The mesentery is a structure comprising a double peritoneal layer that attaches the bowel to the abdominal wall. Mesenteric disease can cause various non-specific clinical symptoms in adults and is sometimes found incidentally during unrelated diagnostic imaging studies. CT plays an essential role in the diagnosis of mesenteric disease, which can present with various radiologic features, including a solid mass, cystic mass, or local or diffuse infiltration on CT. Some mesenteric diseases present with distinctive characteristics, while others share similar findings, thereby complicating their differential diagnosis. Therefore, understanding the radiological findings of mesenteric disease is important for accurate diagnosis and appropriate treatment.

BACKGROUND/OBJECTIVES: The Omega-3 Index (O3I), which is the total eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in erythrocytes as a percentage of total fatty acids (FAs), is associated with fish intake. O3I also varies with body mass index, age, sex, and dietary factors other than the intake of n-3 polyunsaturated fatty acids (PUFAs). This study examined the relationship between the dietary intake of total fat and FA classes, and O3I, specifically regarding EPA+DHA intake. SUBJECTS/METHODS: Data on dietary intake and serum FAs from 2,370 participants (1,192 males and 1,178 females) aged 18–79 yrs, collected during the 2011–2012 National Health and Nutrition Examination Survey, were used in this study. The O3I was estimated from the serum EPA+DHA content. RESULTS: In the total population, O3I showed an inverse correlation with the intake of total fat (r = -0.417), saturated FAs (SFAs; r = -0.423), and monounsaturated fatty acids (MUFAs; r = -0.412) (P < 0.01). Similar relationships were observed among males. However, in females, only SFA intake was correlated with O3I (r = -0.386, P < 0.05). In contrast, no correlation was observed between n-6 PUFA intake and O3I. Multivariable regression analysis also showed that a 1% increment in energy provided by total fat, SFA, and MUFA corresponded to reductions of 0.019, 0.055, and 0.035 units in O3I, respectively (P < 0.01). Both SFA and MUFA intakes mediated the negative relationship between total fat intake and O3I in the total population and males. However, MUFA were not significant mediators in women. CONCLUSION The intakes of total fat, SFA, and MUFA negatively influenced O3I, independent of n-3 PUFA intake.

BACKGROUND/OBJECTIVES: The Omega-3 Index (O3I), which is the total eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in erythrocytes as a percentage of total fatty acids (FAs), is associated with fish intake. O3I also varies with body mass index, age, sex, and dietary factors other than the intake of n-3 polyunsaturated fatty acids (PUFAs). This study examined the relationship between the dietary intake of total fat and FA classes, and O3I, specifically regarding EPA+DHA intake. SUBJECTS/METHODS: Data on dietary intake and serum FAs from 2,370 participants (1,192 males and 1,178 females) aged 18–79 yrs, collected during the 2011–2012 National Health and Nutrition Examination Survey, were used in this study. The O3I was estimated from the serum EPA+DHA content. RESULTS: In the total population, O3I showed an inverse correlation with the intake of total fat (r = -0.417), saturated FAs (SFAs; r = -0.423), and monounsaturated fatty acids (MUFAs; r = -0.412) (P < 0.01). Similar relationships were observed among males. However, in females, only SFA intake was correlated with O3I (r = -0.386, P < 0.05). In contrast, no correlation was observed between n-6 PUFA intake and O3I. Multivariable regression analysis also showed that a 1% increment in energy provided by total fat, SFA, and MUFA corresponded to reductions of 0.019, 0.055, and 0.035 units in O3I, respectively (P < 0.01). Both SFA and MUFA intakes mediated the negative relationship between total fat intake and O3I in the total population and males. However, MUFA were not significant mediators in women. CONCLUSION The intakes of total fat, SFA, and MUFA negatively influenced O3I, independent of n-3 PUFA intake.

BACKGROUND/OBJECTIVES: The Omega-3 Index (O3I), which is the total eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in erythrocytes as a percentage of total fatty acids (FAs), is associated with fish intake. O3I also varies with body mass index, age, sex, and dietary factors other than the intake of n-3 polyunsaturated fatty acids (PUFAs). This study examined the relationship between the dietary intake of total fat and FA classes, and O3I, specifically regarding EPA+DHA intake. SUBJECTS/METHODS: Data on dietary intake and serum FAs from 2,370 participants (1,192 males and 1,178 females) aged 18–79 yrs, collected during the 2011–2012 National Health and Nutrition Examination Survey, were used in this study. The O3I was estimated from the serum EPA+DHA content. RESULTS: In the total population, O3I showed an inverse correlation with the intake of total fat (r = -0.417), saturated FAs (SFAs; r = -0.423), and monounsaturated fatty acids (MUFAs; r = -0.412) (P < 0.01). Similar relationships were observed among males. However, in females, only SFA intake was correlated with O3I (r = -0.386, P < 0.05). In contrast, no correlation was observed between n-6 PUFA intake and O3I. Multivariable regression analysis also showed that a 1% increment in energy provided by total fat, SFA, and MUFA corresponded to reductions of 0.019, 0.055, and 0.035 units in O3I, respectively (P < 0.01). Both SFA and MUFA intakes mediated the negative relationship between total fat intake and O3I in the total population and males. However, MUFA were not significant mediators in women. CONCLUSION The intakes of total fat, SFA, and MUFA negatively influenced O3I, independent of n-3 PUFA intake.

