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.

Primary aldosteronism (PA) is the most common cause of secondary hypertension and increases the morbidity and mortality associated with cardiovascular diseases. When PA coexists with autonomous cortisol secretion (ACS), the cardiovascular risk increases significantly, especially in cases of bilateral adrenal adenomas with asymmetric hormone secretion, which poses diagnostic and therapeutic challenges. A 50-year-old female presented with hypertension and hypokalemia. PA was diagnosed based on elevated aldosterone levels, suppressed plasma renin activity, and the results of various dynamic endocrine tests. Imaging revealed bilateral adrenal adenomas, and adrenal venous sampling (AVS) confirmed aldosterone hypersecretion from the left adrenal gland and cortisol hypersecretion from both adrenal glands. The patient subsequently underwent left adrenalectomy, which resolved the aldosterone hypersecretion and normalized blood pressure and potassium levels. However, the cortisol hypersecretion persisted. This case highlights the importance of AVS in identifying the sources of hormone secretion and enabling targeted surgical treatment while avoiding bilateral adrenalectomy, which can lead to lifelong adrenal insufficiency. Comprehensive endocrine evaluation, including ACS assessment, in patients with PA is essential to help reduce the cardiovascular risks associated with PA and ACS and thus improve treatment outcomes.

Purpose: This study aimed to evaluate the impact of declining surgical residency program enrollment on patient care and outcomes in colorectal cancer surgeries. Methods: This retrospective observational study included 676 patients (410 males; median age: 69 years) who underwent colorectal cancer surgery at Pusan National University Hospital between January 2018 and June 2024. Patients were divided into Group A (before December 31, 2023; with residents) and Group B (after January 1, 2024; without residents). All surgeries were performed by a single attending surgeon. Results: Preoperative variables were comparable between groups. Group A had more emergency and open surgeries, and a higher proportion of advanced-stage cancers. Overall complication rates were similar, but Group B had a longer hospital stay (9.72 days vs. 11.95 days). Specific complications such as anastomotic leakage and surgical site infections differed significantly. The overall number of surgical procedures declined markedly in 2024 compared to 2018 (77.1% vs. 49.9%). Conclusion The absence of residents did not increase overall complication rates but was associated with longer hospital stays and shifts in clinical practice. Greater reliance on attending surgeons contributed to more defensive decision-making and conservative patient management. Addressing these issues requires systemic reforms, including multidisciplinary collaboration and legal protections to improve surgical care.

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.

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.

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.

Background: s/Aims: Hepatocellular carcinoma (HCC) is the sixth most common cancer and second leading cause of cancer-related deaths in South Korea. This study evaluated the characteristics of Korean patients newly diagnosed with HCC in 2016-2018. Methods: Data from the Korean Primary Liver Cancer Registry (KPLCR), a representative database of patients newly diagnosed with HCC in South Korea, were analyzed. This study investigated 4,462 patients with HCC registered in the KPLCR in 2016-2018. Results: The median patient age was 63 years (interquartile range, 55-72). 79.7% of patients were male. Hepatitis B infection was the most common underlying liver disease (54.5%). The Barcelona Clinic Liver Cancer (BCLC) staging system classified patients as follows: stage 0 (14.9%), A (28.8%), B (7.5%), C (39.0%), and D (9.8%). The median overall survival was 3.72 years (95% confidence interval, 3.47-4.14), with 1-, 3-, and 5-year overall survival rates of 71.3%, 54.1%, and 44.3%, respectively. In 2016-2018, there was a significant shift toward BCLC stage 0-A and Child-Turcotte-Pugh liver function class A (P<0.05), although survival rates did not differ by diagnosis year. In the treatment group (n=4,389), the most common initial treatments were transarterial therapy (31.7%), surgical resection (24.9%), best supportive care (18.9%), and local ablation therapy (10.5%). Conclusions Between 2016 and 2018, HCC tended to be diagnosed at earlier stages, with better liver function in later years. However, since approximately half of the patients remained diagnosed at an advanced stage, more rigorous and optimized HCC screening strategies should be implemented.

Primary aldosteronism (PA) is the most common cause of secondary hypertension and increases the morbidity and mortality associated with cardiovascular diseases. When PA coexists with autonomous cortisol secretion (ACS), the cardiovascular risk increases significantly, especially in cases of bilateral adrenal adenomas with asymmetric hormone secretion, which poses diagnostic and therapeutic challenges. A 50-year-old female presented with hypertension and hypokalemia. PA was diagnosed based on elevated aldosterone levels, suppressed plasma renin activity, and the results of various dynamic endocrine tests. Imaging revealed bilateral adrenal adenomas, and adrenal venous sampling (AVS) confirmed aldosterone hypersecretion from the left adrenal gland and cortisol hypersecretion from both adrenal glands. The patient subsequently underwent left adrenalectomy, which resolved the aldosterone hypersecretion and normalized blood pressure and potassium levels. However, the cortisol hypersecretion persisted. This case highlights the importance of AVS in identifying the sources of hormone secretion and enabling targeted surgical treatment while avoiding bilateral adrenalectomy, which can lead to lifelong adrenal insufficiency. Comprehensive endocrine evaluation, including ACS assessment, in patients with PA is essential to help reduce the cardiovascular risks associated with PA and ACS and thus improve treatment outcomes.

Purpose: This study aimed to evaluate the impact of declining surgical residency program enrollment on patient care and outcomes in colorectal cancer surgeries. Methods: This retrospective observational study included 676 patients (410 males; median age: 69 years) who underwent colorectal cancer surgery at Pusan National University Hospital between January 2018 and June 2024. Patients were divided into Group A (before December 31, 2023; with residents) and Group B (after January 1, 2024; without residents). All surgeries were performed by a single attending surgeon. Results: Preoperative variables were comparable between groups. Group A had more emergency and open surgeries, and a higher proportion of advanced-stage cancers. Overall complication rates were similar, but Group B had a longer hospital stay (9.72 days vs. 11.95 days). Specific complications such as anastomotic leakage and surgical site infections differed significantly. The overall number of surgical procedures declined markedly in 2024 compared to 2018 (77.1% vs. 49.9%). Conclusion The absence of residents did not increase overall complication rates but was associated with longer hospital stays and shifts in clinical practice. Greater reliance on attending surgeons contributed to more defensive decision-making and conservative patient management. Addressing these issues requires systemic reforms, including multidisciplinary collaboration and legal protections to improve surgical care.