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Search: WFRF:(Traut Alexander)

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  • Bethlehem, RAI, et al. (author)
  • Brain charts for the human lifespan
  • 2022
  • In: Nature. - : Springer Science and Business Media LLC. - 1476-4687 .- 0028-0836. ; 604:79057906, s. 525-
  • Journal article (peer-reviewed)abstract
    • Over the past few decades, neuroimaging has become a ubiquitous tool in basic research and clinical studies of the human brain. However, no reference standards currently exist to quantify individual differences in neuroimaging metrics over time, in contrast to growth charts for anthropometric traits such as height and weight1. Here we assemble an interactive open resource to benchmark brain morphology derived from any current or future sample of MRI data (http://www.brainchart.io/). With the goal of basing these reference charts on the largest and most inclusive dataset available, acknowledging limitations due to known biases of MRI studies relative to the diversity of the global population, we aggregated 123,984 MRI scans, across more than 100 primary studies, from 101,457 human participants between 115 days post-conception to 100 years of age. MRI metrics were quantified by centile scores, relative to non-linear trajectories2 of brain structural changes, and rates of change, over the lifespan. Brain charts identified previously unreported neurodevelopmental milestones3, showed high stability of individuals across longitudinal assessments, and demonstrated robustness to technical and methodological differences between primary studies. Centile scores showed increased heritability compared with non-centiled MRI phenotypes, and provided a standardized measure of atypical brain structure that revealed patterns of neuroanatomical variation across neurological and psychiatric disorders. In summary, brain charts are an essential step towards robust quantification of individual variation benchmarked to normative trajectories in multiple, commonly used neuroimaging phenotypes.
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  • Kannisto, Päivi, et al. (author)
  • Implementation of robot-assisted gynecologic surgery for patients with low and high BMI in a German gynecological cancer center.
  • 2014
  • In: Archives of Gynecology and Obstetrics. - : Springer Science and Business Media LLC. - 1432-0711 .- 0932-0067. ; 290:1, s. 143-148
  • Journal article (peer-reviewed)abstract
    • Purpose To present a single center outcome from an initial series of gynecological robotic cases with a special reference to obese patients. Methods A retrospective evaluation of 116 women, undergoing elective gynecologic robot-assisted surgery from February 2011 to December 2012. Procedures included hysterectomy (HE), radical HE, adnexectomy, myomectomy, pelvic lymphadenectomy and paraaortic lymphadenectomy, sentinel node extraction, and omentectomy. The feasibility and outcome were investigated in relation to normal and high body mass index (BMI < 30 and BMI ≥ 30). Results The overall complication rate was low (15/116; 12.9 %). The number of perioperative complications was not different between the patients with normal BMI compared to those with high BMI. Five operations were converted to open surgery due to vascular injury (2), intestinal injury (2) and one insufficiently exposed paraaortic field in an endometrial cancer patient. Urinary bladder was injured once. Late complications included vaginal dehisce (2), vaginal hemorrhage (1), cuff hematoma (4), lymphocyst (1) and two urinary tract injuries. The rate of the late complications was not significantly different in the two groups of patients (p = 0.139). A significant difference in patients’ positioning time was observed between normal weighted and obese patients (35 and 55 min, p < 0.001). Conclusion Robotic procedure was feasible and could be implemented for treating the first setting of mixed indications for gynecologic surgery. Robotic surgery may offer particular advantages in obese patients with no conversions and no wound complications.
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