Purpose: This study compared the diagnostic performance of quantitative ultrasonography (QUS) with that of conventional ultrasonography (US) in assessing hepatic steatosis among individuals undergoing health screening using magnetic resonance imaging–derived proton density fat fraction (MRI-PDFF) as the reference standard. Methods: This single-center prospective study enrolled 427 participants who underwent abdominal MRI and US. Measurements included the attenuation coefficient in tissue attenuation imaging (TAI) and the scatter-distribution coefficient in tissue scatter-distribution imaging (TSI). The correlation between QUS and MRI-PDFF was evaluated. The diagnostic capabilities of QUS, conventional B-mode US, and their combined models for detecting hepatic fat content of ≥5% (MRI-PDFF ≥5%) and ≥10% (MRI-PDFF ≥10%) were compared by analyzing the areas under the receiver operating characteristic curves. Additionally, clinical risk factors influencing the diagnostic performance of QUS were identified using multivariate linear regression analyses. Results: TAI and TSI were strongly correlated with MRI-PDFF (r=0.759 and r=0.802, respectively; both P<0.001) and demonstrated good diagnostic performance in detecting and grading hepatic steatosis. The combination of QUS and B-mode US resulted in the highest areas under the ROC curve (AUCs) (0.947 and 0.975 for detecting hepatic fat content of ≥5% and ≥10%, respectively; both P<0.05), compared to TAI, TSI, or B-mode US alone (AUCs: 0.887, 0.910, 0.878 for ≥5% and 0.951, 0.922, 0.875 for ≥10%, respectively). The independent determinants of QUS included skinliver capsule distance (β=7.134), hepatic fibrosis (β=4.808), alanine aminotransferase (β=0.202), triglyceride levels (β=0.027), and diabetes mellitus (β=3.710). Conclusion QUS is a useful and effective screening tool for detecting and grading hepatic steatosis during health checkups.

Objectives: . Although mandibular advancement device (MAD) treatment is effective for obstructive sleep apnea (OSA), some concerns remain regarding its potential therapeutic impact and side effects. Thus, we developed a novel MAD that auto-titrates depending on its position in patients with OSA. We conducted a clinical trial to determine the efficacy of an auto-titrating mandibular advancement device (AMAD) for treating OSA. Methods: . Fourteen patients diagnosed with OSA participated in this study. Polysomnography (PSG) was performed at the beginning of the clinical trial, and after 3 months of treatment, PSG with AMAD in situ was conducted. Results: . The mean scores for the Epworth Sleepiness Scale (ESS) and STOP-Bang were 8.21±4.21 and 5.00±1.00, respectively. After 3 months of AMAD treatment, the STOP-Bang scores improved to 3.75±1.06; however, the ESS scores did not show a significant change. Additionally, we observed statistically significant improvements in several respiratory parameters in the PSG data following AMAD treatment. These included reductions in the apnea-hypopnea index (AHI) (from 32.85±21.71 to 12.93±10.70), supine AHI (from 45.91±23.58 to 15.59±12.76), and lateral AHI (from 13.94±10.95 to 5.49±7.40). Improvements were also noted in the lowest O2 saturation (from 79.71±6.22 to 84.00± 5.71), total arousal number (from 191.14±112.07 to 86.57±48.80), and arousal index (from 33.76±21.00 to 15.05± 8.42). However, there were no significant changes in total sleep time, sleep efficiency, or mean oxygen saturation. Additionally, no major side effects were observed during treatment, specifically related to tooth or jaw pain. Conclusion . Our clinical trial found that AMAD improved PSG parameters and reduced the incidence of common side effects. Therefore, AMAD may be an effective alternative treatment for OSA.

