Background/Aims: Early detection and removal of colon polyps are critical for preventing colorectal cancer. Computer-aided detection (CADe) systems have been introduced to increase the polyp detection rate (PDR) during colonoscopy, potentially enhancing its effectiveness. This study aimed to evaluate the efficacy of a CADe system in colorectal neoplasm detection. Methods: This prospective, randomized controlled trial was conducted at two tertiary centers (May 2023 to April 2025). Patients were randomly assigned to CADe or conventional colonoscopy and underwent screening, surveillance, or diagnostic colonoscopy. The primary endpoint was the adenoma detection rate (ADR), while the secondary endpoints were the PDR, relative risk (RR) of polyp detection, adenomas per colonoscopy (APC), and factors influencing adenoma detection. Results: Of 1,004 enrolled patients, 998 were randomly allocated into CADe and conventional colonoscopy groups (497 CADe system and 501 conventional colonoscopy). The CADe group had greater polyp counts (2.2 per colonoscopy vs 1.4 per colonoscopy; p<0.001) and APC values (1.2 vs 0.8; p<0.001). The CADe group showed significantly higher PDRs (72.2% vs 54.5%;p<0.001; RR, 2.173; 95% confidence interval [CI], 1.669 to 2.828) and ADRs (52.3% vs 36.1%;p<0.001; RR, 1.940; 95% CI, 1.505 to 2.499). CADe also significantly increased the detection rate of hyperplastic polyps (p=0.007; RR, 1.474; 95% CI, 1.113 to 1.952) and increased the detection rates across all sizes and locations. In multivariable analysis, CADe use was the strongest independent predictor of adenoma detection (odds ratio, 1.914; 95% CI, 1.467 to 2.496), outweighing male sex, older age, diagnostic indication, and withdrawal time. Conclusions Real-time CADe-assisted colonoscopy significantly increased PDR and ADR and proved to be a strong independent predictor of adenoma detection (cris.nih.go.kr, KCT0009664).

Spinal melanocytoma (SMC) is a rare, slow-growing tumor arising from melanocytes in the spinal cord. We report a patient with a cervical intra- and extradural spinal tumor causing progressive weakness and numbness. On magnetic resonance imaging (MRI), the lesion showed intense homogeneous enhancement, similar to that seen in common neurogenic spinal tumors. After complete resection, pathological examination confirmed melanocytoma. A review of previously reported cases identified 26 reports of this tumor in the cervical spine, most of which were treated with complete surgical resection. Gross total resection is the preferred treatment, although radiation therapy may be considered when residual tumor remains. We report a 25-year-old male patient who presented with progressive weakness and numbness in both the upper and lower extremities for 3 months. MRI showed homogeneous enhancement. The mass compressed the spinal cord at C6–7 and extended through the neural foramen. Based on the MRI findings, spinal schwannoma was suspected preoperatively. Surgical resection was performed with laminectomy, durotomy, and right facetectomy. A dark-colored mass with well-demarcated margins was exposed and removed. Postoperative MRI confirmed complete removal of the mass. The patient recovered well, and his preoperative myelopathic symptoms gradually improved. SMC is a rare benign tumor that may be mistaken for schwannoma. The treatment of choice is gross total resection.

The sixth edition of the Korean Medication Algorithm Project for Depressive Disorder (KMAP-DD) was published in 2025. This review compared KMAP-DD 2025 with four major international clinical practice guidelines: Canadian Network for Mood and Anxiety Treatments Clinical Guidelines for the Management of Major Depressive Disorders, National Institute for Health and Care Excellence Depression Guideline, Royal Australian and New Zealand College of Psychiatrists Clinical Practice Guidelines for Mood Disorders, and British Association for Psychopharmacology Guideline. While KMAP-DD is based on expert consensus, and others on evidence-based methods, overall treatment strategies for depressive episodes were fairly consistent. Especially, KMAP-DD 2025 offers more structured recommendations in areas lacking strong evidence, such as premenstrual dysphoric disorder, perinatal depression, and depression with medical comorbidities. KMAP-DD 2025 also reflected Korean clinical practice patterns emphasizing rapid symptom relief and early use of combination strategies. Despite limitations as a consensus-based guideline, KMAP-DD 2025 complements evidence-based approaches and provides practical, situation-specific guidance for real-world clinical decision-making in Korea.

This study aimed to identify factors associated with medication near-misses among nurses. Methods:This cross-sectional study included 146 nurses with at least 3 months of clinical experience at a tertiary hospital or general hospital in B metropolitan city. Data were collected from June 17 to July 5, 2024, using self-reported questionnaires assessing medication safety competence, organizational communication satisfaction, safety climate, and medication near-miss frequency within the past 3 months. IBM SPSS/WIN 29.0 program was used for analysis; negative binomial regression was applied to address overdispersion in medication near-miss frequency. Results: Within the past 3 months, 72.6% of the participants reported at least one medication near-miss. Higher medication safety competence (Incidence Rate Ratio, IRR=0.98, 95% Confidence Interval, CI=0.96~0.99), higher safety climate (IRR=0.98, 95% CI=0.96~0.99), and longer total clinical experience (IRR=0.93, 95% CI=0.89~0.98) were significantly associated with lower medication near-miss frequency.Medication near-miss frequency varied significantly by work unit, highest among nurses in medical wards.However, organizational communication satisfaction showed no significant association with medication near-miss frequency. Conclusion: Medication near-misses were found to be highly prevalent among nurses in clinical settings. To reduce medication near-misses, it is essential to enhance medication safety competence and safety climate and to implement organizational strategies tailored to nurses’ experience level and work unit.

