Sensitivity of muscle and intervertebral disc force computations to variations in muscle attachment sites

Item does not contain fulltextThe current paper aims at assessing the sensitivity of muscle and intervertebral disc force computations against potential errors in modeling muscle attachment sites. We perturbed each attachment location in a complete and coherent musculoskeletal model of the human spine and quantified the changes in muscle and disc forces during standing upright, flexion, lateral bending, and axial rotation of the trunk. Although the majority of the muscles caused minor changes (less than 5%) in the disc forces, certain muscle groups, for example, quadratus lumborum, altered the shear and compressive forces as high as 353% and 17%, respectively. Furthermore, percent changes were higher in the shear forces than in the compressive forces. Our analyses identified certain muscles in the rib cage (intercostales interni and intercostales externi) and lumbar spine (quadratus lumborum and longissimus thoracis) as being more influential for computing muscle and disc forces. Furthermore, the disc forces at the L4/L5 joint were the most sensitive against muscle attachment sites, followed by T6/T7 and T12/L1 joints. Presented findings suggest that modeling muscle attachment sites based on solely anatomical illustrations might lead to erroneous evaluation of internal forces and promote using anatomical datasets where these locations were accurately measured. When developing a personalized model of the spine, certain care should also be paid especially for the muscles indicated in this work

Milestones of language development in Turkish children

Anlar, Banu/0000-0001-6727-6229WOS: 000330262000007PubMed: 24597105Objectives: Language delays are common in childhood, may be associated with delays in other areas of development, and can affect school performance. Various tests designed for general developmental screening or specifically for language are used to assess developmental status in preschool children. Knowledge of the probabilities of normal developmental milestones may simplify detection of problems and delays. The aim of this study was to determine the milestones of language development in Turkish children. Patients and methods: We assessed data from application of the Denver II Developmental Screening Test's Turkish standardization to 1,993 children, 976 (49.0%) boys and 1,017 (51.0%) girls aged 0.6-82.0 months. We used binary logistic regression to analyze the predicted probability of accomplishing the language items on the Denver II Developmental Screening Test. Results: We determined the sequence of assessed language items and the ages associated with accomplishing those items, as well as the ages at which 25, 50, 75, and 100% of children passed the items. Language items followed a sequential route. Graphs had polynomial slopes. Conclusion: Curves for normal development allow detection of aberrations in the predicted course of language development, and may facilitate earlier diagnosis of delays in language

Milestones of language development in Turkish children

Objectives: Language delays are common in childhood, may be associated with delays in other areas of development, and can affect school performance. Various tests designed for general developmental screening or specifically for language are used to assess developmental status in preschool children. Knowledge of the probabilities of normal developmental milestones may simplify detection of problems and delays. The aim of this study was to determine the milestones of language development in Turkish children

Evaluation of quality of life in fertile Turkish women with severe endometriosis

Kiykac Altinbas, Sadiman/0000-0003-2773-9641WOS: 000346300100013PubMed: 24960476We assessed the impact of pain, dysmenorrhoea and dyspareunia on the quality of life among Turkish fertile women with severe endometriosis. A total of 33 patients with histopathologically diagnosed severe endometriosis (Stage IV, revised criteria of the American Fertility Society (rAFS score) were enrolled into the study. Patients reported chronic pelvic pain using a visual analogue scale (VAS) and severity of dysmenorrhoea, dyspareunia and pelvic tenderness using the verbal rating scale (VRS). Quality of life (physical, psychological, social, environmental domains) was evaluated using the World Health Organization Quality of Life Assessment-BREF (WHOQOL-BREF). There were no correlations between quality of life and VRS and VAS scores of chronic pelvic pain in patients with dyspareunia (p > 0.05). VRS in patients with dysmenorrhoea negatively correlated with physical, social and environmental dimensions of quality of life (r = -0.382, r = -0.221, r = -0.373 and p = 0.028, p = 0.013, p = 0.033, respectively). Although the severity of dysmenorrhoea seems to be related with lower quality of life, chronic pelvic pain and dyspareunia due to endometriosis may not have any deleterious effects on the quality of life

Twente spine model: A complete and coherent dataset for musculo-skeletal modeling of the thoracic and cervical regions of the human spine.

Item does not contain fulltextMusculo-skeletal modeling could play a key role in advancing our understanding of the healthy and pathological spine, but the credibility of such models are strictly dependent on the accuracy of the anatomical data incorporated. In this study, we present a complete and coherent musculo-skeletal dataset for the thoracic and cervical regions of the human spine, obtained through detailed dissection of an embalmed male cadaver. We divided the muscles into a number of muscle-tendon elements, digitized their attachments at the bones, and measured morphological muscle parameters. In total, 225 muscle elements were measured over 39 muscles. For every muscle element, we provide the coordinates of its attachments, fiber length, tendon length, sarcomere length, optimal fiber length, pennation angle, mass, and physiological cross-sectional area together with the skeletal geometry of the cadaver. Results were consistent with similar anatomical studies. Furthermore, we report new data for several muscles such as rotatores, multifidus, levatores costarum, spinalis, semispinalis, subcostales, transversus thoracis, and intercostales muscles. This dataset complements our previous study where we presented a consistent dataset for the lumbar region of the spine (Bayoglu et al., 2017). Therefore, when used together, these datasets enable a complete and coherent dataset for the entire spine. The complete dataset will be used to develop a musculo-skeletal model for the entire human spine to study clinical and ergonomic applications