An integrated psychology virtual research ethics committee

Research and professional ethics are an integral part of every Psychology degree, as this is seen as a key graduate learning outcome for students leaving to become clinicians working with clients and patients. The development of these skills is embedded in teaching, but they culminate in the final year of a degree when final year students must gain formal ethical approval for their final research project. Decision as to the ethical appropriateness of research are made by a Departmental Research Ethics Committee, which considers all research project proposals submitted by staff and students within the department. One of the challenges of this practice is the scale of work involved for committee members (Doyle & Buckley, 2014) who are all faculty members, and the tracking of applications and decisions, alongside the quality assurance required to ensure that all applications are treated fairly and equally. The time involved in performing this work is often underestimated by Universities, and the variety and complexity of decisions requires extensive discussion and negotiation. Traditionally, these decisions are reached by committee discussions, however this presents logistical difficulties as it requires meetings with quorate attendance. The University of Westminster launched a virtual tool in 2014 to facilitate the management of the Research Ethics Committee, to help track the progress of applications and to allow discussions to occur and be managed virtually. The Department of Psychology adopted the tools in September 2014 to deal with all ethics applications. Here we report on how this virtual committee has affected the role and practices of a working committee that deals with over 300 applications per year, and how an online ethics procedure has facilitated an integrated developmental approach to ethical education.

Feasibility of MR-Based Body Composition Analysis in Large Scale Population Studies

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.