1.Eligibility for Lecanemab Treatment in the Republic of Korea:Real-World Data From Memory Clinics
Sung Hoon KANG ; Jee Hyang JEONG ; Jung-Min PYUN ; Geon Ha KIM ; Young Ho PARK ; YongSoo SHIM ; Seong-Ho KOH ; Chi-Hun KIM ; Young Chul YOUN ; Dong Won YANG ; Hyuk-je LEE ; Han LEE ; Dain KIM ; Kyunghwa SUN ; So Young MOON ; Kee Hyung PARK ; Seong Hye CHOI
Journal of Clinical Neurology 2025;21(3):182-189
Background:
and Purpose We aimed to determine the proportion of Korean patients with early Alzheimer’s disease (AD) who are eligible to receive lecanemab based on the United States Appropriate Use Recommendations (US AUR), and also identify the barriers to this treatment.
Methods:
We retrospectively enrolled 6,132 patients with amnestic mild cognitive impairment or mild amnestic dementia at 13 hospitals from June 2023 to May 2024. Among them, 2,058 patients underwent amyloid positron emission tomography (PET) and 1,199 (58.3%) of these patients were amyloid-positive on PET. We excluded 732 patients who did not undergo brain magnetic resonance imaging between June 2023 and May 2024. Finally, 467 patients were included in the present study.
Results:
When applying the criteria of the US AUR, approximately 50% of patients with early AD were eligible to receive lecanemab treatment. Among the 467 included patients, 36.8% did not meet the inclusion criterion of a Mini-Mental State Examination (MMSE) score of ≥22.
Conclusions
Eligibility for lecanemab treatment was not restricted to Korean patients with early AD except for those with an MMSE score of ≥22. The MMSE criteria should therefore be reconsidered in areas with a higher proportion of older people, who tend to have lower levels of education.
2.Early Administration of Nelonemdaz May Improve the Stroke Outcomes in Patients With Acute Stroke
Jin Soo LEE ; Ji Sung LEE ; Seong Hwan AHN ; Hyun Goo KANG ; Tae-Jin SONG ; Dong-Ick SHIN ; Hee-Joon BAE ; Chang Hun KIM ; Sung Hyuk HEO ; Jae-Kwan CHA ; Yeong Bae LEE ; Eung Gyu KIM ; Man Seok PARK ; Hee-Kwon PARK ; Jinkwon KIM ; Sungwook YU ; Heejung MO ; Sung Il SOHN ; Jee Hyun KWON ; Jae Guk KIM ; Young Seo KIM ; Jay Chol CHOI ; Yang-Ha HWANG ; Keun Hwa JUNG ; Soo-Kyoung KIM ; Woo Keun SEO ; Jung Hwa SEO ; Joonsang YOO ; Jun Young CHANG ; Mooseok PARK ; Kyu Sun YUM ; Chun San AN ; Byoung Joo GWAG ; Dennis W. CHOI ; Ji Man HONG ; Sun U. KWON ;
Journal of Stroke 2025;27(2):279-283
3.Early Administration of Nelonemdaz May Improve the Stroke Outcomes in Patients With Acute Stroke
Jin Soo LEE ; Ji Sung LEE ; Seong Hwan AHN ; Hyun Goo KANG ; Tae-Jin SONG ; Dong-Ick SHIN ; Hee-Joon BAE ; Chang Hun KIM ; Sung Hyuk HEO ; Jae-Kwan CHA ; Yeong Bae LEE ; Eung Gyu KIM ; Man Seok PARK ; Hee-Kwon PARK ; Jinkwon KIM ; Sungwook YU ; Heejung MO ; Sung Il SOHN ; Jee Hyun KWON ; Jae Guk KIM ; Young Seo KIM ; Jay Chol CHOI ; Yang-Ha HWANG ; Keun Hwa JUNG ; Soo-Kyoung KIM ; Woo Keun SEO ; Jung Hwa SEO ; Joonsang YOO ; Jun Young CHANG ; Mooseok PARK ; Kyu Sun YUM ; Chun San AN ; Byoung Joo GWAG ; Dennis W. CHOI ; Ji Man HONG ; Sun U. KWON ;
Journal of Stroke 2025;27(2):279-283
4.Early Administration of Nelonemdaz May Improve the Stroke Outcomes in Patients With Acute Stroke
