During routine antenatal ultrasound examinations, an ovarian mass can be found incidentally. In clinical practice, the differential diagnosis between benign and malignant ovarian masses is essential for planning further management. Ultrasound imaging has become the most popular diagnostic tool during pregnancy, with the recent development of ultrasonography. In non-pregnant women, several methods have been used to predict malignant ovarian masses before surgery. The International Ovarian Tumor Analysis (IOTA) group reported several scoring systems, such as the IOTA simple rules, IOTA logistic regression models, and IOTA assessment of different NEoplasias in the adneXa. Other researchers have also evaluated the malignancy of ovarian masses before surgery using scoring systems such as the Sassone score, pelvic mass score, DePriest score, Lerner score, and Ovarian-Adnexal Reporting and Data System. These researchers suggested specific features of ovarian masses that can be used for differential diagnosis, including size, proportion of solid tissue, papillary projections, inner wall structure, locules, wall thickness, septa, echogenicity, acoustic shadows, and presence of ascites. Although these factors can also be measured in pregnant women using ultrasound, only a few studies have applied ovarian scoring systems in pregnant women. In this article, we reviewed various scoring systems for predicting malignant tumors of the ovary and determined whether they can be applied to pregnant women.

If cardiac sympathetic activity increases after myocardial injury, a ventricular electrical storm (VES) may occur. The stellate ganglion block is a minimally invasive technique performed to control VES through temporary sympathetic cessation. This case was treated after 3 stellate ganglion blocks in VES developed after non-ST elevation myocardial infarction. This patient underwent prophylactic stellate ganglion block prior to radical nephrectomy for a renal mass found during hospitalization, and the operation was safely completed. Stellate ganglion block is expected to be a safe treatment option for patients with unstable VES.

BACKGROUND: The astrocyte elevated gene-1 (AEG-1) was cloned as a novel HIV-1 and tumor necrosis factor-alpha-induced transcript from primary human fetal astrocytes. It has been reported that the AEG-1 expression is elevated in subsets of breast cancer, glioblastoma multiforme and melanoma cells, and AEG-1 cooperates with Ha-ras to promote the transformation of immortalized melanocytes. AEG-1 is thought to play a role in promoting cancer development and/or its maintenance. OBJECTIVE: The aim of this study is to determine whether AEG-1 is related to the pathogenesis of melanoma and other melanocytic lesions. METHODS: The nine biopsy specimens each of melanoma, dysplastic nevus, Spitz nevus and compound nevus were studied using immunohistochemical staining. The expressions of AEG-1 were evaluated using an immunostaining-intensity-distribution index. RESULTS: The expression of AEG-1 was significantly higher in the melanoma and dysplastic nevus than in the compound nevus. The expression was also significantly higher in the melanoma than in the Spitz nevus. CONCLUSION: AEG-1 may be related to the pathogenesis of both dysplastic nevus and melanoma, but it may not be related to Spitz nevus.
Astrocytes ; Biopsy ; Breast Neoplasms ; Clone Cells ; Dysplastic Nevus Syndrome ; Glioblastoma ; HIV-1 ; Humans ; Melanocytes ; Melanoma ; Necrosis ; Nevus ; Nevus, Epithelioid and Spindle Cell

BACKGROUND: The astrocyte elevated gene-1 (AEG-1) was cloned as a novel HIV-1 and tumor necrosis factor-alpha-induced transcript from primary human fetal astrocytes. It has been reported that the AEG-1 expression is elevated in subsets of breast cancer, glioblastoma multiforme and melanoma cells, and AEG-1 cooperates with Ha-ras to promote the transformation of immortalized melanocytes. AEG-1 is thought to play a role in promoting cancer development and/or its maintenance. OBJECTIVE: The aim of this study is to determine whether AEG-1 is related to the pathogenesis of melanoma and other melanocytic lesions. METHODS: The nine biopsy specimens each of melanoma, dysplastic nevus, Spitz nevus and compound nevus were studied using immunohistochemical staining. The expressions of AEG-1 were evaluated using an immunostaining-intensity-distribution index. RESULTS: The expression of AEG-1 was significantly higher in the melanoma and dysplastic nevus than in the compound nevus. The expression was also significantly higher in the melanoma than in the Spitz nevus. CONCLUSION: AEG-1 may be related to the pathogenesis of both dysplastic nevus and melanoma, but it may not be related to Spitz nevus.
Astrocytes ; Biopsy ; Breast Neoplasms ; Clone Cells ; Dysplastic Nevus Syndrome ; Glioblastoma ; HIV-1 ; Humans ; Melanocytes ; Melanoma ; Necrosis ; Nevus ; Nevus, Epithelioid and Spindle Cell

