Objective To analyze the clinical characteristics and follow-up data of catheter ablation of recurrent atrial tachycardias (ATs) after Mini-Maze surgery,and to explore prognostic factors for recurrence.Methods 59 patients in Guangdong General Hospital with ATs post Mini-Maze and concomitant open-heart surgery from April.2010 to June.2015 were included.According to high density precise mapping,activation mapping,voltage mapping and entrainment mapping,they underwent electrophysiological study and ablation which was guided by three-dimensional mapping system.All patients were followed up regularly.We explored the prognostic factors for recurrence by the Cox regression analysis.Results There were 88 types of ATs being mappedwith mean (1.49 ± 0.75) types of ATs identified per case.Most ATs were macro-reentry ATs(67/88,76.1％)and focal ATs (20/88,22.7％),respectively.56 patients (94.9％) achieved immediate ablation success.In a mean follow-up of (30.8 ± 17.7) months,recurrences were observed in 12 patients after the first time catheter ablation.Recurrent time was 3.5 (1.3,12.0) months and the overall ablation success rate was 74.6％ (44/59).6 patients received second ablation and the achievement of freedom from arrhythmias reached 79.7％ (47/59).Multivariate analysis showed that the LA diameter was the independent predictor for recurrence (HR 1.108,95％ CI 1.002 to 1.226,P =0.045).Conclusion Catheter ablation of ATs post Mini-Maze with concomitant surgery is save and feasible.LA diameter is the independent predictor for recurrence.

Objective: To provide an automatic method for segmentation and diameter measurement of type B aortic dissection (TBAD). Materials and Methods: Aortic computed tomography angiographic images from 139 patients with TBAD were consecutively collected. We implemented a deep learning method based on a three-dimensional (3D) deep convolutional neural (CNN) network, which realizes automatic segmentation and measurement of the entire aorta (EA), true lumen (TL), and false lumen (FL). The accuracy, stability, and measurement time were compared between deep learning and manual methods. The intra- and inter-observer reproducibility of the manual method was also evaluated. Results: The mean dice coefficient scores were 0.958, 0.961, and 0.932 for EA, TL, and FL, respectively. There was a linear relationship between the reference standard and measurement by the manual and deep learning method (r = 0.964 and 0.991, respectively). The average measurement error of the deep learning method was less than that of the manual method (EA, 1.64% vs. 4.13%; TL, 2.46% vs. 11.67%; FL, 2.50% vs. 8.02%). Bland-Altman plots revealed that the deviations of the diameters between the deep learning method and the reference standard were -0.042 mm (-3.412 to 3.330 mm), -0.376 mm (-3.328 to 2.577 mm), and 0.026 mm (-3.040 to 3.092 mm) for EA, TL, and FL, respectively. For the manual method, the corresponding deviations were -0.166 mm (-1.419 to 1.086 mm), -0.050 mm (-0.970 to 1.070 mm), and -0.085 mm (-1.010 to 0.084 mm). Intra- and inter-observer differences were found in measurements with the manual method, but not with the deep learning method. The measurement time with the deep learning method was markedly shorter than with the manual method (21.7 ± 1.1 vs. 82.5 ± 16.1 minutes, p < 0.001). Conclusion The performance of efficient segmentation and diameter measurement of TBADs based on the 3D deep CNN was both accurate and stable. This method is promising for evaluating aortic morphology automatically and alleviating the workload of radiologists in the near future.

Objective:Based on the cost-effectiveness,it aimed to assess the health benefits amd economic value of screening,di-agnosis,treatment,and optimal delicacy management of liver disease in hepatocellular carcinoma(HCC)patients.Methods:A Deci-sion tree-Markov model was developed to compare the cost-effectiveness of HCC screening and long-term surveillance versus no screening in population at risk from the health care system perspective.Results:It is found that HCC screening was a cost-effective approach compared to no screening(Incremental Cost-Effectiveness Ratio[ICER]:17 790 yuan/QALY).Scenario analyses suggested that initiating HCC screening at the age of 40,as recommended by clinical guidelines,and implementing long-term surveillance based on risk stratification were more cost-effective.Conclusions:For the implementation of HCC screening programs,attention should be paid to improving participation and compliance among the population at risk,incorporating advanced screening methods,improving management efficiency with digital tools,and introducing innovative payment methods to reduce economic burden.

Objective: To understand the health literacy and relevant factors of cancer prevention consciousness in Chinese urban residents from 2015 to 2017. Methods: A cross-sectional survey was conducted in 16 provinces covered by the Cancer Screening Program in Urban China from 2015 to 2017. A total of 32 257 local residents aged ≥18 years old who could understand the investigation procedure were included in the study by using the cluster sampling method and convenient sampling method. All local residents were categorized into four groups, which contained 15 524 community residents, 8 016 cancer risk assessment/screening population, 2 289 cancer patients and 6 428 occupational population, respectively. The self-designed questionnaire was used to collect the information of demographic characteristics and cancer prevention consciousness focusing on nine common risk factors, including smoking, alcohol, fiber food, food in hot temperature or pickled food, chewing betel nut, helicobacter pylori, moldy food, hepatitis B infection, estrogen, and exercise. The logistic regression model was adopted to identify the influencing factors. Results: The overall health literacy of the cancer prevention consciousness was 77.4% (24 980 participants), with 77.4% (12 018 participants), 79.9% (6 406 participants), 77.2% (1 766 participants) and 74.5% (4 709 participants) in each group (P<0.001). The correct response rates for nine risk factors ranged from 55.2% to 93.0%. The multivariate logistic regression analysis showed that compared with community residents, people with primary school level education or below, and the number of people living together in the family <3, the cancer risk assessment/screening intervention population, cancer patients, those with junior high school level educationor above and the number of people living in the family ≥3 had better health literacy of the cancer prevention consciousness (all P values <0.05). Compared with females, 39 years old and below, government-affiliated institutions or civil servants, from the eastern region, males, older than 40 years, company or enterprise employees, and from the middle or western region had worse health literacy of the cancer prevention consciousness (all P values <0.05). Conclusion The health literacy of the cancer prevention consciousness in Chinese urban residents should be improved. The cancer screening intervention, gender, age, education, occupation, the number of people co-living in the family, and residential region were associated with the health literacy of the cancer prevention consciousness.