Radiation-induced cavernous malformations (RICMs) are rare but significant late complications of highdose radiation therapy, particularly in young survivors of brain tumors. This report presents two cases of RICMs following aggressive multimodal treatment, including surgery, chemotherapy, and radiation therapy. Case 1 was a 22-year-old male patient with medulloblastoma treated with craniospinal irradiation, tumor bed boost, and tandem autologous peripheral blood stem cell transplantation. Approximately 8 years after treatment completion, routine follow-up imaging revealed a small focal hemorrhage in the right cerebellum, consistent with an RICM. The lesion was asymptomatic and managed conservatively with regular imaging, showing spontaneous resolution over time, with a significant size reduction noted 9 years post-treatment. Case 2 describes a 32-year-old male with an intracranial germinoma treated with whole-ventricular irradiation. Three years after treatment, the patient developed a symptomatic hemorrhagic RICM near a pre-existing developmental venous anomaly. Surgical resection and Gamma Knife Surgery stabilized the lesion; however, residual symptoms, including tremors and gait disturbances, persisted, affecting the patient’s daily activities. These cases illustrate the diverse clinical courses of RICMs, ranging from spontaneous resolution to the necessity of surgical intervention, and emphasize the importance of long-term surveillance and tailored management strategies for late-onset complications.

Radiation-induced cavernous malformations (RICMs) are rare but significant late complications of highdose radiation therapy, particularly in young survivors of brain tumors. This report presents two cases of RICMs following aggressive multimodal treatment, including surgery, chemotherapy, and radiation therapy. Case 1 was a 22-year-old male patient with medulloblastoma treated with craniospinal irradiation, tumor bed boost, and tandem autologous peripheral blood stem cell transplantation. Approximately 8 years after treatment completion, routine follow-up imaging revealed a small focal hemorrhage in the right cerebellum, consistent with an RICM. The lesion was asymptomatic and managed conservatively with regular imaging, showing spontaneous resolution over time, with a significant size reduction noted 9 years post-treatment. Case 2 describes a 32-year-old male with an intracranial germinoma treated with whole-ventricular irradiation. Three years after treatment, the patient developed a symptomatic hemorrhagic RICM near a pre-existing developmental venous anomaly. Surgical resection and Gamma Knife Surgery stabilized the lesion; however, residual symptoms, including tremors and gait disturbances, persisted, affecting the patient’s daily activities. These cases illustrate the diverse clinical courses of RICMs, ranging from spontaneous resolution to the necessity of surgical intervention, and emphasize the importance of long-term surveillance and tailored management strategies for late-onset complications.

Radiation-induced cavernous malformations (RICMs) are rare but significant late complications of highdose radiation therapy, particularly in young survivors of brain tumors. This report presents two cases of RICMs following aggressive multimodal treatment, including surgery, chemotherapy, and radiation therapy. Case 1 was a 22-year-old male patient with medulloblastoma treated with craniospinal irradiation, tumor bed boost, and tandem autologous peripheral blood stem cell transplantation. Approximately 8 years after treatment completion, routine follow-up imaging revealed a small focal hemorrhage in the right cerebellum, consistent with an RICM. The lesion was asymptomatic and managed conservatively with regular imaging, showing spontaneous resolution over time, with a significant size reduction noted 9 years post-treatment. Case 2 describes a 32-year-old male with an intracranial germinoma treated with whole-ventricular irradiation. Three years after treatment, the patient developed a symptomatic hemorrhagic RICM near a pre-existing developmental venous anomaly. Surgical resection and Gamma Knife Surgery stabilized the lesion; however, residual symptoms, including tremors and gait disturbances, persisted, affecting the patient’s daily activities. These cases illustrate the diverse clinical courses of RICMs, ranging from spontaneous resolution to the necessity of surgical intervention, and emphasize the importance of long-term surveillance and tailored management strategies for late-onset complications.

Background and Objectives: Although various cardiac parameters on echocardiography have clinical importance, their measurement by conventional manual methods is time-consuming and subject to variability. We evaluated the feasibility, accuracy, and predictive value of an artificial intelligence (AI)-based automated system for echocardiographic analysis in patients with ST-segment elevation myocardial infarction (STEMI). Methods: The AI-based system was developed using a nationwide echocardiographic dataset from five tertiary hospitals, and automatically identified views, then segmented and tracked the left ventricle (LV) and left atrium (LA) to produce volume and strain values. Both conventional manual measurements and AI-based fully automated measurements of the LV ejection fraction and global longitudinal strain, and LA volume index and reservoir strain were performed in 632 patients with STEMI. Results: The AI-based system accurately identified necessary views (overall accuracy, 98.5%) and successfully measured LV and LA volumes and strains in all cases in which conventional methods were applicable. Inter-method analysis showed strong correlations between measurement methods, with Pearson coefficients ranging 0.81–0.92 and intraclass correlation coefficients ranging 0.74–0.90. For the prediction of clinical outcomes (composite of all-cause death, re-hospitalization due to heart failure, ventricular arrhythmia, and recurrent myocardial infarction), AI-derived measurements showed predictive value independent of clinical risk factors, comparable to those from conventional manual measurements. Conclusions Our fully automated AI-based approach for LV and LA analysis on echocardiography is feasible and provides accurate measurements, comparable to conventional methods, in patients with STEMI, offering a promising solution for comprehensive echocardiographic analysis, reduced workloads, and improved patient care.