Jin Soo LEE ; Ji Sung LEE ; Seong Hwan AHN ; Hyun Goo KANG ; Tae-Jin SONG ; Dong-Ick SHIN ; Hee-Joon BAE ; Chang Hun KIM ; Sung Hyuk HEO ; Jae-Kwan CHA ; Yeong Bae LEE ; Eung Gyu KIM ; Man Seok PARK ; Hee-Kwon PARK ; Jinkwon KIM ; Sungwook YU ; Heejung MO ; Sung Il SOHN ; Jee Hyun KWON ; Jae Guk KIM ; Young Seo KIM ; Jay Chol CHOI ; Yang-Ha HWANG ; Keun Hwa JUNG ; Soo-Kyoung KIM ; Woo Keun SEO ; Jung Hwa SEO ; Joonsang YOO ; Jun Young CHANG ; Mooseok PARK ; Kyu Sun YUM ; Chun San AN ; Byoung Joo GWAG ; Dennis W. CHOI ; Ji Man HONG ; Sun U. KWON ;
Journal of Stroke 2025;27(2):279-283
5.Eligibility for Lecanemab Treatment in the Republic of Korea:Real-World Data From Memory Clinics
Sung Hoon KANG ; Jee Hyang JEONG ; Jung-Min PYUN ; Geon Ha KIM ; Young Ho PARK ; YongSoo SHIM ; Seong-Ho KOH ; Chi-Hun KIM ; Young Chul YOUN ; Dong Won YANG ; Hyuk-je LEE ; Han LEE ; Dain KIM ; Kyunghwa SUN ; So Young MOON ; Kee Hyung PARK ; Seong Hye CHOI
Journal of Clinical Neurology 2025;21(3):182-189
Background:
and Purpose We aimed to determine the proportion of Korean patients with early Alzheimer’s disease (AD) who are eligible to receive lecanemab based on the United States Appropriate Use Recommendations (US AUR), and also identify the barriers to this treatment.
Methods:
We retrospectively enrolled 6,132 patients with amnestic mild cognitive impairment or mild amnestic dementia at 13 hospitals from June 2023 to May 2024. Among them, 2,058 patients underwent amyloid positron emission tomography (PET) and 1,199 (58.3%) of these patients were amyloid-positive on PET. We excluded 732 patients who did not undergo brain magnetic resonance imaging between June 2023 and May 2024. Finally, 467 patients were included in the present study.
Results:
When applying the criteria of the US AUR, approximately 50% of patients with early AD were eligible to receive lecanemab treatment. Among the 467 included patients, 36.8% did not meet the inclusion criterion of a Mini-Mental State Examination (MMSE) score of ≥22.
Conclusions
Eligibility for lecanemab treatment was not restricted to Korean patients with early AD except for those with an MMSE score of ≥22. The MMSE criteria should therefore be reconsidered in areas with a higher proportion of older people, who tend to have lower levels of education.
6.Eligibility for Lecanemab Treatment in the Republic of Korea:Real-World Data From Memory Clinics
Sung Hoon KANG ; Jee Hyang JEONG ; Jung-Min PYUN ; Geon Ha KIM ; Young Ho PARK ; YongSoo SHIM ; Seong-Ho KOH ; Chi-Hun KIM ; Young Chul YOUN ; Dong Won YANG ; Hyuk-je LEE ; Han LEE ; Dain KIM ; Kyunghwa SUN ; So Young MOON ; Kee Hyung PARK ; Seong Hye CHOI
Journal of Clinical Neurology 2025;21(3):182-189
Background:
and Purpose We aimed to determine the proportion of Korean patients with early Alzheimer’s disease (AD) who are eligible to receive lecanemab based on the United States Appropriate Use Recommendations (US AUR), and also identify the barriers to this treatment.
Methods:
We retrospectively enrolled 6,132 patients with amnestic mild cognitive impairment or mild amnestic dementia at 13 hospitals from June 2023 to May 2024. Among them, 2,058 patients underwent amyloid positron emission tomography (PET) and 1,199 (58.3%) of these patients were amyloid-positive on PET. We excluded 732 patients who did not undergo brain magnetic resonance imaging between June 2023 and May 2024. Finally, 467 patients were included in the present study.
Results:
When applying the criteria of the US AUR, approximately 50% of patients with early AD were eligible to receive lecanemab treatment. Among the 467 included patients, 36.8% did not meet the inclusion criterion of a Mini-Mental State Examination (MMSE) score of ≥22.