Background: Visceral pleural invasion (VPI) is a poor prognostic factor that contributes to the upstaging of early lung cancers. However, the preoperative assessment of VPI presents challenges. This study was conducted to examine intraoperative pleural carcinoembryonic antigen (pCEA) level and maximum standardized uptake value (SUVmax) as predictive markers of VPI in patients with clinical T1N0M0 lung adenocarcinoma. Methods: A retrospective review was conducted of the medical records of 613 patients who underwent intraoperative pCEA sampling and lung resection for non-small cell lung cancer. Of these, 390 individuals with clinical stage I adenocarcinoma and tumors ≤30 mm were included. Based on computed tomography findings, these patients were divided into pleural contact (n=186) and non-pleural contact (n=204) groups. A receiver operating characteristic (ROC) curve was constructed to analyze the association between pCEA and SUVmax in relation to VPI. Additionally, logistic regression analysis was performed to evaluate risk factors for VPI in each group. Results: ROC curve analysis revealed that pCEA level greater than 2.565 ng/mL (area under the curve [AUC]=0.751) and SUVmax above 4.25 (AUC=0.801) were highly predictive of VPI in patients exhibiting pleural contact. Based on multivariable analysis, pCEA (odds ratio [OR], 3.00; 95% confidence interval [CI], 1.14–7.87; p=0.026) and SUVmax (OR, 5.25; 95% CI, 1.90–14.50; p=0.001) were significant risk factors for VPI in the pleural contact group. Conclusion In patients with clinical stage I lung adenocarcinoma exhibiting pleural contact, pCEA and SUVmax are potential predictive indicators of VPI. These markers may be helpful in planning for lung cancer surgery.

Background: Visceral pleural invasion (VPI) is a poor prognostic factor that contributes to the upstaging of early lung cancers. However, the preoperative assessment of VPI presents challenges. This study was conducted to examine intraoperative pleural carcinoembryonic antigen (pCEA) level and maximum standardized uptake value (SUVmax) as predictive markers of VPI in patients with clinical T1N0M0 lung adenocarcinoma. Methods: A retrospective review was conducted of the medical records of 613 patients who underwent intraoperative pCEA sampling and lung resection for non-small cell lung cancer. Of these, 390 individuals with clinical stage I adenocarcinoma and tumors ≤30 mm were included. Based on computed tomography findings, these patients were divided into pleural contact (n=186) and non-pleural contact (n=204) groups. A receiver operating characteristic (ROC) curve was constructed to analyze the association between pCEA and SUVmax in relation to VPI. Additionally, logistic regression analysis was performed to evaluate risk factors for VPI in each group. Results: ROC curve analysis revealed that pCEA level greater than 2.565 ng/mL (area under the curve [AUC]=0.751) and SUVmax above 4.25 (AUC=0.801) were highly predictive of VPI in patients exhibiting pleural contact. Based on multivariable analysis, pCEA (odds ratio [OR], 3.00; 95% confidence interval [CI], 1.14–7.87; p=0.026) and SUVmax (OR, 5.25; 95% CI, 1.90–14.50; p=0.001) were significant risk factors for VPI in the pleural contact group. Conclusion In patients with clinical stage I lung adenocarcinoma exhibiting pleural contact, pCEA and SUVmax are potential predictive indicators of VPI. These markers may be helpful in planning for lung cancer surgery.

