Related Experiment Video
Updated: Sep 11, 2025
Tracking the Mammary Architectural Features and Detecting Breast Cancer with Magnetic Resonance Diffusion Tensor Imaging
Published on: December 15, 2014
Evaluating the Knowledge of Computed Tomography and Magnetic Resonance Imaging Parameters Between Undergraduate
Lamees A Aljuaid1,2, Mathayel A Alblowi1,2, Sarah Yahya Almary1,2
1Department of Radiology Sciences, College of Applied Medical Sciences, King Saud bin Abdulaziz University for Health Sciences, Jeddah City, Saudi Arabia.
Introduction:
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.
Methods:
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.
Results:
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.
Conclusion:
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.
Related Concept Videos
01:27Imaging Studies III: Computed Tomography
01:10Computed Tomography
The technique was invented in the 1970s and is based on the principle that as X-rays pass through the body, they are absorbed or reflected at different levels. In the technique, a patient lies on a motorized platform while a computerized axial tomography (CAT) scanner rotates...
01:30Radiological Investigation II: MRI and Ventilation Perfusion Scan
Magnetic Resonance Imaging (MRI) and Ventilation Perfusion Scans are two radiological investigations that offer detailed diagnostic images of the body, particularly lung structures.
MRI
MRI uses magnetic fields and radiofrequency signals to distinguish between normal and abnormal tissues. This technology provides a more detailed diagnostic image than CT scans, enabling it to characterize pulmonary nodules, stage bronchogenic carcinoma, and evaluate inflammatory activity in...
01:14Imaging Studies I: CT and MRI
Description of the Procedures
Computed Tomography (CT) scan:
Computed Tomography (CT) scans use X-ray technology to generate detailed images of bones, organs, and tissues. During the scan, the patient lies on a moving table...
01:30Radiological Investigation I: X-ray and CT
01:27Imaging Studies IV: Magnetic Resonance Imaging