Objective:To explore the related risk factors of diaphragmatic hernia after thoraco-laparoscopic minimally invasive Mckeown esophagectomy (MIME).Methods:This is a retrospective controlled study. A retrospective analysis was conducted on the clinical data of patients who underwent MIME at the Department of Thoracic Surgery, Fourth Hospital of Hebei Medical University, from January 2016 to December 2023. A total of 619 patients were included. There were 423 males and 196 females, aged (63.7±7.6) years (range: 37 to 87 years). The diagnosis of diaphragmatic hernia after MIME was made based on clinical symptoms and CT scans. Patients were divided into two groups: the diaphragmatic hernia group ( n=16) and the non-diaphragmatic hernia group ( n=603). Clinical data, including age, gender, body mass index (BMI), smoking history, tumor location (upper, middle, and lower thoracic esophagus), preoperative neoadjuvant therapy history, and tumor staging, were collected and analyzed. A BMI of 25 kg/m2 and age of 65 years were used as cutoff values. The χ2 test and Fisher′s exact test were used to compare the data between the two groups, and Logistic regression was employed for risk factor analysis. The diaphragmatic hernia group and non-diaphragmatic hernia group were matched in a 1∶3 ratio with a caliper value of 0.02 by propensity score matching. Kaplan-Meier method was used for survival analysis and compared using the log-rank test for between-group differences. Results:The proportion of patients with diaphragmatic hernia after MIME who underwent surgical treatment was 6/16. Statistically significant differences were observed between the diaphragmatic hernia group and the non-diaphragmatic hernia group in terms of age ( χ2=16.057, P<0.01), BMI ( χ2=16.057, P<0.01), and tumor location ( χ2=12.048, P=0.002). Multivariate logistic regression analysis revealed that age ≥65 years ( OR=1.236, P=0.023) and BMI<25 kg/m2 ( OR=0.810, P<0.01) were independent risk factors for the development of diaphragmatic hernia after MIME. Survival analysis showed no significant difference in long-term survival between patients with and without diaphragmatic hernia after MIME ( P=0.187), and whether patients with diaphragmatic hernia underwent surgery was not associated with long-term prognosis ( P=0.560). Conclusion:Patients with BMI<25 kg/m 2 and age ≥65 years are independent risk factors for diaphragmatic hernia after MIME. The occurrence of diaphragmatic hernia is not associated with prognosis, and whether patients with diaphragmatic hernia undergo surgery does not affect the prognosis.

Objective:To explore the related risk factors of diaphragmatic hernia after thoraco-laparoscopic minimally invasive Mckeown esophagectomy (MIME).Methods:This is a retrospective controlled study. A retrospective analysis was conducted on the clinical data of patients who underwent MIME at the Department of Thoracic Surgery, Fourth Hospital of Hebei Medical University, from January 2016 to December 2023. A total of 619 patients were included. There were 423 males and 196 females, aged (63.7±7.6) years (range: 37 to 87 years). The diagnosis of diaphragmatic hernia after MIME was made based on clinical symptoms and CT scans. Patients were divided into two groups: the diaphragmatic hernia group ( n=16) and the non-diaphragmatic hernia group ( n=603). Clinical data, including age, gender, body mass index (BMI), smoking history, tumor location (upper, middle, and lower thoracic esophagus), preoperative neoadjuvant therapy history, and tumor staging, were collected and analyzed. A BMI of 25 kg/m2 and age of 65 years were used as cutoff values. The χ2 test and Fisher′s exact test were used to compare the data between the two groups, and Logistic regression was employed for risk factor analysis. The diaphragmatic hernia group and non-diaphragmatic hernia group were matched in a 1∶3 ratio with a caliper value of 0.02 by propensity score matching. Kaplan-Meier method was used for survival analysis and compared using the log-rank test for between-group differences. Results:The proportion of patients with diaphragmatic hernia after MIME who underwent surgical treatment was 6/16. Statistically significant differences were observed between the diaphragmatic hernia group and the non-diaphragmatic hernia group in terms of age ( χ2=16.057, P<0.01), BMI ( χ2=16.057, P<0.01), and tumor location ( χ2=12.048, P=0.002). Multivariate logistic regression analysis revealed that age ≥65 years ( OR=1.236, P=0.023) and BMI<25 kg/m2 ( OR=0.810, P<0.01) were independent risk factors for the development of diaphragmatic hernia after MIME. Survival analysis showed no significant difference in long-term survival between patients with and without diaphragmatic hernia after MIME ( P=0.187), and whether patients with diaphragmatic hernia underwent surgery was not associated with long-term prognosis ( P=0.560). Conclusion:Patients with BMI<25 kg/m 2 and age ≥65 years are independent risk factors for diaphragmatic hernia after MIME. The occurrence of diaphragmatic hernia is not associated with prognosis, and whether patients with diaphragmatic hernia undergo surgery does not affect the prognosis.

