Background: This study aimed to evaluate the applicability of deep learning technology to thyroid ultrasound images for classification of thyroid nodules. Methods: This retrospective analysis included ultrasound images of patients with thyroid nodules investigated by fine-needle aspiration at the thyroid clinic of a single center from April 2010 to September 2012. Thyroid nodules with cytopathologic results of Bethesda category V (suspicious for malignancy) or VI (malignant) were defined as thyroid cancer. Multiple deep learning algorithms based on convolutional neural networks (CNNs) —ResNet, DenseNet, and EfficientNet—were utilized, and Siamese neural networks facilitated multi-view analysis of paired transverse and longitudinal ultrasound images. Results: Among 1,048 analyzed thyroid nodules from 943 patients, 306 (29%) were identified as thyroid cancer. In a subgroup analysis of transverse and longitudinal images, longitudinal images showed superior prediction ability. Multi-view modeling, based on paired transverse and longitudinal images, significantly improved the model performance; with an accuracy of 0.82 (95% confidence intervals [CI], 0.80 to 0.86) with ResNet50, 0.83 (95% CI, 0.83 to 0.88) with DenseNet201, and 0.81 (95% CI, 0.79 to 0.84) with EfficientNetv2_ s. Training with high-resolution images obtained using the latest equipment tended to improve model performance in association with increased sensitivity. Conclusion CNN algorithms applied to ultrasound images demonstrated substantial accuracy in thyroid nodule classification, indicating their potential as valuable tools for diagnosing thyroid cancer. However, in real-world clinical settings, it is important to aware that model performance may vary depending on the quality of images acquired by different physicians and imaging devices.

Progesterone hypersensitivity is mediated by type I, III, and IV hypersensitivity reactions to endogenous or exogenous progesterone, involving autoimmune mechanisms in females of reproductive age. It presents with a range of dermatologic manifestations, most commonly urticaria, angioedema, eczema, and maculopapular rashes. Systemic and severe symptoms, such as generalized erythema multiforme or lesions resembling severe cutaneous adverse reactions, have rarely been reported. We describe a case of a 42-year-old woman who developed drug reaction with eosinophilia and systemic symptoms (DRESS) following exogenous progesterone therapy administered for assisted reproduction. She received high-dose subcutaneous progesterone and vaginal tablets. Despite this being her first procedure, she achieved pregnancy. However, at 8 weeks of gestation and during the third month of progesterone treatment, she developed generalized erythema multiforme, pruritus, and high-grade fever. Her laboratory findings showed increased blood eosinophil counts and inflammatory markers. After oral corticosteroid (OCS) treatment for several weeks, her skin lesions were partially improved. However, after tapering of OCS, her skin lesions were aggravated with increased blood eosinophil counts. Despite daily OCS (prednisolone, 12.5–60 mg/day) treatment after childbirth, her skin symptoms and eosinophilia persisted. Reslizumab treatment was also attempted, but only the eosinophilia resolved. These clinical findings were much improved after Janus kinase (JAK) inhibitor (upadacitinib 15 mg/day) treatment; consequently, OCS was stopped. Here, we report a case of relapsing DRESS triggered by exogenous progesterone, which has been controlled by JAK inhibitor treatment.

Cat-pork syndrome is an uncommon food allergy induced by red meat (pork/beef) that cross-reacts with cat/dog allergens, which is mediated by immunoglobulin E (IgE) response to the cat/dog albumin component. We report 2 cases of cat-pork syndrome occurred in adult pet breeders. They had suffered from allergic rhinitis/atopic dermatitis sensitive to cat/dog dander as well as house dust mites for several years, during which an immediate type of food allergy due to red meats developed whenever taking pork or beef. ImmunoCAP results showed the increased levels of serum-specific IgE to pork and beef allergens (f26, f27) as well as cat and dog dander (e1, e5); moreover, increased level of serum-specific IgE to the cat albumin component (e224) was noted. In conclusion, cat-food allergy can be found in allergic patients among whom are sensitive to cats and dogs and develop food allergy due to red meat.

