Background: and Purpose Treatments for neuromyelitis optica spectrum disorder (NMOSD) such as eculizumab, ravulizumab, satralizumab, and inebilizumab have significantly advanced relapse prevention, but they remain expensive. Rituximab is an off-label yet popular alternative that offers a cost-effective solution, but its real-world efficacy needs better quantification for guiding the application of newer approved NMOSD treatments (ANTs). This study aimed to determine real-world rituximab failure rates to anticipate the demand for ANTs and aid in resource allocation. Methods: We conducted a nationwide retrospective study involving 605 aquaporin-4-antibody-positive NMOSD patients from 22 centers in South Korea that assessed the efficacy and safety of rituximab over a median follow-up of 47 months. Results: The 605 patients treated with rituximab included 525 (87%) who received continuous therapy throughout the follow-up period (median=47 months, interquartile range=15–87 months). During this period, 117 patients (19%) experienced at least 1 relapse. Notably, 68 of these patients (11% of the total cohort) experienced multiple relapses or at least 1 severe relapse.Additionally, 2% of the patients discontinued rituximab due to adverse events, which included severe infusion reactions, neutropenia, and infections. Conclusions This study has confirmed the efficacy of rituximab in treating NMOSD, as evidenced by an 87% continuation rate among patients over a 4-year follow-up period. Nevertheless, the occurrence of at least one relapse in 19% of the cohort, including 11% who experienced multiple or severe relapses, and a 2% discontinuation rate due to adverse events highlight the urgent need for alternative therapeutic options.

Background: Histone deacetylase (HDAC) inhibition offers potential anticancer effects across diverse cancers due to HDAC's significant role in cancer development and progression. Consequently, we demonstrated the therapeutic efficacy of the novel HDAC inhibitor, CG-745, in comparison with existing inhibitors such as suberoylanilide hydroxamic acid (SAHA) in non-small cell lung cancer (NSCLC) cells. Methods: CG-745's effect on apoptosis and reactive oxygen species (ROS)-dependent mitochondrial dysfunction was investigated using annexin V assay, MitoSoX, and Western blot in human A549 and H460 cells. Additionally, HDAC expression was analyzed through real-time polymerase chain reaction. We also evaluated the inhibitory effect of CG-745 on epithelial-mesenchymal transition (EMT) induced by transforming growth factor β1 (TGF-β1) via Western blot, scratch analysis, and matrigel invasion analysis. Results: Compared to SAHA, CG-745 inhibited cell viability and mRNA expression of HDACs such as HDAC1, HDAC2, HDAC3, and HDAC8. It also induced apoptosis, ROS, and mitochondrial dysfunction in a concentration-dependent manner. CG-745 reversed EMT triggered by TGF-β1 in A549 and H460 cells, and curtailed the migration and invasion enhanced by TGF-β1. CG-745 has demonstrably inhibited EMT and induced apoptosis in NSCLC cells. Conclusion CG-745 may represent a novel therapeutic strategy for NSCLC treatment.

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.

Osteoporosis management in post-menopausal women focuses on fracture prevention, with denosumab as a key therapeutic option. Despite its proven efficacy in reducing fracture risk and increasing bone mineral density (BMD) over 10 years, its long-term impact remains uncertain. We evaluated the literature on its efficacy and safety beyond the initial decade. Clinical trials and real-world studies confirm denosumab’s sustained efficacy, especially in lumbar spine BMD, with hip BMD stabilizing. Concerns about adverse events (AEs) like hypocalcemia and osteonecrosis of the jaw necessitate vigilant monitoring. Risks of atypical femoral fractures and malignancies also require attention, despite unclear links to treatment duration. Clinical guidelines for denosumab beyond 10 years are limited, emphasizing the need for careful monitoring. In certain scenarios, such as advanced chronic kidney disease, prolonged denosumab may be required to balance AE risks with fracture prevention benefits. Denosumab shows potential for long-term efficacy in augmenting BMD; however, monitoring for AEs is crucial to guide clinical decision-making effectively.

