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10 to 0.06 (4.5% decrease). Segmentation prediction maps were reconstructed to 3-dimensional volumes and scoliosis was measured in all patients. Measurement in these reconstructions took less than 1 minute and had a maximum error of 2.2° compared to X-ray. CONCLUSION automatic spine segmentation makes scoliosis measurement both efficient and accurate in tracked ultrasound scans. click here SIGNIFICANCE Automatic segmentation may overcome the limitations of tracked ultrasound that so far prevented its use as an alternative of X-ray in scoliosis measurement.Leadless Cardiac Pacemakers (LCP) have the potential to revolutionize Cardiac Rhythm Management (CRM). Current LCPs can only pace a single location of the heart limiting their use to patients requiring single-chamber stimulation. A Multi-node system of synchronized LCPs could be used in a significantly larger patient population. Synchronization using standard communication techniques involves high power consumption decreasing the longevity of the device. In this work, we investigate Galvanic Intra Body Communication (IBC) as a method to synchronize multi-node LCP systems. First, an accurate computational torso model was used for quasi-static simulations to estimate channel pathloss in the frequency range [40 kHz-20 MHz]. The model was then verified with in-vivo measurements using a novel experimental setup, where two LCP devices were placed in the right atrium, right ventricle and left ventricle. All channels involved in a potential multi-node LCP system were characterized. The orientation of the transducers relative to each other had a great impact on the results, with the attenuation level ranging between 55 dB and 70 dB between the best and worst orientations. The best results were achieved in the MHz range. Coupled with the fact that it does not require additional electrodes, this study suggests Galvanic IBC be superior to conventional communication methods for LCP devices. This analysis defines a methodology for galvanic IBC channel characterization for LCP systems, which is an important step for the design of efficient transceivers for IBC applications. More experiments with larger datasets are needed to bring this method to practice.We have noticed some errors in the above-titled paper (DOI 10.1109/TNSRE.2019.2944655) [1].In the above article [1], the name of the first author was misspelled. The correct name is Kriss Rozenstoks.In the above article [1], financial support was incorrectly published. The correct information is as follows This work was supported in part by the National Natural Science Foundation of China under Grant 61501330 and Grant 61771330, and in part by the Tianjin Municipal Special Program of Talents Development for Excellent Youth Scholars under Grant TJTZJH-QNBJRC-2-2.OBJECTIVES To determine and compare the effectiveness of history, physical examination, conventional radiography and magnetic resonance imaging (MRI) in the detection of sacroiliitis in juvenile spondyloarthropathies. METHODS One hundred and one patients with JSpA, 33 patients with other diseases and 24 children without rheumatologic complaints were included in the study. Subjects were evaluated using physical examination, laboratory findings, pelvic radiography and MRI. Abdominal or pelvic MRIs of 24 control patients who were obtained in the last 6 months were reevaluated and multivariate logistic regression analyses were used to calculate probability ratios of variables. RESULTS In our study, the rate of active sacroiliitis was 52.4% and in most of them, erosive and sclerotic changes indicating destruction of the sacroiliac joints were recorded. The presence of sacroiliitis on direct x-ray, high JSPADAI score, and hip involvement on MRI were independent risk factors with high predictive potential for active sacroiliitis. Inflammatory lumbar pain, sacroiliac tenderness, modified Schober's limitation, acute phase elevation, HLA-B27 positivity and presence of uveitis failed to predict sacroiliitis. The best specificity was 100% with a high BASFI score (>5), then 94% with a high JSPADAI score (>4). None of the patients in the control group showed active sacroiliitis. CONCLUSIONS All patients with possible JSpA should undergo sacroiliac MRI whether HLA-B27 positive or not. In this way, early diagnosis and treatment of axial joint involvement could be possible and it prevents unnecessary examination and loss of time.OBJECTIVES Systemic sclerosis (SSc) is characterised by microvascular inflammatory damage, loss of capillaries and progressive systemic fibrosis. Capillary rarefaction may precede sarcopenia, we therefore evaluated the body composition and occurrence of sarcopenia in SSc patients, in relation to the peripheral microcirculatory status, assessed and scored by nailfold videocapillaroscopy (NVC) patterns, including capillary number count and microangiopathy evolution score (MES). METHODS Body composition and bone mineral density were assessed by Dual X-ray absorptiometry and a dedicated software (GE Lunar, USA) in 43 SSc patients (age 64.1 ± 11.2 yrs, 83.7% women) affected by limited or diffuse cutaneous (74.4%) according to the 2013 EULAR/ACR criteria and 43 age-matched healthy subjects (HS). Sarcopenia was checked as relative skeletal muscle index (RSMI). Clinical, laboratory, body composition and bone parameters were analysed according to the different NVC patterns and MES. Means were compared by the Student's.0001, p less then 0.001, p=0.004, p=0.04, respectively). CONCLUSIONS SSc patients with sarcopenia and altered body composition were found affected by the most severe NVC pattern ("late"), a significantly reduced/altered number of capillaries and microvascular array (MES), suggesting a strong link between severity of local microvascular failure and associated muscle sufferance.OBJECTIVES Psychological factors and physical and emotional distress are frequently identified in fibromyalgia (FM). Previous reports have explored the relationship between some of these variables and functional disability and emotional distress in the disease; however, additional links with other potential psychological factors are unknown. This study aimed to assess the association between psychological variables and functional disability and emotional distress in individuals with FM. METHODS This prospective, cross-sectional cohort study included 251 FM patients aged over 18 years. Demographic and clinical characteristics and outcome measures were recorded for each participant. Multiple linear regression analysis was performed to identify associations between the psychological factors. RESULTS The findings suggest significant associations between psychological variables and physical impact and emotional distress (anxiety and depression) (all p-values less then 0.0001). Positive and negative affect, mindfulness, and perceived injustice were strongly associated with the physical and emotional impact (all p-values less then 0.