Conventional size-based criteria have limitations in accurately assessing neoadjuvant therapy (NAT) response in soft tissue sarcomas (STS). This systematic review evaluated the association between dynamic contrast-enhanced MRI (DCE-MRI) parameters and histopathology-based response to NAT in STS and summarized which DCE-MRI parameters show the most consistent associations across diverse clinical contexts. Following Preferred Reporting Items for Systematic Reviews and MetaAnalyses (PRISMA) guidelines, a comprehensive search was conducted to identify studies evaluating treatment response to NAT in STS using DCE-MRI. Thirteen studies comprising 234 patients were included. Quantitative DCE-MRI parameters, particularly Ktrans , showed a strong predictive performance for treatment response and demonstrated high discriminatory ability in several cohorts during both early and late post-treatment phases. Related measures such as ΔKtrans , Kep, and Ve also correlated significantly with histopathologic necrosis. Semi-quantitative markers, including the integrated area under the curve in the first 60 seconds after injection (iAUC60), wash-in rate, and time-to-peak, showed consistent associations with tumor perfusion and hypoxia. Qualitative features, including time–intensity curve patterns, effectively differentiated responders from non-responders, with type II curves most strongly associated with favorable outcomes. In conclusion, DCE-MRI, particularly quantitative pharmacokinetic parameters such as Ktrans , shows promise for assessing treatment response in STS and demonstrates generally concordant associations with histopathology-based response. However, protocol and endpoint heterogeneity and small cohort sizes limit the ability to establish definitive cutoffs and reduce generalizability, highlighting the need for standardized prospective validation.

Background: Despite the critical importance of sleep medicine within neurology, notable gaps in education and clinical practice persist among neurologists. This study aims to explore the extent of involvement and the challenges faced by Korean neurologists in sleep medicine, focusing on awareness of polysomnography training program, the operation of sleep study facilities, and educational exposure. Methods: An online survey collected responses from 233 neurologists, focusing on their demographics, knowledge of and involvement in sleep medicine, operation of sleep study facilities, and participation in residency training. Results: The findings indicated that 84.9% of neurologists were aware of polysomnography training program, primarily through professional societies. Nonetheless, 15.1% reported unfamiliarity with these initiatives, with 72.7% of this subgroup expressing interest in sleep medicine yet lacking access to information. In terms of clinical practice, 74 neurologists operated sleep study facilities, with 63% intending to expand. Key operational challenges included staff management, maintaining patient volumes, and inadequate institutional support. Among respondents from teaching hospitals, only 36 out of 114 reported active resident involvement in sleep study interpretations, predominantly hindered by excessive workloads and insufficient staffing. Conclusions A significant number of neurologists have an interest in sleep medicine; however, substantial challenges impede effective education and clinical practice. These results underscore the need for improved educational resources and institutional support to enhance the growth and effectiveness of sleep medicine practices among neurologists.

Objective: This study evaluated the effectiveness of a virtual reality (VR) based stress reduction program tailored for healthcare and information technology (IT) professionals during the coronavirus disease-2019 pandemic. Methods: The 2-week program, based on forest healing principles, was designed to alleviate occupational stress and improve sleep quality. Participants (n=54; 46 healthcare, 8 IT professionals) underwent pre- and post-intervention assessments using validated psychological scales and physiological measurements. Results: Results showed significant reductions in stress (Perceived Stress Scale [PSS], p=0.001) and anxiety (Hospital Anxiety and Depression Scale [HADS] anxiety, p=0.002) across all participants. Healthcare professionals demonstrated significant decreases in depression (Patient Health Questionnaire-9, p=0.015), anxiety (HADS anxiety, p<0.001), and stress (PSS, p=0.001). Unexpectedly, weekday sleep quality (Pittsburgh Sleep Quality Index) worsened in the healthcare group (p=0.013). The IT group showed no significant changes, possibly due to the small sample size. Physiological measurements revealed significant differences between groups post-intervention, including melatonin levels (p=0.001) and electrocardiogram values (p=0.031), suggesting occupation-specific responses to VR interventions. Conclusion Despite limitations such as unequal sample sizes, this study provides valuable insights into the potential of VR-based stress management programs. The findings underscore the need for occupation-specific approaches and further research with larger, balanced samples to validate these results and explore long-term effects.