Background: Histone deacetylase (HDAC) inhibition offers potential anticancer effects across diverse cancers due to HDAC's significant role in cancer development and progression. Consequently, we demonstrated the therapeutic efficacy of the novel HDAC inhibitor, CG-745, in comparison with existing inhibitors such as suberoylanilide hydroxamic acid (SAHA) in non-small cell lung cancer (NSCLC) cells. Methods: CG-745's effect on apoptosis and reactive oxygen species (ROS)-dependent mitochondrial dysfunction was investigated using annexin V assay, MitoSoX, and Western blot in human A549 and H460 cells. Additionally, HDAC expression was analyzed through real-time polymerase chain reaction. We also evaluated the inhibitory effect of CG-745 on epithelial-mesenchymal transition (EMT) induced by transforming growth factor β1 (TGF-β1) via Western blot, scratch analysis, and matrigel invasion analysis. Results: Compared to SAHA, CG-745 inhibited cell viability and mRNA expression of HDACs such as HDAC1, HDAC2, HDAC3, and HDAC8. It also induced apoptosis, ROS, and mitochondrial dysfunction in a concentration-dependent manner. CG-745 reversed EMT triggered by TGF-β1 in A549 and H460 cells, and curtailed the migration and invasion enhanced by TGF-β1. CG-745 has demonstrably inhibited EMT and induced apoptosis in NSCLC cells. Conclusion CG-745 may represent a novel therapeutic strategy for NSCLC treatment.

Background: Histone deacetylase (HDAC) inhibition offers potential anticancer effects across diverse cancers due to HDAC's significant role in cancer development and progression. Consequently, we demonstrated the therapeutic efficacy of the novel HDAC inhibitor, CG-745, in comparison with existing inhibitors such as suberoylanilide hydroxamic acid (SAHA) in non-small cell lung cancer (NSCLC) cells. Methods: CG-745's effect on apoptosis and reactive oxygen species (ROS)-dependent mitochondrial dysfunction was investigated using annexin V assay, MitoSoX, and Western blot in human A549 and H460 cells. Additionally, HDAC expression was analyzed through real-time polymerase chain reaction. We also evaluated the inhibitory effect of CG-745 on epithelial-mesenchymal transition (EMT) induced by transforming growth factor β1 (TGF-β1) via Western blot, scratch analysis, and matrigel invasion analysis. Results: Compared to SAHA, CG-745 inhibited cell viability and mRNA expression of HDACs such as HDAC1, HDAC2, HDAC3, and HDAC8. It also induced apoptosis, ROS, and mitochondrial dysfunction in a concentration-dependent manner. CG-745 reversed EMT triggered by TGF-β1 in A549 and H460 cells, and curtailed the migration and invasion enhanced by TGF-β1. CG-745 has demonstrably inhibited EMT and induced apoptosis in NSCLC cells. Conclusion CG-745 may represent a novel therapeutic strategy for NSCLC treatment.

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.

Osteoporosis management in post-menopausal women focuses on fracture prevention, with denosumab as a key therapeutic option. Despite its proven efficacy in reducing fracture risk and increasing bone mineral density (BMD) over 10 years, its long-term impact remains uncertain. We evaluated the literature on its efficacy and safety beyond the initial decade. Clinical trials and real-world studies confirm denosumab’s sustained efficacy, especially in lumbar spine BMD, with hip BMD stabilizing. Concerns about adverse events (AEs) like hypocalcemia and osteonecrosis of the jaw necessitate vigilant monitoring. Risks of atypical femoral fractures and malignancies also require attention, despite unclear links to treatment duration. Clinical guidelines for denosumab beyond 10 years are limited, emphasizing the need for careful monitoring. In certain scenarios, such as advanced chronic kidney disease, prolonged denosumab may be required to balance AE risks with fracture prevention benefits. Denosumab shows potential for long-term efficacy in augmenting BMD; however, monitoring for AEs is crucial to guide clinical decision-making effectively.

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.

Osteoporosis management in post-menopausal women focuses on fracture prevention, with denosumab as a key therapeutic option. Despite its proven efficacy in reducing fracture risk and increasing bone mineral density (BMD) over 10 years, its long-term impact remains uncertain. We evaluated the literature on its efficacy and safety beyond the initial decade. Clinical trials and real-world studies confirm denosumab’s sustained efficacy, especially in lumbar spine BMD, with hip BMD stabilizing. Concerns about adverse events (AEs) like hypocalcemia and osteonecrosis of the jaw necessitate vigilant monitoring. Risks of atypical femoral fractures and malignancies also require attention, despite unclear links to treatment duration. Clinical guidelines for denosumab beyond 10 years are limited, emphasizing the need for careful monitoring. In certain scenarios, such as advanced chronic kidney disease, prolonged denosumab may be required to balance AE risks with fracture prevention benefits. Denosumab shows potential for long-term efficacy in augmenting BMD; however, monitoring for AEs is crucial to guide clinical decision-making effectively.