Background: Primary cicatricial alopecia (PCA) is a rare disease that causes irreversible destruction of hair follicles and affects the quality of life (QOL). Objective: We aimed to investigate the disease awareness, medical use behavior, QOL, and real-world diagnosis and treatment status of patients with PCA. Methods: A self-administered questionnaire was administered to patients with PCA and their dermatologists. Patients aged between 19 and 75 years who visited one of 27 dermatology departments between September 2021 and September 2022 were included. Results: In total, 274 patients were included. The male-to-female ratio was 1:1.47, with a mean age of 45.7 years. Patients with neutrophilic and mixed PCA were predominantly male and younger than those with lymphocytic PCA. Among patients with lymphocytic PCA, lichen planopilaris was the most common type, and among those with neutrophilic PCA, folliculitis decalvans was the most common type. Among the total patients, 28.8% were previously diagnosed with PCA, 47.0% were diagnosed with PCA at least 6 months after their first hospital visit, 20.0% received early treatment within 3 months of disease onset, and 54.4% received steady treatment. More than half of the patients had a moderate to severe impairment in QOL. Topical/intralesional steroid injections were the most common treatment. Systemic immunosuppressants were frequently prescribed to patients with lymphocytic PCA, and antibiotics were mostly prescribed to patients with neutrophilic PCA. Conclusion This study provides information on the disease awareness, medical use behavior, QOL, diagnosis, and treatment status of Korean patients with PCA. This can help dermatologists educate patients with PCA to understand the necessity for early diagnosis and steady treatment.

Objectives: Limited information is available concerning the epidemiology of stroke and acute myocardial infarction (AMI) in the Republic of Korea. This study aimed to develop a national surveillance system to monitor the incidence of stroke and AMI using national claims data. Methods: We developed and validated identification algorithms for stroke and AMI using claims data. This validation involved a 2-stage stratified sampling method with a review of medical records for sampled cases. The weighted positive predictive value (PPV) and negative predictive value (NPV) were calculated based on the sampling structure and the correspondingsampling rates. Incident cases and the incidence rates of stroke and AMI in the Republic ofKorea were estimated by applying the algorithms and weighted PPV and NPV to the 2018National Health Insurance Service claims data. Results: In total, 2,200 cases (1,086 stroke cases and 1,114 AMI cases) were sampled from the 2018 claims database. The sensitivity and specificity of the algorithms were 94.3% and 88.6% for stroke and 97.9% and 90.1% for AMI, respectively. The estimated number of cases, including recurrent events, was 150,837 for stroke and 40,529 for AMI in 2018. The age- and sex-standardized incidence rate for stroke and AMI was 180.2 and 46.1 cases per 100,000 person-years, respectively, in 2018. Conclusion This study demonstrates the feasibility of developing a national surveillance system based on claims data and identification algorithms for stroke and AMI to monitor their incidence rates.

For most shoulder surgeons, addressing massive rotator cuff tears that have retracted ends poses a significant challenge. This study introduces a technique, termed the “sandwich augmentation technique,” which incorporates the long head of the biceps tendon (LHBT) into a single-row rotator cuff repair. The procedure, performed arthroscopically with the patient in the lateral decubitus position, involves attaching the LHBT and rotator cuff tissues together to the greater tuberosity. This effectively sandwiches them within the rotator cuff footprint. The goal of this technique is to enhance the thickness of the fully interposed cuff margin, thereby providing better support for the repair. The sandwich augmentation technique, which integrates the biceps into the rotator cuff repair, has demonstrated positive clinical outcomes and moderate anatomical results. It also prevents superior migration of the humeral head in cases of large or massive rotator cuff tears. Further research is required to assess the long-term effectiveness of this procedure.

