Aljuaid Lamees A, Alblowi Mathayel A, Almary Sarah Yahya, Alshamrani Khalid M, Subahi Ahmad M
Department of Radiology Sciences, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah City, Saudi Arabia.
King Abdullah International Medical Research Center, Jeddah City, Saudi Arabia.
Adv Med Educ Pract. 2025 Aug 6;16:1351-1358. doi: 10.2147/AMEP.S530231. eCollection 2025.
Cross-sectional imaging modalities, such as Computed Tomography (CT) and Magnetic Resonance Imaging (MRI), are essential for accurate diagnoses in medical care. Therefore, a solid understanding of CT and MRI parameters is necessary to obtain good image quality with minimal risk to patients. Previous studies have showed a significant knowledge gap regarding CT and MRI parameters; thus, this study aimed to evaluate the effectiveness of university curricula and clinical practice in hospitals among undergraduate students and technologists in Jeddah.
Quantitative data were collected through a validated structured cross-sectional survey administered to a cluster sample of undergraduate students and radiographers in Jeddah. The survey consisted of 36 closed-ended multiple-choice questions. Eleven questions were related to CT parameters and 25 were associated with MRI parameters.
Normality tests revealed that both the CT and MRI scores were non-normally distributed (p = 0.0001). The Kruskal-Wallis test for the CT section yielded a p-value of 0.292, while all MRI sections also yielded p > 0.05 among the groups. Despite slight differences in knowledge scores across groups (3rd-year students, 4th-year students, internship students, radiographers, and others), internship students showed the highest mean CT knowledge scores. In terms of MRI scores, while the mean averages were similar across the groups, the technologists showed the lowest average standard deviation. These results could be attributed to the fact that the CT and MRI parameters were automated.
These findings indicate a variation in the knowledge levels of CT and MRI parameters within this sample. We recommend the implementation of an annual refresher course to enhance the quality of healthcare practices and radiology education programs.
计算机断层扫描(CT)和磁共振成像(MRI)等横断面成像方式对于医疗中的准确诊断至关重要。因此,扎实掌握CT和MRI参数对于以最小的患者风险获得良好的图像质量是必要的。先前的研究表明,在CT和MRI参数方面存在显著的知识差距;因此,本研究旨在评估吉达的本科生和技术人员中大学课程和医院临床实践的有效性。
通过对吉达的本科生和放射技师的整群样本进行经过验证的结构化横断面调查收集定量数据。该调查由36个封闭式多项选择题组成。11个问题与CT参数相关,25个与MRI参数相关。
正态性检验表明,CT和MRI分数均呈非正态分布(p = 0.0001)。CT部分的Kruskal-Wallis检验得出的p值为0.292,而所有MRI部分在各组之间也得出p>0.05。尽管各组之间的知识得分存在细微差异(三年级学生、四年级学生、实习学生、放射技师和其他人员),但实习学生的CT知识平均得分最高。就MRI分数而言,虽然各组的平均分数相似,但技术人员的平均标准差最低。这些结果可归因于CT和MRI参数是自动化的这一事实。
这些发现表明该样本中CT和MRI参数的知识水平存在差异。我们建议实施年度进修课程,以提高医疗实践和放射学教育项目的质量。