Objective: Cervical cancer remains a significant global health concern. Extensive research has established a critical link between human papillomavirus (HPV) infection and the development of cervical cancer. As a result, high-risk HPV (Hr-HPV) testing has emerged as a promising screening method. This study aimed to retrospectively analyze the prevalence of Hr-HPV genotypes among women in three regions of Uzbekistan. Methods: Between 2021 and 2023, the Research Institute of Virology of Uzbekistan and the Korea Foundation for International Healthcare conducted a comprehensive population-based study in Tashkent, Andijan, and Samarkand. The study targeted 43,921 women aged 20 and above, utilizing real-time polymerase chain reaction to investigate the prevalence of 12 HrHPV genotypes. The analysis included an examination of the distribution of these genotypes based on age, region, and various demographic factors. Results: The overall prevalence of Hr-HPV among women aged 20 and above in Uzbekistan was 7.4%. Regional variations were observed and Hr-HPV prevalence was higher in individuals in their 20s than in other age groups in all 3 regions (p<0.001). The proportion of HPV 16 and 18 was 32.5% and 6.4% in the single infections, 41.9% and 14.7% in the double infections, and 59.3% and 20.0% in the multiple infections. There were also significant differences in prevalence across demographic factors, such as marital status, parity, current smoking, and contraceptive method (p<0.005). Conclusion The findings emphasize the importance of early screening and educational initiatives, particularly targeting young and co-infected women. This foundational data aims to improve women's health strategies in Uzbekistan.

Objective: Cervical cancer remains a significant global health concern. Extensive research has established a critical link between human papillomavirus (HPV) infection and the development of cervical cancer. As a result, high-risk HPV (Hr-HPV) testing has emerged as a promising screening method. This study aimed to retrospectively analyze the prevalence of Hr-HPV genotypes among women in three regions of Uzbekistan. Methods: Between 2021 and 2023, the Research Institute of Virology of Uzbekistan and the Korea Foundation for International Healthcare conducted a comprehensive population-based study in Tashkent, Andijan, and Samarkand. The study targeted 43,921 women aged 20 and above, utilizing real-time polymerase chain reaction to investigate the prevalence of 12 HrHPV genotypes. The analysis included an examination of the distribution of these genotypes based on age, region, and various demographic factors. Results: The overall prevalence of Hr-HPV among women aged 20 and above in Uzbekistan was 7.4%. Regional variations were observed and Hr-HPV prevalence was higher in individuals in their 20s than in other age groups in all 3 regions (p<0.001). The proportion of HPV 16 and 18 was 32.5% and 6.4% in the single infections, 41.9% and 14.7% in the double infections, and 59.3% and 20.0% in the multiple infections. There were also significant differences in prevalence across demographic factors, such as marital status, parity, current smoking, and contraceptive method (p<0.005). Conclusion The findings emphasize the importance of early screening and educational initiatives, particularly targeting young and co-infected women. This foundational data aims to improve women's health strategies in Uzbekistan.

Objective: Cervical cancer remains a significant global health concern. Extensive research has established a critical link between human papillomavirus (HPV) infection and the development of cervical cancer. As a result, high-risk HPV (Hr-HPV) testing has emerged as a promising screening method. This study aimed to retrospectively analyze the prevalence of Hr-HPV genotypes among women in three regions of Uzbekistan. Methods: Between 2021 and 2023, the Research Institute of Virology of Uzbekistan and the Korea Foundation for International Healthcare conducted a comprehensive population-based study in Tashkent, Andijan, and Samarkand. The study targeted 43,921 women aged 20 and above, utilizing real-time polymerase chain reaction to investigate the prevalence of 12 HrHPV genotypes. The analysis included an examination of the distribution of these genotypes based on age, region, and various demographic factors. Results: The overall prevalence of Hr-HPV among women aged 20 and above in Uzbekistan was 7.4%. Regional variations were observed and Hr-HPV prevalence was higher in individuals in their 20s than in other age groups in all 3 regions (p<0.001). The proportion of HPV 16 and 18 was 32.5% and 6.4% in the single infections, 41.9% and 14.7% in the double infections, and 59.3% and 20.0% in the multiple infections. There were also significant differences in prevalence across demographic factors, such as marital status, parity, current smoking, and contraceptive method (p<0.005). Conclusion The findings emphasize the importance of early screening and educational initiatives, particularly targeting young and co-infected women. This foundational data aims to improve women's health strategies in Uzbekistan.

