Purpose: Adjuvant chemotherapy (AC) is recommended for muscle-invasive or lymph node-positive upper urinary tract urothelial carcinoma (UTUC) after radical nephroureterectomy (RNU). However, disease recurrences are frequently observed in pT1 disease, and AC may increase the risk of overtreatment in pT2 UTUC patients. This study aimed to validate a risk-adapted scoring model for selecting UTUC patients with ≤pT2 disease who would benefit from AC. Materials and Methods: We retrospectively analyzed 443 ≤pT2 UTUC patients who underwent RNU. A risk-adapted scoring model was applied, categorizing patients into low- or high-risk groups. Recurrence-free survival (RFS) and cancer-specific survival (CSS) were analyzed according to risk group. Results: Overall, 355 patients (80.1%) and 88 patients (19.9%) were categorized into the low- and high-risk groups, respectively, with the latter having higher pathological stages, concurrent carcinoma in situ, and synchronous bladder tumors. Disease recurrence occurred in 45 patients (10.2%), among whom 19 (5.4%) and 26 (29.5%) belonged to the low- and high-risk groups, respectively (p<0.001). High-risk patients had significantly shorter RFS (64.3% vs. 93.6% at 60 months; hazard ratio [HR] 13.66; p<0.001) and worse CSS (80.7% vs. 91.5% at 60 months; HR 4.25; p=0.002). Multivariate analysis confirmed that pT2 stage and the high-risk group were independent predictors of recurrence and cancer-specific death (p<0.001). Decision curve analysis for RFS showed larger net benefits with our model than with the T stage model. Conclusions The risk-adapted scoring model effectively predicts recurrence and identifies optimal candidates for AC post RNU in non-metastatic UTUC.

Purpose: This study aimed to analyze the risk factors influencing intraoperative hypothermia in patients undergoing breast cancer surgery. Methods: Data were collected from 129 patients who underwent breast cancer surgery at a general hospital in City B from May 7 to November 14, 2024. The collected data were analyzed using SPSS/WIN 27 with an independent t-test, a χ 2 test ( χ 2 -test), and logistic regression analysis. Results: A total of 61 (47.3%) out of 129 patients experienced intraoperative hypothermia. According to the results of the logistic regression analysis, lower BMI (odds ratio [OR]=0.85, CI=0.74~0.98, p=.028), a total amount of IV fluid of ≥500 mL (odds ratio [OR]=4.47,CI=1.07~18.75, p=.041), a surgery duration of ≥120 minutes (odds ratio [OR]=4.10, CI=1.02~16.51, p=.047), and intraoperative hypotension (odds ratio [OR]=3.64, CI=1.22~10.86, p=.020) were associated with an increased risk of intraoperative hypothermia. Conclusion To prevent intraoperative hypothermia, continuous observation and nursing intervention are required for patients with low BMI or those expected to undergo prolonged surgery. The use of warm fluids during surgery and proper intraoperative blood pressure management is also recommended.

Thymic diseases such as thymic hyperplasia, thymic cysts, thymoma, and thymic carcinoma are common causes of mediastinal masses that present with diverse clinical and radiological features. Magnetic resonance imaging (MRI) is a pivotal tool for evaluating thymic pathologies as it offers superior soft-tissue contrast and has the ability to distinguish between benign and malignant lesions. Thymic MRI protocols include T1- and T2-weighted imaging, diffusion-weighted MRI (DW-MRI) with apparent diffusion coefficient mapping, and contrast-enhanced MRI (CE-MRI), each offering unique diagnostic insights into the composition and behavior of thymic lesions. However, interpreting MRI findings in thymic diseases may present challenges. Thymic cysts containing hemorrhage or proteinaceous material may mimic solid lesions owing to altered signal intensities, necessitating DW-MRI and CE-MRI for accurate differentiation. Small thymic lesions, particularly those <1 cm in diameter, are susceptible to signal distortion and partial volume effects, complicating their detection and characterization. Furthermore, respiratory and cardiac motion artifacts can degrade the image quality and obscure important diagnostic details, especially in lesions near the heart and lungs. Despite these challenges, MRI remains a critical imaging modality for assessing and managing thymic diseases, offering detailed tissue characterization. Interpretive pitfalls and technical limitations underscore the importance of employing optimized imaging protocols and expert analyses to ensure diagnostic accuracy and guide appropriate clinical decision-making.

