Connective tissue disease (CTD), comprising a range of autoimmune disorders, is often accompanied by lung involvement, which can lead to life-threatening complications. The primary types of CTDs that manifest as interstitial lung disease (ILD) include rheumatoid arthritis, systemic sclerosis, Sjögren’s syndrome, mixed CTD, idiopathic inflammatory myopathies, and systemic lupus erythematosus. CTD-ILD presents a significant challenge in clinical diagnosis and management due to its heterogeneous nature and variable prognosis. Early diagnosis through clinical, serological, and radiographic assessments is crucial for distinguishing CTD-ILD from idiopathic forms and for implementing appropriate therapeutic strategies. Hence, we have reviewed the multiple clinical manifestations and diagnostic approaches for each type of CTD-ILD, acknowledging the diversity and complexity of the disease. The importance of a multidisciplinary approach in optimizing the management of CTD-ILD is emphasized by recent therapeutic advancements, which include immunosuppressive agents, antifibrotic therapies, and newer biological agents targeting specific pathways involved in the pathogenesis. Therapeutic strategies should be customized according to the type of CTD, the extent of lung involvement, and the presence of extrapulmonary manifestations. Additionally, we aimed to provide clinical guidance, including therapeutic recommendations, for the effective management of CTD-ILD, based on patient, intervention, comparison, outcome (PICO) analysis.

Connective tissue disease (CTD), comprising a range of autoimmune disorders, is often accompanied by lung involvement, which can lead to life-threatening complications. The primary types of CTDs that manifest as interstitial lung disease (ILD) include rheumatoid arthritis, systemic sclerosis, Sjögren’s syndrome, mixed CTD, idiopathic inflammatory myopathies, and systemic lupus erythematosus. CTD-ILD presents a significant challenge in clinical diagnosis and management due to its heterogeneous nature and variable prognosis. Early diagnosis through clinical, serological, and radiographic assessments is crucial for distinguishing CTD-ILD from idiopathic forms and for implementing appropriate therapeutic strategies. Hence, we have reviewed the multiple clinical manifestations and diagnostic approaches for each type of CTD-ILD, acknowledging the diversity and complexity of the disease. The importance of a multidisciplinary approach in optimizing the management of CTD-ILD is emphasized by recent therapeutic advancements, which include immunosuppressive agents, antifibrotic therapies, and newer biological agents targeting specific pathways involved in the pathogenesis. Therapeutic strategies should be customized according to the type of CTD, the extent of lung involvement, and the presence of extrapulmonary manifestations. Additionally, we aimed to provide clinical guidance, including therapeutic recommendations, for the effective management of CTD-ILD, based on patient, intervention, comparison, outcome (PICO) analysis.

Objectives: This study aimed to explore factors influencing satisfaction with medical services among medically underserved populations at the free medical clinic, providing data to improve free medical services for these populations. Methods: We employed a descriptive correlational study design involving 112 individuals (aged 19 years and older) from medically underserved populations who visited the clinic. Data were collected through face-to-face surveys from September to October 2023, and statistical analyses (t-tests, analysis of variance, Pearson correlation, and hierarchical multiple regression) were used to identify key predictors of satisfaction. Results: Perceived support from healthcare providers emerged as the strongest predictor ofsatisfaction with medical services, demonstrating a significant positive association. While socialsupport was positively correlated with perceived support from healthcare providers, it did not independently predict satisfaction. Conclusion These findings underscore the importance of healthcare provider and social supportin increasing satisfaction with medical services among medically underserved populations.Developing tailored healthcare programs and specialized healthcare provider training are essential strategies to improve healthcare access and outcomes for these vulnerable groups.

Background: Studies comparing the minimally invasive proximal chevron and Akin osteotomies (MIPCA) technique with conventional techniques, such as the open proximal chevron metatarsal osteotomy with the Akin procedure (open PCMO-Akin procedure), are limited. This study aimed to compare and evaluate operative MIPCA and open PCMO-Akin procedure outcomes in the surgical correction of moderate-to-severe hallux valgus deformities. Methods: We conducted a retrospective comparison of clinical and radiographic outcomes between the MIPCA and open PCMOAkin procedure in patients with a hallux valgus deformity, defined as a preoperative hallux valgus angle (HVA) of ≥ 30° and/or a first to second intermetatarsal angle of ≥ 13°. The postoperative complication rate was monitored in both groups for a minimum of 12 months. An unsatisfactory correction was defined as an HVA > 15° at final follow-up. Results: We assigned 58 and 99 patients to the MIPCA or open PCMO-Akin procedure group, respectively. At final follow-up, no significant differences were observed between the groups in terms of clinical and radiographic parameters (p > 0.05), with the exception of the distal metatarsal articular angle (DMAA) (p = 0.012). No statistically significant postoperative changes in the DMAA were observed in the MIPCA group (p = 0.875). Five patients (5.1%) experienced postoperative hallux varus in the open PCMO-Akin procedure group, whereas no such cases were observed in the MIPCA group. No statistically significant difference in the rate of unsatisfactory correction was observed between the groups at the final follow-up (MIPCA group, 15.5%; open PCMO-Akin procedure group, 10.1%; p = 0.315). Conclusions The MIPCA technique is a viable alternative to the open PCMO-Akin procedure for correcting moderate-to-severe hallux valgus deformities. Given the potential lack of postoperative changes in the DMAA following the MIPCA technique, careful consideration is advised when applying this technique to patients with a large DMAA.