Chylothorax is mostly iatrogenic, with blunt chest trauma being a rare cause. Treatment depends on the volume of drainage. Specifically, conservative treatment, such as total parenteral nutrition and pleural drainage, is performed in cases of low daily output (< 500 mL/day). Patients with persistent chylothorax despite medical treatment or with high daily output (> 1-1.5 L/day) are candidates for surgical or radiological intervention. We present a case of delayed-onset chylothorax after blunt trauma caused by thoracic spine fractures, in which persistent chylothorax was successfully managed with repeated lymphangiography with lipiodol when other treatment modalities failed. The case is peculiar in that the chylothorax occurred 40 days after the initial traumatic event and was treated with lipiodol injection, despite maintaining moderate to high daily output.

Objective: Farmers are known to have high prevalence of asthma and chronic obstructive pulmonary disease(COPD). This study aims to investigate the current status of asthma and COPD in domestic and foreign farmers with the ultimate goal of raising awareness of asthma and COPD among farmers and contribute to supporting evidence for the prevention of respiratory diseases in farmers. Methods: The study utilized data from the "Farmer’s Occupational Disease Survey," conducted by the Rural Development Administration, to determine the prevalence of respiratory diseases in domestic farmers.The prevalence of asthma and COPD in overseas farmers was evaluated by researching other foreign studies and articles. Results: The prevalence of asthma and COPD in domestic farmers was less than of foreign farmers’.The prevalence of asthma in domestic farmers was high as upto 8.4% and COPD upto 5.5%. Studies from Europe and America showed prevalence of asthma in farmers high as upto 14.8% and COPD upto 17.1%. Conclusions This study conducted an investigation using the 'Survey on Occupational Diseases and Injuries in Farmers to understand the current status of asthma and COPD in domestic farmers. Due to a lack of relevant domestic research, we examined and compared with the research results on asthma and COPD among overseas farmers. Further research is necessary and preventive measures for respiratory diseases need to be developed.

Suppressors of cytokine signaling (SOCS) have emerged as potential regulators of macrophage function. We have investigated mechanisms of SOCS3 action on type 2 macrophage (M2) differentiation induced by glucocorticoid using human monocytic cell lines and mouse bone marrow-derived macrophages. Treatment of THP1 monocytic cells with dexamethasone (Dex) induced ROS generation and M2 polarization promoting IL-10 and TGF-β production, while suppressing IL-1β, TNF-α and IL-6 production. SOCS3 over-expression reduced, whereas SOCS3 ablation enhanced IL-10 and TGF-β induction with concomitant regulation of ROS. As a mediator of M2 differentiation, glucocorticoidinduced leucine zipper (GILZ) was down-regulated by SOCS3 and up-regulated by shSOCS3. The induction of GILZ and IL-10 by Dex was dependent on ROS and p38 MAPK activity. Importantly, GILZ ablation led to the inhibition of ROS generation and anti-inflammatory cytokine induction by Dex. Moreover, GILZ knock-down negated the up-regulation of IL-10 production induced by shSOCS3 transduction. Our data suggest that SOCS3 targets ROS- and p38-dependent GILZ expression to suppress Dex-induced M2 polarization.

Gastrointestinal (GI) emergencies in neonates and infants encompass from the beginning to the end of the GI tract. Both congenital and acquired conditions can cause various GI emergencies in neonates and infants. Given the overlapping or nonspecific clinical findings of many different neonatal and infantile GI emergencies and the unique characteristics of this age group, appropriate imaging is key to accurate and timely diagnosis while avoiding unnecessary radiation hazard and medical costs. In this paper, we discuss the radiological findings of essential neonatal and infantile GI emergencies, including esophageal atresia and tracheoesophageal fistula, hypertrophic pyloric stenosis, duodenal atresia, malrotation, midgut volvulus for upper GI emergencies, and jejunoileal atresia, meconium ileus, meconium plug syndrome, meconium peritonitis, Hirschsprung disease, anorectal malformation, necrotizing enterocolitis, and intussusception for lower GI emergencies.