Purpose: This study aimed to analyze the risk factors influencing intraoperative hypothermia in patients undergoing breast cancer surgery. Methods: Data were collected from 129 patients who underwent breast cancer surgery at a general hospital in City B from May 7 to November 14, 2024. The collected data were analyzed using SPSS/WIN 27 with an independent t-test, a χ 2 test ( χ 2 -test), and logistic regression analysis. Results: A total of 61 (47.3%) out of 129 patients experienced intraoperative hypothermia. According to the results of the logistic regression analysis, lower BMI (odds ratio [OR]=0.85, CI=0.74~0.98, p=.028), a total amount of IV fluid of ≥500 mL (odds ratio [OR]=4.47,CI=1.07~18.75, p=.041), a surgery duration of ≥120 minutes (odds ratio [OR]=4.10, CI=1.02~16.51, p=.047), and intraoperative hypotension (odds ratio [OR]=3.64, CI=1.22~10.86, p=.020) were associated with an increased risk of intraoperative hypothermia. Conclusion To prevent intraoperative hypothermia, continuous observation and nursing intervention are required for patients with low BMI or those expected to undergo prolonged surgery. The use of warm fluids during surgery and proper intraoperative blood pressure management is also recommended.

Thymic diseases such as thymic hyperplasia, thymic cysts, thymoma, and thymic carcinoma are common causes of mediastinal masses that present with diverse clinical and radiological features. Magnetic resonance imaging (MRI) is a pivotal tool for evaluating thymic pathologies as it offers superior soft-tissue contrast and has the ability to distinguish between benign and malignant lesions. Thymic MRI protocols include T1- and T2-weighted imaging, diffusion-weighted MRI (DW-MRI) with apparent diffusion coefficient mapping, and contrast-enhanced MRI (CE-MRI), each offering unique diagnostic insights into the composition and behavior of thymic lesions. However, interpreting MRI findings in thymic diseases may present challenges. Thymic cysts containing hemorrhage or proteinaceous material may mimic solid lesions owing to altered signal intensities, necessitating DW-MRI and CE-MRI for accurate differentiation. Small thymic lesions, particularly those <1 cm in diameter, are susceptible to signal distortion and partial volume effects, complicating their detection and characterization. Furthermore, respiratory and cardiac motion artifacts can degrade the image quality and obscure important diagnostic details, especially in lesions near the heart and lungs. Despite these challenges, MRI remains a critical imaging modality for assessing and managing thymic diseases, offering detailed tissue characterization. Interpretive pitfalls and technical limitations underscore the importance of employing optimized imaging protocols and expert analyses to ensure diagnostic accuracy and guide appropriate clinical decision-making.

Purpose: This study aimed to analyze the risk factors influencing intraoperative hypothermia in patients undergoing breast cancer surgery. Methods: Data were collected from 129 patients who underwent breast cancer surgery at a general hospital in City B from May 7 to November 14, 2024. The collected data were analyzed using SPSS/WIN 27 with an independent t-test, a χ 2 test ( χ 2 -test), and logistic regression analysis. Results: A total of 61 (47.3%) out of 129 patients experienced intraoperative hypothermia. According to the results of the logistic regression analysis, lower BMI (odds ratio [OR]=0.85, CI=0.74~0.98, p=.028), a total amount of IV fluid of ≥500 mL (odds ratio [OR]=4.47,CI=1.07~18.75, p=.041), a surgery duration of ≥120 minutes (odds ratio [OR]=4.10, CI=1.02~16.51, p=.047), and intraoperative hypotension (odds ratio [OR]=3.64, CI=1.22~10.86, p=.020) were associated with an increased risk of intraoperative hypothermia. Conclusion To prevent intraoperative hypothermia, continuous observation and nursing intervention are required for patients with low BMI or those expected to undergo prolonged surgery. The use of warm fluids during surgery and proper intraoperative blood pressure management is also recommended.

Thymic diseases such as thymic hyperplasia, thymic cysts, thymoma, and thymic carcinoma are common causes of mediastinal masses that present with diverse clinical and radiological features. Magnetic resonance imaging (MRI) is a pivotal tool for evaluating thymic pathologies as it offers superior soft-tissue contrast and has the ability to distinguish between benign and malignant lesions. Thymic MRI protocols include T1- and T2-weighted imaging, diffusion-weighted MRI (DW-MRI) with apparent diffusion coefficient mapping, and contrast-enhanced MRI (CE-MRI), each offering unique diagnostic insights into the composition and behavior of thymic lesions. However, interpreting MRI findings in thymic diseases may present challenges. Thymic cysts containing hemorrhage or proteinaceous material may mimic solid lesions owing to altered signal intensities, necessitating DW-MRI and CE-MRI for accurate differentiation. Small thymic lesions, particularly those <1 cm in diameter, are susceptible to signal distortion and partial volume effects, complicating their detection and characterization. Furthermore, respiratory and cardiac motion artifacts can degrade the image quality and obscure important diagnostic details, especially in lesions near the heart and lungs. Despite these challenges, MRI remains a critical imaging modality for assessing and managing thymic diseases, offering detailed tissue characterization. Interpretive pitfalls and technical limitations underscore the importance of employing optimized imaging protocols and expert analyses to ensure diagnostic accuracy and guide appropriate clinical decision-making.