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It is critical to quantitatively analyse the developing human fetal brain in order to fully understand neurodevelopment in both normal fetuses and those with congenital disorders. To facilitate this analysis, automatic multi-tissue fetal brain segmentation algorithms are needed, which in turn requires open datasets of segmented fetal brains. Here we introduce a publicly available dataset of 50 manually segmented pathological and non-pathological fetal magnetic resonance brain volume reconstructions across a range of gestational ages (20 to 33 weeks) into 7 different tissue categories (external cerebrospinal fluid, grey matter, white matter, ventricles, cerebellum, deep grey matter, brainstem/spinal cord). In addition, we quantitatively evaluate the accuracy of several automatic multi-tissue segmentation algorithms of the developing human fetal brain. Four research groups participated, submitting a total of 10 algorithms, demonstrating the benefits the dataset for the development of automatic algorithms., Scientific Data, 8 (1), ISSN:2052-4463

Background: Preferences and wishes of patients is an important indicator of primary health care provision, although there are differences between national primary care systems. Aim: The aim of this paper is to describe and evaluate the preferences and values of Hungarian primary care (PC) patients before accessing and to analyse their experiences after attending PC services. Methods: In the Hungarian arm of the European QUALICOPC Study, in 2013–2014, information was collected with questionnaires; the Patient Values contained 19 and the Patient Experiences had 41 multiple-choice questions. Findings: The questionnaires were filled by 2149 (840 men, 1309 women) using PC services, aged 49.1 (SD ± 16.7) years, 73% of them having chronic morbidities. Women preferred to be accompanied and rated their own health better. Patients in the lowest educational category and women visited their GPs more often, and they are consulted more frequently by other doctors as well. Men, older and secondary educated people reported more frequently chronic morbidities. Longer opening hours were preferred by patients with higher education. The most preferred expectations were availability and polite communication of doctors, not pressures on consultation time, clear instructions provided during consultations, shared decisions about treatments and options for consultations, the knowledge of the doctors concerning the living conditions, social and cultural backgrounds of patients, updated medical records, short waiting times, options for home visits, wide scope of professional competences and trust in the doctor. Conclusion: Wishes, preferences of patients and fulfilment were similar than described in other participating countries of the study. Although there are room to improve PC services, most of the questioned population were satisfied with the provision.

The application of brain atlas technique is not evident in the post-processing of MR images in patients with intracranial spaceoccupying lesions since brain structures are shifted...

Abstract: Introduction: Numerous beliefs have arisen in relation to the emigration of doctors. First of all, in most cases emigration has been attributed to, almost exclusively, low salaries. There are a number of non-financial issues that could possibly be more easily addressed. Method: In order to get closer to these issues, we sent out a 37-item questionnaire to doctors, who originally graduated from the University of Debrecen. Altogether 82 of them sent back the questionnaire. Results: The mean age at the time of emigration was 32 years. The most popular destination was the United States, however, many colleagues left for the US to do research, as well as clinical practice. Among the European countries, the most popular ones were Sweden, Germany, United Kingdom, Switzerland and Norway. The five most popular clinical specialties were general practice, internal medicine, anesthesiology/intensive care, laboratory/pathology and surgery. With respect to the planned duration of working abroad, at the time of emigration one-fourth of our colleagues planned very short (

