CT metal artefact reduction for hip and shoulder implants using novel algorithms and machine learning: A systematic review with pairwise and network meta-analyses.

Introduction: Many tools have been developed to reduce metal artefacts in computed tomography (CT) images resulting from metallic prosthesis; however, their relative effectiveness in preserving image quality is poorly understood. This paper reviews the literature on novel metal artefact reduction (MAR) methods targeting large metal artefacts in fan-beam CT to examine their effectiveness in reducing metal artefacts and effect on image quality.

Methods: The PRISMA checklist was used to search for articles in five electronic databases (MEDLINE, Scopus, Web of Science, IEEE, EMBASE).

Innovative Learning Activities to Prepare Radiography Students for Final-Year Clinical Placements: An Educational Perspective.

Introduction/background: The aim of this educational perspective is to describe a program of learning activities developed to prepare radiography students for final year clinical placements. Authors' reflections are integrated with student feedback to discuss the educational value and feasibility of implementing the activities presented.

Methods: A program of six components was developed: (1) Simulation-based learning, (2) clinical supervision, (3) tutorials and workshops, (4) medical imaging facility learning tours (5) lecture series and (6) journal club.

Effects of persistent organic pollutants on telomere dynamics are sex and age-specific in a wild long-lived bird.

Chemical pollution is a major man-made environmental threat to ecosystems and natural animal populations. Of concern are persistent organic pollutants (POPs), which can persist in the environment for many years. While bioaccumulating throughout the lives of wild animals, POPs can affect their health, reproduction, and survival.