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The Application Value of Magnetic Resonance Imaging (MRI) in the Clinical Diagnosis in Hospital Management.
- Source :
-
Pakistan Journal of Medical Sciences . 2021 Special Issue, Vol. 37, p1710-1713. 4p. - Publication Year :
- 2021
-
Abstract
- Background & Objective: To evaluate the application value of dynamic enhanced magnetic resonance imaging (DCE-MRI) in the clinical diagnosis in hospital based on the fuzzy C-means clustering algorithm and conduct its cost-benefit analysis in practice. Methods: This study was conducted from October 11th 2020 to November 25, 2020. Eighteen patients with lung cancer confirmed by pathology were collected and examined by DCE-MRI one day before and one month after surgery using a fuzzy C-means clustering algorithm. And then, taking Guang'an District People's Hospital as an example, the present paper conducts the cost-benefit analysis with the utilization of net present value (NPV). Results: After 1-month review, eleven patients with effective treatment, four numerical Ktrans, Kep, Ve, Vp compared with preoperative decreased, which Ktrans, Kep, the change of the Ve was statistically significant (P < 0.05), the Vp of decline has no statistical significance (P > 0.05), the experimental and ineffective group after an operation, compared to four numerical Ktrans and Vp difference was statistically significant (P < 0.05), the corresponding AUC (area under the curve) to 1 and 0.818, the sensitivity of 100% and 85.7%, a specific degree of 100% and 72.7%. The NPV analysis results showed that the hospital could achieve profit and loss balance in the third year after purchasing MRI equipment and then gradually obtain positive cash inflow. Conclusion: The application of MRI in the Clinical Diagnosis helps hospital promote the therapeutic effect, thus having great practical value, and also contributes to increasing benefits in the long run. [ABSTRACT FROM AUTHOR]
Details
- Language :
- English
- ISSN :
- 1682024X
- Volume :
- 37
- Database :
- Academic Search Index
- Journal :
- Pakistan Journal of Medical Sciences
- Publication Type :
- Academic Journal
- Accession number :
- 151969704
- Full Text :
- https://doi.org/10.12669/pjms.37.6-WIT.4791