Background: It is well known that a large number of patients with diabetes also have dyslipidemia, which significantly increases the risk of cardiovascular disease (CVD). This study aimed to evaluate the efficacy and safety of combination drugs consisting of metformin and atorvastatin, widely used as therapeutic agents for diabetes and dyslipidemia. Methods: This randomized, double-blind, placebo-controlled, parallel-group and phase III multicenter study included adults with glycosylated hemoglobin (HbA1c) levels >7.0% and <10.0%, low-density lipoprotein cholesterol (LDL-C) >100 and <250 mg/dL. One hundred eighty-five eligible subjects were randomized to the combination group (metformin+atorvastatin), metformin group (metformin+atorvastatin placebo), and atorvastatin group (atorvastatin+metformin placebo). The primary efficacy endpoints were the percent changes in HbA1c and LDL-C levels from baseline at the end of the treatment. Results: After 16 weeks of treatment compared to baseline, HbA1c showed a significant difference of 0.94% compared to the atorvastatin group in the combination group (0.35% vs. −0.58%, respectively; P<0.0001), whereas the proportion of patients with increased HbA1c was also 62% and 15%, respectively, showing a significant difference (P<0.001). The combination group also showed a significant decrease in LDL-C levels compared to the metformin group (−55.20% vs. −7.69%, P<0.001) without previously unknown adverse drug events. Conclusion The addition of atorvastatin to metformin improved HbA1c and LDL-C levels to a significant extent compared to metformin or atorvastatin alone in diabetes and dyslipidemia patients. This study also suggested metformin’s preventive effect on the glucose-elevating potential of atorvastatin in patients with type 2 diabetes mellitus and dyslipidemia, insufficiently controlled with exercise and diet. Metformin and atorvastatin combination might be an effective treatment in reducing the CVD risk in patients with both diabetes and dyslipidemia because of its lowering effect on LDL-C and glucose.

Background and Objectives: Although various cardiac parameters on echocardiography have clinical importance, their measurement by conventional manual methods is time-consuming and subject to variability. We evaluated the feasibility, accuracy, and predictive value of an artificial intelligence (AI)-based automated system for echocardiographic analysis in patients with ST-segment elevation myocardial infarction (STEMI). Methods: The AI-based system was developed using a nationwide echocardiographic dataset from five tertiary hospitals, and automatically identified views, then segmented and tracked the left ventricle (LV) and left atrium (LA) to produce volume and strain values. Both conventional manual measurements and AI-based fully automated measurements of the LV ejection fraction and global longitudinal strain, and LA volume index and reservoir strain were performed in 632 patients with STEMI. Results: The AI-based system accurately identified necessary views (overall accuracy, 98.5%) and successfully measured LV and LA volumes and strains in all cases in which conventional methods were applicable. Inter-method analysis showed strong correlations between measurement methods, with Pearson coefficients ranging 0.81–0.92 and intraclass correlation coefficients ranging 0.74–0.90. For the prediction of clinical outcomes (composite of all-cause death, re-hospitalization due to heart failure, ventricular arrhythmia, and recurrent myocardial infarction), AI-derived measurements showed predictive value independent of clinical risk factors, comparable to those from conventional manual measurements. Conclusions Our fully automated AI-based approach for LV and LA analysis on echocardiography is feasible and provides accurate measurements, comparable to conventional methods, in patients with STEMI, offering a promising solution for comprehensive echocardiographic analysis, reduced workloads, and improved patient care.

Background and Objectives: Although various cardiac parameters on echocardiography have clinical importance, their measurement by conventional manual methods is time-consuming and subject to variability. We evaluated the feasibility, accuracy, and predictive value of an artificial intelligence (AI)-based automated system for echocardiographic analysis in patients with ST-segment elevation myocardial infarction (STEMI). Methods: The AI-based system was developed using a nationwide echocardiographic dataset from five tertiary hospitals, and automatically identified views, then segmented and tracked the left ventricle (LV) and left atrium (LA) to produce volume and strain values. Both conventional manual measurements and AI-based fully automated measurements of the LV ejection fraction and global longitudinal strain, and LA volume index and reservoir strain were performed in 632 patients with STEMI. Results: The AI-based system accurately identified necessary views (overall accuracy, 98.5%) and successfully measured LV and LA volumes and strains in all cases in which conventional methods were applicable. Inter-method analysis showed strong correlations between measurement methods, with Pearson coefficients ranging 0.81–0.92 and intraclass correlation coefficients ranging 0.74–0.90. For the prediction of clinical outcomes (composite of all-cause death, re-hospitalization due to heart failure, ventricular arrhythmia, and recurrent myocardial infarction), AI-derived measurements showed predictive value independent of clinical risk factors, comparable to those from conventional manual measurements. Conclusions Our fully automated AI-based approach for LV and LA analysis on echocardiography is feasible and provides accurate measurements, comparable to conventional methods, in patients with STEMI, offering a promising solution for comprehensive echocardiographic analysis, reduced workloads, and improved patient care.

