Exploring the use of knobology for image optimisation in final year sonography students

Author:

Mallard Samantha1,Kennedy Narelle2ORCID,Najafzadeh Abriz Afrooz3,Quinton Ann3

Affiliation:

1. Xray and Imaging, Maleny, Qld, Australia

2. Discipline of Obstetrics, Gynaecology and Neonatology, Sydney Medical School Nepean, University of Sydney, Nepean Hospital, Penrith, NSW, Australia

3. Medical Sonography School of Health, Medical and Applied Science, Central Queensland University, Perth, WA, Australia

Abstract

Introduction Image optimisation is essential for acquisition of quality images in ultrasound and critical to the diagnostic ability of the examination. These skills are taught to sonography students early in their education, but research has found that retention of non-rehearsed knowledge decreases significantly after a year. The aim of this study was to determine which optimisation tools (knobology) final year sonography students use, how often and why they chose to adjust parameters and assess barriers to optimisation of knobology tools. Methods A prospective study using data from an anonymous online survey of 34 final year sonography students. Results Survey results showed that 19/34 (55%) of students “frequently” optimise all Doppler settings and 23/34 (67%) of students “frequently” optimise basic parameter settings (depth, focus, time gain compensation). Time constraints (24/34 (70%)) and loss of gained knowledge of sonography principles and instrumentation (17/34 (50%)) were the major barriers to the use of knobology. The majority 28/34 (82%) believed they would benefit from further training. Conclusion This study demonstrates that although most students are optimising settings to improve image quality, sonography principles and instrumentation knowledge loss and time constraints prevent students from maximising machine capabilities. This study supports the need for further training prior to final year clinical placement.

Publisher

SAGE Publications

Subject

Radiology Nuclear Medicine and imaging,Radiological and Ultrasound Technology

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3