Objective:To analyze the multimodal ultrasound characteristics of primary breast cancer and sentinel lymph node (SLN) and to establish a nomogram model for predicting SLN metastasis in invasive breast cancer, thereby providing reference for precise clinical diagnosis and treatment.Methods:A total of 329 patients diagnosed with invasive breast cancer and admitted to the Affiliated Hospital of Nanjing University of Chinese Medicine from June 2018 to October 2023 were retrospectively enrolled. They were randomly divided into a training cohort ( n=230) and a validation cohort ( n=99) in a ratio of 7 to 3. In the training cohort, ultrasound findings and clinical parameters were analyzed, univariate and multivariate Logistic regression analyses were used to identify independent predictive factors for SLN metastasis, and a nomogram model was constructed based on these factors. The ROC curve, calibration curve, and decision curve analysis (DCA) were plotted between the training and validation cohorts to assess the discrimination, calibration, and clinical applicability of the nomogram model. Results:Regression analysis identified 3 independent risk factors for establishing the nomogram prediction model: ratio of the long diameter to the short diameter of SLN ( P=0.020), lymphatic contrast-enhanced ultrasound (LCEUS) enhancement pattern ( P<0.001) and intravenous contrast-enhanced ultrasound (ICEUS) enhancement mode ( P=0.002). The area under the curve (AUC) of the training cohort was 0.888, the accuracy was 0.865; the AUC of the validation cohort was 0.870, the accuracy was 0.859, demonstrating good predictive performance of the model in both cohorts. The calibration curve demonstrated that the nomogram has a strong concordance between predicted and actual probability. DCA demonstrated that the nomogram could increase net benefit within a certain probability threshold range. Conclusions:The nomogram based on ratio of the long diameter to the short diameter of SLN, LCEUS enhancement pattern and ICEUS enhancement mode can effectively predict SLN status in patients with invasive breast cancer, facilitating precise diagnosis and treatment.

Objective:To explore the diagnostic efficacy of percutaneous lymphatic contrast ultrasound (LCEUS) combined with clinicopathological features in the diagnosis of breast cancer sentinel lymph node (SLN).Methods:A total of 135 breast cancer patients who underwent sentinel lymph node biopsy and axillary lymph node radical resection were prospectively collected in the Affiliated Hospital of Nanjing University of Chinese Medicine from July 2018 to June 2021, and the breast masses and SLNs were evaluated by routine ultrasound, contrast-enhanced ultrasound and LCEUS within one week before surgery. The surgeons recorded the patients′ clinical characteristics before surgeries, and the pathology of the masses and SLNs were recorded after surgeries. Univariate analysis and multivariate Logistic regression analysis were used to explore the correlation between ultrasound clinicopathological features of breast cancer and SLN metastasis, then to establish a model, and evaluate the diagnostic efficacy of the model.Results:Univariate analysis showed that SLN metastasis of breast cancer was associated with age, axillary palpation of enlarged lymph nodes, pathological type of mass, clear hilum of lymph nodes, cortical thickening of lymph nodes, marginal blood flow in lymph nodes, and the appearances of LCEUS(all P<0.05). Multivariate Logistic regression analysis showed age, palpation of axillary lymph nodes and the appearances of LCEUS were independent predictors of SLN properties, the OR values were 6.90 ( P=0.030), 16.06 ( P<0.001) and 12.71 ( P<0.001), respectively. The regression equation was Logit(P)=0.887+ 1.932× axillary lymph node palpation + 2.776× marginal blood flow + 2.542×LCEUS. Conclusions:LCEUS combined with marginal blood flow in lymph nodes and palpation of axillary lymph nodes can help to determine the SLN state.