Objective:In this study, the collected mosquito samples were subjected to viral isolation to identify the species and branch characteristics of arboviruses in five regions of Shanxi Province.Methods:Eight arboviruses in mosquito samples collected from July to September 2020 were detected by real-time fluorescent quantitative PCR, and virus isolation was carried out through cell culture. Virus isolates were identified and analyzed by molecular biology and bioinformatics method.Results:We detected 1 batch of positive samples of Japanese encephalitis virus, 2 batches of positive samples of Culex flavivirus and 8 batches of positive samples of Nam Dinh virus among 121 batches of mosquito samples. Seven virus isolates were isolated, numbered: SX-YJ-Cxp-4、SX-YJ-Ars-2、SX-YJ-Cxp-1、SX-LY-Cxp-10、SX-GP-Ars-5、SX-GP-Cxp-2、SX-GP-Cxp-4, all of which were identified as Nam Dinh virus, and the whole genome sequencing was performed on one of them, and the result showed that Shanxi Nam Dinh virus isolate and Yunnan Nam Dinh virus isolate belonged to the same evolutionary branch.Conclusions:Nam Dinh virus was isolated and identified on the specimen from Shanxi province for the first time.

Objective:To explore the differences of the diagnostic performance between the most recent 2018 version of liver imaging reporting and data system (LI-RADS v2018) and 2017 version (LI-RADS v2017) based on gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA) enhanced MRI to diagnose hepatocellular carcinoma (HCC) in high-risk patients.Methods:The clinical data and imaging findings of 237 patients in high-risk of HCC who underwent Gd-EOB-DTPA enhanced MRI and obtained postoperative or biopsy pathological results within one month from June 2016 to December 2019 in Tianjin Third Central Hospital were collected retrospectively. A total of 282 observations were obtained as study objects. Two independent radiologists blindly reviewed the preoperative MRI of all patients. The observations were categorized according to LI-RADS v2018 and v2017 respectively. The inter-observer agreement of the categorization between the two radiologists was tested by kappa analysis. With the LR-5 and LR-4+5 as the diagnosis of HCC, the sensitivity, specificity, accuracy, and Youden index of the LI-RADS v2017 and LI-RADS v2018 were evaluated with postoperative histopathological results as references. The McNemar test was used to compare the diagnostic performance between the two versions.Results:The two physicians had good consistency in the categorization of observations, with kappa values between 0.536 and 0.793. Using LR-5 as the criterion for HCC diagnosis, the Youden index (0.687) of LI-RADS v2018 was higher than that of v2017 (0.612). The sensitivity [80.6% (166/206)] and accuracy [82.6% (233/282)] were both higher than those of LI-RADS v2017 [70.4% (145/206) and 75.9%(214/282)] (χ2=19.048, 14.087, both P<0.001). The specificity was slightly lower [88.2%(67/76) and 90.8%(69/76), respectively], but there was no statistical difference (χ2=0.500, P=0.500). With LR-4+5 as the diagnosis of HCC, the diagnostic performance of the two versions was the same. The sensitivity [91.3% (188/206)] and accuracy [87.6% (247/282)] were higher, and the specificity [77.6% (59/76)] were lower than the LR-5 standard of LI-RADS v2018 (χ2=20.045, P<0.001; χ2=5.633, P=0.018; χ2=16.056, P<0.001), and the Youden index (0.689) was also higher than the LR-5 standard of LI-RADS v2018. Conclusions:Based on Gd-EOB-DTPA enhanced MRI, the LI-RADS v2018 has higher sensitivity and accuracy in diagnosing HCC than v2017. Correct use can provide more objective diagnostic evidence for the clinic.