In patients with differentiated thyroid cancer (DTC), initial recurrence risk stratification based on clinical, histopathological, and perioperative data remains the key determinant for guiding management strategies during the first 1-2 years post-treatment. However, the adoption of ongoing risk stratification (ORS), which dynamically reassesses risk by integrating longitudinal clinical data and treatment response, enables more precise long-term prognostic assessment and facilitates highly individualized management. Building upon recent guidelines, the 2026 KTA guideline has been further refined by incorporating robust evidence from large-scale national cohorts and comprehensive systematic reviews. These updated recommendations outline contemporary concepts of ORS, risk-adapted TSH suppression targets, optimized surveillance modalities for recurrence detection, and disease-specific long-term follow-up strategies. Reflecting the paradigm shift toward de-escalated treatment, this revision integrates evolved perspectives on TSH suppression intensity, the clinical interpretation of thyroglobulin levels, and tailored follow-up intervals. These evidence-based recommendations aim to minimize unnecessary treatment and excessive surveillance in the large proportion of patients with excellent prognosis after initial therapy, while ensuring that each patient receives appropriately tailored and effective long-term management.

Background: and Purpose The National Brain Biobank of Korea (NBBK) is a brain bank consortium supported by the Korea Disease Control and Prevention Agency and the Korea National Institute of Health, and was launched in 2015 to support research into neurodegenerative disease dementia (NDD). This study aimed to introduce the NBBK and describes clinicopathological correlations based on analyses of data collected from the NBBK. Methods: Four hospital-based brain banks have been established in South Korea: Samsung Medical Center Brain Bank (SMCBB), Seoul National University Hospital Brain Bank (SNUHBB), Pusan National University Hospital Brain Bank (PNUHBB), and Myongji Hospital Brain Bank (MJHBB). Clinical and pathological data were collected from these brain banks using standardized protocols. The prevalence rates of clinical and pathological diagnoses were analyzed in order to characterize the clinicopathological correlations. Results: Between August 2016 and December 2023, 185 brain specimens were collected and pathologically evaluated (SNUHBB: 117; PNUHBB: 27; SMCBB: 34; MJHBB: 7). The age at consent was 70.8±12.6 years, and the age at autopsy was 71.7±12.4 years. The four-most-common clinical diagnoses were Alzheimer’s disease (AD) dementia (20.0%), idiopathic Parkinson’s disease (15.1%), unspecified dementia (11.9%), and cognitively unimpaired (CU) (11.4%).Most cases of unspecified dementia had a pathological diagnosis of central nervous system (CNS) vasculopathy (31.8%) or AD (31.8%). Remarkably, only 14.2% of CU cases had normal pathological findings. The three-most-common pathological diagnoses were AD (26.5%), CNS vasculopathy (14.1%), and Lewy body disease (13.5%). Conclusions These clinical and neuropathological findings provide a deeper understanding of the mechanisms underlying NDD in South Korea.

Background: and Purpose The National Brain Biobank of Korea (NBBK) is a brain bank consortium supported by the Korea Disease Control and Prevention Agency and the Korea National Institute of Health, and was launched in 2015 to support research into neurodegenerative disease dementia (NDD). This study aimed to introduce the NBBK and describes clinicopathological correlations based on analyses of data collected from the NBBK. Methods: Four hospital-based brain banks have been established in South Korea: Samsung Medical Center Brain Bank (SMCBB), Seoul National University Hospital Brain Bank (SNUHBB), Pusan National University Hospital Brain Bank (PNUHBB), and Myongji Hospital Brain Bank (MJHBB). Clinical and pathological data were collected from these brain banks using standardized protocols. The prevalence rates of clinical and pathological diagnoses were analyzed in order to characterize the clinicopathological correlations. Results: Between August 2016 and December 2023, 185 brain specimens were collected and pathologically evaluated (SNUHBB: 117; PNUHBB: 27; SMCBB: 34; MJHBB: 7). The age at consent was 70.8±12.6 years, and the age at autopsy was 71.7±12.4 years. The four-most-common clinical diagnoses were Alzheimer’s disease (AD) dementia (20.0%), idiopathic Parkinson’s disease (15.1%), unspecified dementia (11.9%), and cognitively unimpaired (CU) (11.4%).Most cases of unspecified dementia had a pathological diagnosis of central nervous system (CNS) vasculopathy (31.8%) or AD (31.8%). Remarkably, only 14.2% of CU cases had normal pathological findings. The three-most-common pathological diagnoses were AD (26.5%), CNS vasculopathy (14.1%), and Lewy body disease (13.5%). Conclusions These clinical and neuropathological findings provide a deeper understanding of the mechanisms underlying NDD in South Korea.