Background: Barriers to treatment with intravenous thrombolysis (IVT) for patients with acute ischemic stroke (AIS) in South Korea remain incompletely characterized. We analyze a nationwide prospective cohort to determine patient-level features associated with delayed presentation and non-treatment of potential IVT-eligible patients. Methods: We identified consecutive patients with AIS from 01/2011 to 08/2023 from a multicenter and prospective acute stroke registry in Korea. Patients were defined as IVT candidates if they presented within 4.5 hours from the last known well, had no lab evidence of coagulopathy, and had National Institute of Health Stroke Scale (NIHSS) ≥ 4. Multivariable generalized linear mixed regression models were used to investigate the associations between their characteristics and the IVT candidates or the use of IVT among the candidates. Results: Among 84,103 AIS patients, 41.0% were female, with a mean age of 69 ± 13 years and presentation NIHSS of 4 [interquartile range, 1–8]. Out of these patients, 13,757 (16.4%) were eligible for IVT, of whom 8,179 (59.5%) received IVT. Female sex (adjusted risk ratio [RR], 0.90; 95% confidence interval [CI], 0.86–0.94) and lower years of education (adjusted RR, 0.90; 95% CI, 0.84–0.97 for 0–3 years, compared to ≥ 13 years) were associated with a decreased likelihood of presenting as eligible for IVT after AIS; meanwhile, young age (adjusted RR, 1.12; 95% CI, 1.01–1.24 for ≤ 44 years, compared to 75–84 years) was associated with an increased likelihood of being an IVT candidate. Among those who were eligible for IVT, only age was significantly associated with the use of IVT (adjusted RR, 1.09; 95% CI, 1.03–1.16 for age 65–74 and adjusted RR, 0.83; 95% CI, 0.76–0.90 for ≥ 85 years, respectively). Conclusion Most patients with AIS present outside IVT eligibility in South Korea, and only 60% of eligible patients were ultimately treated. We identified increased age, female sex and lower education as key features on which to focus interventions for improving IVT utilization.

Background: Barriers to treatment with intravenous thrombolysis (IVT) for patients with acute ischemic stroke (AIS) in South Korea remain incompletely characterized. We analyze a nationwide prospective cohort to determine patient-level features associated with delayed presentation and non-treatment of potential IVT-eligible patients. Methods: We identified consecutive patients with AIS from 01/2011 to 08/2023 from a multicenter and prospective acute stroke registry in Korea. Patients were defined as IVT candidates if they presented within 4.5 hours from the last known well, had no lab evidence of coagulopathy, and had National Institute of Health Stroke Scale (NIHSS) ≥ 4. Multivariable generalized linear mixed regression models were used to investigate the associations between their characteristics and the IVT candidates or the use of IVT among the candidates. Results: Among 84,103 AIS patients, 41.0% were female, with a mean age of 69 ± 13 years and presentation NIHSS of 4 [interquartile range, 1–8]. Out of these patients, 13,757 (16.4%) were eligible for IVT, of whom 8,179 (59.5%) received IVT. Female sex (adjusted risk ratio [RR], 0.90; 95% confidence interval [CI], 0.86–0.94) and lower years of education (adjusted RR, 0.90; 95% CI, 0.84–0.97 for 0–3 years, compared to ≥ 13 years) were associated with a decreased likelihood of presenting as eligible for IVT after AIS; meanwhile, young age (adjusted RR, 1.12; 95% CI, 1.01–1.24 for ≤ 44 years, compared to 75–84 years) was associated with an increased likelihood of being an IVT candidate. Among those who were eligible for IVT, only age was significantly associated with the use of IVT (adjusted RR, 1.09; 95% CI, 1.03–1.16 for age 65–74 and adjusted RR, 0.83; 95% CI, 0.76–0.90 for ≥ 85 years, respectively). Conclusion Most patients with AIS present outside IVT eligibility in South Korea, and only 60% of eligible patients were ultimately treated. We identified increased age, female sex and lower education as key features on which to focus interventions for improving IVT utilization.

