Incidentally detected gallbladder polyps (GBPs) and gallbladder wall thickening (GBWT) are frequently encountered in clinical practice. However, characterizing GBPs and GBWT in asymptomatic patients can be challenging and may result in overtreatment, including unnecessary follow-ups or surgeries. The Korean Society of Abdominal Radiology (KSAR) Clinical Practice Guideline Committee has developed expert recommendations that focus on standardized imaging interpretation and follow-up strategies for both GBPs and GBWT, with support from the Korean Society of Radiology and KSAR. These guidelines, which address 24 key questions, aim to standardize the approach for the interpretation of imaging findings, reporting, imaging-based workups, and surveillance of incidentally detected GBPs and GBWT. This recommendation promotes evidence-based practice, facilitates communication between radiologists and referring physicians, and reduces unnecessary interventions.

Background: Aerobic exercise training and drug therapy are well-established interventions for the prevention and treatment of hypertension and dyslipidemia. We investigated the synergistic effects of aerobic exercise and olmesartan/rosuvastatin on epicardial fat thickness (EFT) and endothelial function in patients with hypertension and dyslipidemia. Methods: A sample of 75 participants with hypertension and dyslipidemia was evaluated for multifactorial cardiovascular risk at baseline and at 6 months of intervention according to anthropometric and hemodynamic components, lipid profile, glycemia, brachial artery flow-mediated dilation (FMD), and EFT. After 3 months of drug therapy only, participants were allocated to one of three conditions: treadmill (n=22), exergame (n=29), or control (n=24). Results: After 12 weeks of drug therapy only, systolic and diastolic blood pressure (3% and 2%, both p<0.05), total cholesterol (6.3%, p<0.01), low-density lipoprotein cholesterol (4.9%, p<0.05), triglycerides (11.1%, p<0.05), fasting blood glucose (10.2%, p<0.01), and glycosylated hemoglobin (3%, p<0.01) were significantly reduced. After 12 weeks of combined aerobic exercise and drug therapy, both the treadmill and exergame groups showed a significant improvement in FMD (both p<0.001) and reduction in EFT (both p<0.001). Systolic and diastolic blood pressures decreased in the treadmill group only (1.9% and 2.7%, respectively, p<0.05). Conclusions Incorporating aerobic exercise into drug therapy regimens can yield synergistic effects, particularly in improving endothelial function and reducing EFT, providing a comprehensive approach to managing cardiovascular risk in patients with hypertension and dyslipidemia.

Background: Skipping breakfast is associated with an increased risk of chronic inflammatory diseases. This study aimed to examine the association between breakfast-eating habits and inflammation, using high-sensitivity C-reactive protein (hs-CRP) as a marker. Methods: A total of 4,000 Korean adult males with no history of myocardial infarction, angina, stroke, diabetes, rheumatoid arthritis, cancer, or current smoking were included. Data from the 2016–2018 Korea National Health and Nutrition Examination Survey were used for analysis. The frequency of breakfast consumption was assessed through a questionnaire item in the dietary survey section asking participants about their weekly breakfast consumption routines over the past year. Participants were categorized into two groups, namely “0–2 breakfasts per week” and “3–7 breakfasts per week”; hs-CRP concentrations were measured through blood tests. Results: Comparing between the “infrequent breakfast consumption (0–2 breakfasts per week)” and “frequent breakfast consumption (3–7 breakfasts per week)” groups, the mean hs-CRP was found to be significantly higher in the “infrequent breakfast consumption” group, even after adjusting for age, body mass index, physical activity, alcohol consumption, systolic blood pressure, blood pressure medication, fasting blood glucose, and triglycerides (mean hs-CRP: frequent breakfast consumption, 1.36±0.09 mg/L; infrequent breakfast consumption, 1.17±0.05 mg/L; P-value=0.036). Conclusion Less frequent breakfast consumption was associated with elevated hs-CRP levels. Further large-scale studies incorporating adjusted measures of daily eating patterns as well as food quality and quantity are required for a deeper understanding of the role of breakfast in the primary prevention of chronic inflammatory diseases.

