@article{MatuzBirbaumerHautzingeretal., author = {Matuz, Tamara and Birbaumer, Niels and Hautzinger, Martin and K{\"u}bler, Andrea}, title = {Psychosocial adjustment to ALS: a longitudinal study}, series = {Frontiers in Psychology}, volume = {6}, journal = {Frontiers in Psychology}, number = {1197}, issn = {1664-1078}, doi = {10.3389/fpsyg.2015.01197}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-190208}, abstract = {For the current study the Lazarian stress-coping theory and the appendant model of psychosocial adjustment to chronic illness and disabilities (Pakenham, 1999) has shaped the foundation for identifying determinants of adjustment to ALS. We aimed to investigate the evolution of psychosocial adjustment to ALS and to determine its long-term predictors. A longitudinal study design with four measurement time points was therefore, used to assess patients' quality of life, depression, and stress-coping model related aspects, such as illness characteristics, social support, cognitive appraisals, and coping strategies during a period of 2 years. Regression analyses revealed that 55\% of the variance of severity of depressive symptoms and 47\% of the variance in quality of life at T2 was accounted for by all the T1 predictor variables taken together. On the level of individual contributions, protective buffering, and appraisal of own coping potential accounted for a significant percentage in the variance in severity of depressive symptoms, whereas problem management coping strategies explained variance in quality of life scores. Illness characteristics at T2 did not explain any variance of both adjustment outcomes. Overall, the pattern of the longitudinal results indicated stable depressive symptoms and quality of life indices reflecting a successful adjustment to the disease across four measurement time points during a period of about two years. Empirical evidence is provided for the predictive value of social support, cognitive appraisals, and coping strategies, but not illness parameters such as severity and duration for adaptation to ALS. The current study contributes to a better conceptualization of adjustment, allowing us to provide evidence-based support beyond medical and physical intervention for people with ALS.}, language = {en} } @article{StrackPauliWeyers, author = {Strack, Fritz and Pauli, Paul and Weyers, Peter}, title = {Editorial: Emotion and Behavior}, series = {Frontiers in Psychology}, volume = {7}, journal = {Frontiers in Psychology}, number = {313}, issn = {1664-1078}, doi = {10.3389/fpsyg.2016.00313}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-190177}, abstract = {No abstract available.}, language = {en} } @article{EderRothermundHommel, author = {Eder, Andreas B. and Rothermund, Klaus and Hommel, Bernhard}, title = {Commentary: Contrasting motivational orientation and evaluative coding accounts: on the need to differentiate the effectors of approach/avoidance responses}, series = {Frontiers in Psychology}, volume = {7}, journal = {Frontiers in Psychology}, number = {163}, issn = {1664-1078}, doi = {10.3389/fpsyg.2016.00163}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-190141}, abstract = {A commentary on "Contrasting motivational orientation and evaluative coding accounts: on the need to differentiate the effectors of approach/avoidance responses" by Kozlik, J., Neumann, R., and Lozo, L. (2015). Front. Psychol. 6:563. doi: 10.3389/fpsyg.2015.00563}, language = {en} } @article{WidderBackhausWierlemannetal., author = {Widder, A. and Backhaus, J. and Wierlemann, A. and Hering, I. and Flemming, S. and Hankir, M. and Germer, C.-T. and Wiegering, A. and Lock, J. F. and K{\"o}nig, S. and Seyfried, F.}, title = {Optimizing laparoscopic training efficacy by 'deconstruction into key steps': a randomized controlled trial with novice medical students}, series = {Surgical Endoscopy}, volume = {36}, journal = {Surgical Endoscopy}, number = {12}, doi = {10.1007/s00464-022-09408-2}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-323969}, pages = {8726-8736}, abstract = {Background Simulator training is an effective way of acquiring laparoscopic skills but there remains a need to optimize teaching methods to accelerate learning. We evaluated the effect of the mental exercise 'deconstruction into key steps' (DIKS) on the time required to acquire laparoscopic skills. Methods A randomized controlled trial with undergraduate medical students was implemented into a structured curricular laparoscopic training course. The intervention group (IG) was trained using the DIKS approach, while the control group (CG) underwent the standard course. Laparoscopic