits including reduced travel time (time planning, distance traveled, and time traveled) were evaluated. Paired t-test, t-test, and Pearson's correlation were used to compare manual and route planner scheduling. Participants then answered a questionnaire to assess planning difficulty and the acceptance of the route planner. Results: Homecare staff were initially reluctant to use the technology. Significant differences (P < 0.0001) in three variables were found between manual planning and the route planner. A moderate correlation between time planning and plan difficulty (r = 0.59, P < 0.0001) was found with manual planning but not with the route planner. All route planner schedules saved time and distance. No significant differences were found between expertise and planning method. It was noted that it was easy to create plans with the route planner, while difficulty with manual planning increased as more locations were added. All participants evaluated the route planning tool favorably. Conclusions: Route-planning technology saved planning time and generated better plans than manual planning. The route planner's learning curve was fast and results were obtained in the same amount of time regardless of difficulty and expertise. SmartMonkey.io also has the potential to reduce internal and environmental costs and increase staff productivity.

Deep learning for the quality control of thermoforming food packages.

Quality control is a key process designed to ensure that only products satisfying the defined quality requirements reach the end consumer or the next step in a production line. In the food industry, in the packaging step, there are many products that are still evaluated by human operators. To automate the process and improve efficiency and effectiveness, computer vision and artificial intelligence techniques can be applied. This automation is challenging since specific strategies designed according to the application scenario are required. Focusing on the quality control of the sealing and closure of matrix-shaped thermoforming food packages, the aim of the article is to propose a deep-learning-based solution designed to automatically perform the quality control while satisfying production cadence and ensuring 100% inline inspection of the products. Particularly, the designed computer vision system and the image-based criteria defined to determine when a product has to be accepted or rejected are presented. In addition, the vision control software is described with special emphasis on the different convolutional neural network (CNN) architectures that have been considered (ResNet18, ResNet50, Vgg19 and DenseNet161, non-pre-trained and pre-trained on ImageNet) and on the specifically designed dataset. To test the solution, different experiments are carried out in the laboratory and also in a real scenario, concluding that the proposed CNN-based approach improves the efficiency and security of the quality control process. Optimal results are obtained with the pre-trained DenseNet161, achieving false positive rates that range from 0.03 to 0.30% and false negative rates that range from 0 to 0.07%, with a rejection rate between 0.64 and 5.09% of production, and being able to detect at least 99.93% of the sealing defects that occur in any production. The modular design of our solution as well as the provided description allow it to adapt to similar scenarios and to new deep-learning models to prevent the arrival of faulty products to end consumers by removing them from the automated production line.

A Method to Compensate for the Errors Caused by Temperature in Structured-Light 3D Cameras.

Although low cost red-green-blue-depth (RGB-D) cameras are factory calibrated, to meet the accuracy requirements needed in many industrial applications proper calibration strategies have to be applied. Generally, these strategies do not consider the effect of temperature on the camera measurements. The aim of this paper is to evaluate this effect considering an Orbbec Astra camera. To analyze this camera performance, an experimental study in a thermal chamber has been carried out. From this experiment, it has been seen that produced errors can be modeled as an hyperbolic paraboloid function. To compensate for this error, a two-step method that first computes the error and then corrects it has been proposed. To compute the error two possible strategies are proposed, one based on the infrared distortion map and the other on the depth map. The proposed method has been tested in an experimental scenario with different Orbbec Astra cameras and also in a real environment. In both cases, its good performance has been demonstrated. In addition, the method has been compared with the Kinect v1 achieving similar results. Therefore, the proposed method corrects the error due to temperature, is simple, requires a low computational cost and might be applicable to other similar cameras.

A Serious Game on the First-Aid Procedure in Choking Scenarios: Design and Evaluation Study.

BACKGROUND: Choking is one of the causes of unintentional injury death. Gaining the knowledge of the first-aid procedure that has to be applied in case of choking can increase the chances of survival of persons with choking. Serious games can be a good channel for educating people about choking scenarios and the actions to be taken to save the persons with choking. OBJECTIVE: The objective of this study is to present and evaluate the effectiveness of a serious game designed to prevent choking and to promote the first-aid procedure that needs to be applied in case of choking. METHODS: In this study, we present a serious game as a set of minigames that reproduces the main steps of the protocol for the first-aid performed in choking. In the proposed game, the player acquires the role of a helper who has to save the person in a choking emergency by applying the main steps of the protocol. Time and score restrictions are imposed to pass each minigame. To test this game, we performed a pilot study with 48 high school students. Different tests were performed to assess the students' preferences and their knowledge on choking before and after playing the proposed game. The obtained results were analyzed using Mann-Whitney U test when a grade variable was involved and by using Fisher exact test when 2 categorical variables were involved. RESULTS: The findings of our study showed that the players enjoyed the game. No statistical differences were detected when considering the gender of the player, their preferences for video games, or their previous experience in choking emergencies. By comparing the knowledge of these students before and after playing the game, we found that all the indicators of the knowledge about how to act in case of a choking emergency were improved through this serious game. CONCLUSIONS: The findings of our study show that the proposed game is a good strategy for promoting and teaching first-aid procedures in choking emergencies to nonexperts in this field.