Incidentally detected gallbladder polyps (GBPs) and gallbladder wall thickening (GBWT) are frequently encountered in clinical practice. However, characterizing GBPs and GBWT in asymptomatic patients can be challenging and may result in overtreatment, including unnecessary follow-ups or surgeries. The Korean Society of Abdominal Radiology (KSAR) Clinical Practice Guideline Committee has developed expert recommendations that focus on standardized imaging interpretation and follow-up strategies for both GBPs and GBWT, with support from the Korean Society of Radiology and KSAR. These guidelines, which address 24 key questions, aim to standardize the approach for the interpretation of imaging findings, reporting, imaging-based workups, and surveillance of incidentally detected GBPs and GBWT. This recommendation promotes evidence-based practice, facilitates communication between radiologists and referring physicians, and reduces unnecessary interventions.

Background: Aerobic exercise training and drug therapy are well-established interventions for the prevention and treatment of hypertension and dyslipidemia. We investigated the synergistic effects of aerobic exercise and olmesartan/rosuvastatin on epicardial fat thickness (EFT) and endothelial function in patients with hypertension and dyslipidemia. Methods: A sample of 75 participants with hypertension and dyslipidemia was evaluated for multifactorial cardiovascular risk at baseline and at 6 months of intervention according to anthropometric and hemodynamic components, lipid profile, glycemia, brachial artery flow-mediated dilation (FMD), and EFT. After 3 months of drug therapy only, participants were allocated to one of three conditions: treadmill (n=22), exergame (n=29), or control (n=24). Results: After 12 weeks of drug therapy only, systolic and diastolic blood pressure (3% and 2%, both p<0.05), total cholesterol (6.3%, p<0.01), low-density lipoprotein cholesterol (4.9%, p<0.05), triglycerides (11.1%, p<0.05), fasting blood glucose (10.2%, p<0.01), and glycosylated hemoglobin (3%, p<0.01) were significantly reduced. After 12 weeks of combined aerobic exercise and drug therapy, both the treadmill and exergame groups showed a significant improvement in FMD (both p<0.001) and reduction in EFT (both p<0.001). Systolic and diastolic blood pressures decreased in the treadmill group only (1.9% and 2.7%, respectively, p<0.05). Conclusions Incorporating aerobic exercise into drug therapy regimens can yield synergistic effects, particularly in improving endothelial function and reducing EFT, providing a comprehensive approach to managing cardiovascular risk in patients with hypertension and dyslipidemia.

Positional information plays a crucial role in embryonic pattern formation, yet its role in tooth development remains unexplored. In this study, we investigated the regional specification of lingual and buccal dental mesenchyme during tooth development. Tooth germs at the cap stage were dissected from mouse mandibles, and their lingual and buccal mesenchymal regions were separated for bulk RNA sequencing. Gene ontology analysis revealed that odontogenesis, pattern specification, and proliferation-related genes were enriched in the lingual mesenchyme, whereas stem cell development, mesenchymal differentiation, neural crest differentiation, and regeneration-related genes were predominant in the buccal mesenchyme. Reaggregation experiments using Wnt1^creERT/+; R26R^tdT/+ and WT mouse models demonstrated that lingual mesenchyme contributes to tooth formation, while buccal mesenchyme primarily supports surrounding tissues. Furthermore, only the lingual part of tooth germs exhibited odontogenic potential when cultured in vitro and transplanted under the kidney capsule. Bulk RNA transcriptomic analysis further validated the regional specification of the lingual and buccal mesenchyme. These findings provide novel insights into the molecular basis of positional information in tooth development and pattern formation.
Animals ; Mice ; Odontogenesis/genetics* ; Tooth Germ/cytology* ; Mesoderm/cytology* ; Cell Differentiation ; Mesenchymal Stem Cells ; Tooth/embryology*

Purpose: Early identification of patients at risk for acute respiratory failure (ARF) could help clinicians devise preventive strategies. Analyzing biosignals with artificial intelligence (AI) can uncover hidden information and variability within time series. We aimed to develop and validate AI models to predict ARF within 72 h after emergency department admission, primarily using highresolution biosignals collected within 4 h of arrival. Materials and Methods: Our AI model, built on convolutional recurrent neural networks, combines biosignal feature extraction and sequence modeling. The model was developed and internally validated with data from 5284 admissions [1085 (20.5%) positive for ARF], and externally validated using data from 144 admissions [7 (4.9%) positive for ARF] from another institution. We defined ARF as the application of advanced respiratory support devices. Results: Our AI model performed well in predicting ARF, achieving area under the receiver operating characteristic curve (AUROC) of 0.840 and 0.743 in internal and external validations, respectively. It outperformed the Modified Early Warning Score (MEWS) and XGBoost models built only with clinical variables. High predictive ability for mortality was observed, with AUROC up to 0.809. A 10% increase in AI prediction scores was associated with 1.44-fold and 1.42-fold increases in ARF risk and mortality risk, respectively, even after adjusting for MEWS and demographic variables. Conclusion Our AI model demonstrates high predictive accuracy and significant associations with clinical outcomes. Our AI model has the potential to promptly aid in triage decisions. Our study shows that using AI to analyze biosignals advances disease detection and prediction.

