Purpose: To evaluate the feasibility of robot-assisted ureteral reconstruction as a minimally invasive alternative to open surgery for managing ureteric complications in transplanted kidneys. Materials and Methods: From January 2020 to December 2023, robot-assisted ureteral reconstruction was performed on fifteen kidney transplant patients with vesicoureteral reflux (VUR) or ureteral stricture who had previously failed endoscopic treatments. Results: Twelve females and three males, with a mean age of 48.6±6.6 years, were included in the study. Nine patients (60.0%) underwent surgery due to VUR (grade III or higher) of the transplanted kidney, and six patients (40.0%) had transplanted ureteral strictures. Postoperative voiding cystourethrogram (VCUG) was performed at 3.2±1.6 months. Seven patients (77.8%) became VUR-free, while two patients (22.2%) had VUR regression from grade IV to I. All six patients who underwent reconstruction due to anastomosis site stricture became stenosis-free without the need for an indwelling ureteral catheter. In cases where the ureter was too short for reimplantation, a Boari flap or end-to-end anastomosis with the native ureter was performed. The mean hospital stay was 5.9±4.5 days. The urethral catheter was removed after 15.1±5.4 days, and the ureteral catheter was removed after 4.9±1.5 weeks. The mean follow-up period was 23.9±6.8 months, with no additional interventions required after surgery. No complications above Clavien-Dindo grade I were recorded. Conclusions Robotic ureteral reconstruction is technically feasible and offers an effective, minimally invasive treatment for ureteric complications in kidney transplant patients, serving as an alternative to open surgery.

Purpose: To compare encrustation resistance between silicon- and polytetrafluoroethylene (PTFE)-covered metallic ureteral stents (MUS) in an in vitro infection model and to determine the most effective material for reducing biofilm formation and encrustation. Materials and Methods: A total of 52 MUS were prepared: 26 silicon-covered and 26 PTFE-covered stents. Each sample was immersed in artificial urine inoculated with Proteus mirabilis in a biofilm reactor for 48 hours. After immersion, the stents were weighed to measure their encrustation level. Scanning electron microscopy (SEM) and energy dispersive X-ray spectroscopy (EDS) were used to assess the surface morphology and elemental composition of the encrustation deposits. Results: Silicon-covered stents showed a statistically significant reduction in weight gain due to encrustation compared to PTFE-co­vered stents (9.50±5.77 mg vs. 16.75±10.61 mg; p=0.004). Additionally, encrustation per unit length was lower in silicon-covered stents (0.76±0.45 mg/mm vs. 1.30±0.81 mg/mm; p=0.004). SEM and EDS analyses demonstrated lower calcium salt deposition on the silicon-co­vered stents, indicating greater resistance to encrustation. Conclusions Silicon-covered MUS demonstrated superior resistance to encrustation compared to PTFE-covered stents, supporting silicon as a more suitable covering material for long-term MUS applications. This finding may lead to extended stent lifespans and a reduced frequency of stent replacements, benefiting both patients and healthcare systems.

Background: and Purpose: This clinical practice guideline provides evidence-based recommendations for treatment of dementia, focusing on cholinesterase inhibitors and N-methyl-D-aspartate (NMDA) receptor antagonists for Alzheimer’s disease (AD) and other types of dementia. Methods: Using the Population, Intervention, Comparison, Outcomes (PICO) framework, we developed key clinical questions and conducted systematic literature reviews. A multidisciplinary panel of experts, organized by the Korean Dementia Association, evaluated randomized controlled trials and observational studies. Recommendations were graded for evidence quality and strength using Grading of Recommendations, Assessment, Development, and Evaluation (GRADE) methodology. Results: Three main recommendations are presented: (1) For AD, cholinesterase inhibitors (donepezil, rivastigmine, galantamine) are strongly recommended for improving cognition and daily function based on moderate evidence; (2) Cholinesterase inhibitors are conditionally recommended for vascular dementia and Parkinson’s disease dementia, with a strong recommendation for Lewy body dementia; (3) For moderate to severe AD, NMDA receptor antagonist (memantine) is strongly recommended, demonstrating significant cognitive and functional improvements. Both drug classes showed favorable safety profiles with manageable side effects. Conclusions This guideline offers standardized, evidence-based pharmacologic recommendations for dementia management, with specific guidance on cholinesterase inhibitors and NMDA receptor antagonists. It aims to support clinical decision-making and improve patient outcomes in dementia care. Further updates will address emerging treatments, including amyloid-targeting therapies, to reflect advances in dementia management.