Background: There is increasing evidence that probiotics are effective in treating allergic rhinitis (AR), while some controversies remain. This study was performed to evaluate the therapeutic effect and safety of a mixture of Bifidobacterium longum and Lactobacillus plantarum (NVP-1703) in children with AR. Methods: In a randomized, double-blind, placebo-controlled study, children aged 6 to 19 years with perennial AR were treated with NVP-1703 at a dose of 1 × 1010 CFU/day or placebo once a day for 4 weeks. Total nasal symptom score (TNSS), nasal symptom duration score (NSDS), quality of life (QoL), allergic inflammatory markers, and safety parameters were evaluated. Results: After 4 weeks of treatment, the TNSS in the NVP-1703 group significantly decreased compared to that in the placebo group (P = 0.011), both in the morning and the evening (P = 0.031 and P = 0.004, respectively). The NSDS also significantly decreased in the NVP-1703 group compared to that in the placebo group (P = 0.018). QoL scores, particularly those related to mouth breathing and itchy nose, showed a significant improvement in the NVP-1703 group compared to the placebo group. The ratios of interleukin (IL)-4/IL-22 and IL-5/IL-22 were significantly reduced in the NVP-1703 group after the treatment compared to the baseline values. No notable adverse events were reported in the NVP-1703 group. Conclusion Oral administration of a mixture of B. longum and L. plantarum (NVP-1703) improved both AR symptoms and QoL in children with perennial AR, accompanied by decreases in the ratios of T helper 2 cytokines to IL-22.

Background: There is increasing evidence that probiotics are effective in treating allergic rhinitis (AR), while some controversies remain. This study was performed to evaluate the therapeutic effect and safety of a mixture of Bifidobacterium longum and Lactobacillus plantarum (NVP-1703) in children with AR. Methods: In a randomized, double-blind, placebo-controlled study, children aged 6 to 19 years with perennial AR were treated with NVP-1703 at a dose of 1 × 1010 CFU/day or placebo once a day for 4 weeks. Total nasal symptom score (TNSS), nasal symptom duration score (NSDS), quality of life (QoL), allergic inflammatory markers, and safety parameters were evaluated. Results: After 4 weeks of treatment, the TNSS in the NVP-1703 group significantly decreased compared to that in the placebo group (P = 0.011), both in the morning and the evening (P = 0.031 and P = 0.004, respectively). The NSDS also significantly decreased in the NVP-1703 group compared to that in the placebo group (P = 0.018). QoL scores, particularly those related to mouth breathing and itchy nose, showed a significant improvement in the NVP-1703 group compared to the placebo group. The ratios of interleukin (IL)-4/IL-22 and IL-5/IL-22 were significantly reduced in the NVP-1703 group after the treatment compared to the baseline values. No notable adverse events were reported in the NVP-1703 group. Conclusion Oral administration of a mixture of B. longum and L. plantarum (NVP-1703) improved both AR symptoms and QoL in children with perennial AR, accompanied by decreases in the ratios of T helper 2 cytokines to IL-22.

Background: There is increasing evidence that probiotics are effective in treating allergic rhinitis (AR), while some controversies remain. This study was performed to evaluate the therapeutic effect and safety of a mixture of Bifidobacterium longum and Lactobacillus plantarum (NVP-1703) in children with AR. Methods: In a randomized, double-blind, placebo-controlled study, children aged 6 to 19 years with perennial AR were treated with NVP-1703 at a dose of 1 × 1010 CFU/day or placebo once a day for 4 weeks. Total nasal symptom score (TNSS), nasal symptom duration score (NSDS), quality of life (QoL), allergic inflammatory markers, and safety parameters were evaluated. Results: After 4 weeks of treatment, the TNSS in the NVP-1703 group significantly decreased compared to that in the placebo group (P = 0.011), both in the morning and the evening (P = 0.031 and P = 0.004, respectively). The NSDS also significantly decreased in the NVP-1703 group compared to that in the placebo group (P = 0.018). QoL scores, particularly those related to mouth breathing and itchy nose, showed a significant improvement in the NVP-1703 group compared to the placebo group. The ratios of interleukin (IL)-4/IL-22 and IL-5/IL-22 were significantly reduced in the NVP-1703 group after the treatment compared to the baseline values. No notable adverse events were reported in the NVP-1703 group. Conclusion Oral administration of a mixture of B. longum and L. plantarum (NVP-1703) improved both AR symptoms and QoL in children with perennial AR, accompanied by decreases in the ratios of T helper 2 cytokines to IL-22.