04), surgical time (P = 0.01), the number of chest tube drainages (P < 0.01), and the total length of hospital stay (P = 0.03). However, no patients experienced bronchopleural fistula, postoperative pneumonia, or conversion to thoracotomy in either group. Five patients experienced prolonged air leakage in the IF group, and no prolonged air leakage occurred in the CF group.

An IF would certainly increase the difficulty of CLM surgery, and thoracoscopic lobectomy using the pulmonary hilum approach is an effective and safe method for CLM patients.

An IF would certainly increase the difficulty of CLM surgery, and thoracoscopic lobectomy using the pulmonary hilum approach is an effective and safe method for CLM patients.

Computer-aided diagnosis (CAD)-based artificial intelligence (AI) has been shown to be highly accurate for detecting and characterizing colon polyps. However, the application of AI to identify normal colon landmarks and differentiate multiple colon diseases has not yet been established. We aimed to develop a convolutional neural network (CNN)-based algorithm (GUTAID) to recognize different colon lesions and anatomical landmarks.

Colonoscopic images were obtained to train and validate the AI classifiers. An independent dataset was collected for verification. The architecture of GUTAID contains two major sub-models the Normal, Polyp, Diverticulum, Cecum and CAncer (NPDCCA) and Narrow-Band Imaging for Adenomatous/Hyperplastic polyps (NBI-AH) models. The development of GUTAID was based on the 16-layer Visual Geometry Group (VGG16) architecture and implemented on Google Cloud Platform.

In total, 7838 colonoscopy images were used for developing and validating the AI model. An additional 1273 images were independently applied to verify the GUTAID. The accuracy for GUTAID in detecting various colon lesions/landmarks is 93.3% for polyps, 93.9% for diverticula, 91.7% for cecum, 97.5% for cancer, and 83.5% for adenomatous/hyperplastic polyps.

A CNN-based algorithm (GUTAID) to identify colonic abnormalities and landmarks was successfully established with high accuracy. Atglistatin in vitro This GUTAID system can further characterize polyps for optical diagnosis. We demonstrated that AI classification methodology is feasible to identify multiple and different colon diseases.

A CNN-based algorithm (GUTAID) to identify colonic abnormalities and landmarks was successfully established with high accuracy. This GUTAID system can further characterize polyps for optical diagnosis. We demonstrated that AI classification methodology is feasible to identify multiple and different colon diseases.

One anastomosis gastric bypass (OAGB) type procedures have been widely adopted outside the United States. International experience of OAGB commonly suggests improved early postoperative safety with OAGB over Roux-en-Y gastric bypass (RYGB). This study aims to report on the early experience with OAGB in Metabolic and Bariatric Surgery Accreditation and Quality Improvement Program (MBSAQIP) accredited centers, and compare with RYGB in terms of complication rates.

The MBSAQIP public use files from 2015 to 2018 were used to identify adult patients who underwent primary OAGB and RYGB. Propensity score analysis was used to estimate the marginal population-average differences between OAGB and RYGB patients. Based on the matched samples, McNemar’s tests and Wilcoxon signed rank test were carried out for binary and continuous outcomes. P-value < 0.05 was considered statistically significant.

Propensity score matching analysis resulted in 279 matched pairs for OAGB and RYGB. Twelve OAGB patients (4.3%) experienced a complication; 3 of them (1.1%) were diagnosed with anastomotic leaks. Compared to 14 (5%) of RYGB patients experiencing a complication; 5 (1.8%) were diagnosed with anastomotic leaks. Reintervention, reoperation and readmission rates for OAGB were 2.5%, 3.2% and 5%, compared to 1.8%, 1.8%, and 3.2% for RYGB.

Our study supports previous data that suggests OAGB has a similar early safety profile compared to RYGB and perioperative risks of OAGB should not be of a concern regarding its adoption. Conversely, OAGB does not seem to be associated with an improved safety profile over RYGB.

Our study supports previous data that suggests OAGB has a similar early safety profile compared to RYGB and perioperative risks of OAGB should not be of a concern regarding its adoption. Conversely, OAGB does not seem to be associated with an improved safety profile over RYGB.

Due to lacking evidence for confirming the efficacy of performing laparoscopic surgery for locally advanced gastric cancer (LAGC). Therefore, this study aimed to compare the static and dynamic failure patterns after laparoscopic gastrectomy (LG) and open gastrectomy (OG) in LAGC.

A total of 1792 LAGC patients who underwent radical resection between January 2010 and January 2017 were divided into the LG group (n = 1557) and the OG group (n = 235). Propensity score matching was performed to balance the two groups. Dynamic hazard rates of failure were calculated using the hazard function. Early and late failure were defined as failure occurring before and after 2years since surgery, respectively.

A total of 1175 patients with LAGC were included after matching (LG group, n = 940; OG, n = 235). The failure rate of the whole cohort was 43.2% (508/1175), accounting for 41.4% (389/940) and 50.6% (119/235) in the LG and OG groups, respectively. Although the two groups showed no significant differences in failure rate for any failure type, landmark analysis showed a lower early distant recurrence rate in the stage IIa-IIIb subgroup of the LG group (OG versus LG 30.3% versus 21.1%, P = 0.004). The dynamic hazard rate peaked at 9.4months (peak rate = 0.0186) before gradually declining. In stage IIa-IIIb patients, the hazard rate of the OG group remained significantly higher than that of the LG group within the first 2years in terms of distant recurrence (peak rate OG versus LG, 0.0091 versus 0.0055).

Given the differences in early failure between LG and OG, more intensive surveillance for distant recurrence within the first 2years should be considered for patients with stage IIa-IIIb after OG.

Given the differences in early failure between LG and OG, more intensive surveillance for distant recurrence within the first 2 years should be considered for patients with stage IIa-IIIb after OG.