Background: Visceral pleural invasion (VPI) is a poor prognostic factor that contributes to the upstaging of early lung cancers. However, the preoperative assessment of VPI presents challenges. This study was conducted to examine intraoperative pleural carcinoembryonic antigen (pCEA) level and maximum standardized uptake value (SUVmax) as predictive markers of VPI in patients with clinical T1N0M0 lung adenocarcinoma. Methods: A retrospective review was conducted of the medical records of 613 patients who underwent intraoperative pCEA sampling and lung resection for non-small cell lung cancer. Of these, 390 individuals with clinical stage I adenocarcinoma and tumors ≤30 mm were included. Based on computed tomography findings, these patients were divided into pleural contact (n=186) and non-pleural contact (n=204) groups. A receiver operating characteristic (ROC) curve was constructed to analyze the association between pCEA and SUVmax in relation to VPI. Additionally, logistic regression analysis was performed to evaluate risk factors for VPI in each group. Results: ROC curve analysis revealed that pCEA level greater than 2.565 ng/mL (area under the curve [AUC]=0.751) and SUVmax above 4.25 (AUC=0.801) were highly predictive of VPI in patients exhibiting pleural contact. Based on multivariable analysis, pCEA (odds ratio [OR], 3.00; 95% confidence interval [CI], 1.14–7.87; p=0.026) and SUVmax (OR, 5.25; 95% CI, 1.90–14.50; p=0.001) were significant risk factors for VPI in the pleural contact group. Conclusion In patients with clinical stage I lung adenocarcinoma exhibiting pleural contact, pCEA and SUVmax are potential predictive indicators of VPI. These markers may be helpful in planning for lung cancer surgery.

Background: Visceral pleural invasion (VPI) is a poor prognostic factor that contributes to the upstaging of early lung cancers. However, the preoperative assessment of VPI presents challenges. This study was conducted to examine intraoperative pleural carcinoembryonic antigen (pCEA) level and maximum standardized uptake value (SUVmax) as predictive markers of VPI in patients with clinical T1N0M0 lung adenocarcinoma. Methods: A retrospective review was conducted of the medical records of 613 patients who underwent intraoperative pCEA sampling and lung resection for non-small cell lung cancer. Of these, 390 individuals with clinical stage I adenocarcinoma and tumors ≤30 mm were included. Based on computed tomography findings, these patients were divided into pleural contact (n=186) and non-pleural contact (n=204) groups. A receiver operating characteristic (ROC) curve was constructed to analyze the association between pCEA and SUVmax in relation to VPI. Additionally, logistic regression analysis was performed to evaluate risk factors for VPI in each group. Results: ROC curve analysis revealed that pCEA level greater than 2.565 ng/mL (area under the curve [AUC]=0.751) and SUVmax above 4.25 (AUC=0.801) were highly predictive of VPI in patients exhibiting pleural contact. Based on multivariable analysis, pCEA (odds ratio [OR], 3.00; 95% confidence interval [CI], 1.14–7.87; p=0.026) and SUVmax (OR, 5.25; 95% CI, 1.90–14.50; p=0.001) were significant risk factors for VPI in the pleural contact group. Conclusion In patients with clinical stage I lung adenocarcinoma exhibiting pleural contact, pCEA and SUVmax are potential predictive indicators of VPI. These markers may be helpful in planning for lung cancer surgery.

Background: The aim of this study was to evaluate the association between near work time and depression. Methods: Data of 1,551 workers aged 19–49 years from the sixth Korea National Health and Nutrition Examination Survey were examined. The Patient Health Questionaire-9 scores were used to screen for depression. Participants who scored a total of 10 or above, which is suggestive of the presence of depression, were classified as the depression group; the rest were classified as normal. The correlation between daily near work time and depression was analyzed using multivariate logistic analysis after adjusting for other sociodemographic and health behavior-related variables. Results: Multivariate logistic analysis found that workers with 3 or more hours of near work were more likely to report depression compared to the reference group who had 2 or fewer hours per day of near work (adjusted odds ratio, 2.471; 95% confidence interval, 1.062–5.747). Conclusion Longer near work time was associated with depression among South Korea’s workers. Therefore, it is necessary to reduce near work time to prevent depression.

Background: The aim of this study was to evaluate the association between near work time and depression. Methods: Data of 1,551 workers aged 19–49 years from the sixth Korea National Health and Nutrition Examination Survey were examined. The Patient Health Questionaire-9 scores were used to screen for depression. Participants who scored a total of 10 or above, which is suggestive of the presence of depression, were classified as the depression group; the rest were classified as normal. The correlation between daily near work time and depression was analyzed using multivariate logistic analysis after adjusting for other sociodemographic and health behavior-related variables. Results: Multivariate logistic analysis found that workers with 3 or more hours of near work were more likely to report depression compared to the reference group who had 2 or fewer hours per day of near work (adjusted odds ratio, 2.471; 95% confidence interval, 1.062–5.747). Conclusion Longer near work time was associated with depression among South Korea’s workers. Therefore, it is necessary to reduce near work time to prevent depression.