Objective: This study evaluated the effectiveness of a virtual reality (VR) based stress reduction program tailored for healthcare and information technology (IT) professionals during the coronavirus disease-2019 pandemic. Methods: The 2-week program, based on forest healing principles, was designed to alleviate occupational stress and improve sleep quality. Participants (n=54; 46 healthcare, 8 IT professionals) underwent pre- and post-intervention assessments using validated psychological scales and physiological measurements. Results: Results showed significant reductions in stress (Perceived Stress Scale [PSS], p=0.001) and anxiety (Hospital Anxiety and Depression Scale [HADS] anxiety, p=0.002) across all participants. Healthcare professionals demonstrated significant decreases in depression (Patient Health Questionnaire-9, p=0.015), anxiety (HADS anxiety, p<0.001), and stress (PSS, p=0.001). Unexpectedly, weekday sleep quality (Pittsburgh Sleep Quality Index) worsened in the healthcare group (p=0.013). The IT group showed no significant changes, possibly due to the small sample size. Physiological measurements revealed significant differences between groups post-intervention, including melatonin levels (p=0.001) and electrocardiogram values (p=0.031), suggesting occupation-specific responses to VR interventions. Conclusion Despite limitations such as unequal sample sizes, this study provides valuable insights into the potential of VR-based stress management programs. The findings underscore the need for occupation-specific approaches and further research with larger, balanced samples to validate these results and explore long-term effects.

Background: Despite the critical importance of sleep medicine within neurology, notable gaps in education and clinical practice persist among neurologists. This study aims to explore the extent of involvement and the challenges faced by Korean neurologists in sleep medicine, focusing on awareness of polysomnography training program, the operation of sleep study facilities, and educational exposure. Methods: An online survey collected responses from 233 neurologists, focusing on their demographics, knowledge of and involvement in sleep medicine, operation of sleep study facilities, and participation in residency training. Results: The findings indicated that 84.9% of neurologists were aware of polysomnography training program, primarily through professional societies. Nonetheless, 15.1% reported unfamiliarity with these initiatives, with 72.7% of this subgroup expressing interest in sleep medicine yet lacking access to information. In terms of clinical practice, 74 neurologists operated sleep study facilities, with 63% intending to expand. Key operational challenges included staff management, maintaining patient volumes, and inadequate institutional support. Among respondents from teaching hospitals, only 36 out of 114 reported active resident involvement in sleep study interpretations, predominantly hindered by excessive workloads and insufficient staffing. Conclusions A significant number of neurologists have an interest in sleep medicine; however, substantial challenges impede effective education and clinical practice. These results underscore the need for improved educational resources and institutional support to enhance the growth and effectiveness of sleep medicine practices among neurologists.

Background: Despite the critical importance of sleep medicine within neurology, notable gaps in education and clinical practice persist among neurologists. This study aims to explore the extent of involvement and the challenges faced by Korean neurologists in sleep medicine, focusing on awareness of polysomnography training program, the operation of sleep study facilities, and educational exposure. Methods: An online survey collected responses from 233 neurologists, focusing on their demographics, knowledge of and involvement in sleep medicine, operation of sleep study facilities, and participation in residency training. Results: The findings indicated that 84.9% of neurologists were aware of polysomnography training program, primarily through professional societies. Nonetheless, 15.1% reported unfamiliarity with these initiatives, with 72.7% of this subgroup expressing interest in sleep medicine yet lacking access to information. In terms of clinical practice, 74 neurologists operated sleep study facilities, with 63% intending to expand. Key operational challenges included staff management, maintaining patient volumes, and inadequate institutional support. Among respondents from teaching hospitals, only 36 out of 114 reported active resident involvement in sleep study interpretations, predominantly hindered by excessive workloads and insufficient staffing. Conclusions A significant number of neurologists have an interest in sleep medicine; however, substantial challenges impede effective education and clinical practice. These results underscore the need for improved educational resources and institutional support to enhance the growth and effectiveness of sleep medicine practices among neurologists.

Objective: This study evaluated the effectiveness of a virtual reality (VR) based stress reduction program tailored for healthcare and information technology (IT) professionals during the coronavirus disease-2019 pandemic. Methods: The 2-week program, based on forest healing principles, was designed to alleviate occupational stress and improve sleep quality. Participants (n=54; 46 healthcare, 8 IT professionals) underwent pre- and post-intervention assessments using validated psychological scales and physiological measurements. Results: Results showed significant reductions in stress (Perceived Stress Scale [PSS], p=0.001) and anxiety (Hospital Anxiety and Depression Scale [HADS] anxiety, p=0.002) across all participants. Healthcare professionals demonstrated significant decreases in depression (Patient Health Questionnaire-9, p=0.015), anxiety (HADS anxiety, p<0.001), and stress (PSS, p=0.001). Unexpectedly, weekday sleep quality (Pittsburgh Sleep Quality Index) worsened in the healthcare group (p=0.013). The IT group showed no significant changes, possibly due to the small sample size. Physiological measurements revealed significant differences between groups post-intervention, including melatonin levels (p=0.001) and electrocardiogram values (p=0.031), suggesting occupation-specific responses to VR interventions. Conclusion Despite limitations such as unequal sample sizes, this study provides valuable insights into the potential of VR-based stress management programs. The findings underscore the need for occupation-specific approaches and further research with larger, balanced samples to validate these results and explore long-term effects.