BACKGROUND/OBJECTIVES: The Omega-3 Index (O3I), which is the total eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in erythrocytes as a percentage of total fatty acids (FAs), is associated with fish intake. O3I also varies with body mass index, age, sex, and dietary factors other than the intake of n-3 polyunsaturated fatty acids (PUFAs). This study examined the relationship between the dietary intake of total fat and FA classes, and O3I, specifically regarding EPA+DHA intake. SUBJECTS/METHODS: Data on dietary intake and serum FAs from 2,370 participants (1,192 males and 1,178 females) aged 18–79 yrs, collected during the 2011–2012 National Health and Nutrition Examination Survey, were used in this study. The O3I was estimated from the serum EPA+DHA content. RESULTS: In the total population, O3I showed an inverse correlation with the intake of total fat (r = -0.417), saturated FAs (SFAs; r = -0.423), and monounsaturated fatty acids (MUFAs; r = -0.412) (P < 0.01). Similar relationships were observed among males. However, in females, only SFA intake was correlated with O3I (r = -0.386, P < 0.05). In contrast, no correlation was observed between n-6 PUFA intake and O3I. Multivariable regression analysis also showed that a 1% increment in energy provided by total fat, SFA, and MUFA corresponded to reductions of 0.019, 0.055, and 0.035 units in O3I, respectively (P < 0.01). Both SFA and MUFA intakes mediated the negative relationship between total fat intake and O3I in the total population and males. However, MUFA were not significant mediators in women. CONCLUSION The intakes of total fat, SFA, and MUFA negatively influenced O3I, independent of n-3 PUFA intake.

BACKGROUND/OBJECTIVES: The Omega-3 Index (O3I), which is the total eicosapentaenoic acid (EPA) and docosahexaenoic acid (DHA) in erythrocytes as a percentage of total fatty acids (FAs), is associated with fish intake. O3I also varies with body mass index, age, sex, and dietary factors other than the intake of n-3 polyunsaturated fatty acids (PUFAs). This study examined the relationship between the dietary intake of total fat and FA classes, and O3I, specifically regarding EPA+DHA intake. SUBJECTS/METHODS: Data on dietary intake and serum FAs from 2,370 participants (1,192 males and 1,178 females) aged 18–79 yrs, collected during the 2011–2012 National Health and Nutrition Examination Survey, were used in this study. The O3I was estimated from the serum EPA+DHA content. RESULTS: In the total population, O3I showed an inverse correlation with the intake of total fat (r = -0.417), saturated FAs (SFAs; r = -0.423), and monounsaturated fatty acids (MUFAs; r = -0.412) (P < 0.01). Similar relationships were observed among males. However, in females, only SFA intake was correlated with O3I (r = -0.386, P < 0.05). In contrast, no correlation was observed between n-6 PUFA intake and O3I. Multivariable regression analysis also showed that a 1% increment in energy provided by total fat, SFA, and MUFA corresponded to reductions of 0.019, 0.055, and 0.035 units in O3I, respectively (P < 0.01). Both SFA and MUFA intakes mediated the negative relationship between total fat intake and O3I in the total population and males. However, MUFA were not significant mediators in women. CONCLUSION The intakes of total fat, SFA, and MUFA negatively influenced O3I, independent of n-3 PUFA intake.

Metastasis from extramammary malignancy to the breast is rare, and metastasis of cervical cancer to the breast is quite uncommon. We report atypical sonographic findings of a rapid growing, single, and circumscribed mass with complex cystic and solid echo pattern in a 50-year-old female. The mass confirmed a metastasis from cervical cancer. It is rare, but the possibility of breast metastasis should be considered when a rapidly growing breast mass is located in between the parenchyma and subcutaneous fat layer.

Objectives: This study evaluated the response in Daegu, Korea to the first wave of the coronavirus disease 2019 (COVID-19) pandemic according to a public health emergency response model. Methods: After an examination of the official data reported by the city of Daegu and the Korea Centers for Disease Control and Prevention, as well as a literature review and advisory meetings, we chose a response model. Daegu’s responses were organized into 4 phases and evaluated by applying the response model. Results: In phase 1, efforts were made to block further transmission of the virus through preemptive testing of a religious group. In phase 2, efforts were concentrated on responding to mass infections in high-risk facilities. Phase 3 involved a transition from a high-intensity social distancing campaign to a citizen participation–based quarantine system. The evaluation using the response model revealed insufficient systematic preparation for a medical surge. In addition, an incorporated health-related management system and protection measures for responders were absent. Nevertheless, the city encouraged the participation of private hospitals and developed a severity classification system. Citizens also played active roles in the pandemic response by practicing social distancing. Conclusions This study employed the response model to evaluate the early response in Daegu to the COVID-19 pandemic and revealed areas in need of improvement or maintenance. Based on the study results, creation of a systematic model is necessary to prepare for and respond to future public health emergencies like the COVID-19 pandemic.