Objectives: . Although mandibular advancement device (MAD) treatment is effective for obstructive sleep apnea (OSA), some concerns remain regarding its potential therapeutic impact and side effects. Thus, we developed a novel MAD that auto-titrates depending on its position in patients with OSA. We conducted a clinical trial to determine the efficacy of an auto-titrating mandibular advancement device (AMAD) for treating OSA. Methods: . Fourteen patients diagnosed with OSA participated in this study. Polysomnography (PSG) was performed at the beginning of the clinical trial, and after 3 months of treatment, PSG with AMAD in situ was conducted. Results: . The mean scores for the Epworth Sleepiness Scale (ESS) and STOP-Bang were 8.21±4.21 and 5.00±1.00, respectively. After 3 months of AMAD treatment, the STOP-Bang scores improved to 3.75±1.06; however, the ESS scores did not show a significant change. Additionally, we observed statistically significant improvements in several respiratory parameters in the PSG data following AMAD treatment. These included reductions in the apnea-hypopnea index (AHI) (from 32.85±21.71 to 12.93±10.70), supine AHI (from 45.91±23.58 to 15.59±12.76), and lateral AHI (from 13.94±10.95 to 5.49±7.40). Improvements were also noted in the lowest O2 saturation (from 79.71±6.22 to 84.00± 5.71), total arousal number (from 191.14±112.07 to 86.57±48.80), and arousal index (from 33.76±21.00 to 15.05± 8.42). However, there were no significant changes in total sleep time, sleep efficiency, or mean oxygen saturation. Additionally, no major side effects were observed during treatment, specifically related to tooth or jaw pain. Conclusion . Our clinical trial found that AMAD improved PSG parameters and reduced the incidence of common side effects. Therefore, AMAD may be an effective alternative treatment for OSA.

Purpose: This study compared the diagnostic performance of quantitative ultrasonography (QUS) with that of conventional ultrasonography (US) in assessing hepatic steatosis among individuals undergoing health screening using magnetic resonance imaging–derived proton density fat fraction (MRI-PDFF) as the reference standard. Methods: This single-center prospective study enrolled 427 participants who underwent abdominal MRI and US. Measurements included the attenuation coefficient in tissue attenuation imaging (TAI) and the scatter-distribution coefficient in tissue scatter-distribution imaging (TSI). The correlation between QUS and MRI-PDFF was evaluated. The diagnostic capabilities of QUS, conventional B-mode US, and their combined models for detecting hepatic fat content of ≥5% (MRI-PDFF ≥5%) and ≥10% (MRI-PDFF ≥10%) were compared by analyzing the areas under the receiver operating characteristic curves. Additionally, clinical risk factors influencing the diagnostic performance of QUS were identified using multivariate linear regression analyses. Results: TAI and TSI were strongly correlated with MRI-PDFF (r=0.759 and r=0.802, respectively; both P<0.001) and demonstrated good diagnostic performance in detecting and grading hepatic steatosis. The combination of QUS and B-mode US resulted in the highest areas under the ROC curve (AUCs) (0.947 and 0.975 for detecting hepatic fat content of ≥5% and ≥10%, respectively; both P<0.05), compared to TAI, TSI, or B-mode US alone (AUCs: 0.887, 0.910, 0.878 for ≥5% and 0.951, 0.922, 0.875 for ≥10%, respectively). The independent determinants of QUS included skinliver capsule distance (β=7.134), hepatic fibrosis (β=4.808), alanine aminotransferase (β=0.202), triglyceride levels (β=0.027), and diabetes mellitus (β=3.710). Conclusion QUS is a useful and effective screening tool for detecting and grading hepatic steatosis during health checkups.

