2.Diagnostic Ability and Correlation of Digital 11C-Methionine PET/CT in Primary Hyperparathyroidism with Inconclusive Standard Imaging
Hee Beom JEONG ; Yong-il KIM ; Soyoon YOON ; Dong Yun LEE ; Beom-Jun KIM ; Seung Hun LEE ; Jin-Sook RYU
Nuclear Medicine and Molecular Imaging 2025;59(1):72-78
Purpose:
11C-Methionine PET/CT is a promising method for detecting parathyroid lesions in patients with primary hyperparathyroidism (PHPT). We aimed to determine the diagnostic ability and correlation of digital 11C-Methionine PET/CT for parathyroid lesions in patients with PHPT, particularly in cases where standard imaging methods yielded inconclusive results.
Methods:
This retrospective analysis was conducted on patients diagnosed with PHPT who underwent digital 11C-Methionine PET/CT imaging because of ambiguous results on standard imaging work-up ( 99m Tc-MIBI parathyroid scan and/or neck ultrasonography). Quantitative 11C-Methionine PET/CT parameters, including maximum standardized uptake value (SUVmax), mean SUV (SUVmean), peak SUV (SUVpeak), parathyroid methionine volume (PMV), and whole methionine uptake(WMU: PMV multiplied by SUVmean) were calculated with various thresholds, and their correlations with biochemical andpathologic parameters were investigated.
Results:
This study included 22 consecutive patients (10 men and 12 women) with a median age of 64.0 years. The lesion detection rate and sensitivity of digital 11C-Methionine PET/CT were 81.8% (18/22) and 100.0% (18/18), respectively.Quantitative analysis revealed that serum PTH (r = 0.490, P = 0.039) and serum calcium (r = 0.583, P = 0.011) were signifi-cantly correlated with PMV50%.
Conclusion
Digital 11C-Methionine PET/CT offers good performance in the detection of parathyroid lesions in PHPT patients with inconclusive standard imaging work-up. The volume parameter of PMV50% significantly correlated biochemi-cal parameters and can serve as a complementary diagnostic tool.
3.Resveratrol attenuates aging-induced mitochondrial dysfunction and mitochondria-mediated apoptosis in the rat heart
Youngju CHOI ; Mi-Hyun NO ; Jun-Won HEO ; Eun-Jeong CHO ; Dong-Ho PARK ; Ju-Hee KANG ; Chang-Ju KIM ; Dae Yun SEO ; Jin HAN ; Hyo-Bum KWAK
Nutrition Research and Practice 2025;19(2):186-199
RESULTS:
Resveratrol significantly reduced cardiac hypertrophy and remodeling in aging hearts. In addition, resveratrol significantly ameliorated aging-induced mitochondrial dysfunction (e.g., decreased oxygen respiration and increased hydrogen peroxide emission) and mitochondria-dependent apoptotic signaling (the Bax/Bcl-2 ratio, mitochondrial permeability transition pore opening sensitivity, and cleaved caspase-3 protein levels).Resveratrol also significantly attenuated aging-induced apoptosis (determined via cleaved caspase-3 staining and TUNEL-positive myonuclei) in cardiac muscles.
CONCLUSION
This study demonstrates that resveratrol treatment has a beneficial effect on aging-induced cardiac remodeling by ameliorating mitochondrial dysfunction and inhibiting mitochondria-mediated apoptosis in the heart.
4.Clinical evaluation and management of endometriosis: 2024 guideline for Korean patients from the Korean Society of Endometriosis
Hyun Joo LEE ; Sang-Hee YOON ; Jae Hoon LEE ; Youn-Jee CHUNG ; So Yun PARK ; Sung Woo KIM ; Yeon Hee HONG ; Sung Eun KIM ; Youjin KIM ; Sungwook CHUN ; Yong Jin NA
Obstetrics & Gynecology Science 2025;68(1):43-58
Endometriosis, a prevalent but debilitating condition affecting women, poses significant challenges in diagnosis and management. The current 2024 guideline, developed by the Korean Society of Endometriosis (KSE), builds upon the 2018 KSE guideline. This guideline aims to provide customized recommendations tailored to Korea’s unique clinical aspects and medical environment, and addresses key areas such as diagnosis, medical and surgical management, considerations for special populations, and its complex relationship with cancer.
5.Synthetic data production for biomedical research
Yun Gyeong LEE ; Mi-Sook KWAK ; Jeong Eun KIM ; Min Sun KIM ; Dong Un NO ; Hee Youl CHAI
Osong Public Health and Research Perspectives 2025;16(2):94-99
Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information.Although synthetic data does not consist of actual data points, it is derived from original datasets, thereby enabling analyses that yield results comparable to those obtained with real data. Synthetic datasets are evaluated based on their utility—a measure of how effectively they mirror real data for analytical purposes. This paper presents the generation of synthetic datasets through the Healthcare Big Data Showcase Project (2019–2023). The original dataset comprises comprehensive multi-omics data from 400 individuals, including cancer survivors, chronic disease patients, and healthy participants. Synthetic data facilitates efficient access and robust analyses, serving as a practical tool for research and education. It addresses privacy concerns, supports AI research, and provides a foundation for innovative applications across diverse fields, such as public health and precision medicine.