Objective: To evaluate the diagnostic performance of a deep learning algorithm for the automated detection of developmental dysplasia of the hip (DDH) on anteroposterior (AP) radiographs. Materials and Methods: Of 2601 hip AP radiographs, 5076 cropped unilateral hip joint images were used to construct a dataset that was further divided into training (80%), validation (10%), or test sets (10%). Three radiologists were asked to label the hip images as normal or DDH. To investigate the diagnostic performance of the deep learning algorithm, we calculated the receiver operating characteristics (ROC), precision-recall curve (PRC) plots, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) and compared them with the performance of radiologists with different levels of experience. Results: The area under the ROC plot generated by the deep learning algorithm and radiologists was 0.988 and 0.988–0.919, respectively. The area under the PRC plot generated by the deep learning algorithm and radiologists was 0.973 and 0.618– 0.958, respectively. The sensitivity, specificity, PPV, and NPV of the proposed deep learning algorithm were 98.0, 98.1, 84.5, and 99.8%, respectively. There was no significant difference in the diagnosis of DDH by the algorithm and the radiologist with experience in pediatric radiology (p = 0.180). However, the proposed model showed higher sensitivity, specificity, and PPV, compared to the radiologist without experience in pediatric radiology (p < 0.001). Conclusion The proposed deep learning algorithm provided an accurate diagnosis of DDH on hip radiographs, which was comparable to the diagnosis by an experienced radiologist.

Objective: To evaluate the diagnostic performance of a deep learning algorithm for the automated detection of developmental dysplasia of the hip (DDH) on anteroposterior (AP) radiographs. Materials and Methods: Of 2601 hip AP radiographs, 5076 cropped unilateral hip joint images were used to construct a dataset that was further divided into training (80%), validation (10%), or test sets (10%). Three radiologists were asked to label the hip images as normal or DDH. To investigate the diagnostic performance of the deep learning algorithm, we calculated the receiver operating characteristics (ROC), precision-recall curve (PRC) plots, sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) and compared them with the performance of radiologists with different levels of experience. Results: The area under the ROC plot generated by the deep learning algorithm and radiologists was 0.988 and 0.988–0.919, respectively. The area under the PRC plot generated by the deep learning algorithm and radiologists was 0.973 and 0.618– 0.958, respectively. The sensitivity, specificity, PPV, and NPV of the proposed deep learning algorithm were 98.0, 98.1, 84.5, and 99.8%, respectively. There was no significant difference in the diagnosis of DDH by the algorithm and the radiologist with experience in pediatric radiology (p = 0.180). However, the proposed model showed higher sensitivity, specificity, and PPV, compared to the radiologist without experience in pediatric radiology (p < 0.001). Conclusion The proposed deep learning algorithm provided an accurate diagnosis of DDH on hip radiographs, which was comparable to the diagnosis by an experienced radiologist.

Purpose: This study evaluated the diagnostic performance of contrast-enhanced voiding urosonography (ce-VUS) using a second-generation ultrasound contrast agent for the diagnosis of vesicoureteral reflux (VUR) and intrarenal reflux (IRR), and compared it with that of standard fluoroscopic voiding cystourethrography (VCUG). Methods: Thirty-two consecutive children from April to October 2019 were included in this study. ce-VUS and VCUG were performed simultaneously by two operators with intravesical infusion of a mixture of ultrasound contrast medium, iodinated contrast medium and water. Two pediatric radiologists independently reviewed the ce-VUS and VCUG images and reported the presence and degree of VUR (grades I-V), and the presence and type of IRR. Results: Twenty-seven of 63 urinary systems showed VUR. Interobserver agreement for VUR grading was very good for both examinations (κ=0.87; 95% confidence interval [CI], 0.82 to 0.92 for ce-VUS and κ=0.92; 95% CI, 0.87 to 0.96 for VCUG). The detection rate of VUR showed no significant difference between the two examinations (P=0.370). Four cases of VUR were missed on ce-VUS, while one case of VUR was missed on VCUG. All four false-negative cases on ce-VUS were grade 1 VUR. The two examinations showed very good agreement regarding VUR grading (κ =0.89; 95% CI, 0.81 to 0.96). IRR was more frequently detected with ce-VUS than with VCUG (10 cases with ce-VUS vs. 3 cases with VCUG, P=0.016). Conclusion ce-VUS showed very good agreement with VCUG for detecting grade 2 VUR and above, while grade 1 VUR was sometimes missed with ce-VUS. IRR was more frequently detected with ce-VUS than with VCUG.