The most common extradural spinal lesions are metastatic tumors. However, approximately 2.5% to 3.5% of spinal meningiomas are extradural meningiomas. This article describes a rare case of a thoracic extradural meningioma. A 58-year-old woman was admitted following two months of gait disturbance. Magnetic resonance imaging suggested an extradural meningioma at the T1-5 level. Radical surgical resection was performed, and the lesion was pathologically identified as meningothelial meningioma. Additionally, we reviewed and summarized 12 cases of spinal extradural masses since 2018. Based on the literature, we discuss the location, pathology, and clinical outcomes of these uncommon lesions.

Objective: Osteoporosis is highly prevalent among older adults and women. This condition leads to a deterioration in bone mineral density and microarchitecture, significantly increasing the risk of fractures. Additionally, osteoporosis commonly results in complications such as screw loosening and non-union during spinal surgery. Deep-learning algorithms have now achieved an accuracy comparable to the current human margin of error. Therefore, this study explored the potential of using transfer learning in deep learning algorithms to predict, diagnose, and screen for osteoporosis using commonly obtained sagittal spine X-rays from patients with spinal conditions. Methods: We retrospectively evaluated 2,300 consecutive patients who underwent dual energy X-ray absorptiometry (DXA) and lumbar sagittal plain X-ray exams between 2013 and 2021. The exclusion criteria included: (1) a gap of more than 1 year between the DXA and X-ray exams; (2) vertebrae that had undergone vertebroplasty; (3) lack of spine anterior-posterior DXA; and (4) images that were unassessable. Ultimately, 256 patients (images) were included in the study. Transfer learning was applied using convolutional neural network (CNN) techniques, specifically visual geometry group (VGG) 16, VGG 19, ResNet50, and Xception. Results: The most accurate CNN model in the training group was ResNet50, with an accuracy of 0.95. ResNet50 showed the best performance, with an accuracy of 0.82, precision of 0.80, recall of 0.86, and F1-score of 0.83. Additionally, its area under the curve (0.76) was higher than that other CNN models. The confusion matrix for ResNet50’s performance displayed the outcomes for images predicted as osteoporosis (n=12) among the test data osteoporosis images (n=14) Conclusion Artificial intelligence (AI) technology employing deep learning techniques is significantly nearing human capabilities in the role of diagnostic assistance. The diagnosis of osteoporosis using bone mineral density is expected to evolve into a comprehensive diagnostic aid or decision-making tool with the integration of AI in the future.

For most shoulder surgeons, addressing massive rotator cuff tears that have retracted ends poses a significant challenge. This study introduces a technique, termed the “sandwich augmentation technique,” which incorporates the long head of the biceps tendon (LHBT) into a single-row rotator cuff repair. The procedure, performed arthroscopically with the patient in the lateral decubitus position, involves attaching the LHBT and rotator cuff tissues together to the greater tuberosity. This effectively sandwiches them within the rotator cuff footprint. The goal of this technique is to enhance the thickness of the fully interposed cuff margin, thereby providing better support for the repair. The sandwich augmentation technique, which integrates the biceps into the rotator cuff repair, has demonstrated positive clinical outcomes and moderate anatomical results. It also prevents superior migration of the humeral head in cases of large or massive rotator cuff tears. Further research is required to assess the long-term effectiveness of this procedure.

For most shoulder surgeons, addressing massive rotator cuff tears that have retracted ends poses a significant challenge. This study introduces a technique, termed the “sandwich augmentation technique,” which incorporates the long head of the biceps tendon (LHBT) into a single-row rotator cuff repair. The procedure, performed arthroscopically with the patient in the lateral decubitus position, involves attaching the LHBT and rotator cuff tissues together to the greater tuberosity. This effectively sandwiches them within the rotator cuff footprint. The goal of this technique is to enhance the thickness of the fully interposed cuff margin, thereby providing better support for the repair. The sandwich augmentation technique, which integrates the biceps into the rotator cuff repair, has demonstrated positive clinical outcomes and moderate anatomical results. It also prevents superior migration of the humeral head in cases of large or massive rotator cuff tears. Further research is required to assess the long-term effectiveness of this procedure.

