ObjectiveThe purpose of this exploratory study was to investigate whether a quantitative image analysis of the labyrinth in conventional magnetic resonance imaging (MRI) scans using a radiomics approach showed differences between patients with Ménière’s disease (MD) and the control group.Materials and methodsIn this retrospective study, MRI scans of the affected labyrinths of 24 patients with MD were compared to the MRI scans of labyrinths of 29 patients with an idiopathic asymmetrical sensorineural hearing loss. The 1.5- and 3-T MRI scans had been previously made in a clinical setting between 2008 and 2015. 3D Slicer 4.4 was used to extract several substructures of the labyrinth. A quantitative analysis of the normalized radiomic image features was performed in Mathematica 10. The image features of the two groups were statistically compared.ResultsFor numerous image features, there was a statistically significant difference (p-value <0.05) between the MD group and the control group. The statistically significant differences in image features were localized in all the substructures of the labyrinth: 43 in the anterior semicircular canal, 10 in the vestibule, 22 in the cochlea, 12 in the posterior semicircular canal, 24 in the horizontal semicircular canal, 11 in the common crus, and 44 in the volume containing the reuniting duct. Furthermore, some figures contain vertical or horizontal bands (three or more statistically significant image features in the same image feature). Several bands were seen: 9 bands in the anterior semicircular canal, 1 band in the vestibule, 3 bands in the cochlea, 0 bands in the posterior semicircular canal, 5 bands in the horizontal semicircular canal, 3 bands in the common crus, and 10 bands in the volume containing the reuniting duct.ConclusionIn this exploratory study, several differences were found in image features between the MD group and the control group by using a quantitative radiomics approach on high resolution T2-weighted MRI scans of the labyrinth. Further research should be aimed at validating these results and translating them in a potential clinical diagnostic method to detect MD in MRI scans.

Background Caloric restriction is an effective way to treat Type 2 diabetes (T2D). However, chronic and severe restriction of food intake is difficult to sustain and is known to promote slower metabolism. Intermittent and frequent fasting can exert similar metabolic effects, but may be even more challenging for most patients. A fasting-mimicking diet (FMD) is low in calories, sugars and proteins, but includes relatively high levels of plant based complex carbohydrates and healthy fats. The metabolic effects of such a diet mimic the benefits of water-only fasting. The effects of a FMD applied periodically in T2D patients are still unknown. The Fasting In diabetes Treatment (FIT) trial was designed to determine the effect of intermittent use (5 consecutive days a month during a year) of a FMD in T2D patients on metabolic parameters and T2D medication use compared to usual care. Methods One hundred T2D patients from general practices in the Netherlands with a BMI ≥ 27 kg/m2, treated with lifestyle advice only or lifestyle advice plus metformin, will be randomised to receive the FMD plus usual care or usual care only. Primary outcomes are HbA1c and T2D medication dosage. Secondary outcomes are anthropometrics, blood pressure, plasma lipid profiles, quality of life, treatment satisfaction, metabolomics, microbiome composition, MRI data including cardiac function, fat distribution and ectopic fat storage, cost-effectiveness, and feasibility in clinical practice. Discussion This study will establish whether monthly 5-day cycles of a FMD during a year improve metabolic parameters and/or reduce the need for medication in T2D. Furthermore, additional health benefits and the feasibility in clinical practice will be measured and a cost-effectiveness evaluation will be performed. Trial registration The trial was registered on ClinicalTrials.gov. Identifier: NCT03811587. Registered 21th of January, 2019; retrospectively registered.

Purpose This study investigated the feasibility of a new image analysis technique (radiomics) on conventional MRI for the computer-aided diagnosis of Menière’s disease. Materials and methods A retrospective, multicentric diagnostic case–control study was performed. This study included 120 patients with unilateral or bilateral Menière’s disease and 140 controls from four centers in the Netherlands and Belgium. Multiple radiomic features were extracted from conventional MRI scans and used to train a machine learning-based, multi-layer perceptron classification model to distinguish patients with Menière’s disease from controls. The primary outcomes were accuracy, sensitivity, specificity, positive predictive value, and negative predictive value of the classification model. Results The classification accuracy of the machine learning model on the test set was 82%, with a sensitivity of 83%, and a specificity of 82%. The positive and negative predictive values were 71%, and 90%, respectively. Conclusion The multi-layer perceptron classification model yielded a precise, high-diagnostic performance in identifying patients with Menière’s disease based on radiomic features extracted from conventional T2-weighted MRI scans. In the future, radiomics might serve as a fast and noninvasive decision support system, next to clinical evaluation in the diagnosis of Menière’s disease.

Context The effectiveness of intermittent energy restriction (IER) and periodic fasting (PF) in the management of type 2 diabetes (T2D) remains a subject of discussion. Objective The aim of this systematic review is to summarize current knowledge of the effects of IER and PF in patients with T2D on markers of metabolic control and the need for glucose-lowering medication. Data Sources PubMed, Embase, Emcare, Web of Science, Cochrane Library, CENTRAL, Academic Search Premier, Science Direct, Google Scholar, Wiley Online Library, and LWW Health Library were searched for eligible articles on March 20, 2018 (last update performed November 11, 2022). Studies that evaluated the effects of IER or PF diets in adult patients with T2D were included. Data Extraction This systematic review is reported according to PRISMA guidelines. Risk of bias was assessed through the Cochrane risk of bias tool. The search identified 692 unique records. Thirteen original studies were included. Data Analysis A qualitative synthesis of the results was constructed because the studies differed widely in terms of dietary interventions, study design, and study duration. Glycated hemoglobin (HbA1c) declined in response to IER or PF in 5 of 10 studies, and fasting glucose declined in 5 of 7 studies. In 4 studies, the dosage of glucose-lowering medication could be reduced during IER or PF. Two studies evaluated long-term effects (≥1 year after ending the intervention). The benefits to HbA1c or fasting glucose were generally not sustained over the long term. There are a limited number of studies on IER and PF interventions in patients with T2D. Most were judged to have at least some risk of bias. Conclusion The results of this systematic review suggest that IER and PF can improve glucose regulation in patients with T2D, at least in the short term. Moreover, these diets may allow for dosage reduction of glucose-lowering medication. Systematic Review Registration PROSPERO registration no. CRD42018104627.

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