Algorithms for computer-aided diagnosis of dementia based on structural MRI have demonstrated high performance in the literature, but are difficult to compare as different data sets and methodology were used for evaluation. In addition, it is unclear how the algorithms would perform on previously unseen data, and thus, how they would perform in clinical practice when there is no real opportunity to adapt the algorithm to the data at hand. To address these comparability, generalizability and clinical applicability issues, we organized a grand challenge that aimed to objectively compare algorithms based on a clinically representative multi-center data set. Using clinical practice as starting point, the goal was to reproduce the clinical diagnosis. Therefore, we evaluated algorithms for multi-class classification of three diagnostic groups: patients with probable Alzheimer’s disease, patients with mild cognitive impairment and healthy controls. The diagnosis based on clinical criteria was used as reference standard, as it was the best available reference despite its known limitations. For evaluation, a previously unseen test set was used consisting of 354 T1-weighted MRI scans with the diagnoses blinded. Fifteen research teams participated with in total 29 algorithms. The algorithms were trained on a small training set (n=30) and optionally on data from other sources (e.g., the Alzheimer’s Disease Neuroimaging Initiative, the Australian Imaging Biomarkers and Lifestyle flagship study of aging). The best performing algorithm yielded an accuracy of 63.0% and an area under the receiver-operating-characteristic curve (AUC) of 78.8%. In general, the best performances were achieved using feature extraction based on voxel-based morphometry or a combination of features that included volume, cortical thickness, shape and intensity. The challenge is open for new submissions via the web-based framework: http://caddementia.grand-challenge.org.

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Introduction: The importance of hydration is undoubtable but reliable data on hydration status and its relation with diet is lacking. Objectives: We aimed to evaluate the hydration status and its relation to beverages and food intake in children. Methods: A sample of 172 (50% male), 7-11 year-old children was included in this survey. Participants completed a 24 h urine collection; a 24 hours food recall corresponding to the day of urine collection was applied, weight and height were measured and parents/caregivers fi lled a lifestyle and socio-demographic questionnaire. The free water reserve was used to assess the hydration status. The intakes of food and beverages were compared according to hydration status using the t-test, Mann-Whitney test or unconditional regression models as appropriate. Results: More than half of the participants were classifi ed as hypohydrated or at risk of hypohydration (57% in girls and 58% in boys). Compared to hypohydrated children, a signifi cant higher consumption of water (276.2 ± 208.4 vs 188.2 ± 187.4 g/day) and fruit juices (77.6 ± 139.4 vs 14.4 ± 57.2 g/day) was reported by euhydrated boys and girls, respectively. Lower consumers of water and fruit juices showed a higher risk of hypohydration (OR = 2.16, 95% CI: 1.02-4.58, p = 0.045), adjusting for confounders. Conclusions: Most of the children included in this analysis were classifi ed as at risk of hypohydration and those with higher water and fruit juices consumption showed a better hydration status.

Obesity coupled with binge eating disorder (BED) is an increasing problem. Incorporation of treatment strategies that address both problems in people with comorbid symptoms is of major interest. This study aimed to investigate the feasibility and preliminary long-term outcomes of a brief emotion-focused cognitive behavioral therapy (EF-CBT) program. Seven out of 10 women with obesity and BED completed the intervention. Standardized outcome measures to assess the intensity of distress caused by complaints, psychological distress, emotional processing, eating behavior, and weight loss were completed at baseline, end-of-treatment, 6-and 18-month followups. Individualized outcome measures were also applied to describe the personal experiences during the intervention. Findings suggest the program's long-term efficacy for improving psychological distress, emotional processing, and alexithymia. Positive reliable changes in emotional processing and alexithymia were observed in almost all participants. The mean intensity of distress caused by complaints also decreased at the end of the intervention, with a large effect size (d = 0.89). Reliable changes in these outcome measures were observed at all time-points, despite the mean scores for the 18-month follow-up suggest a retraction in improvement. Weight loss was below expectations at all time-points, as were changes in emotional and external eating. Restrained eating mean scores remained stable throughout the study. Participants perceived the program to be useful in improving emotional awareness and eating control. Program feasibility was supported by the retention rate (70%) and the average number of attended sessions (M = 9.71; SD = 2.06). Further studies are needed to examine the effectiveness of EF-CBT interventions.

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