performance of all participants was video-recorded at baseline (t0), after the first session (t1) and after the second session (t2) nine days later. Two double-blinded raters assessed the videos. The Impact of potential covariates on performance (gender, age, prior laparoscopic experience, self-assessed motivation and self-assessed dexterity) was evaluated with a self-report questionnaire. Results Both the IG (n = 58) and the CG (n = 68) improved their performance after each training session (p < 0.001) but with notable differences between sessions. Whereas the CG significantly improved their performance from t0 -t1 (p < 0.05), DIKS shortened practical exercise time by 58\% so that the IG outperformed the CG from t1 -t2, (p < 0.05). High self-assessed motivation and dexterity associated with significantly better performance (p < 0.05). Male participants demonstrated significantly higher overall performance (p < 0.05). Conclusion Mental exercises like DIKS can improve laparoscopic performance and shorten practice times. Given the limited exposure of surgical residents to simulator training, implementation of mental exercises like DIKS is highly recommended. Gender, self-assessed dexterity, and motivation all appreciably influence performance in laparoscopic training.}, language = {en} } @article{HabartaJordanMeffertetal., author = {Habarta, Johanna and Jordan, Martin and Meffert, Rainer and Huflage, Henner and Schmalzl, Jonas}, title = {Surgical management of a traumatic elbow dislocation with disruption of the brachial artery. Case report}, series = {Obere Extremit{\"a}t}, volume = {17}, journal = {Obere Extremit{\"a}t}, number = {4}, issn = {1862-6599}, doi = {10.1007/s11678-022-00686-9}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-323972}, pages = {267-271}, abstract = {Background Dislocations of the elbow are the second most common dislocations of humeral joints following the shoulder. Besides numerous possible concomitant injuries of the collateral ligaments or the extensor or flexor apparatus, an accompanying disruption of the brachial artery is a rare occurrence. In the following, such a case is presented and discussed. Method A 70-year-old woman sustained a closed posterior elbow dislocation with accompanying disruption of the brachial artery due to a fall in a domestic environment. Pulselessness of the radial artery led to a computed tomography angiography being performed, which confirmed the diagnosis. Direct operative vascular reconstruction with a vein insert was carried out. Due to strong swelling of the soft tissue, other examinations of the elbow could not be performed initially. A redislocation a few days later led to an operative stabilization of the elbow joint. Results The final consultation 4 months postoperatively showed a stable, centered elbow joint and a normal perfusion of the affected arm. The elbow function was good with a range of motion of 0/0/110° of extension/flexion. Conclusion An elbow dislocation is a complex injury. An accurate clinical examination of possible concomitant injuries is important and should be repeated in the first few days after the occurrence. Vascular reconstruction should be performed immediately. In the case of persistent joint instability, an operative stabilization is indicated and may be supported by a hinged external fixator.}, language = {en} } @article{BachfischerBarbosaRojasetal., author = {Bachfischer, Andreas and Barbosa, Martha Cecilia and Rojas, Angel Alberto Riveras and Bechler, Reinaldo and Schwienhorst-Stich, Eva-Maria and Kasang, Christa and Simmenroth, Anne and Parisi, Sandra}, title = {Implementing community based inclusive development for people with disability in Latin America: a mixed methods perspective on prioritized needs and lessons learned}, series = {International Journal for Equity in Health}, volume = {22}, journal = {International Journal for Equity in Health}, doi = {10.1186/s12939-023-01966-8}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357261}, abstract = {Background Research on the needs of people with disability is scarce, which promotes inadequate programs. Community Based Inclusive Development interventions aim to promote rights but demand a high level of community participation. This study aimed to identify prioritized needs as well as lessons learned for successful project implementation in different Latin American communities. Methods This study was based on a Community Based Inclusive Development project conducted from 2018 to 2021 led by a Columbian team in Columbia, Brazil and Bolivia. Within a sequential mixed methods design, we first retrospectively analyzed the project baseline data