Purpose: This study evaluated the postoperative quality of life (QoL) after various types of gastrectomy for gastric cancer. Materials and Methods: A multicenter prospective observational study was conducted in Korea using the Korean Quality of Life in Stomach Cancer Patients Study (KOQUSS)-40, a new QoL assessment tool focusing on postgastrectomy syndrome. Overall, 496 patients with gastric cancer were enrolled, and QoL was assessed at 5 time points: preoperatively and at 1, 3, 6, and 12 months after surgery. Results: Distal gastrectomy (DG) and pylorus-preserving gastrectomy (PPG) showed significantly better outcomes than total gastrectomy (TG) and proximal gastrectomy (PG) with regard to total score, indigestion, and dysphagia. DG, PPG, and TG also showed significantly better outcomes than PG in terms of dumping syndrome and worry about cancer. Postoperative QoL did not differ significantly according to anastomosis type in DG, except for Billroth I anastomosis, which achieved better bowel habit change scores than the others. No domains differed significantly when comparing double tract reconstruction and esophagogastrostomy after PG. The total QoL score correlated significantly with postoperative body weight loss (more than 10%) and extent of resection (P<0.05 for both).Reflux as assessed by KOQUSS-40 did not correlate significantly with reflux observed on gastroscopy 1 year postoperatively (P=0.064). Conclusions Our prospective observation using KOQUSS-40 revealed that DG and PPG lead to better QoL than TG and PG. Further study is needed to compare postoperative QoL according to anastomosis type in DG and PG.

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.

Purpose: Establishing normative values for forearm rotational torque is essential for assessing upper limb function and guiding therapeutic interventions. Previous studies have focused on Western populations, leaving a gap in data for Asian populations, which may exhibit different muscle strength characteristics. This study aimed to measure forearm rotational torque in healthy Korean adults to establish normative values based on age, sex, and hand dominance. Methods: In total, 500 healthy Korean adults (217 males and 283 females), aged 20 to 69 years, were recruited and divided into decade-based age groups. Exclusion criteria included prior treatment for upper limb trauma or neurological damage. Using a digital torque gauge with a T-shaped handle, pronation and supination torques were measured in a standardized neutral position for both hands (dominant and nondominant). Statistical analyses were performed using SPSS 26.0, with significance set at p<0.05. Results: The average pronation torque of the dominant hand was 33.00±11.57 kgf•cm (3.36±1.18 N•m), and the supination torque was 32.38±12.01 kgf•cm (3.30±1.22 N•m). The difference was not statistically significant (p>0.05). The dominant hand exhibited significantly higher torque values than the nondominant hand in both pronation and supination (p<0.05). Males demonstrated higher torque values than females across all age groups (p<0.05). The highest average torque values were observed in individuals aged 30 to 39 years. Conclusion This study provides normative data for forearm rotational torque in healthy Korean adults, highlighting that the dominant hand exerts significantly more torque.

Purpose: This study aimed to evaluate the outcomes of arthroscopic scaphocapitate fusion with lunate preservation, without autologous bone grafts, in stage III Kienböck disease, which causes significant wrist dysfunction due to lunate necrosis. Methods: Nine patients with stage III Kienböck disease underwent arthroscopic scaphocapitate fusion with lunate preservation from 2017 to 2022. Bone substitutes were used instead of autologous bone grafts: demineralized bone matrix, allogenic cancellous bone chips, and a bone substitute composed of hydroxyapatite combined with recombinant human bone morphogenetic protein-2. The clinical outcomes assessed were pain visual analogue scale (VAS), grip strength, wrist range of motion (ROM), Patient-Rated Wrist Evaluation (PRWE), and Disabilities of the Arm, Shoulder, and Hand (DASH) scores. Radiological assessments included bone union and modified carpal height ratio (MCHR). Results: At a mean follow-up of 22.7 months, all patients achieved bone union, with an average time to union of 8 weeks. Significant improvements were observed in wrist ROM (mean increase from 58.3° to 75.6°, p=0.001), grip strength (29.4% to 71.8% of the contralateral side, p<0.001), DASH scores (43.9 to 17.5, p<0.001), PRWE scores (45.2 to 18.0, p<0.001), and pain VAS (5.7 to 2.9, p<0.001). The mean MCHR decreased slightly from 1.41 to 1.39 (p<0.001). Conclusion Arthroscopic scaphocapitate fusion with lunate preservation, without autologous bone grafts, effectively improved pain, function, and anatomical outcomes in stage III Kienböck disease. Further research is needed to validate these findings.

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.

