Medical Image Optimisation and Perception Group, Discipline of Medical Imaging Science, Susan Wakil Health Building, Western Ave, Camperdown, NSW, 2050, Australia.
Medical Image Optimisation and Perception Group, Discipline of Medical Imaging Science, Susan Wakil Health Building, Western Ave, Camperdown, NSW, 2050, Australia.
Radiography (Lond). 2024 Mar;30(2):641-650. doi: 10.1016/j.radi.2024.01.017. Epub 2024 Feb 9.
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.
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.
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.
The findings demonstrate that radiographer image interpretation is a useful strategy to optimise the quality of X-ray examinations.
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.
图像质量是成像优化和诊断的一个重要因素。许多图像质量的决定因素都由放射技师控制；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。本综述考察了放射技师主导的诊断评估文献，以确定其改善 X 射线图像质量的潜力。
使用《系统评价和荟萃分析扩展的首选报告项目》和《乔安娜·布里格斯研究所证据综合综述手册》对与放射技师主导的诊断评估对图像质量的影响相关的研究进行综述。CINHAL、Embase、Scopus、Web of Science 和 Medline 数据库搜索了相关文章。使用了与放射技师、评论和图像质量同义的搜索词，并审查了检查任何类型的放射技师主导的图像解释及其与 X 射线成像方式的图像质量之间关系的研究。
综述了符合纳入标准的 14 项研究。所有综述的研究都一致报告放射技师的图像解释与 X 射线成像方式的图像质量之间存在正相关关系。确定了五个新出现的主题，这些主题负责提高图像质量：对图像质量要求的理解增加、技术技能提高、增强利用补充成像和重复的能力、同事的协作技能提升、以及诊断和放射技能之间的互补互动，有助于提高图像质量。
研究结果表明，放射技师的图像解释是优化 X 射线检查质量的有用策略。
研究结果突显了改善临床环境中 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采用。这些结果还支持在教学课程中整合放射技师的评论和技术图像质量。
