2 resultados para Higgs boson, statistics, multivariate methods, ATLAS
em WestminsterResearch - UK
Resumo:
Introduction - Nutritional therapy (NT) is a bioscience-based branch of complementary and alternative medicine (CAM) with National Occupational Standards (NOS) and accredited training courses which include compulsory clinical training. Approximately 900 practitioners are registered with the voluntary regulator, the Complementary and Natural Healthcare Council (CNHC), but the number of unregulated practitioners is unknown. Cancer is a leading cause of death worldwide; nutrition and lifestyle factors may affect recurrence and survival rates. Many cancer patients and survivors seek individualised advice on diet and use of supplements and appropriately skilled nutritional therapy practitioners (NTP) may be well-placed to safely provide this advice. Little is known of NTPs’ perspectives on working with people affected by cancer; this study seeks to explore their views on training, use of evidence and other resources, to support the development of safe evidence-based practice in this important clinical area. Methods – An on-line anonymised questionnaire collected data from participants recruited from all UK registered NTPs. Recruitment was facilitated by the British Association for Applied Nutrition and Nutritional Therapy (BANT). Quantitative data on practitioner characteristics, years in practice, other therapies practiced and work with cancer clients were collected. Qualitative data on types of evidence used, barriers to practice and perceived training and support needs when working with clients with cancer, were collected and analysed. SPSS was used to produce descriptive statistics. Preliminary Results – 274/888 (31%) of registered NTPs participated. 61% respondents had accredited NT qualifications of which 46% were at degree or post-graduate level. 73% (202) participants indicated they also had other higher education qualifications, including 153 (56%) at degree or above. When asked to describe their position on cancer work, 17% respondents (40/238) indicated no interest, and 35% (84/238) respondents already work with cancer clients (cancer practitioners - CP). A further 48% (114/238) respondents expressed interest in starting cancer work, and typically requested specialist training and practice guidelines to support this area of clinical practice. Cancer practitioners (CP) rated searches of peer-reviewed literature as most useful for information to support practice, whereas commercial product information was rated least useful. CPs requested engagement with mainstream medicine, more access to research evidence and professional recognition to facilitate and support work with cancer clients. A need for professional networking, mentorship and/or supervision was noted by CP and non-CP respondents, which is of interest since 81% all participants worked as sole practitioners exclusively or as part of their practice, <1% worked within the NHS. Discussion & Conclusions – This is the first detailed documentation of NTP perspectives on cancer work. A number of areas have been identified for further detailed evidence to be collected using focus groups and interviews, including detailed training needs, communication with mainstream cancer professionals, access to research evidence, and professional recognition. This work will inform and support the development of professional practice guidelines for NT and inform the development of specialist training and other resources.
Resumo:
Introduction Quantitative and accurate measurements of fat and muscle in the body are important for prevention and diagnosis of diseases related to obesity and muscle degeneration. Manually segmenting muscle and fat compartments in MR body-images is laborious and time-consuming, hindering implementation in large cohorts. In the present study, the feasibility and success-rate of a Dixon-based MR scan followed by an intensity-normalised, non-rigid, multi-atlas based segmentation was investigated in a cohort of 3,000 subjects. Materials and Methods 3,000 participants in the in-depth phenotyping arm of the UK Biobank imaging study underwent a comprehensive MR examination. All subjects were scanned using a 1.5 T MR-scanner with the dual-echo Dixon Vibe protocol, covering neck to knees. Subjects were scanned with six slabs in supine position, without localizer. Automated body composition analysis was performed using the AMRA Profiler™ system, to segment and quantify visceral adipose tissue (VAT), abdominal subcutaneous adipose tissue (ASAT) and thigh muscles. Technical quality assurance was performed and a standard set of acceptance/rejection criteria was established. Descriptive statistics were calculated for all volume measurements and quality assurance metrics. Results Of the 3,000 subjects, 2,995 (99.83%) were analysable for body fat, 2,828 (94.27%) were analysable when body fat and one thigh was included, and 2,775 (92.50%) were fully analysable for body fat and both thigh muscles. Reasons for not being able to analyse datasets were mainly due to missing slabs in the acquisition, or patient positioned so that large parts of the volume was outside of the field-of-view. Discussion and Conclusions In conclusion, this study showed that the rapid UK Biobank MR-protocol was well tolerated by most subjects and sufficiently robust to achieve very high success-rate for body composition analysis. This research has been conducted using the UK Biobank Resource.