Purpose: To evaluate the provision of physiotherapy services at 40 Korea Professional Golfers’ Association (KPGA) Tour tournaments during the 2023 and 2024 seasons. Methods: Data from 300 registered KPGA Tour players (150 per season) who utilized physiotherapy services during 40 tournaments from April to November were analyzed. Services were categorized as physical contact (manual therapy, extracorporeal shock wave therapy, cryotherapy, high-intensity laser, interferential current therapy, high-frequency therapy and noncontact (warm-up, cool-down). Records included golf-related injury sites and treatment methods. Results: Physiotherapy services were provided over 200 days, with 9,126 total visits and 10,565 treatments (average 264 treatments per tournament). Physical contact treatments comprised 8,634 of all interventions (81.9%), with noncontact treatments at 1,931 (18.1%). Among 7,972 recorded golf-related injuries, spinal issues accounted for 63.6%, lower limb 23.0%, and upper limb 13.4%. Lower back injuries were most prevalent (33.1%), followed by neck and upper back. Manual therapy was the predominant treatment (61%), followed by warm-up and taping. Conclusion This study provides insights into physiotherapy service utilization on the KPGA Tour and suggests effective intervention methods for golf-related injuries. Results indicate that physiotherapy services play an important role in injury prevention and treatment, supporting the establishment of systematic injury management systems for professional golfers.

This study aimed to determine the prevalence of human epidermal growth factor receptor 2 (HER2)–ultralow breast cancer among cases initially classified as HER2 immunohistochemistry (IHC) 0 and assess interobserver variability in interpreting low-level HER2 expression. Methods: In this multicenter retrospective study, all invasive breast cancer cases diagnosed between January and December 2022 across 10 Korean institutions were retrieved. Institutional pathologists reexamined HER2 IHC slides originally reported as IHC 0 according to the 2018 American Society of Clinical Oncology/College of American Pathologists guidelines and reclassified them as HER2-null (0), HER2-ultralow (0+), or HER2-low (1+). Slides from 10% of HER2-null and HER2-ultralow cases were digitized for central review and independently assessed by two pathologists, with discrepancies resolved by consensus. Results: Among 8,026 cases, 2,836 cases (35.5%) were initially reported as IHC 0. Upon re-review, 1,673 (59.0%), 1,139 (40.2%), and 24 (0.8%) cases were reclassified as HER2-null, HER2-ultralow, and HER2-low, respectively. The prevalence of HER2-ultralow breast cancer varied considerably across institutions (23.7%–78.1%). Central review of 268 digitized cases showed concordance in 193 cases (72.0%). Among the 75 discordant cases, 54 tumors (72.0%) were upgraded from HER2-null to HER2-ultralow, and 18 (24.0%) tumors were upgraded from HER2-ultralow to HER2-low. Furthermore, two tumors (2.7%) were downgraded from HER2-ultralow to HER2-null. Conclusions: Approximately 40% of cases initially categorized as IHC 0 were reclassified as HER2-ultralow. The substantial inter-institutional variability observed in interpreting low-level HER2 expression highlights the need for standardized training and quality assurance to ensure accurate identification of patients eligible for HER2-targeted antibody–drug conjugates.

Objectives: Patient blood management (PBM) is increasingly recognized as an essential strategy in obstetric care for reducing transfusion-related risks and improving maternal safety. Jehovah’s Witness (JW) women, who categorically refuse blood transfusion, represent a unique clinical population in which to evaluate the effectiveness of PBM. This study aimed to assess obstetric outcomes of JW women compared with non-JW women at a PBM-based center in Korea. Methods: We retrospectively reviewed delivery outcomes and PBM practices among JW women (n=205) with singleton pregnancies and non-JW women (n=601) who were matched at a 1:3 ratio using propensity scores at Soonchunhyang University Seoul Hospital between 2018 and 2023. The primary outcomes included obstetric morbidities, with particular attention to complications related to postpartum hemorrhage and the interventions used for its management. Results: JW women were more likely to receive intravenous iron administration (7.3 vs. 2.8%, p=0.008) and had higher hemoglobin (Hb) levels during the first trimester (12.6±1.1 vs. 11.8±3.4 g/dL, p=0.012) than non-JW women. Blood loss during cesarean section and the incidence of severe postpartum anemia (Hb <7 g/dL) were lower among JW women; however, these differences did not reach statistical significance. In the hemorrhage-related high-risk subgroup, JW women were managed according to PBM protocols without transfusion, and their obstetric outcomes were comparable to those observed in non-JW women. Conclusions This study identified no significant differences in hemorrhage-related obstetric outcomes between JW and non-JW women at a PBM-based center. The systematic application of PBM enables safe delivery in transfusion-restricted settings and may reduce reliance on blood transfusion while maintaining maternal safety.

In forensic medicine, age estimation commonly involves assessing age-related changes in teeth and skeletal structures. Vertebral morphological alterations, such as osteophyte formation, serve as age indicators. Recent studies using deep-learning techniques, such as neural networks, for age estimation from radiographic images have been conducted, reporting significantly higher accuracy than previous studies. This study aimed to estimate age using neural network-based deep-learning techniques applied to computed tomography (CT) cross-sectional images of the spine and evaluate its feasibility. Postmortem CT scans of 214 cadavers with varying decomposition levels were used. Coronal and sagittal cross-sectional images penetrating the center of each vertebral body were extracted for the 11th and 12th thoracic vertebrae and the first to fifth lumbar vertebrae. Using these images, along with the chronological ages of deceased individuals, an age estimation model was developed through regression analysis in PyTorch, employing a convolutional neural networks architecture with five-fold cross-validation. The model achieved a mean absolute error of 5.385 years, root mean squared error of 7.029 years, and coefficient of determination of 0.793. Although the sample size was relatively small, the results suggested the potential applicability of vertebral imagingbased age estimation in the Korean population. Further research using a larger dataset may improve the accuracy and reliability of the model.