and then conducted Focus Group Discussions, together with ratings of community participation levels. Quantitative descriptive and between group analysis of the baseline survey were used to identify and compare sociodemographic characteristics and prioritized needs of participating communities. We conducted qualitative thematic analysis on Focus Group Discussions, using deductive main categories for triangulation: 1) prioritized needs and 2) lessons learned, with subcategories project impact, facilitators, barriers and community participation. Community participation was assessed via spidergrams. Key findings were compared with triangulation protocols. Results A total of 348 people with disability from 6 urban settings participated in the baseline survey, with a mean age of 37.6 years (SD 23.8). Out of these, 18 participated within the four Focus Group Discussions. Less than half of the survey participants were able to read and calculate (42.0\%) and reported knowledge on health care routes (46.0\%). Unemployment (87.9\%) and inadequate housing (57.8\%) were other prioritized needs across countries. Focus Group Discussions revealed needs within health, education, livelihood, social and empowerment domains. Participants highlighted positive project impact in work inclusion, self-esteem and ability for self-advocacy. Facilitators included individual leadership, community networks and previous reputation of participating organizations. Barriers against successful project implementation were inadequate contextualization, lack of resources and on-site support, mostly due to the COVID-19 pandemic. The overall level of community participation was high (mean score 4.0/5) with lower levels in Brazil (3.8/5) and Bolivia (3.2/5). Conclusion People with disability still face significant needs. Community Based Inclusive Development can initiate positive changes, but adequate contextualization and on-site support should be assured.}, language = {en} } @article{KrenzerHeilFittingetal., author = {Krenzer, Adrian and Heil, Stefan and Fitting, Daniel and Matti, Safa and Zoller, Wolfram G. and Hann, Alexander and Puppe, Frank}, title = {Automated classification of polyps using deep learning architectures and few-shot learning}, series = {BMC Medical Imaging}, volume = {23}, journal = {BMC Medical Imaging}, doi = {10.1186/s12880-023-01007-4}, url = {http://nbn-resolving.de/urn:nbn:de:bvb:20-opus-357465}, abstract = {Background Colorectal cancer is a leading cause of cancer-related deaths worldwide. The best method to prevent CRC is a colonoscopy. However, not all colon polyps have the risk of becoming cancerous. Therefore, polyps are classified using different classification systems. After the classification, further treatment and procedures are based on the classification of the polyp. Nevertheless, classification is not easy. Therefore, we suggest two novel automated classifications system assisting gastroenterologists in classifying polyps based on the NICE and Paris classification. Methods We build two classification systems. One is classifying polyps based on their shape (Paris). The other classifies polyps based on their texture and surface patterns (NICE). A two-step process for the Paris classification is introduced: First, detecting and cropping the polyp on the image, and secondly, classifying the polyp based on the cropped area with a transformer network. For the NICE classification, we design a few-shot learning algorithm based on the Deep Metric Learning approach. The algorithm creates an embedding space for polyps, which allows classification from a few examples to account for the data scarcity of NICE annotated images in our database. Results For the Paris classification, we achieve an accuracy of 89.35 \%, surpassing all papers in the literature and establishing a new state-of-the-art and baseline accuracy for other publications on a public data set. For the NICE classification, we achieve a competitive accuracy of 81.13 \% and demonstrate thereby the viability of the few-shot learning paradigm in polyp classification in data-scarce environments. Additionally, we show different ablations of the algorithms. Finally, we further elaborate on the explainability of the system by showing heat maps of the neural network explaining neural activations. Conclusion Overall we introduce two polyp classification systems to assist gastroenterologists. We achieve state-of-the-art performance in the Paris classification and demonstrate the viability of the few-shot learning paradigm in the NICE classification, addressing the prevalent data scarcity issues faced in medical machine learning.}, language = {en} }