No abstract available.
Foot* ; Hand*

Pulmonary carcinosarcoma(Sarcomatoid carcinoma of the lung) is a rare pulmonary malignancy, which is defined as having an admixtture of both carcinomatous and sarcomatous components. Pulmonary carcinosarcoma occurs most frequentlly in males between 50 and 80 years of age. It predominantly affects the upper lobe and/or the principal bronchi, and is associated with a history of smoking. Here, we report a case of pulmonary carcinosarcoma with a left lobe atelectasis due to an endobronchial mass in a 56-year-old male. After a left pneumonectomy, the pathologic stage was IIb (T3N0M0). Four months later, an abdominal mass was observed and exploratory laparotomy revealed metastases of the pulmonary carcinosarcoma to the pelvic cavity.
Bronchi ; Carcinosarcoma* ; Humans ; Laparotomy ; Male ; Middle Aged ; Neoplasm Metastasis ; Pneumonectomy* ; Pulmonary Atelectasis ; Smoke ; Smoking

No abstract avaiable.
Glucose* ; Homeostasis*

No abstract available.
Polydactyly*

No abstract available.
Animals ; Aorta, Thoracic* ; Rats*

Purpose: This study was conducted to examine the role of video education on cancer patient advance directive writing. Methods: To evaluate the effects of video education on cancer patient advance directive knowledge, attitude, writing intention and writing, this study employed a non-equivalent control group and non-synchronized design as a quasi-experimental study. The target population of this study were adults aged ≥50 years old, diagnosed with cancer in South Korea. The proximity population were also cancer patients who visited a university hospital. The control group (n=31) were educated verbally using a leaflet and the experimental group (n=30) were educated by a video program developed by the National Bioethics Policy Institute for 10 minutes, supplemented with a leaflet. The advance directives video program form provided by the Korean Ministry of Health and Welfare was used. Results: The experimental group showed a positive change in knowledge level (F=52.82, p<.001, effect size=0.96), attitude (F=12.21, p<.001, effect size=0.46), the intention to write (F=18.22, p<.001, effect size=0.56) advance directives and a higher proportion of writing (χ2=13.87, p<.001) than the control group. Conclusion The results of this research show that providing information through video is a more effective educational medium for retention of knowledge, attitude, writing intention, and writing of cancer patient's advance directives.

Purpose: This study was conducted to gain a comprehensive and in-depth understanding of infection control nurses’ burnout experiences in hospitals during the COVID-19 pandemic. Methods: We recruited 11 infection control nurses (ICNs) who worked in hospitals in Korea through purposive sampling. Data collected through one-to-one, in-depth interviews were transcribed and analyzed using qualitative content analysis. Results: Infection control nurses’ burnout experiences were categorized into five themes and 11 sub-themes. The themes were as follows: “challenges faced while playing a pivotal role in infectious disease management,” “conflict of interest prevalent inside and outside,” “physical and mental collapse,” “a long road to achieving stability in the infection control unit,” and “source of strength to endure.” Conclusion In light of the need to better prepare for future outbreaks of emerging infectious diseases, such as COVID-19, the findings of this study highlight the need for strategic approaches, such as developing programs to provide psychological and social support for infection control nurses, as well as establishing a well-designed system of nursing care for infectious diseases to alleviate their burnout.

No abstract available.

Background: Quantitative computed tomography (QCT) is essential for assessing osteoporosis and monitoring spinal deformities. “Clari-QCT,” a software that uses artificial intelligence to analyze conventional computed tomography (CT) scans and produce QCTequivalent reports. This study aims to evaluate the effectiveness of Clari-QCT by comparing its results with traditional QCT, with the goal of validating new diagnostic tools for spinal deformities. Methods: The study analyzed dual energy X-ray absorptiometry, CT, and QCT data from 18 patients at Inha University Hospital. Clari-QCT software was evaluated for its ability to generate QCT-equivalent reports from CT images. The software processes abdomen CT images, calculates bone density in designated slices, and provides bone mineral density (BMD), T-score, and Z-score values. Patients were classified into normal, mild, and severe spinal deformity groups. Intraclass correlation coefficient (ICC) analysis was used to measure the agreement between actual and predicted BMD values. Results: The study included participants with an average age of 64 and a mean body mass index of 24.88. The average BMD was 94.7 g/cm³ by QCT and 122.5 g/cm³ by Clari- QCT, with individual differences ranging from 4.9 to 61.8. T-score discrepancies ranged from 0.16 to 6.86. ICC analysis showed moderate to high agreement between methods, with ICC1 values of 0.597, ICC2 of 0.64, ICC3 of 0.81, and ICC1k, ICC2k, ICC3k values ranging from 0.748 to 0.895. Conclusions Clari-QCT demonstrates good agreement with actual QCT measurements in normal and severe spinal deformity groups but shows reduced accuracy in patients with mild deformities. If the limitations are addressed, it could become a useful tool for monitoring bone health in patients with spinal deformities.

Background: Quantitative computed tomography (QCT) is essential for assessing osteoporosis and monitoring spinal deformities. “Clari-QCT,” a software that uses artificial intelligence to analyze conventional computed tomography (CT) scans and produce QCTequivalent reports. This study aims to evaluate the effectiveness of Clari-QCT by comparing its results with traditional QCT, with the goal of validating new diagnostic tools for spinal deformities. Methods: The study analyzed dual energy X-ray absorptiometry, CT, and QCT data from 18 patients at Inha University Hospital. Clari-QCT software was evaluated for its ability to generate QCT-equivalent reports from CT images. The software processes abdomen CT images, calculates bone density in designated slices, and provides bone mineral density (BMD), T-score, and Z-score values. Patients were classified into normal, mild, and severe spinal deformity groups. Intraclass correlation coefficient (ICC) analysis was used to measure the agreement between actual and predicted BMD values. Results: The study included participants with an average age of 64 and a mean body mass index of 24.88. The average BMD was 94.7 g/cm³ by QCT and 122.5 g/cm³ by Clari- QCT, with individual differences ranging from 4.9 to 61.8. T-score discrepancies ranged from 0.16 to 6.86. ICC analysis showed moderate to high agreement between methods, with ICC1 values of 0.597, ICC2 of 0.64, ICC3 of 0.81, and ICC1k, ICC2k, ICC3k values ranging from 0.748 to 0.895. Conclusions Clari-QCT demonstrates good agreement with actual QCT measurements in normal and severe spinal deformity groups but shows reduced accuracy in patients with mild deformities. If the limitations are addressed, it could become a useful tool for monitoring bone health in patients with spinal deformities.