Barriers to Maximizing MRI Benefits, The Role of Economic Hardship and Communication Gaps
DOI:
https://doi.org/10.59994/ajamts.2025.1.1Keywords:
Knee Disorders, MRI Overuse, Medical Waste Reduction, Treatment PlanningAbstract
The rising demand for MRI scans, particularly in knee imaging, presents significant challenges for medical centers due to the associated time and financial costs. This study aims to evaluate the actual benefits of MRI interventions on patient health outcomes and examine the utilization of diagnostic results in treatment planning based on MRI findings. We performed an observational study evaluating the medical records of 945 patients diagnosed with knee joint disorders who underwent MRI imaging between 2023 and 2024. The results of this study indicate that in 92% of the cases, where MRI was requested a cording to a proper scientific indication, MRI findings did not result in a meaningful influence on treatment decision-making. These findings highlight the importance of establishing a comprehensive health strategy and specific protocols for the use of MRI in patient evaluation—particularly for those with a high likelihood of requiring surgical intervention. Such protocols should account for patients’ implicit and pre-existing decisions regarding treatment. Additionally, health policies must prioritize the enhancement of communication between healthcare providers and patients, ensuring that patients are adequately informed about their condition, the rationale behind proposed medical procedures, and the potential health consequences of declining treatment. Furthermore, the results underscore the necessity of enforcing labor regulations that protect workers’ rights to medical leave and promote a supportive work environment that accommodates health-related changes in employees’ functional capacity.
References
[1] H. Zhang, Z. Zhao, F. Zhou, and X. Liu, “Evaluation of radiographic knee OA progression after arthroscopic meniscectomy compared with IACI for degenerative meniscus tear,” Sci. Rep., vol. 15, no. 1, p. 11538, Apr. 2025, doi: 10.1038/s41598-025-95649-9.
[2] T. Molloy, B. Gompels, and S. McDonnell, “Assessing diagnostic challenges in acute soft-tissue knee injuries,” Bone Jt. Open, vol. 5, no. 11, pp. 984–991, Nov. 2024, doi: 10.1302/2633-1462.511.BJO-2024-0159.R1.
[3] T. Wang, G. Xiong, L. Lu, J. Bernstein, and A. Ladd, “Musculoskeletal Education in Medical Schools: a Survey in California and Review of Literature,” Med. Sci. Educ., vol. 31, no. 1, pp. 131–136, Feb. 2021, doi: 10.1007/s40670-020-01144-3.
[4] Y. Wang et al., “Multitask learning for automatic detection of meniscal injury on 3D knee MRI,” J. Orthop. Res., vol. 43, no. 3, pp. 703–713, Mar. 2025, doi: 10.1002/jor.26024.
[5] F. von Rehlingen-Prinz et al., “Location of medial collateral ligament tears: introduction to a magnetic resonance imaging-based classification,” Skeletal Radiol., vol. 54, no. 4, pp. 851–860, Apr. 2025, doi: 10.1007/s00256-024-04747-8.
[6] M. Hjouj and M. S. Ahmad, “Reconstruction From Limited-Angle Projections Based on a Transformation,” in Proceedings of the 2022 5th International Conference on Digital Medicine and Image Processing, Nov. 2022, no. 1, pp. 19–23. doi: 10.1145/3576938.3576942.
[7] K. Kikuchi et al., “Novel anatomical findings of the superficial medial collateral ligament during knee flexion: Anatomical and histological findings,” Knee, vol. 54, pp. 244–253, Jun. 2025, doi: 10.1016/j.knee.2025.01.008.
[8] M. S. Ahmad, S. Shibat, and W. Bakri, “A Novel Timing Equation for Predicting Optimal Contrast Medium Enhancement in Abdomen CT Scan Procedure,” Ahliya J. Allied Medico-Technology Sci., vol. 1, no. 1, pp. 9–14, Jun. 2024, doi: 10.59994/ajamts.2024.1.9.
[9] M. S. Ahmad et al., “Hepatocellular carcinoma liver dynamic phantom for MRI,” Radiat. Phys. Chem., vol. 188, no. tourism, p. 109632, Nov. 2021, doi: 10.1016/j.radphyschem.2021.109632.
[10] He