Incidentally detected gallbladder polyps (GBPs) and gallbladder wall thickening (GBWT) are frequently encountered in clinical practice. However, characterizing GBPs and GBWT in asymptomatic patients can be challenging and may result in overtreatment, including unnecessary follow-ups or surgeries. The Korean Society of Abdominal Radiology (KSAR) Clinical Practice Guideline Committee has developed expert recommendations that focus on standardized imaging interpretation and follow-up strategies for both GBPs and GBWT, with support from the Korean Society of Radiology and KSAR. These guidelines, which address 24 key questions, aim to standardize the approach for the interpretation of imaging findings, reporting, imaging-based workups, and surveillance of incidentally detected GBPs and GBWT. This recommendation promotes evidence-based practice, facilitates communication between radiologists and referring physicians, and reduces unnecessary interventions.

Background: Aerobic exercise training and drug therapy are well-established interventions for the prevention and treatment of hypertension and dyslipidemia. We investigated the synergistic effects of aerobic exercise and olmesartan/rosuvastatin on epicardial fat thickness (EFT) and endothelial function in patients with hypertension and dyslipidemia. Methods: A sample of 75 participants with hypertension and dyslipidemia was evaluated for multifactorial cardiovascular risk at baseline and at 6 months of intervention according to anthropometric and hemodynamic components, lipid profile, glycemia, brachial artery flow-mediated dilation (FMD), and EFT. After 3 months of drug therapy only, participants were allocated to one of three conditions: treadmill (n=22), exergame (n=29), or control (n=24). Results: After 12 weeks of drug therapy only, systolic and diastolic blood pressure (3% and 2%, both p<0.05), total cholesterol (6.3%, p<0.01), low-density lipoprotein cholesterol (4.9%, p<0.05), triglycerides (11.1%, p<0.05), fasting blood glucose (10.2%, p<0.01), and glycosylated hemoglobin (3%, p<0.01) were significantly reduced. After 12 weeks of combined aerobic exercise and drug therapy, both the treadmill and exergame groups showed a significant improvement in FMD (both p<0.001) and reduction in EFT (both p<0.001). Systolic and diastolic blood pressures decreased in the treadmill group only (1.9% and 2.7%, respectively, p<0.05). Conclusions Incorporating aerobic exercise into drug therapy regimens can yield synergistic effects, particularly in improving endothelial function and reducing EFT, providing a comprehensive approach to managing cardiovascular risk in patients with hypertension and dyslipidemia.

Purpose: Early identification of patients at risk for acute respiratory failure (ARF) could help clinicians devise preventive strategies. Analyzing biosignals with artificial intelligence (AI) can uncover hidden information and variability within time series. We aimed to develop and validate AI models to predict ARF within 72 h after emergency department admission, primarily using highresolution biosignals collected within 4 h of arrival. Materials and Methods: Our AI model, built on convolutional recurrent neural networks, combines biosignal feature extraction and sequence modeling. The model was developed and internally validated with data from 5284 admissions [1085 (20.5%) positive for ARF], and externally validated using data from 144 admissions [7 (4.9%) positive for ARF] from another institution. We defined ARF as the application of advanced respiratory support devices. Results: Our AI model performed well in predicting ARF, achieving area under the receiver operating characteristic curve (AUROC) of 0.840 and 0.743 in internal and external validations, respectively. It outperformed the Modified Early Warning Score (MEWS) and XGBoost models built only with clinical variables. High predictive ability for mortality was observed, with AUROC up to 0.809. A 10% increase in AI prediction scores was associated with 1.44-fold and 1.42-fold increases in ARF risk and mortality risk, respectively, even after adjusting for MEWS and demographic variables. Conclusion Our AI model demonstrates high predictive accuracy and significant associations with clinical outcomes. Our AI model has the potential to promptly aid in triage decisions. Our study shows that using AI to analyze biosignals advances disease detection and prediction.