Background: and Purpose The National Brain Biobank of Korea (NBBK) is a brain bank consortium supported by the Korea Disease Control and Prevention Agency and the Korea National Institute of Health, and was launched in 2015 to support research into neurodegenerative disease dementia (NDD). This study aimed to introduce the NBBK and describes clinicopathological correlations based on analyses of data collected from the NBBK. Methods: Four hospital-based brain banks have been established in South Korea: Samsung Medical Center Brain Bank (SMCBB), Seoul National University Hospital Brain Bank (SNUHBB), Pusan National University Hospital Brain Bank (PNUHBB), and Myongji Hospital Brain Bank (MJHBB). Clinical and pathological data were collected from these brain banks using standardized protocols. The prevalence rates of clinical and pathological diagnoses were analyzed in order to characterize the clinicopathological correlations. Results: Between August 2016 and December 2023, 185 brain specimens were collected and pathologically evaluated (SNUHBB: 117; PNUHBB: 27; SMCBB: 34; MJHBB: 7). The age at consent was 70.8±12.6 years, and the age at autopsy was 71.7±12.4 years. The four-most-common clinical diagnoses were Alzheimer’s disease (AD) dementia (20.0%), idiopathic Parkinson’s disease (15.1%), unspecified dementia (11.9%), and cognitively unimpaired (CU) (11.4%).Most cases of unspecified dementia had a pathological diagnosis of central nervous system (CNS) vasculopathy (31.8%) or AD (31.8%). Remarkably, only 14.2% of CU cases had normal pathological findings. The three-most-common pathological diagnoses were AD (26.5%), CNS vasculopathy (14.1%), and Lewy body disease (13.5%). Conclusions These clinical and neuropathological findings provide a deeper understanding of the mechanisms underlying NDD in South Korea.

Objective: The rapid societal changes have underscored the importance of effective stress detection and management. Chronic mental stress significantly contributes to both physical and psychological illnesses. However, many individuals often remain unaware of their stress levels until they face physical health issues, highlighting the necessity for regular stress monitoring. This study aimed to investigate the effectiveness of vocal biomarkers in detecting stress levels among healthy Korean employees and to contribute to digital healthcare solutions. Methods: We conducted a multi-center clinical study by collecting voice recordings from 115 healthy Korean employees under both relaxed and stress-induced conditions. Stress was induced using the socially evaluated cold pressor test. The Emphasized Channel Attention, Propagation and Aggregation in Time delay neural network (ECAPA-TDNN) deep learning architecture, renowned for its advanced capabilities in analyzing person-specific voice features, was employed to develop stress prediction scores. Results: The proposed model achieved a 70% accuracy rate in detecting stress. This performance underscores the potential of vocal biomarkers as a convenient and effective tool for individuals to self-monitor and manage their stress levels within digital healthcare frameworks. Conclusion The findings emphasize the promise of voice-based mental stress assessments within the Korean population and the importance of continued research on vocal biomarkers across diverse linguistic demographics.

Purpose: The Vascular Study Group of New England (VSGNE) risk prediction model is a simple method for estimating risk for elective abdominal aortic aneurysm (AAA) repair. The model considers both treatment methods and the physical characteristics of the aneurysm type as well as comorbidities. This research aimed to validate its effectiveness by analyzing retrospective data on Korean patients. Methods: Our single-center retrospective analysis included 1,227 patients who underwent elective open repair surgery (ORS) or endovascular aortic repair (EVAR) from 2005 to 2021. We assessed the discrimination of the risk score and the effects of several risk factors. Results: Most patients (66.7%) were classified as low risk in the model, with only 5.6% considered high risk. The mean risk score was 2.81, significantly lower than reported in previous studies. The actual 30-day mortality was only 0.7%, less than the predicted 1.1%. The accuracy of the model in predicting 30-day mortality was statistically significant (area under the curve, 0.822). Patients with high scores were associated with significantly increased mortality (odds ratio, 3.9; P < 0.001). Factors such as advanced age, cerebrovascular disease, and elevated creatinine levels were influential in mortality outcomes. However, a significant difference was not found in short-term mortality between ORS and EVAR. Conclusion Although the VSGNE model is an objective tool for assessing death risk in elective AAA repair, the actual risk scores in our patient population were lower than predicted. To create a more representative tool for the Korean population, we suggest developing a novel model based on multicenter data collection.