Background: High incidences of silent cerebral ischemia (SCI) have been revealed by diffusion-weighted magnetic resonance imaging (DW MRI) after pulmonary vein isolation (PVI) for atrial fibrillation. A high number of mostly gaseous micro-embolic signals (MESs) was detected by transcranial Doppler (TCD) during PVI. In this investigation the possible relationship between MESs detected intraoperatively by TCD and new SCI on DW MRI post-ablation is reported. Methods: 27 consecutive atrial fibrillation patients (6 female, age median: 64 interquartile range: 13.23) undergoing PVI with the pulmonary vein ablation catheter, pre- and post-ablation DW MRI and intra­operative MES detection by TCD were included in the study. Procedures were performed on a therapeutic international normalized ratio (2–3) and with a target activated clotting time ≥ 350 s in all patients. DW MRI scans performed pre- and post-ablation revealed new SCI in 6 out of 27 (22%) patients. Results: The median (interquartile range) MES count recorded during the whole procedure was 1642 (912) in patients with and 1019 (529) in those without SCI (p = 0.129). The number of MESs recorded during pulmonary vein angiography was significantly higher in patients as compared to those without a new lesion on the post-ablation DW MRI: 257 (249) vs. 110 (71), respectively (p = 0.0009). On mul­tivariate logistic regression, the total MES count was predictive of SCI in patients older than 68 years. Conclusions: Micro-embolus generation detected by TCD during pulmonary vein angiography significantly correlates with new SCI on DW MRI post-ablation.

Aims. The purpose of the present study was to evaluate predictors of outcome in primary supratentorial cerebral haemorrhage. Furthermore, we aimed to develop a prognostic model to predict 30-day fatality.Methods. We retrospectively analyzed a database of 156 patients with spontaneous supratentorial haemorrhage to explore the relationship between clinical and CT characteristics and fatal outcome within 30 days using multiple logistic regression analysis. The analyzed factors included volumetric data assessed by neuropathological and CT volumetry. A second CT scan in survivors or neuropathological ABC/2 volumetry in nonsurvivors was used along with the baseline CT to assess the growth index of haematoma.Results. Systolic blood pressure, serum potassium and glucose levels, platelet count, absolute and relative haematoma volumes, and presence and size of intraventricular haemorrhage statistically significantly predicted the fatal outcome within 30 days. Based on our results we formulated a six-factor scoring algorithm named SUSPEKT to predict outcome.Conclusions. After validation the SUSPEKT score may be applicable in general clinical practice for early patient selection to optimize individual management or for assessment of eligibility for treatment trials.

In this paper we report the set-up and results of the Multimodal Brain Tumor Image Segmentation Benchmark (BRATS) organized in conjunction with the MICCAI 2012 and 2013 conferences. Twenty state-of-the-art tumor segmentation algorithms were applied to a set of 65 multi-contrast MR scans of low- and high-grade glioma patients - manually annotated by up to four raters - and to 65 comparable scans generated using tumor image simulation software. Quantitative evaluations revealed considerable disagreement between the human raters in segmenting various tumor sub-regions (Dice scores in the range 74%-85%), illustrating the difficulty of this task. We found that different algorithms worked best for different sub-regions (reaching performance comparable to human inter-rater variability), but that no single algorithm ranked in the top for all sub-regions simultaneously. Fusing several good algorithms using a hierarchical majority vote yielded segmentations that consistently ranked above all individual algorithms, indicating remaining opportunities for further methodological improvements. The BRATS image data and manual annotations continue to be publicly available through an online evaluation system as an ongoing benchmarking resource., National Center for Research Resources (U.S.) (P41-RR14075), National Institute of Biomedical Imaging and Bioengineering (U.S.) (R01EB013565), National Institute of Biomedical Imaging and Bioengineering (U.S.) (U54-EB005149), National Institutes of Health (U.S.) (P41-RR13218), National Institute of Biomedical Imaging and Bioengineering (U.S.) (P41-EB-015902), National Cancer Institute (U.S.) (R15CA115464)

The importance of primary care has already been recognized in the developed countries, where the structure and function of primary care is very heterogeneous. In the QUALICOPC study, the costs, quality and equity of primary care systems will be compared in the 34 participating countries. Representative samples of primary care practices were recruited in Hungary. An evaluation with questionnaire was performed in 222 practices on the work circumstances, conditions, competency and financial initiatives. Ten patients in each practice were also questioned by independent fieldworkers. In this work, the methodology and Hungarian experience are described. The final results of the international evaluation will be analyzed and published later. It is expected that data obtained from the QUALICOPC study may prove to be useful in health service planning and may be shared with policy makers. Orv. Hetil., 2012, 153, 1396–1400.