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.

Background: Studies comparing the minimally invasive proximal chevron and Akin osteotomies (MIPCA) technique with conventional techniques, such as the open proximal chevron metatarsal osteotomy with the Akin procedure (open PCMO-Akin procedure), are limited. This study aimed to compare and evaluate operative MIPCA and open PCMO-Akin procedure outcomes in the surgical correction of moderate-to-severe hallux valgus deformities. Methods: We conducted a retrospective comparison of clinical and radiographic outcomes between the MIPCA and open PCMOAkin procedure in patients with a hallux valgus deformity, defined as a preoperative hallux valgus angle (HVA) of ≥ 30° and/or a first to second intermetatarsal angle of ≥ 13°. The postoperative complication rate was monitored in both groups for a minimum of 12 months. An unsatisfactory correction was defined as an HVA > 15° at final follow-up. Results: We assigned 58 and 99 patients to the MIPCA or open PCMO-Akin procedure group, respectively. At final follow-up, no significant differences were observed between the groups in terms of clinical and radiographic parameters (p > 0.05), with the exception of the distal metatarsal articular angle (DMAA) (p = 0.012). No statistically significant postoperative changes in the DMAA were observed in the MIPCA group (p = 0.875). Five patients (5.1%) experienced postoperative hallux varus in the open PCMO-Akin procedure group, whereas no such cases were observed in the MIPCA group. No statistically significant difference in the rate of unsatisfactory correction was observed between the groups at the final follow-up (MIPCA group, 15.5%; open PCMO-Akin procedure group, 10.1%; p = 0.315). Conclusions The MIPCA technique is a viable alternative to the open PCMO-Akin procedure for correcting moderate-to-severe hallux valgus deformities. Given the potential lack of postoperative changes in the DMAA following the MIPCA technique, careful consideration is advised when applying this technique to patients with a large DMAA.

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.

Objectives: This study aimed to explore factors influencing satisfaction with medical services among medically underserved populations at the free medical clinic, providing data to improve free medical services for these populations. Methods: We employed a descriptive correlational study design involving 112 individuals (aged 19 years and older) from medically underserved populations who visited the clinic. Data were collected through face-to-face surveys from September to October 2023, and statistical analyses (t-tests, analysis of variance, Pearson correlation, and hierarchical multiple regression) were used to identify key predictors of satisfaction. Results: Perceived support from healthcare providers emerged as the strongest predictor ofsatisfaction with medical services, demonstrating a significant positive association. While socialsupport was positively correlated with perceived support from healthcare providers, it did not independently predict satisfaction. Conclusion These findings underscore the importance of healthcare provider and social supportin increasing satisfaction with medical services among medically underserved populations.Developing tailored healthcare programs and specialized healthcare provider training are essential strategies to improve healthcare access and outcomes for these vulnerable groups.

Background: Studies comparing the minimally invasive proximal chevron and Akin osteotomies (MIPCA) technique with conventional techniques, such as the open proximal chevron metatarsal osteotomy with the Akin procedure (open PCMO-Akin procedure), are limited. This study aimed to compare and evaluate operative MIPCA and open PCMO-Akin procedure outcomes in the surgical correction of moderate-to-severe hallux valgus deformities. Methods: We conducted a retrospective comparison of clinical and radiographic outcomes between the MIPCA and open PCMOAkin procedure in patients with a hallux valgus deformity, defined as a preoperative hallux valgus angle (HVA) of ≥ 30° and/or a first to second intermetatarsal angle of ≥ 13°. The postoperative complication rate was monitored in both groups for a minimum of 12 months. An unsatisfactory correction was defined as an HVA > 15° at final follow-up. Results: We assigned 58 and 99 patients to the MIPCA or open PCMO-Akin procedure group, respectively. At final follow-up, no significant differences were observed between the groups in terms of clinical and radiographic parameters (p > 0.05), with the exception of the distal metatarsal articular angle (DMAA) (p = 0.012). No statistically significant postoperative changes in the DMAA were observed in the MIPCA group (p = 0.875). Five patients (5.1%) experienced postoperative hallux varus in the open PCMO-Akin procedure group, whereas no such cases were observed in the MIPCA group. No statistically significant difference in the rate of unsatisfactory correction was observed between the groups at the final follow-up (MIPCA group, 15.5%; open PCMO-Akin procedure group, 10.1%; p = 0.315). Conclusions The MIPCA technique is a viable alternative to the open PCMO-Akin procedure for correcting moderate-to-severe hallux valgus deformities. Given the potential lack of postoperative changes in the DMAA following the MIPCA technique, careful consideration is advised when applying this technique to patients with a large DMAA.

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.