Another goal was to show the laminographic capabilities to distinguish between overlapping discontinuities. CTL is especially suitable for mobile inspection. Special glass fiber reinforced polymer samples (GRP) were manufactured for further analysis and comparisons between the abovementioned techniques. Finally, Phantoms 1 and 2 show the capability of laminography to detect overlapping indications and also show that discontinuities oriented perpendicular to the scan direction have the highest contrast sensitivity for laminographic measurements. Evaluation of a deep learning approach for the detection of meniscal tears and their characterization (presence/absence of migrated meniscal fragment). A large annotated adult knee MRI database was built combining medical expertise of radiologists and data scientists' tools. Coronal and sagittal proton density fat suppressed-weighted images of 11,353 knee MRI examinations (10,401 individual patients) paired with their standardized structured reports were retrospectively collected. After database curation, deep learning models were trained and validated on a subset of 8058 examinations. Algorithm performance was evaluated on a test set of 299 examinations reviewed by 5 musculoskeletal specialists and compared to general radiologists' reports. External validation was performed using the publicly available MRNet database. Receiver Operating Characteristic (ROC) curves results and Area Under the Curve (AUC) values were obtained on internal and external databases. A combined architecture of meniscal localization and lesion classification 3D convolutional neural networks reached AUC values of 0.93 (95% CI 0.82, 0.95) for medial and 0.84 (95% CI 0.78, 0.89) for lateral meniscal tear detection, and 0.91 (95% CI 0.87, 0.94) for medial and 0.95 (95% CI 0.92, 0.97) for lateral meniscal tear migration detection. External validation of the combined medial and lateral meniscal tear detection models resulted in an AUC of 0.83 (95% CI 0.75, 0.90) without further training and 0.89 (95% CI 0.82, 0.95) with fine tuning. Our deep learning algorithm demonstrated high performance in knee menisci lesion detection and characterization, validated on an external database. Our deep learning algorithm demonstrated high performance in knee menisci lesion detection and characterization, validated on an external database. Sleep problems are common in children and adolescents with chronic pain. The revised Adolescent Sleep-Wake Scale (rASWS) is an internationally well-established instrument to assess sleep quality in adolescents. So far, no German version is available. The study aimed to provide a validated German version of the rASWS, specifically for use in children and adolescents with chronic pain. The translated questionnaire was validated in a sample of N=159 pediatric outpatients with chronic pain (8-17 years; 65.4% female), who presented to a specialized pediatric pain center. For cross-validation a community sample of N=1348 school children was analyzed. Confirmatory factor analysis was conducted to examine the factor structure of the original 10-item 3-factor model in the sample of children and adolescents with chronic pain, which showed poor model fit. Model modifications were carried out by deleting 3 items with low factor loadings stepwise. The overall model fit of the final 3-factor model containing 7 items was excellent. Cronbach's α of the derived scales ranged from 0.74 to 0.86. Cross-validation in a community sample of school children confirmed the superiority of the 7-item model. The convergent validity of the measure was proved by moderate correlations between the rASWS and self-reported sleep problems. https://www.selleckchem.com/products/aticaprant.html Associations with chronic pain characteristics were evident for pain-related disability. The use of the 7-item version of the rASWS for German-speaking children and adolescents with and without chronic pain is recommended as a self-report measure of sleep quality. The use of the 7-item version of the rASWS for German-speaking children and adolescents with and without chronic pain is recommended as a self-report measure of sleep quality. The neural mechanisms of sleep beliefs and attitudes in primary insomnia (PI) patients at resting state remain unclear. The aim of this study was to investigate the features of regional homogeneity (ReHo) in PI using resting-state functional magnetic resonance imaging (rsfMRI). Thirty-two PI patients and 34 normal controls (NC) underwent rsfMRI using a 3T scanner at Tongde Hospital of Zhejiang Province. Participants were assessed with the Dysfunctional Beliefs and Attitudes about Sleep scale (DBAS-16) and Pittsburgh Sleep Quality Index (PSQI). Statistical analyses were performed to determine the regions in which ReHo differed between the two groups. Correlation analyses were performed between the ReHo index of each of these regions and DBAS-16 in PI patients. PI patients showed increased ReHo values in the right superior frontal gyrus, and decreased ReHo values in the left cerebellar gyrus, left inferior occipital gyrus (IOG) and left amygdala compared with those of NC. ReHo values in the left IOG were negatively correlated with total DBAS-16 scores, and scores for "consequences of insomnia" and"worry/helplessness about sleep"in PI patients. These results suggest that ReHo alterations in the left IOG may play an important role in the dysfunctional beliefs and attitudes about sleep in PI. These results suggest that ReHo alterations in the left IOG may play an important role in the dysfunctional beliefs and attitudes about sleep in PI. Rapid eye movement sleep behavior disorder (RBD) is frequent in dementia with Lewy bodies (DLB) and Parkinson's disease dementia (PDD), and poses a risk of injury to patients and their bed partners. We assessed the efficacy of nelotanserin, a selective 5-HT (2A) inverse agonist, for symptomatic treatment of RBD using systematic video analysis. This was a phase 2 multicenter study in DLB or PDD with video polysomnography (vPSG)-confirmed RBD. After a single-blind placebo run-in period, patients meeting eligibility criteria entered a 4-week double-blind treatment period (11 ratio with nelotanserin 80 mg/placebo). Whole-night vPSG was conducted during the run-in and at the end of the treatment period. Videos of all rapid eye movement (REM) sleep periods were analysed for RBD behaviors (movements and vocalizations) using the Innsbruck classification system by two of the central reviewers, and a third reviewer adjudicated ambiguous cases. 34 patients (N=26 DLB, N=8 PDD; 85.3% men; mean age 71.3±6.36 years) were included in the analyses.