Application of Enhanced CT and Enhanced MRI Fusion Image in the Treatment of Primary Liver Cancer
Objective: To provide a decision-making opinion for the clinical selection of treatment options by comparing the preoperative enhanced CT and enhanced MRI scan images of liver transplantation for primary liver cancer with the tumor diameter measurement of postoperative gross
specimens. Methods: Nine patients with primary liver cancer who underwent liver transplantation from January 2017 to January 2018 were enrolled. The patients were not treated with local treatment before surgery. Previous imaging studies showed nodular liver cancer. 64-slice spiral CT
plain scan+three-stage enhanced scan, 3.0T superconducting MRI scan conventional plain scan, postoperative gross specimen anatomy, record tumor location, number, maximum diameter, compare different imaging techniques and postoperative gross specimens The coincidence rate of the maximum diameter
of the same tumor (according to the standard is the maximum diameter difference between the imaging and the gross specimen of the postoperative specimen ≤5 mm), the difference between the groups, and the correlation between the groups. Results: The maximum diameter of the same tumor
was measured. The coincidence rate between CT and postoperative gross specimens was 22%. The difference was statistically significant (P = −0.017), the correlation coefficient was 0.928, and the coincidence rate between MRI and postoperative gross specimen was 44%. The difference
was statistically significant (P = −0.010) and the correlation coefficient was 0.979. Conclusion: Image fusion technology with enhanced CT and enhanced MRI has changed the treatment decision of some patients with liver cancer, and it has certain value for optimizing treatment.
Keywords: Fusion Image; MRI; Primary Liver Cancer; Treatment
Document Type: Research Article
Affiliations: 1: Image Center of Tengzhou Central People’s Hospital, Shandong Province, 277500, China 2: Abbott Northwestern Hospital Critical Care Medicine, Minneapolis, Minnesota, 55488, USA
Publication date: 01 August 2020
- Journal of Medical Imaging and Health Informatics (JMIHI) is a medium to disseminate novel experimental and theoretical research results in the field of biomedicine, biology, clinical, rehabilitation engineering, medical image processing, bio-computing, D2H2, and other health related areas.
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