It is difficult to determine a cause of bile duct stricture and dilatation. Eosinophilic cholangitis, a rare benign condition, may be one cause of bile duct stricture and dilatation. It can be evaluated using various methods of histopathology, radiographs, endoscopy, and hematologic findings. Treatment generally involves steroid therapy which can lead to improvement. This case report will discuss eosinophilic cholangitis, emphasizing that while it can easily be overlooked but should be considered in differential diagnoses.

Endometriosis, a prevalent but debilitating condition affecting women, poses significant challenges in diagnosis and management. The current 2024 guideline, developed by the Korean Society of Endometriosis (KSE), builds upon the 2018 KSE guideline. This guideline aims to provide customized recommendations tailored to Korea’s unique clinical aspects and medical environment, and addresses key areas such as diagnosis, medical and surgical management, considerations for special populations, and its complex relationship with cancer.

Purpose: This study aimed to present a novel method for estimating the effective atomic number(Zeff ) using dual-energy computed tomography (DECT) designed to improve accuracy andstreamline clinical workflows by reducing computational complexity. Methods: The proposed model leverages the DECT-derived mass attenuation coefficients without detailed compositional analysis. By incorporating additional parameters into the conventional Rutherford model, such as exponential and trigonometric functions, the model effectively capturescomplex variations in attenuation, enabling precise Zeff estimation. Model fitting was performedusing dual-energy data and evaluated using the percentage difference in error rates. Results: Compared with the Rutherford model, which recorded a maximum error rate of 0.55%, the proposed model demonstrated a significantly lower maximum error rate of 0.15%, highlightingits precision. Zeff estimates for various materials closely matched the reference values, confirmingthe improved accuracy of the model. Conclusions The proposed DECT-based model provides a practical and efficient approach to Zeff estimation, with potential applications in radiation oncology, particularly for accurate stopping power ratio calculations in proton and heavy ion therapies.

Purpose: This study aimed to present a novel method for estimating the effective atomic number(Zeff ) using dual-energy computed tomography (DECT) designed to improve accuracy andstreamline clinical workflows by reducing computational complexity. Methods: The proposed model leverages the DECT-derived mass attenuation coefficients without detailed compositional analysis. By incorporating additional parameters into the conventional Rutherford model, such as exponential and trigonometric functions, the model effectively capturescomplex variations in attenuation, enabling precise Zeff estimation. Model fitting was performedusing dual-energy data and evaluated using the percentage difference in error rates. Results: Compared with the Rutherford model, which recorded a maximum error rate of 0.55%, the proposed model demonstrated a significantly lower maximum error rate of 0.15%, highlightingits precision. Zeff estimates for various materials closely matched the reference values, confirmingthe improved accuracy of the model. Conclusions The proposed DECT-based model provides a practical and efficient approach to Zeff estimation, with potential applications in radiation oncology, particularly for accurate stopping power ratio calculations in proton and heavy ion therapies.

Objective: Objective of this study is to evaluate the association between high risk of depression and metabolic diseases such as hypertension, diabetes, and dyslipidemia in Korean cervical cancer patients. Methods: A total of 330 women with cervical cancer were included in this study, using data from the Korea National Health and Nutrition Examination Survey from 2010 to 2021. Participants were categorized into two groups—high risk of depression and non-depression—based on their answers to survey items related to depression. A multivariate logistic regression analysis was used to evaluate the influence of metabolic diseases on high risk of depression in patients with cervical cancer. Results: A total of 78 (23.64%) and 252 (76.36%) women were classified into the high risk of depression and non-depression groups, respectively. In multivariate logistic regression analysis adjusting for age, menopausal status, and smoking status, diabetes was associated with an odds ratio of 2.47 (95% confidence interval: 1.205, 5.071) for high risk of depression in cervical cancer patients. However, among the metabolic diseases, hypertension, and dyslipidemia were not associated with high risk of depression in patients with cervical cancer. Conclusion This study suggests that diabetes may be associated with a increased risk of high risk of depression in cervical cancer patients. Therefore, appropriate treatment of diabetes in cervical cancer patients may contribute to lowering the risk of depression in the future.