In the 2023 series, we summarized the major clinical research advances in gynecologic oncology based on communications at the conference of Asian Society of Gynecologic Oncology Review Course. The review consisted of 1) Endometrial cancer: immune checkpoint inhibitor, antibody drug conjugates (ADCs), selective inhibitor of nuclear export, CDK4/6 inhibitors WEE1 inhibitor, poly (ADP-ribose) polymerase (PARP) inhibitors. 2) Cervical cancer: surgery in low-risk early-stage cervical cancer, therapy for locally advanced stage and advanced, metastatic, or recurrent setting; and 3) Ovarian cancer: immunotherapy, triplet therapies using immune checkpoint inhibitors along with antiangiogenic agents and PARP inhibitors, and ADCs. In 2023, the field of endometrial cancer treatment witnessed a landmark year, marked by several practice-changing outcomes with immune checkpoint inhibitors and the reliable efficacy of PARP inhibitors and ADCs.

Objective: We aimed to revalidate the chemotherapy response score (CRS) system as a prognostic factor for ovarian cancer patients with breast cancer gene (BRCA) mutations or those receiving frontline poly-ADP ribose polymerase (PARP) inhibitors or bevacizumab as maintenance therapy. Methods: A retrospective analysis was performed using medical records of patients with high-grade serous carcinoma who received neoadjuvant chemotherapy followed by interval debulking surgery between January 2007 and December 2021 at 5 tertiary medical institutions in South Korea. At each hospital, pathologists independently assessed each slide of omental tissues obtained from surgery using the CRS system. Progression-free survival (PFS) and overall survival (OS) values were obtained using Kaplan-Meier analysis to evaluate the effect of BRCA mutation, maintenance therapy, and CRS on survival time. Results: Of 466 patients, BRCA mutations were detected in 156 (33.5%) and 131 (28.1%) were treated with maintenance therapy; 98 (21.0%) and 42 (9.0%) were treated with PARP inhibitors or bevacizumab, respectively. Patients with CRS3 had significantly longer PFS than those with CRS1 or 2 (24.7 vs. 16.8 months, p<0.001). However, there was no significant difference in PFS improvement between CRS3 patients and those with CRS1 or 2 with BRCA mutation (22.0 vs. 19.3 months, p=0.193). Moreover, no significant PFS prolongation was observed in CRS3 patients compared to CRS1 or 2 patients treated with PARP inhibitors or bevacizumab (24.3 vs. 22.4 months, p=0.851; 27.5 vs. 15.7 months, p=0.347, respectively). Conclusion CRS may not be a prognostic factor in patients with BRCA mutations and those receiving frontline maintenance therapy.

Purpose: The Vascular Study Group of New England (VSGNE) risk prediction model is a simple method for estimating risk for elective abdominal aortic aneurysm (AAA) repair. The model considers both treatment methods and the physical characteristics of the aneurysm type as well as comorbidities. This research aimed to validate its effectiveness by analyzing retrospective data on Korean patients. Methods: Our single-center retrospective analysis included 1,227 patients who underwent elective open repair surgery (ORS) or endovascular aortic repair (EVAR) from 2005 to 2021. We assessed the discrimination of the risk score and the effects of several risk factors. Results: Most patients (66.7%) were classified as low risk in the model, with only 5.6% considered high risk. The mean risk score was 2.81, significantly lower than reported in previous studies. The actual 30-day mortality was only 0.7%, less than the predicted 1.1%. The accuracy of the model in predicting 30-day mortality was statistically significant (area under the curve, 0.822). Patients with high scores were associated with significantly increased mortality (odds ratio, 3.9; P < 0.001). Factors such as advanced age, cerebrovascular disease, and elevated creatinine levels were influential in mortality outcomes. However, a significant difference was not found in short-term mortality between ORS and EVAR. Conclusion Although the VSGNE model is an objective tool for assessing death risk in elective AAA repair, the actual risk scores in our patient population were lower than predicted. To create a more representative tool for the Korean population, we suggest developing a novel model based on multicenter data collection.

In the 2023 series, we summarized the major clinical research advances in gynecologic oncology based on communications at the conference of Asian Society of Gynecologic Oncology Review Course. The review consisted of 1) Endometrial cancer: immune checkpoint inhibitor, antibody drug conjugates (ADCs), selective inhibitor of nuclear export, CDK4/6 inhibitors WEE1 inhibitor, poly (ADP-ribose) polymerase (PARP) inhibitors. 2) Cervical cancer: surgery in low-risk early-stage cervical cancer, therapy for locally advanced stage and advanced, metastatic, or recurrent setting; and 3) Ovarian cancer: immunotherapy, triplet therapies using immune checkpoint inhibitors along with antiangiogenic agents and PARP inhibitors, and ADCs. In 2023, the field of endometrial cancer treatment witnessed a landmark year, marked by several practice-changing outcomes with immune checkpoint inhibitors and the reliable efficacy of PARP inhibitors and ADCs.