Bariatric Surgery-Induced Changes in Intima-Media Thickness and Cardiovascular Risk Factors in Class 3 Obesity: A 3-Year Follow-Up Study.

OBJECTIVE: The impact of weight loss induced by bariatric surgery (BS) and nonsurgical approaches on cardiovascular risk factors (CVRFs) has not been fully elucidated. We assessed the effects of BS and a nonsurgical approach on carotid intima-media thickness (CIMT) and CVRFs in participants with class 3 obesity. METHODS: A total of 87 participants with obesity (59 women; 46 [37-52] years old; BMI, 43 [40-47]) and 75 controls were recruited; 21 (25%) participants with obesity underwent BS. BMI, blood pressure, cholesterol, triglycerides, fasting plasma glucose, C-reactive protein, CIMT, and Framingham Risk Score were measured at baseline and at 3-year follow-up. Independent factors for reduction in CIMT were analyzed. The literature on the effects of BS and CIMT was reviewed. RESULTS: After BS, BMI decreased from 45.45 to 27.28 (P < 0.001), and mean CIMT decreased from 0.64 mm (0.56-0.75 mm) to 0.54 mm (0.46-0.65) mm (P < 0.012), equivalent to 0.005 mm/kg of weight lost. At 3-year follow-up, participants who had undergone BS had similar CIMT and CVRFs to the control group. No changes in CVRFs were seen related to the nonsurgical approach. BMI reduction after BS had the strongest independent association with decreased CIMT. CONCLUSIONS: Weight loss after BS decreases CIMT and CVRFs in middle-aged participants with class 3 obesity, resulting in CIMT similar to that observed in lean participants.

Starviewer and its comparison with other open-source DICOM viewers using a novel hierarchical evaluation framework.

METHODS: The aim of the paper is twofold. First, we present Starviewer, a DICOM viewer developed in C++ with a core component built on top of open-source libraries. The viewer supports extensions that implement functionalities and front-ends for specific use cases. Second, we propose an adaptable evaluation framework based on a set of criteria weighted according to user needs. The framework can consider different user profiles and allow criteria to be decomposed in subcriteria and grouped in more general categories making a multi-level hierarchical structure that can be analysed at different levels of detail to make scores interpretation more comprehensible. RESULTS: Different examples to illustrate Starviewer functionalities and its extensions are presented. In addition, the proposed evaluation framework is used to compare Starviewer with four open-source viewers regarding their functionalities for daily clinical practice. In a range from 0 to 10, the final scores are: Horos (7.7), Starviewer (6.2), Weasis (6.0), Ginkgo CADx (4.1), and medInria (3.8). CONCLUSIONS: Starviewer provides basic and advanced features for daily image diagnosis needs as well as a modular design that enables the development of custom extensions. The evaluation framework is useful to understand and prioritize new development goals, and can be easily adapted to express different needs by altering the weights. Moreover, it can be used as a complement to maturity models.

Introducing Online Continuing Education in Radiology for General Practitioners.

The aim of this study was to determine whether e-learning as a new teaching methodology was acceptable for general practitioners in continuous education courses of radiology. Generally, these courses are face-to-face with the corresponding time and place limitations. To overcome these limitations, we transformed one of these courses to an online one evaluating its acceptance. The course was about thorax radiology and it was delivered to 249 participants. The experiment was carried out in two phases: Phase 1, as a pilot testing with 12 general practitioners (G1), and Phase 2, with 149 general practitioners (G2), 12 radiologists (G3) and 76 medical residents (G4). All participants evaluated the course design, the delivering e-learning platform, and the course contents using a five-point Likert scale (satisfaction level from 1 to 5). Collected data was analysed using t, Mann-Whitney U and Kruskal-Wallis tests. In Phase 1, the rounded scores of all questions except one surpassed 3.5. In Phase 2, all the rounded scores surpassed 4.0 indicating that a total agreement on all items was achieved. All collected impressions indicate the high acceptance of the proposed methodology.

IVET, an Interactive Veterinary Education Tool.