Purpose: Since 1995, the Korean Gastric Cancer Association (KGCA) has been periodically conducting nationwide surveys on patients with surgically treated gastric cancer. This study details the results of the survey conducted in 2023. Materials and Methods: The survey was conducted from March to December 2024 using a standardized case report form. Data were collected on 86 items, including patient demographics, tumor characteristics, surgical procedures, and surgical outcomes. The results of the 2023 survey were compared with those of previous surveys. Results: Data from 12,751 cases were collected from 66 institutions. The mean patient age was 64.6 years, and the proportion of patients aged ≥71 years increased from 9.1% in 1995 to 31.7% in 2023. The proportion of upper-third tumors slightly decreased to 16.8% compared to 20.9% in 2019. Early gastric cancer accounted for 63.1% of cases in 2023.Regarding operative procedures, a totally laparoscopic approach was most frequently applied (63.2%) in 2023, while robotic gastrectomy steadily increased to 9.5% from 2.1% in 2014.The most common anastomotic method was the Billroth II procedure (48.8%) after distal gastrectomy and double-tract reconstruction (51.9%) after proximal gastrectomy in 2023.However, the proportion of esophago-gastrostomy with anti-reflux procedures increased to 30.9%. The rates of post-operative mortality and overall complications were 1.0% and 15.3%, respectively. Conclusions The results of the 2023 nationwide survey demonstrate the current status of gastric cancer treatment in Korea. This information will provide a basis for future gastric cancer research.

Background: This study aimed to evaluate the applicability of deep learning technology to thyroid ultrasound images for classification of thyroid nodules. Methods: This retrospective analysis included ultrasound images of patients with thyroid nodules investigated by fine-needle aspiration at the thyroid clinic of a single center from April 2010 to September 2012. Thyroid nodules with cytopathologic results of Bethesda category V (suspicious for malignancy) or VI (malignant) were defined as thyroid cancer. Multiple deep learning algorithms based on convolutional neural networks (CNNs) —ResNet, DenseNet, and EfficientNet—were utilized, and Siamese neural networks facilitated multi-view analysis of paired transverse and longitudinal ultrasound images. Results: Among 1,048 analyzed thyroid nodules from 943 patients, 306 (29%) were identified as thyroid cancer. In a subgroup analysis of transverse and longitudinal images, longitudinal images showed superior prediction ability. Multi-view modeling, based on paired transverse and longitudinal images, significantly improved the model performance; with an accuracy of 0.82 (95% confidence intervals [CI], 0.80 to 0.86) with ResNet50, 0.83 (95% CI, 0.83 to 0.88) with DenseNet201, and 0.81 (95% CI, 0.79 to 0.84) with EfficientNetv2_ s. Training with high-resolution images obtained using the latest equipment tended to improve model performance in association with increased sensitivity. Conclusion CNN algorithms applied to ultrasound images demonstrated substantial accuracy in thyroid nodule classification, indicating their potential as valuable tools for diagnosing thyroid cancer. However, in real-world clinical settings, it is important to aware that model performance may vary depending on the quality of images acquired by different physicians and imaging devices.

Progesterone hypersensitivity is mediated by type I, III, and IV hypersensitivity reactions to endogenous or exogenous progesterone, involving autoimmune mechanisms in females of reproductive age. It presents with a range of dermatologic manifestations, most commonly urticaria, angioedema, eczema, and maculopapular rashes. Systemic and severe symptoms, such as generalized erythema multiforme or lesions resembling severe cutaneous adverse reactions, have rarely been reported. We describe a case of a 42-year-old woman who developed drug reaction with eosinophilia and systemic symptoms (DRESS) following exogenous progesterone therapy administered for assisted reproduction. She received high-dose subcutaneous progesterone and vaginal tablets. Despite this being her first procedure, she achieved pregnancy. However, at 8 weeks of gestation and during the third month of progesterone treatment, she developed generalized erythema multiforme, pruritus, and high-grade fever. Her laboratory findings showed increased blood eosinophil counts and inflammatory markers. After oral corticosteroid (OCS) treatment for several weeks, her skin lesions were partially improved. However, after tapering of OCS, her skin lesions were aggravated with increased blood eosinophil counts. Despite daily OCS (prednisolone, 12.5–60 mg/day) treatment after childbirth, her skin symptoms and eosinophilia persisted. Reslizumab treatment was also attempted, but only the eosinophilia resolved. These clinical findings were much improved after Janus kinase (JAK) inhibitor (upadacitinib 15 mg/day) treatment; consequently, OCS was stopped. Here, we report a case of relapsing DRESS triggered by exogenous progesterone, which has been controlled by JAK inhibitor treatment.