Systematic mapping of the variability in cortical sulcal anatomy is an area of increasing interest which presents numerous methodological challenges. To address these issues, we have implemented sulcal extraction and assisted labeling (SEAL) to automatically extract the two-dimensional (2-D) surface ribbons that represent the median axis of cerebral sulci and to neuroanatomically label these entities. To encode the extracted three-dimensional (3-D) cortical sulcal schematic topography (CSST) we define a relational graph structure composed of two main features: vertices (representing sulci) and arcs (representing the relationships between sulci). Vertices contain a parametric representation of the surface ribbon buried within the sulcus. Points on this surface are expressed in stereotaxic coordinates (i.e., with respect to a standardized brain coordinate system). For each of these vertices, we store length, depth, and orientation as well as anatomical attributes (e.g., hemisphere, lobe, sulcus type, etc.). Each arc stores the 3-D location of the junction between sulci as well as a list of its connecting sulci. Sulcal labeling is performed semiautomatically by selecting a sulcal entity in the CSST and selecting from a menu of candidate sulcus names. In order to help the user in the labeling task, the menu is restricted to the most likely candidates by using priors for the expected sulcal spatial distribution. These priors, i.e., sulcal probabilistic maps, were created from the spatial distribution of 34 sulci traced manually on 36 different subjects. Given these spatial probability maps, the user is provided with the likelihood that the selected entity belongs to a particular sulcus. The cortical structure representation obtained by SEAL is suitable to extract statistical information about both the spatial and the structural composition of the cerebral cortical topography. This methodology allows for the iterative construction of a successively more complete statistical models of the cerebral topography containing spatial distributions of the most important structures, their morphometrics, and their structural components.

IntroductionHead injury is a leading cause of mortality in Africa. We characterise the epidemiology and outcomes of head injury at an Ethiopian emergency centre.MethodsWe conducted a prospective cohort study of all head injured patients presenting to the Emergency Centre of Tikur Anbessa Specialised Hospital, Addis Ababa. Data was collected via a standardised form from the patient’s chart, radiology reports and operative reports. Patients were followed until discharge, facility transfer, death, or 7 days in hospital. Consent was obtained from the patient or substitute decision maker.ResultsAmong 204 head injured patients enrolled, the majority were <30 years old (51.0%) and male (86.8%). Forty-one percent of injuries occurred from road traffic accidents (RTAs). A significant number of patients had at least one indicator of severe injury on presentation: 51 (25.0%) had a GCS < 9, 53 (26.0%) had multi-system trauma, 95 (46.6%) had ≥1 abnormal vital sign and of the 133 patients with data available, 37 (27.8%) had a Revised Trauma Score (RTS) < 6. Patients injured by RTA were more likely to have indicators of severe injury than other mechanisms, including multi-system trauma (OR 3.2, 95% CI 1.7–6.2, p = 0.00), GCS < 9 (OR 3.7, 95% CI 1.8–7.4, p = 0.00), ≥1 abnormal vital sign (OR 2.5, 95% CI 1.4–4.6, p = 0.00) or an RTS score < 6 (OR 3.6, 95% CI 1.6–8.1, p = 0.00). Overall, 149 (73.0%) patients were discharged from hospital, 34 (16.7%) were transferred to another hospital, and 21 patients died (10.3%). In multivariable analysis, death was significantly associated with age over 60 years (aOR 68.8, 95% CI 2.0–2329.0, p = 0.02), GCS < 9 (aOR 14.8, 95% CI 2.2–99.5, p = 0.01), fixed bilateral pupils (aOR 39.1, 95% CI 4.2–362.8, p < 0.01) and hypoxia (oxygen saturation <90%; aOR 14.2%, 95% CI 2.6–123.9, p = 0.01).ConclusionHead injury represents a significant risk for morbidity and mortality in Ethiopia, of which RTA’s increase injury severity. Targeted approaches to improving care of the injured may improve outcomes.

BackgroundMédecins Sans Frontières (MSF), a medical humanitarian organization, began using store-and-forward telemedicine in 2010. The aim of the present study was to describe the experience of developing a telemedicine service in low-resource settings.MethodsWe studied the MSF telemedicine service during the period from 1st July 2010 until 30th June 2017. There were three consecutive phases in the development of the service, which we compared. We also examined the results of a quality assurance program which began in 2013.ResultsDuring the study period, a total of 5646 telemedicine cases were submitted. The workload increased steadily, and the median referral rate rose from 2 to 18 cases per week. The number of hospitals submitting cases and the number of cases per hospital also increased, as did the case complexity. Despite the increased workload, the allocation time reduced from 0.9 to 0.2 hours, and the median time to answer a case decreased from 20 to 5 hours. The quality assurance scores were stable. User feedback was generally positive and more than 90% of referrers who provided a progress report about their case stated that it had been sent to an appropriate specialist, that the response was sufficiently quick and that the teleconsultation provided an educational benefit. Referrers noted a positive impact of the system on patient outcome in 39% of cases.ConclusionsThe quality of the telemedicine service was maintained despite rising caseloads. The study showed that offering direct specialist expertise in low-resource settings improved the management of patients and provided additional educational value to the field physicians, thus bringing further benefits to other patients.