The use of e-learning tools for medical teaching is a common practice, but similar tools do not exist for veterinary teaching. In this article, we present a fully web-based e-learning platform, denoted Interactive Veterinary Education Tool (IVET), which is designed to support teaching and learning in veterinary science. To make content creation easier, it provides theory, exercise, and image editors with functionalities to prepare exercises and theoretical content including 2-dimensional (2D) images, 3-dimensional (3D) models, and Digital Imaging and Communications in Medicine (DICOM) files, which can be manipulated by the users. It supports different types of exercises such as quizzes, 2D and 3D location exercises, and exercises based on multiplanar reconstructions from a set of animal scans (DICOM files). In addition, a correction strategy is defined for each type of exercise to automatically correct them and avoid the teacher to perform this process manually. All data are stored in a central repository, including the material prepared by the teacher and the solutions sent by the students, from which the system is able to compute some statistics, such as the evolution of the students and the final score of a course. By this way, teachers can use this information to carry out continuous assessment. All the resources such as 2D images, 3D models, and DICOM files are stored in the multimedia repository, included in the central one. To obtain real 3D models from animal scans, a manual segmentation process is also described. The platform has been reviewed by a group of teachers through an experimental test, and its functionalities have been compared with other veterinary e-learning tools from the literature.

How the gender of a victim character in a virtual scenario created to learn CPR protocol affects student nurses' performance.

BACKGROUND AND OBJECTIVE: Virtual simulations recreate scenarios where student nurses can practice procedures in a safe and supervised manner and with no risk to the patient. Virtual scenarios include digital characters that reproduce human actions. Generally, these characters are modeled as males and restricted roles are assigned to females. Our objective is to evaluate how the character gender of a victim in a scenario created to practice the cardiopulmonary resuscitation protocol (CPR) affects performance of student nurses. METHODS: Three virtual scenarios with cardiac arrest victims modeled as males or females were assigned to 41 students of the Nursing Faculty to practice the CPR protocol. We evaluated student performance with respect to the time to remove clothes, the time to perform the CPR maneuver, and the hands position for CPR. Chi-square, Fisher exact, and Mann-Whitney U were used to test primary outcome measures in the experimental design of victim character sex (male vs. female) and student sex (men vs. women). RESULTS: The analysis performed did not find statistically differences in time to remove clothes or in time to start CPR. With respect to hands placement we also did not find significant difference in any of the cases. CONCLUSION: Nurse student actions are not influenced by the character gender of the victim. Excellent results with respect to hands placement to start CPR are obtained. Virtual scenarios can be a suitable strategy to reduce gender differences in gender sensitive situations such as CPR performance.

Novel Brain Complexity Measures Based on Information Theory.

Brain networks are widely used models to understand the topology and organization of the brain. These networks can be represented by a graph, where nodes correspond to brain regions and edges to structural or functional connections. Several measures have been proposed to describe the topological features of these networks, but unfortunately, it is still unclear which measures give the best representation of the brain. In this paper, we propose a new set of measures based on information theory. Our approach interprets the brain network as a stochastic process where impulses are modeled as a random walk on the graph nodes. This new interpretation provides a solid theoretical framework from which several global and local measures are derived. Global measures provide quantitative values for the whole brain network characterization and include entropy, mutual information, and erasure mutual information. The latter is a new measure based on mutual information and erasure entropy. On the other hand, local measures are based on different decompositions of the global measures and provide different properties of the nodes. Local measures include entropic surprise, mutual surprise, mutual predictability, and erasure surprise. The proposed approach is evaluated using synthetic model networks and structural and functional human networks at different scales. Results demonstrate that the global measures can characterize new properties of the topology of a brain network and, in addition, for a given number of nodes, an optimal number of edges is found for small-world networks. Local measures show different properties of the nodes such as the uncertainty associated to the node, or the uniqueness of the path that the node belongs. Finally, the consistency of the results across healthy subjects demonstrates the robustness of the proposed measures.

Brain parcellation based on information theory.

BACKGROUND AND OBJECTIVE: In computational neuroimaging, brain parcellation methods subdivide the brain into individual regions that can be used to build a network to study its structure and function. Using anatomical or functional connectivity, hierarchical clustering methods aim to offer a meaningful parcellation of the brain at each level of granularity. However, some of these methods have been only applied to small regions and strongly depend on the similarity measure used to merge regions. The aim of this work is to present a robust whole-brain hierarchical parcellation that preserves the global structure of the network. METHODS: Brain regions are modeled as a random walk on the connectome. From this model, a Markov process is derived, where the different nodes represent brain regions and in which the structure can be quantified. Functional or anatomical brain regions are clustered by using an agglomerative information bottleneck method that minimizes the overall loss of information of the structure by using mutual information as a similarity measure. RESULTS: The method is tested with synthetic models, structural and functional human connectomes and is compared with the classic k-means. Results show that the parcellated networks preserve the main properties and are consistent across subjects. CONCLUSION: This work provides a new framework to study the human connectome using functional or anatomical connectivity at different levels.

