Kuhn Meier (cellomist8)

t-related discomfort, both immediately and 24 h after injection. Scheduling diurnal active patients with stable circadian sleep/wake routine for afternoon BTA injections appears beneficial for decreasing treatment-related discomfort and potentially increase compliance to therapy.The purpose of this communication is to respond to the continuing invalid criticism by Lemmer and Middeke of the MAPEC and Hygia Chronotherapy Trial by emphasizing the (i) already unambiguously reported ambulatory blood pressure monitoring (ABPM)-based definition of hypertension utilized as the inclusion criterion of both investigations and (ii) impact of bedtime hypertension chronotherapy on ABPM-assessed parameters and cardiovascular disease (CVD) outcome for participants further categorized by influential markers of CVD risk. In so doing, we call attention to apparent unethical misconduct of Lemmer and Middeke of multiple duplicated publications of the very same unfounded criticisms.The objective of this study was to perform a systematic literature review and meta-analysis to understand the BMI differences between different genders working fixed day shifts and rotating shifts. The Pubmed, Medline, and Embase databases were searched using set keywords, thereby producing 42 studies. Study quality was assessed using appraisal criteria from the Joanna Briggs Institute (JBI), and meta-analysis was performed using Comprehensive Meta-Analysis Software (CMA) version 3. The indices were the means and standard deviations of BMI values from different genders working fixed day shifts and rotating shifts. The participants of the studies included a total of 43,193 individuals working rotating shifts and 185,875 individuals working fixed day shifts. The pooling effect size (SMD, standardized mean difference) presented was 0.19. The 95% confidence interval ranged from 0.10 to 0.281. The meta-regression analysis results showed that women had higher BMI values than men, the difference was statistically sihese results indicate that working rotating shifts exerts a greater impact on the BMI of women. Patient suitability for magnetic resonance-guided high intensity focused ultrasound (MRgHIFU) ablation of pelvic tumors is initially evaluated clinically for treatment feasibility using referral images, acquired using standard supine diagnostic imaging, followed by MR screening of potential patients lying on the MRgHIFU couch in a 'best-guess' treatment position. Existing evaluation methods result in ≥40% of referred patients being screened out because of tumor non-targetability. We hypothesize that this process could be improved by development of a novel algorithm for predicting tumor coverage from referral imaging. The algorithm was developed from volunteer images and tested with patient data. MR images were acquired for five healthy volunteers and five patients with recurrent gynaecological cancer. Subjects were MR imaged supine and in oblique-supine-decubitus MRgHIFU treatment positions. Body outline and bones were segmented for all subjects, with organs-at-risk and tumors also segmented for patients. Supine images were aligned with treatment images to simulate a treatment dataset. Target coverage (of patient tumors and volunteer intra-pelvic soft tissue), i.e. the volume reachable by the MRgHIFU focus, was quantified. Target coverage predicted from supine imaging was compared to that from treatment imaging. Mean (±standard deviation) absolute difference between supine-predicted and treatment-predicted coverage for 5 volunteers was 9 ± 6% (range 2-22%) and for 4 patients, was 12 ± 7% (range 4-21%), excluding a patient with poor acoustic coupling (coverage difference was 53%). Prediction of MRgHIFU target coverage from referral imaging appears feasible, facilitating further development of automated evaluation of patient suitability for MRgHIFU. Prediction of MRgHIFU target coverage from referral imaging appears feasible,