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Inhibition of p65-phosphorylation by caffeic acid phenethyl ester effectively alleviated the detrimental effects of galectins, resulting in downregulated MMP secretion, reduced matrix breakdown and augmented pellet size. check details This study suggests that the dysregulated galectin network in OA cartilage leads to extracellular matrix breakdown, and provides encouraging evidence of the feasible inhibition of galectin-triggered activities. OA chondrocyte pellets have the potential to serve as in vitro disease model for further studies on galectins in OA onset and progression.

Minimally invasive approach has been increasingly applied in liver resection. However, laparoscopic major hepatectomy is technically demanding and is practiced only in expert centers around the world. Conversely, use of robot may help to overcome the difficulty and facilitate major hepatectomy.

Between September 2010 and March 2019, 151 patients received robotic hepatectomy for various indications in our center. 36 patients received robotic hemihepatectomy 26 left hepatectomy and 10 right hepatectomy. During the same period, 737 patients received open hepatectomy and out of these, 173 patients received open hemihepatectomy. A propensity score-matched analysis was performed in a 11 ratio.

After matching, there were 36 patients each in the robotic and open group. The two groups were comparable in demographic data, type of hemihepatectomy, underlying pathology, size of tumor, and background cirrhosis. Conversion was needed in 3 patients (8.3%) in the robotic group. There was no operative mortality. The opeapproach, robotic hemihepatectomy has longer operation time but shorter hospital stay. Thus, use of robot is feasible and effective in hemihepatectomy with the benefit of shorter hospital stay.

This study was aimed to develop a computer-aided diagnosis (CAD) system with deep-learning technique and to validate its efficiency on detecting the four categories of lesions such as polyps, advanced cancer, erosion/ulcer and varices at endoscopy.

A deep convolutional neural network (CNN) that consists of more than 50 layers were trained with a big dataset containing 327,121 white light images (WLI) of endoscopy from 117,005 cases collected from 2012 to 2017. Two CAD models were developed using images with or without annotation of the training dataset. The efficiency of the CAD system detecting the four categories of lesions was validated by another dataset containing consecutive cases from 2018 to 2019.

A total of 1734 cases with 33,959 images were included in the validation datasets which containing lesions of polyps 1265, advanced cancer 500, erosion/ulcer 486, and varices 248. The CAD system developed in this study may detect polyps, advanced cancer, erosion/ulcer and varices as abnormality with the sensitivity of 88.3% and specificity of 90.3%, respectively, in 0.05s. The training datasets with annotation may enhance either sensitivity or specificity about 20%, p = 0.000. The sensitivities and specificities for polyps, advanced cancer, erosion/ulcer and varices reached about 90%, respectively. The detect efficiency for the four categories of lesions reached to 89.7%.

The CAD model for detection of multiple lesions in gastrointestinal lumen would be potentially developed into a double check along with real-time assessment and interpretation of the findings encountered by the endoscopists and may be a benefit to reduce the events of missing lesions.

The CAD model for detection of multiple lesions in gastrointestinal lumen would be potentially developed into a double check along with real-time assessment and interpretation of the findings encountered by the endoscopists and may be a benefit to reduce the events of missing lesions.

Laparoscopic Heller-myotomy with Dor-fundoplication (LHD) is the standard surgical treatment for achalasia; however, surgical outcomes over a period greater than 10 years have not been well-explored. The objective of this study was to evaluate the long-term outcomes of LHD for achalasia based on a single-center experience.

Patients who underwent LHD between 1994 and 2019 were included. Of these, we excluded patients who had undergone foregut surgery or whose follow-up data were unavailable. Esophagogastroduodenoscopy (EGD) findings and postoperative persistent and/or recurrent symptoms had been assessed annually. Disease-free rates were calculated using Kaplan-Meier analysis.

A total of 530 patients (mean age 45.0years with 267 men) were included. The median follow-up period was 50.5months. More than 10 years' data were available in 78 patients (14.7%). The cumulative rates of freedom from dysphagia, vomiting, chest pain, and Eckardt score > 3 at 10 years after LHD were 80.1%, 97.5%, 96.3%, and 73.5%, respectively. Probability of esophagitis during 10 years after surgery was 34.4% of patients based on Kaplan-Meier estimation. Approximately 3/4

of patients who had post-LHD esophagitis showed mild esophagitis of Los Angeles classification grade A. Fifteen patients (2.8%) were required a revision of primary LHD. Six patients (1.2%) developed esophageal cancer with an incidence was as high as 219.8/100,000 person-year. All patients with esophageal cancer were found to have early stage tumors that were successfully resected.

Symptomatic relief post-LHD lasted for over 10 years. The incidence rate of esophageal cancer was high. Regular EGD surveillance seems to be helpful for early detection of esophageal cancer early.

Symptomatic relief post-LHD lasted for over 10 years. The incidence rate of esophageal cancer was high. Regular EGD surveillance seems to be helpful for early detection of esophageal cancer early.

Laparoscopic lateral pelvic lymph node dissection (LPLND) in rectal cancer surgery requires considerable skill because the pelvic arteries, which need to be located to guide the dissection, are covered by other tissues and cannot be observed on laparoscopic views. Therefore, surgeons need to localize the pelvic arteries accurately before dissection, to prevent injury to these arteries.

This report proposes a surgical navigation system to facilitate artery localization in laparoscopic LPLND by combining ultrasonic imaging and laparoscopy. Specifically, free-hand laparoscopic ultrasound (LUS) is employed to capture the arteries intraoperatively in this approach, and a laparoscopic vision-based tracking system is utilized to track the LUS probe. To extract the artery contours from the two-dimensional ultrasound image sequences efficiently, an artery extraction framework based on local phase-based snakes was developed. After reconstructing the three-dimensional intraoperative artery model from ultrasound images, a high-resolution artery model segmented from preoperative computed tomography (CT) images was rigidly registered to the intraoperative artery model and overlaid onto the laparoscopic view to guide laparoscopic LPLND.