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http://dx.doi.org/10.5392/JKCA.2017.17.11.050

Evaluation of the Liver Cancer Diagnosis Function of PET-MRI Based on Decision Matrix Analysis  

Kim, Jin-Eui (동신대학교 방사선학과)
Kim, Jung-Soo (동남보건대학교 방사선과)
Choi, Nam-Gil (동신대학교 방사선학과)
Han, Jae-Bok (동신대학교 방사선학과)
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Abstract
To evaluate the capability of integrated PET-MRI, which has recently been utilized in the clinical practices, on the diagnosis of liver cancer, its utility was assessed by $2{\times}2$ decision matrix. The numbers of abnormal and normal decisions on the liver cancer were 98 and 51 cases, respectively, upon PET-MRI scan results of the subjects, and the numbers of positive and negative decisions were 103 and 62, respectively, upon cytopathologic results. Out of the two tests, 95 cases were shown as true-positive and 3 were false positive, while 62 were true negative and 5 were false negative. Upon the results of PET-MRI test, its sensitivity, specificity, false negative rate, and false positive rate were 95.00%, 95.38%, 0.05%, and 95.15%, respectively. Therefore, it is considered to have the high potential to use the determination of the stage before the surgery, detections of recurrence and remote metastasis, assessment of uncertain remote lymph node metastasis, and so on in the diagnosis of the liver cancer, and also for the clinical utility of PET-MRI to be sufficient by integrated diagnosis and follow up scan with pathological studies.
Keywords
Decision Matrix; PET-MRI; Liver Cancer; Diagnosis Function;
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