Purpose: This study evaluated the postoperative quality of life (QoL) after various types of gastrectomy for gastric cancer. Materials and Methods: A multicenter prospective observational study was conducted in Korea using the Korean Quality of Life in Stomach Cancer Patients Study (KOQUSS)-40, a new QoL assessment tool focusing on postgastrectomy syndrome. Overall, 496 patients with gastric cancer were enrolled, and QoL was assessed at 5 time points: preoperatively and at 1, 3, 6, and 12 months after surgery. Results: Distal gastrectomy (DG) and pylorus-preserving gastrectomy (PPG) showed significantly better outcomes than total gastrectomy (TG) and proximal gastrectomy (PG) with regard to total score, indigestion, and dysphagia. DG, PPG, and TG also showed significantly better outcomes than PG in terms of dumping syndrome and worry about cancer. Postoperative QoL did not differ significantly according to anastomosis type in DG, except for Billroth I anastomosis, which achieved better bowel habit change scores than the others. No domains differed significantly when comparing double tract reconstruction and esophagogastrostomy after PG. The total QoL score correlated significantly with postoperative body weight loss (more than 10%) and extent of resection (P<0.05 for both).Reflux as assessed by KOQUSS-40 did not correlate significantly with reflux observed on gastroscopy 1 year postoperatively (P=0.064). Conclusions Our prospective observation using KOQUSS-40 revealed that DG and PPG lead to better QoL than TG and PG. Further study is needed to compare postoperative QoL according to anastomosis type in DG and PG.

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.

Purpose: Establishing normative values for forearm rotational torque is essential for assessing upper limb function and guiding therapeutic interventions. Previous studies have focused on Western populations, leaving a gap in data for Asian populations, which may exhibit different muscle strength characteristics. This study aimed to measure forearm rotational torque in healthy Korean adults to establish normative values based on age, sex, and hand dominance. Methods: In total, 500 healthy Korean adults (217 males and 283 females), aged 20 to 69 years, were recruited and divided into decade-based age groups. Exclusion criteria included prior treatment for upper limb trauma or neurological damage. Using a digital torque gauge with a T-shaped handle, pronation and supination torques were measured in a standardized neutral position for both hands (dominant and nondominant). Statistical analyses were performed using SPSS 26.0, with significance set at p<0.05. Results: The average pronation torque of the dominant hand was 33.00±11.57 kgf•cm (3.36±1.18 N•m), and the supination torque was 32.38±12.01 kgf•cm (3.30±1.22 N•m). The difference was not statistically significant (p>0.05). The dominant hand exhibited significantly higher torque values than the nondominant hand in both pronation and supination (p<0.05). Males demonstrated higher torque values than females across all age groups (p<0.05). The highest average torque values were observed in individuals aged 30 to 39 years. Conclusion This study provides normative data for forearm rotational torque in healthy Korean adults, highlighting that the dominant hand exerts significantly more torque.

Purpose: This study aimed to evaluate the outcomes of arthroscopic scaphocapitate fusion with lunate preservation, without autologous bone grafts, in stage III Kienböck disease, which causes significant wrist dysfunction due to lunate necrosis. Methods: Nine patients with stage III Kienböck disease underwent arthroscopic scaphocapitate fusion with lunate preservation from 2017 to 2022. Bone substitutes were used instead of autologous bone grafts: demineralized bone matrix, allogenic cancellous bone chips, and a bone substitute composed of hydroxyapatite combined with recombinant human bone morphogenetic protein-2. The clinical outcomes assessed were pain visual analogue scale (VAS), grip strength, wrist range of motion (ROM), Patient-Rated Wrist Evaluation (PRWE), and Disabilities of the Arm, Shoulder, and Hand (DASH) scores. Radiological assessments included bone union and modified carpal height ratio (MCHR). Results: At a mean follow-up of 22.7 months, all patients achieved bone union, with an average time to union of 8 weeks. Significant improvements were observed in wrist ROM (mean increase from 58.3° to 75.6°, p=0.001), grip strength (29.4% to 71.8% of the contralateral side, p<0.001), DASH scores (43.9 to 17.5, p<0.001), PRWE scores (45.2 to 18.0, p<0.001), and pain VAS (5.7 to 2.9, p<0.001). The mean MCHR decreased slightly from 1.41 to 1.39 (p<0.001). Conclusion Arthroscopic scaphocapitate fusion with lunate preservation, without autologous bone grafts, effectively improved pain, function, and anatomical outcomes in stage III Kienböck disease. Further research is needed to validate these findings.

This review examines the challenges associated with occupational disease surveillance in Korea, particularly emphasizing the limitations of current data sources such as the Industrial Accident Compensation Insurance (IACI) statistics and special health examinations. The IACI system undercounts cases due to its emphasis on severe diseases and restrictions on approvals. Special health examinations, although they cover a broad workforce, are constrained by their annual scheduling, which leads to missed acute illnesses and subclinical conditions. The paper also explores the history of occupational disease surveillance in Korea, highlighting the fragmented and disease-specific approach of earlier systems. The authors introduce the newly established Korea Occupational Disease Surveillance Center (KODSC), a comprehensive nationwide system designed to gather, analyze, and interpret data on occupational diseases through a network of regional centers. By incorporating hospital-based surveillance and focusing on acute poisonings and other sentinel events, the KODSC aims to overcome the limitations of previous systems and promote collaboration with various agencies. Although it is still in the early stages of implementation, the KODSC demonstrates potential for improving data accuracy and contributing valuable insights for public health policy.