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rgets for pharmaceutic therapies and have potential clinical significance. Future in vitro and in vivo experiments are required to more comprehensively explore the biological mechanisms by which these genes affect AAA pathogenesis.

To develop a deep learning (DL) model for prediction of idiopathic macular hole (MH) status after vitrectomy and internal limiting membrane peeling (VILMP) based on optical coherence tomography (OCT) images from four ophthalmic centers.

Eyes followed up at 1 month after VILMP for full-thickness MH were included. In the internal training set, 920 preoperative macular OCT images (as the input) and post-operative status of MH (closed or open, as the output) of 256 eyes from two ophthalmic centers were used to train the DL model using VGG16 algorithm. In the external validation set, 72 preoperative macular OCT images of 36 MH eyes treated by VILMP from another two ophthalmic centers were used to validate the prediction accuracy of the DL model.

In internal training, the mean of overall accuracy for prediction of MH status after VILMP was 84.6% with a mean area under the receiver operating characteristic (ROC) curve (AUC) of 91.04% (sensitivity 85.37% and specificity 81.99%). In external validation, the overall accuracy of predicting MH status after VILMP was 84.7% with an AUC of 89.32% (sensitivity 83.33% and specificity 87.50%). The heatmaps showed that the area critical for prediction was at the central macula, mainly at the MH and its adjacent retina.

The DL model trained by preoperative macular OCT images can be used to predict postoperative MH status after VILMP. The prediction accuracy of our DL model has been validated by multiple ophthalmic centers.

The DL model trained by preoperative macular OCT images can be used to predict postoperative MH status after VILMP. The prediction accuracy of our DL model has been validated by multiple ophthalmic centers.

Endoscopic ultrasound (EUS) is a key imaging technique in gastric cancer (GC). The aim of this study was to evaluate the performance of EUS in the staging of parietal and lymph node involvement in linitis plastica (LP) compared to "classical" GC.

A retrospective multicentric French study was conducted on patients with no metastatic LP and operated by gastrectomy. A 2/1 matching based on pTNM stage and center was performed with GC.

Forty-three patients were included, sixteen patients in the LP group and 27 in the control group. Sensitivity and specificity of EUS for diagnosis of T3-T4 parietal invasion were 77% and 100% respectively in the LP group and 89% and 56% respectively in the control group. Sensitivity and specificity of EUS for diagnosis of lymph node involvement were 73% and 80%, respectively in the LP group and 88% and 50%, respectively in the control group. Patients from LP group had significantly more advanced histological lesion, and frequent undiagnosed peritoneal carcinomatosis.

This study evaluated for the first time in a European population, the preoperative EUS performance in LP. Our study identified a similar sensitivity and specificity of the EUS in LP compared to "classical" GC paving for a broader use of EUS in preoperative settings.

This study evaluated for the first time in a European population, the preoperative EUS performance in LP. Our study identified a similar sensitivity and specificity of the EUS in LP compared to "classical" GC paving for a broader use of EUS in preoperative settings.

Recent studies have shown regional anesthesia might improve the survival of cancer patients. We hypothesized that general-epidural anesthesia (GEA) was associated with longer survival than general anesthesia (GA) in patients undergoing hepatocellular carcinoma (HCC) resections.

A retrospective study included patients who received curative resection for HCC between January 2014 to December 2017. Patients were grouped in GEA

GA. After propensity score matching, perioperative inflammatory scores were calculated. Grade of postoperative complications, length of stay (LOS), dosage of sufentanil used and times of patients requiring rescue analgesia in both groups were compared for intraoperative and postoperative parameter. Survival curves were constructed from the date of surgery to death, univariable and multivariable Cox regression models were used to compare hazard ratios for death.

A total of 772 patients were included in the study. With 386 patients in GA group and 386 patients in GEA group. After propensity score matching, the demographic and baseline biomarkers in the two groups were similar. Patients in GEA group showed significantly lower inflammatory scores. Grade of postoperative complications, LOS, opioid use, and times of patients requiring rescue analgesia was significantly lower in the GEA group. The overall survival (OS) and disease-free survival (DFS) rate was significantly lower in the GA group (54.2%

62.3%, 41.2%

52.5%, P<0.001). The multivariate analysis indicated the GA was associated with shorter OS (HR 1.28, 95% CI 1.07-2.02, P<0.001) and DFS (HR 1.06, 95% CI 1.03-1.71, P<0.001).

GA combined with epidural anesthesia is associated with lower levels of inflammation, and longer survival in patients undergoing hepatectomy.

GA combined with epidural anesthesia is associated with lower levels of inflammation, and longer survival in patients undergoing hepatectomy.

Regional lymph node metastasis (RLNM) has been reported to be a prognostic factor for poor survival outcomes of bone sarcoma. However, studies about risk factors for RLNM of bone sarcoma are extremely rare, and the outcome of such patients remains to be explored. We aimed to identify risk factors for RLNM of bone sarcoma and conduct survival analysis for patients with bone sarcoma with RLNM.

A total of 10,641 patients confirmed of malignant bone sarcomas from 1983 to 2014 were identified from the Surveillance, Epidemiology, and End Results (SEER) database, with 311 being regional lymph node positive. Logistic regression analysis was used to identify risk factors for RLNM, while the Cox proportional hazards model and the Fine and Gray's regression model were used for survival analysis.

The proportion of RLNM was 6.0% in Ewing sarcoma, 2.5% in osteosarcoma and 1.1% in chondrosarcoma. Selleckchem MEK inhibitor Other bone tumors together had a RLNM rate of 4.2%. Risk factors identified by the logistic regression analysis for RLNM were male patients, primary tumor site, tumor type and size.