For most shoulder surgeons, addressing massive rotator cuff tears that have retracted ends poses a significant challenge. This study introduces a technique, termed the “sandwich augmentation technique,” which incorporates the long head of the biceps tendon (LHBT) into a single-row rotator cuff repair. The procedure, performed arthroscopically with the patient in the lateral decubitus position, involves attaching the LHBT and rotator cuff tissues together to the greater tuberosity. This effectively sandwiches them within the rotator cuff footprint. The goal of this technique is to enhance the thickness of the fully interposed cuff margin, thereby providing better support for the repair. The sandwich augmentation technique, which integrates the biceps into the rotator cuff repair, has demonstrated positive clinical outcomes and moderate anatomical results. It also prevents superior migration of the humeral head in cases of large or massive rotator cuff tears. Further research is required to assess the long-term effectiveness of this procedure.

Background: and Purpose The influence of imaging features of brain frailty on outcomes were investigated in acute ischemic stroke patients with minor symptoms and large-vessel occlusion (LVO). Methods: This was a retrospective analysis of a prospective, multicenter, nationwide registry of consecutive patients with acute (within 24 h) minor (National Institutes of Health Stroke Scale score=0–5) ischemic stroke with anterior circulation LVO (acute minor LVO). Brain frailty was stratified according to the presence of an advanced white-matter hyperintensity (WMH) (Fazekas grade 2 or 3), silent/old brain infarct, or cerebral microbleeds. The primary outcome was a composite of stroke, myocardial infarction, and all-cause mortality within 1 year. Results: In total, 1,067 patients (age=67.2±13.1 years [mean±SD], 61.3% males) were analyzed. The proportions of patients according to the numbers of brain frailty burdens were as follows: no burden in 49.2%, one burden in 30.0%, two burdens in 17.3%, and three burdens in 3.5%. In the Cox proportional-hazards analysis, the presence of more brain frailty burdens was associated with a higher risk of 1-year primary outcomes, but after adjusting for clinically relevant variables there were no significant associations between burdens of brain frailty and 1-year vascular outcomes. For individual components of brain frailty, an advanced WMH was independently associated with an increased risk of 1-year primary outcomes (adjusted hazard ratio [aHR]=1.33, 95% confidence interval [CI]=1.03–1.71) and stroke (aHR=1.32, 95% CI=1.00–1.75). Conclusions The baseline imaging markers of brain frailty were common in acute minor ischemic stroke patients with LVO. An advanced WMH was the only frailty marker associated with an increased risk of vascular events. Further research is needed into the association between brain frailty and prognosis in patients with acute minor LVO.

Background: A decline in masticatory function may indicate brain dysfunction related to dementia, but the relationship between masticatory function and dementia risk remains unclear. This study aimed to investigate whether masticatory function is associated with the risk of cognitive decline and dementia. Methods: Data were obtained from the nationwide prospective cohort study of randomly sampled community-dwelling Koreans aged ≥ 60 years. The 5,064 non-demented participants, whose number of chewing cycles per bite was assessed by clinical interview, were followed for 8 years with biennial assessments of cognitive performance and clinical diagnoses of all-cause dementia and Alzheimer’s disease (AD). Structural brain magnetic resonance imaging was collected from a subset of cohort participants and their spouses for imaging analyses. Results: Males who chewed ≥ 30 cycles/bite had faster decline in global cognition and memory function and were at higher risk for incident all-cause dementia (hazard ratio [HR], 2.91; 95% confidence interval [CI], 1.18–7.18) and AD (HR, 3.22; 95% CI, 1.14–9.11) compared to males with less than 10 cycles/bite. Additionally, increased chewing cycles in males were associated with reduced brain volume, particularly in regions involved in compensatory cognitive control of mastication. There was no significant association between chewing cycles and the risk of dementia or brain volume in females. Conclusion Older men who frequently chew their meals could be considered a notable population at risk for dementia who should be carefully assessed for their cognitive trajectories.