7.Diagnostic Ability and Correlation of Digital 11C-Methionine PET/CT in Primary Hyperparathyroidism with Inconclusive Standard Imaging
Hee Beom JEONG ; Yong-il KIM ; Soyoon YOON ; Dong Yun LEE ; Beom-Jun KIM ; Seung Hun LEE ; Jin-Sook RYU
Nuclear Medicine and Molecular Imaging 2025;59(1):72-78
Purpose:
11C-Methionine PET/CT is a promising method for detecting parathyroid lesions in patients with primary hyperparathyroidism (PHPT). We aimed to determine the diagnostic ability and correlation of digital 11C-Methionine PET/CT for parathyroid lesions in patients with PHPT, particularly in cases where standard imaging methods yielded inconclusive results.
Methods:
This retrospective analysis was conducted on patients diagnosed with PHPT who underwent digital 11C-Methionine PET/CT imaging because of ambiguous results on standard imaging work-up ( 99m Tc-MIBI parathyroid scan and/or neck ultrasonography). Quantitative 11C-Methionine PET/CT parameters, including maximum standardized uptake value (SUVmax), mean SUV (SUVmean), peak SUV (SUVpeak), parathyroid methionine volume (PMV), and whole methionine uptake(WMU: PMV multiplied by SUVmean) were calculated with various thresholds, and their correlations with biochemical andpathologic parameters were investigated.
Results:
This study included 22 consecutive patients (10 men and 12 women) with a median age of 64.0 years. The lesion detection rate and sensitivity of digital 11C-Methionine PET/CT were 81.8% (18/22) and 100.0% (18/18), respectively.Quantitative analysis revealed that serum PTH (r = 0.490, P = 0.039) and serum calcium (r = 0.583, P = 0.011) were signifi-cantly correlated with PMV50%.
Conclusion
Digital 11C-Methionine PET/CT offers good performance in the detection of parathyroid lesions in PHPT patients with inconclusive standard imaging work-up. The volume parameter of PMV50% significantly correlated biochemi-cal parameters and can serve as a complementary diagnostic tool.
8.Resveratrol attenuates aging-induced mitochondrial dysfunction and mitochondria-mediated apoptosis in the rat heart
Youngju CHOI ; Mi-Hyun NO ; Jun-Won HEO ; Eun-Jeong CHO ; Dong-Ho PARK ; Ju-Hee KANG ; Chang-Ju KIM ; Dae Yun SEO ; Jin HAN ; Hyo-Bum KWAK
Nutrition Research and Practice 2025;19(2):186-199
RESULTS:
Resveratrol significantly reduced cardiac hypertrophy and remodeling in aging hearts. In addition, resveratrol significantly ameliorated aging-induced mitochondrial dysfunction (e.g., decreased oxygen respiration and increased hydrogen peroxide emission) and mitochondria-dependent apoptotic signaling (the Bax/Bcl-2 ratio, mitochondrial permeability transition pore opening sensitivity, and cleaved caspase-3 protein levels).Resveratrol also significantly attenuated aging-induced apoptosis (determined via cleaved caspase-3 staining and TUNEL-positive myonuclei) in cardiac muscles.
CONCLUSION
This study demonstrates that resveratrol treatment has a beneficial effect on aging-induced cardiac remodeling by ameliorating mitochondrial dysfunction and inhibiting mitochondria-mediated apoptosis in the heart.
9.Clinical evaluation and management of endometriosis: 2024 guideline for Korean patients from the Korean Society of Endometriosis
Hyun Joo LEE ; Sang-Hee YOON ; Jae Hoon LEE ; Youn-Jee CHUNG ; So Yun PARK ; Sung Woo KIM ; Yeon Hee HONG ; Sung Eun KIM ; Youjin KIM ; Sungwook CHUN ; Yong Jin NA
Obstetrics & Gynecology Science 2025;68(1):43-58
Endometriosis, a prevalent but debilitating condition affecting women, poses significant challenges in diagnosis and management. The current 2024 guideline, developed by the Korean Society of Endometriosis (KSE), builds upon the 2018 KSE guideline. This guideline aims to provide customized recommendations tailored to Korea’s unique clinical aspects and medical environment, and addresses key areas such as diagnosis, medical and surgical management, considerations for special populations, and its complex relationship with cancer.
10.Synthetic data production for biomedical research
Yun Gyeong LEE ; Mi-Sook KWAK ; Jeong Eun KIM ; Min Sun KIM ; Dong Un NO ; Hee Youl CHAI
Osong Public Health and Research Perspectives 2025;16(2):94-99
Synthetic data, generated using advanced artificial intelligence (AI) techniques, replicates the statistical properties of real-world datasets while excluding identifiable information.Although synthetic data does not consist of actual data points, it is derived from original datasets, thereby enabling analyses that yield results comparable to those obtained with real data. Synthetic datasets are evaluated based on their utility—a measure of how effectively they mirror real data for analytical purposes. This paper presents the generation of synthetic datasets through the Healthcare Big Data Showcase Project (2019–2023). The original dataset comprises comprehensive multi-omics data from 400 individuals, including cancer survivors, chronic disease patients, and healthy participants. Synthetic data facilitates efficient access and robust analyses, serving as a practical tool for research and education. It addresses privacy concerns, supports AI research, and provides a foundation for innovative applications across diverse fields, such as public health and precision medicine.

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