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1.
Journal of the Korean Radiological Society ; : 1575-1580, 2021.
Article in English | WPRIM | ID: wpr-916873

ABSTRACT

Cardiac tumors are rare diseases with various imaging findings. However, differentiating cardiac tumors based on imaging findings is challenging because of similarities in imaging features. We present two cases of cardiac tumors, including primary cardiac lymphoma and cardiac metastasis, in which the differential diagnosis was difficult.

2.
Korean Journal of Obesity ; : 19-23, 2016.
Article in English | WPRIM | ID: wpr-761642

ABSTRACT

BACKGROUND: It has not been determined which obesity index might be most appropriate to predict nonalcoholic fatty liver disease in Asian populations. This study aimed to evaluate the usefulness of the waist-to-height ratio in assessing patients with nonalcoholic fatty liver disease and to identify the optimal cut-off values useful for predicting nonalcoholic fatty liver disease. METHODS: Receiver operating characteristic curve analyses were conducted in order to assess the accuracy of the waist circumference, body mass index, and waist-to-height ratio for detecting nonalcoholic fatty liver disease among 616 women aged 20 years or older. To evaluate the optimal value of anthropometric indices, the Youden J-index (sensitivity+specificity-1) was used. RESULTS: The area under the ROC curve of waist-to-height ratio was highest among anthropometric obesity indices as follows: 0.776 (0.731-0.822) for waist circumference, 0.775 (0.728-0.822) for body mass index, and 0.792 (0.748-0.836) for waist-to-height ratio, respectively. Using a waist-to-height ration cut-off value of 0.49, the sensitivity and specificity for detecting nonalcoholic fatty liver disease were 72.3 % and 74.7%, respectively. CONCLUSION: These results demonstrated that the waist-to-height ratio may be a better obesity index for identifying individuals at risk for nonalcoholic fatty liver disease in Korean women.


Subject(s)
Female , Humans , Anthropometry , Asian People , Body Mass Index , Fatty Liver , Obesity , ROC Curve , Sensitivity and Specificity , Waist Circumference
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