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Introduction Multiple sclerosis (MS) causes a wide variety of symptoms. Loss of income due to sickness and early retirement comprise one-third of the total cost of MS in Australia. An intervention that maximises work productivity and keeps people with MS in the workforce for longer could provide a large societal cost saving and improve quality of life. The aim is to test the feasibility of delivering and evaluating a 10-week digitally delivered intervention called ‘MS WorkSmart’. Findings will provide insights into participant profiles and address key methodological and procedural uncertainties (recruitment, retention, intervention adherence and engagement, and selection of primary outcome) in preparation for a subsequent definitive trial.Methods and analysis A parallel-arm randomised controlled feasibility study, comparing those randomised to receive the MS WorkSmart package plus usual care (n=20) to those receiving usual care only (n=20). Australians with MS, aged 18–60 years, who are employed, and self-report work instability will be recruited from the Australian MS Longitudinal Study. Online surveys, at baseline and 1-month postintervention, will include MS-related work productivity loss and risk of job loss, MS work behaviour self-efficacy, health-related quality of life, fatigue severity, MS symptom impact on work, intention to retire due to MS, MS-related work difficulties, and awareness and readiness for change at work. Qualitative feedback will be obtained via a semistructured survey following the intervention (for participants) and via interviews (coaches). Analyses will be primarily descriptive and focus on the feasibility and acceptability of the intervention and study procedures. Progression criteria will guide decisions around whether to progress to a full trial.Ethics and dissemination The study has been approved by the University of Tasmania Human Research Ethics Committee (H0024544). Findings will be disseminated via publication in peer-reviewed journals, conference presentations and community presentations.Trial registration number ACTRN12622000826741.

With the arrival of disease-modifying drugs, neurodegenerative diseases will require an accurate diagnosis for optimal treatment. Convolutional neural networks are powerful deep learning techniques that can provide great help to physicians in image analysis. The purpose of this study is to introduce and validate a 3D neural network for classification of Alzheimer's disease (AD), frontotemporal dementia (FTD) or cognitively normal (CN) subjects based on brain glucose metabolism. Retrospective [18F]-FDG-PET scans of 199 CE, 192 FTD and 200 CN subjects were collected from our local database, Alzheimer's disease and frontotemporal lobar degeneration neuroimaging initiatives. Training and test sets were created using randomization on a 90 %-10 % basis, and training of a 3D VGG16-like neural network was performed using data augmentation and cross-validation. Performance was compared to clinical interpretation by three specialists in the independent test set. Regions determining classification were identified in an occlusion experiment and Gradient-weighted Class Activation Mapping. Test set subjects were age- and sex-matched across categories. The model achieved an overall 89.8 % accuracy in predicting the class of test scans. Areas under the ROC curves were 93.3 % for AD, 95.3 % for FTD, and 99.9 % for CN. The physicians' consensus showed a 69.5 % accuracy, and there was substantial agreement between them (kappa = 0.61, 95 % CI: 0.49–0.73). To our knowledge, this is the first study to introduce a deep learning model able to discriminate AD and FTD based on [18F]-FDG PET scans, and to isolate CN subjects with excellent accuracy. These initial results are promising and hint at the potential for generalization to data from other centers.

Summary: Metformin (MET) is the most prescribed antidiabetic drug, but its mechanisms of action remain elusive. Recent data point to the gut as MET’s primary target. Here, we explored the effect of MET on the gut glucose transport machinery. Using human enterocytes (Caco-2/TC7 cells) in vitro, we showed that MET transiently reduced the apical density of sodium-glucose transporter 1 (SGLT1) and decreased the absorption of glucose, without changes in the mRNA levels of the transporter. Administered 1 h before a glucose challenge in rats (Wistar, GK), C57BL6 mice and mice pigs, oral MET reduced the post-prandial glucose response (PGR). This effect was abrogated in SGLT1-KO mice. MET also reduced the luminal clearance of 2-(18F)-fluoro-2-deoxy-D-glucose after oral administration in rats. In conclusion, oral metformin transiently lowers post-prandial glucose response by reducing the apical expression of SGLT1 in enterocytes, which may contribute to the clinical effects of the drug.

Abstract Background Interstitial lung disease is a common complication of systemic sclerosis (SSc-ILD), and it remains difficult to accurately predict its course. Progressing ILD could be more metabolically active, suggesting that the 18F-FDG tracer could be a tool in the managing of SSc-ILD. Methods In our center, SSc patients and controls (non-Hodgkin lymphoma cured after first-line regimen) who had received a PET/CT were screened retrospectively. The FDG uptake (visual intensity, pattern, SUVmax) was systematically recorded in > 30 regions of interest (ROIs) linked to SSc in a blind reviewing by 2 independent nuclear medicine physicians using a standardized form. Results Among the 545 SSc patients followed up in our center, 36, including 22 SSc-ILDs, had a PET/CT, whose indication was cancer screening in most cases. The mean ± SD age was 57.9 ± 13.0 years with 20/36 females. Fourteen patients had a disease duration of less than 2 years. A third had anti-centromere antibodies and 27.8% had anti-topoisomerase antibodies. Pulmonary FDG uptakes were higher in SSc patients than in controls (n = 89), especially in those with ILD compared with those without ILD. Pulmonary FDG uptakes were positively correlated with the ILD severity (fibrosis extent, %FVC, and %DLCO). No significant difference was found in the FDG uptakes from extrathoracic ROIs. Progressing SSc-ILDs within the 2 years after PET/CT (n = 9) had significant higher pulmonary FDG uptakes at baseline than stable SSc-ILDs (n = 13). Conclusion PET/CT could be a useful tool in the assessment of the severity and the prediction of pulmonary function outcome of SSc-ILD.

Associating Liver Partition and Portal Vein Ligation for Staged Hepatectomy (ALPPS) has emerged as an alternative for patients with bilobar colorectal liver metastasis deemed unresectable due to inadequate future remnant liver (FRL). Nevertheless, high morbidity and mortality rates have been reported. In this setting, including hepatobiliary scintigraphy in the clinical and surgical management of patients offered ALPPS has been advocated to both assess eligibility for ALPPS stagel and suitable time for ALPPS stage2. Recently, it was stated that partial ALPPS with a liver split restricted to 50% of the transection line (or up to the middle hepatic vein in case of right extended hepatectomy) and a shortened stagel allows improving the postoperative course without precluding the inter-stages FRL hypertrophy. We describe a case series of p-ALPPS with stagel performed laparoscopically, including sequential assessments of the FRL volumes and functions via pre-stagel and pre-stage2 computed tomography volumetry and HIDA SPECT-scintigraphy. In five patients, laparoscopic p-ALPPS was associated with rapid and significant gain of remnant functional volume - much better than previously observed for ALPPS - facilitating early stage2 without inflammatory adherences. In conclusion, laparoscopic p-ALPPS is feasible and seems less aggressive than the original ALPPS technique with total transection. It may be an interesting alternative to the classical portal vein embolization (PVE) and two-stage hepatectomy strategy.