Objectives: . Although mandibular advancement device (MAD) treatment is effective for obstructive sleep apnea (OSA), some concerns remain regarding its potential therapeutic impact and side effects. Thus, we developed a novel MAD that auto-titrates depending on its position in patients with OSA. We conducted a clinical trial to determine the efficacy of an auto-titrating mandibular advancement device (AMAD) for treating OSA. Methods: . Fourteen patients diagnosed with OSA participated in this study. Polysomnography (PSG) was performed at the beginning of the clinical trial, and after 3 months of treatment, PSG with AMAD in situ was conducted. Results: . The mean scores for the Epworth Sleepiness Scale (ESS) and STOP-Bang were 8.21±4.21 and 5.00±1.00, respectively. After 3 months of AMAD treatment, the STOP-Bang scores improved to 3.75±1.06; however, the ESS scores did not show a significant change. Additionally, we observed statistically significant improvements in several respiratory parameters in the PSG data following AMAD treatment. These included reductions in the apnea-hypopnea index (AHI) (from 32.85±21.71 to 12.93±10.70), supine AHI (from 45.91±23.58 to 15.59±12.76), and lateral AHI (from 13.94±10.95 to 5.49±7.40). Improvements were also noted in the lowest O2 saturation (from 79.71±6.22 to 84.00± 5.71), total arousal number (from 191.14±112.07 to 86.57±48.80), and arousal index (from 33.76±21.00 to 15.05± 8.42). However, there were no significant changes in total sleep time, sleep efficiency, or mean oxygen saturation. Additionally, no major side effects were observed during treatment, specifically related to tooth or jaw pain. Conclusion . Our clinical trial found that AMAD improved PSG parameters and reduced the incidence of common side effects. Therefore, AMAD may be an effective alternative treatment for OSA.

Purpose: This study compared the diagnostic performance of quantitative ultrasonography (QUS) with that of conventional ultrasonography (US) in assessing hepatic steatosis among individuals undergoing health screening using magnetic resonance imaging–derived proton density fat fraction (MRI-PDFF) as the reference standard. Methods: This single-center prospective study enrolled 427 participants who underwent abdominal MRI and US. Measurements included the attenuation coefficient in tissue attenuation imaging (TAI) and the scatter-distribution coefficient in tissue scatter-distribution imaging (TSI). The correlation between QUS and MRI-PDFF was evaluated. The diagnostic capabilities of QUS, conventional B-mode US, and their combined models for detecting hepatic fat content of ≥5% (MRI-PDFF ≥5%) and ≥10% (MRI-PDFF ≥10%) were compared by analyzing the areas under the receiver operating characteristic curves. Additionally, clinical risk factors influencing the diagnostic performance of QUS were identified using multivariate linear regression analyses. Results: TAI and TSI were strongly correlated with MRI-PDFF (r=0.759 and r=0.802, respectively; both P<0.001) and demonstrated good diagnostic performance in detecting and grading hepatic steatosis. The combination of QUS and B-mode US resulted in the highest areas under the ROC curve (AUCs) (0.947 and 0.975 for detecting hepatic fat content of ≥5% and ≥10%, respectively; both P<0.05), compared to TAI, TSI, or B-mode US alone (AUCs: 0.887, 0.910, 0.878 for ≥5% and 0.951, 0.922, 0.875 for ≥10%, respectively). The independent determinants of QUS included skinliver capsule distance (β=7.134), hepatic fibrosis (β=4.808), alanine aminotransferase (β=0.202), triglyceride levels (β=0.027), and diabetes mellitus (β=3.710). Conclusion QUS is a useful and effective screening tool for detecting and grading hepatic steatosis during health checkups.

Purpose: This study compared the diagnostic performance of quantitative ultrasonography (QUS) with that of conventional ultrasonography (US) in assessing hepatic steatosis among individuals undergoing health screening using magnetic resonance imaging–derived proton density fat fraction (MRI-PDFF) as the reference standard. Methods: This single-center prospective study enrolled 427 participants who underwent abdominal MRI and US. Measurements included the attenuation coefficient in tissue attenuation imaging (TAI) and the scatter-distribution coefficient in tissue scatter-distribution imaging (TSI). The correlation between QUS and MRI-PDFF was evaluated. The diagnostic capabilities of QUS, conventional B-mode US, and their combined models for detecting hepatic fat content of ≥5% (MRI-PDFF ≥5%) and ≥10% (MRI-PDFF ≥10%) were compared by analyzing the areas under the receiver operating characteristic curves. Additionally, clinical risk factors influencing the diagnostic performance of QUS were identified using multivariate linear regression analyses. Results: TAI and TSI were strongly correlated with MRI-PDFF (r=0.759 and r=0.802, respectively; both P<0.001) and demonstrated good diagnostic performance in detecting and grading hepatic steatosis. The combination of QUS and B-mode US resulted in the highest areas under the ROC curve (AUCs) (0.947 and 0.975 for detecting hepatic fat content of ≥5% and ≥10%, respectively; both P<0.05), compared to TAI, TSI, or B-mode US alone (AUCs: 0.887, 0.910, 0.878 for ≥5% and 0.951, 0.922, 0.875 for ≥10%, respectively). The independent determinants of QUS included skinliver capsule distance (β=7.134), hepatic fibrosis (β=4.808), alanine aminotransferase (β=0.202), triglyceride levels (β=0.027), and diabetes mellitus (β=3.710). Conclusion QUS is a useful and effective screening tool for detecting and grading hepatic steatosis during health checkups.