Objective: This study evaluated the effectiveness of a virtual reality (VR) based stress reduction program tailored for healthcare and information technology (IT) professionals during the coronavirus disease-2019 pandemic. Methods: The 2-week program, based on forest healing principles, was designed to alleviate occupational stress and improve sleep quality. Participants (n=54; 46 healthcare, 8 IT professionals) underwent pre- and post-intervention assessments using validated psychological scales and physiological measurements. Results: Results showed significant reductions in stress (Perceived Stress Scale [PSS], p=0.001) and anxiety (Hospital Anxiety and Depression Scale [HADS] anxiety, p=0.002) across all participants. Healthcare professionals demonstrated significant decreases in depression (Patient Health Questionnaire-9, p=0.015), anxiety (HADS anxiety, p<0.001), and stress (PSS, p=0.001). Unexpectedly, weekday sleep quality (Pittsburgh Sleep Quality Index) worsened in the healthcare group (p=0.013). The IT group showed no significant changes, possibly due to the small sample size. Physiological measurements revealed significant differences between groups post-intervention, including melatonin levels (p=0.001) and electrocardiogram values (p=0.031), suggesting occupation-specific responses to VR interventions. Conclusion Despite limitations such as unequal sample sizes, this study provides valuable insights into the potential of VR-based stress management programs. The findings underscore the need for occupation-specific approaches and further research with larger, balanced samples to validate these results and explore long-term effects.

Objective: This study evaluated the effectiveness of a virtual reality (VR) based stress reduction program tailored for healthcare and information technology (IT) professionals during the coronavirus disease-2019 pandemic. Methods: The 2-week program, based on forest healing principles, was designed to alleviate occupational stress and improve sleep quality. Participants (n=54; 46 healthcare, 8 IT professionals) underwent pre- and post-intervention assessments using validated psychological scales and physiological measurements. Results: Results showed significant reductions in stress (Perceived Stress Scale [PSS], p=0.001) and anxiety (Hospital Anxiety and Depression Scale [HADS] anxiety, p=0.002) across all participants. Healthcare professionals demonstrated significant decreases in depression (Patient Health Questionnaire-9, p=0.015), anxiety (HADS anxiety, p<0.001), and stress (PSS, p=0.001). Unexpectedly, weekday sleep quality (Pittsburgh Sleep Quality Index) worsened in the healthcare group (p=0.013). The IT group showed no significant changes, possibly due to the small sample size. Physiological measurements revealed significant differences between groups post-intervention, including melatonin levels (p=0.001) and electrocardiogram values (p=0.031), suggesting occupation-specific responses to VR interventions. Conclusion Despite limitations such as unequal sample sizes, this study provides valuable insights into the potential of VR-based stress management programs. The findings underscore the need for occupation-specific approaches and further research with larger, balanced samples to validate these results and explore long-term effects.

This retrospective study aimed to implement cognitive behavioral therapy for insomnia (CBTi) within the Metaverse, exploring its feasibility as an alternative to traditional face-to-face CBTi sessions. Methods: A total of 49 individuals (41 females) participated in the study, predominantly young adults, with 42.9% in their twenties and 42.9% in their thirties. The Metaverse-based program consisted of a single-session designed to educate participants about healthy sleep habits in line with CBTi principles and guide behaviors conducive to better sleep. The participants reported on their sleep patterns at two intervals: the day following the intervention and again 2 weeks later. Results: The findings revealed that after participating in the Metaverse-based program, there was a reported increase in sleep satisfaction (74.5%) and a reduction in sleep latency (64.4%). Comparison of follow-up results to immediate post-program outcomes revealed no significant differences between the two time points in sleep onset latency (t (34)=1.71, p=0.096), number of wakings (t (34)=0.53, p=0.597), or feeling refreshed upon waking (t (34)=1.89, p=0.067). However, there were significant differences between the two time points in sleep satisfaction (t (34)=2.77, p=0.009). Conclusions: Despite certain limitations, the study highlights the promising potential of the Metaverse as an innovative platform for delivering CBTi, indicating its potential effectiveness in enhancing sleep quality among individuals with sleep disturbances.