Conclusions
Eligibility for lecanemab treatment was not restricted to Korean patients with early AD except for those with an MMSE score of ≥22. The MMSE criteria should therefore be reconsidered in areas with a higher proportion of older people, who tend to have lower levels of education.
7.Correction: 2023 Korean Society of Echocardiography position paper for diagnosis and management of valvular heart disease, part I: aortic valve disease
Sun Hwa LEE ; Se Jung YOON ; Byung Joo SUN ; Hyue Mee KIM ; Hyung Yoon KIM ; Sahmin LEE ; Chi Young SHIM ; Eun Kyoung KIM ; Dong Hyuk CHO ; Jun Bean PARK ; Jeong Sook SEO ; Jung Woo SON ; In Cheol KIM ; Sang Hyun LEE ; Ran HEO ; Hyun Jung LEE ; Jae Hyeong PARK ; Jong Min SONG ; Sang Chol LEE ; Hyungseop KIM ; Duk Hyun KANG ; Jong Won HA ; Kye Hun KIM ;
Journal of Cardiovascular Imaging 2024;32(1):34-
8.Trends in the incidence and survival outcomes of endometrial cancer in Korea: a nationwide population-based cohort study
Seung-Hyuk SHIM ; Jiwon LIM ; Ji Hyun KIM ; Yeon Jee LEE ; Hyeong In HA ; Myong Cheol LIM ; Young-Joo WON
Journal of Gynecologic Oncology 2024;35(3):e32-
Objective:
To evaluate trends in the incidence and survival outcomes of endometrial cancer (EC) based on the year of diagnosis, stage, age, and histologic types.
Methods:
Women with primary EC diagnosed between 1999 and 2018, and who were followed up with until 2019, were identified from the Korea Central Cancer Registry using the International Classification of Diseases, 10th revision. The age-standardized rates (ASRs) of incidence, annual percent changes (APCs), and survival were estimated according to age, stage, histology, and year of diagnosis.
Results:
The ASR for EC increased from 2.38 per 100,000 in 1999 to 7.29 per 100,000 in 2018 across all histologic types (APCs of 9.82, 15.97, and 7.73 for endometrioid, serous, and clear cell, respectively, p<0.001). There were significant differences in the 5-year survival rates based on histology (90.9%, 55.0%, and 68.5% for endometrioid, serous, and clear cell, respectively, p<0.001), stage (93.4%, 77.0%, and 31.0% for localized, regional, and distant, respectively, p<0.001), and age (93.0% for <50 years and 80.6% for ≥50 years, p<0.001). The 5-year survival was significantly better in the group diagnosed between 2000 and 2018 (85.9%) than that in the 1999–2008 group (83.3%) (p<0.001). This trend was only observed for endometrioid cancer (p<0.001).
Conclusion
The incidence of EC increased across the all 3 subtypes. Survival of patients with endometrioid histology improved over the past two decades, but remained static for serous or clear cell histology. Healthcare strategies to prevent EC incidence in at-risk populations and apply effective treatments for high-risk histology are needed.
9.Role of Lymphatic Embolization in Chylothorax Associated with Gorham–Stout Disease:A Case Report
Min-Hyuk YU ; Dongho HYUN ; Sun-Hye SHIN ; Sang-Yun HA
Journal of the Korean Society of Radiology 2024;85(2):451-455
A 45-year-old male patient with spontaneous chylothorax and osteolysis in the right 1st and 2nd ribs was diagnosed with Gorham–Stout disease based on clinical manifestations and bone biopsy. The chylothorax temporarily decreased after a successful selective lymphatic embolization. The patient presented with recurrent chylothorax, mild chest discomfort, and progressive osteolysis (despite administering sirolimus) during the follow-up period of 15 months.
10.An Artificial Intelligence-Based Automated Echocardiographic Analysis: Enhancing Efficiency and Prognostic Evaluation in Patients With Revascularized STEMI
Yeonggul JANG ; Hyejung CHOI ; Yeonyee E. YOON ; Jaeik JEON ; Hyejin KIM ; Jiyeon KIM ; Dawun JEONG ; Seongmin HA ; Youngtaek HONG ; Seung-Ah LEE ; Jiesuck PARK ; Wonsuk CHOI ; Hong-Mi CHOI ; In-Chang HWANG ; Goo-Yeong CHO ; Hyuk-Jae CHANG
Korean Circulation Journal 2024;54(11):743-756
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.

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