Purpose: This study compared the diagnostic performance of quantitative ultrasonography (QUS) with that of conventional ultrasonography (US) in assessing hepatic steatosis among individuals undergoing health screening using magnetic resonance imaging–derived proton density fat fraction (MRI-PDFF) as the reference standard. Methods: This single-center prospective study enrolled 427 participants who underwent abdominal MRI and US. Measurements included the attenuation coefficient in tissue attenuation imaging (TAI) and the scatter-distribution coefficient in tissue scatter-distribution imaging (TSI). The correlation between QUS and MRI-PDFF was evaluated. The diagnostic capabilities of QUS, conventional B-mode US, and their combined models for detecting hepatic fat content of ≥5% (MRI-PDFF ≥5%) and ≥10% (MRI-PDFF ≥10%) were compared by analyzing the areas under the receiver operating characteristic curves. Additionally, clinical risk factors influencing the diagnostic performance of QUS were identified using multivariate linear regression analyses. Results: TAI and TSI were strongly correlated with MRI-PDFF (r=0.759 and r=0.802, respectively; both P<0.001) and demonstrated good diagnostic performance in detecting and grading hepatic steatosis. The combination of QUS and B-mode US resulted in the highest areas under the ROC curve (AUCs) (0.947 and 0.975 for detecting hepatic fat content of ≥5% and ≥10%, respectively; both P<0.05), compared to TAI, TSI, or B-mode US alone (AUCs: 0.887, 0.910, 0.878 for ≥5% and 0.951, 0.922, 0.875 for ≥10%, respectively). The independent determinants of QUS included skinliver capsule distance (β=7.134), hepatic fibrosis (β=4.808), alanine aminotransferase (β=0.202), triglyceride levels (β=0.027), and diabetes mellitus (β=3.710). Conclusion QUS is a useful and effective screening tool for detecting and grading hepatic steatosis during health checkups.

Objectives: The prevalence of obstructive sleep apnea (OSA) and its association with perioperative comorbidities in patients who undergo bariatric surgery remain unclear in South Korea. We investigated the prevalence of OSA and its association with metabolic parameters in patients who underwent bariatric surgery. Methods: This retrospective study included 144 patients who underwent bariatric surgery; 98 patients underwent a sleep study and were included in this study. Patients were categorized into two groups based on the apnea-hypopnea index (AHI) cut-off value of 15/hour. Results: Overall, 52 (53.1%) of the patients showed an AHI ≥15/hour. The neck circumference was larger (43.0±4.7 cm vs. 40.5±3.6 cm, p=0.005) and prevalence of diabetes was higher (65.4% vs. 45.7%, p=0.049) in patients with AHI ≥15/hour than in those with AHI <15/hour. Furthermore, fasting blood glucose levels were higher (134.7±50.5 mg/dL vs. 114.8±34.3 mg/dL , p= 0.028) and serum high-density lipoprotein levels were lower (46.8±9.9 mg/dL vs. 52.8±13.3 mg/dL, p=0.013) in the AHI ≥15/hour than in the AHI <15/hour group. Conclusions More than 50% of patients who underwent bariatric surgery had moderate-to-severe OSA. The prevalence of metabolic comorbidities was higher in those with moderate-to-severe OSA than in those without. OSA screening may be useful for evaluation of the metabolic complications of morbid obesity.