关键词: Diagnostic imaging Image interpretation Radiography Radiology

Mesh : Humans X-Rays Clinical Competence Radiography Allied Health Personnel Physical Examination

来  源:   DOI:10.1016/j.radi.2024.01.017

Abstract:
BACKGROUND: Image quality is an important factor in imaging optimisation and diagnosis. Many determinants of image quality are controlled by the radiographer; therefore, radiographer-led strategies may be key to improving X-ray image quality. This review examines the literature on radiographer-led diagnostic evaluation to establish its potential to improve X-ray image quality.
METHODS: The Preferred Reporting Items for Systematic Reviews and Meta-analyses Extension for Scoping Reviews and the Joanna Briggs Institute Manual for Evidence Synthesis Scoping Review were used to review studies relevant to the impact of radiographer-led diagnostic evaluation on image quality. CINHAL, Embase, Scopus, Web of Science and Medline databases were searched for relevant articles. Search terms synonymous with radiographer, commenting, and image quality were used and studies that examined any type of radiographer-led image interpretation and its relationship to image quality in X-ray based modalities were reviewed.
RESULTS: Fourteen studies that met the inclusion criteria were reviewed. All the studies reviewed unanimously reported a positive association between radiographer image interpretation and image quality in X-ray based modalities. Five emerging themes were identified to be responsible for the improvement in image quality: increased understanding of image quality requirements, improved technical skills, enhanced ability to utilise supplementary imaging and repeats, collaborative upskilling of colleagues, and a complementary interaction between diagnostic and radiographic skills that serves to enhance image quality.
CONCLUSIONS: The findings demonstrate that radiographer image interpretation is a useful strategy to optimise the quality of X-ray examinations.
CONCLUSIONS: The findings highlight a new avenue to improve X-ray quality in the clinical environment and support evidence-based uptake of preliminary image evaluation systems. These findings also support the integration of radiographer commenting alongside technical image quality in teaching curricula.
摘要:
背景:图像质量是成像优化和诊断的重要因素。图像质量的许多决定因素由射线照相师控制;因此,放射技师主导的策略可能是提高X射线图像质量的关键。这篇评论审查了有关放射线技师主导的诊断评估的文献,以确定其改善X射线图像质量的潜力。
方法:使用系统审查和Meta分析的首选报告项目扩展范围审查和JoannaBriggs研究所的证据综合范围审查手册来审查与射线照相医师主导的诊断评估对图像质量的影响相关的研究。CINHAL,Embase,Scopus,在WebofScience和Medline数据库中搜索相关文章。搜索词与放射技师同义,评论,使用和图像质量,并审查了检查任何类型的放射线摄影师主导的图像解释及其与基于X射线的模式中的图像质量的关系的研究。
结果:对符合纳入标准的14项研究进行综述。所有审查的研究都一致报道了X射线摄影图像解释与基于X射线的模态中的图像质量之间的正相关。确定了五个新兴主题,以负责图像质量的改善:增加对图像质量要求的理解,提高技术技能,增强利用补充成像和重复的能力,同事的协作技能提升,以及诊断和射线照相技能之间的互补相互作用,以提高图像质量。
结论:研究结果表明,射线照相图像解释是优化X射线检查质量的有用策略。
结论:这些发现突出了改善临床环境中X射线质量的新途径,并支持基于证据的初步图像评估系统的吸收。这些发现还支持将放射线照相师的注释与技术图像质量整合到教学课程中。
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