A new e-learning platform for radiology education (RadEd).

One of the key elements of e-learning platforms is the content provided to the students. Content creation is a time demanding task that requires teachers to prepare material taking into account that it will be accessed on-line. Moreover, the teacher is restricted by the functionalities provided by the e-learning platforms. In contexts such as radiology where images have a key role, the required functionalities are still more specific and difficult to be provided by these platforms. Our purpose is to create a framework to make teacher's tasks easier, specially when he has to deal with contents where images have a main role. In this paper, we present RadEd, a new web-based teaching framework that integrates a smart editor to create case-based exercises that support image interaction such as changing the window width and the grey scale used to render the image, taking measurements on the image, attaching labels to images and selecting parts of the images, amongst others. It also provides functionalities to prepare courses with different topics, exercises and theory material, and also functionalities to control students' work. Different experts have used RadEd and all of them have considered it a very useful and valuable tool to prepare courses where radiological images are the main component. RadEd provides teachers functionalities to prepare more realistic cases and students the ability to make a more specific diagnosis.

Using a serious game to complement CPR instruction in a nurse faculty.

Cardiopulmonary resuscitation (CPR) is a first aid key survival technique used to stimulate breathing and keep blood flowing to the heart. Its effective administration can significantly increase the chances of survival for victims of cardiac arrest. LISSA is a serious game designed to complement CPR teaching and also to refresh CPR skills in an enjoyable way. The game presents an emergency situation in a 3D virtual environment and the player has to save the victim applying the CPR actions. In this paper, we describe LISSA and its evaluation in a population composed of 109 nursing undergraduate students enrolled in the Nursing degree of our university. To evaluate LISSA we performed a randomized controlled trial that compares the classical teaching methodology, composed of self-directed learning for theory plus laboratory sessions with a mannequin for practice, with the one that uses LISSA after self-directed learning for theory and before laboratory sessions with a mannequin. From our evaluation we observed that students using LISSA (Group 2 and 3) gave significantly better learning acquisition scores than those following traditional classes (Group 1). To evaluate the differences between students of these groups we performed a paired samples t-test between Group 1 and 2 (µ1=35, 67, µ2=47, 50 and p<0.05) and between students of Group 1 and 3 (µ1=35, 67, µ3=50, 58 and p<0.05). From these tests we observed that there are significant differences in both cases. We also evaluated student performance of main steps of CPR protocol. Students that use LISSA performed better than the ones that did not use it.

Increased corticospinal tract fractional anisotropy can discriminate stroke onset within the first 4.5 hours.

BACKGROUND AND PURPOSE: The role of diffusion tensor imaging in determining stroke age remains unclear. We tested the ability of diffusion tensor imaging metrics to discriminate ischemic stroke <4.5 hours of onset. METHODS: We enrolled 60 consecutive patients for multimodal 1.5 T MRI within 12 hours of middle cerebral artery ischemic stroke onset. We measured fractional anisotropy (FA), mean diffusivity (MD), apparent diffusion coefficient (ADC), and T2-weighted signal intensity in affected ipsilateral and unaffected contralateral deep gray matter, cortical gray matter, deep white matter in the corticospinal tract (CST), and subcortical white matter and calculated ipsilateral-to-contralateral ratios (r). Hyperintensity in infarcted tissue was considered fluid-attenuated inversion recovery-positive. RESULTS: We analyzed the 48 patients (17 women; mean age, 68 ± 14 years) with known onset. In 25 (52.1%) patients, onset was ≤ 4.5 hours (mean, 182.3 ± 65.6 minutes). Variables differing significantly between infarcts <4.5 hours and >4.5 hours were rFA CST (P = 0.001), rMD cortical gray matter (P = 0.036), rADC cortical gray matter (P = 0.009), rT2 CST (P = 0.006), and fluid-attenuated inversion recovery (P<0.001). rFA at CST was the most reliable to discriminate infarcts <4.5 hours (Goodman-Kruskal = 0.76). The sensitivity, specificity, and positive and negative predictive values for infarct <4.5 hours of onset by rFA at CST >0.970 were 93.8%, 84.6%, 88.2%, and 91.7%, respectively. CONCLUSIONS: These preliminary results suggest rFA at CST may be a surrogate marker of acute stroke age.