RESUMO
Background: Early gastric cancer (EGC) has a high survival rate, but it is difficult to diagnosis. Recently, artificial intelligence (AI) based on deep convolutional neural network (DCNN) has made significant progress in the field of gastroenterology. The purpose of this study was to establish a DCNN assist system to improve the detection of EGC. Methods: 3400 EGC and 8600 benign images were collected to train the DCNN to detect EGC. Subsequently, its diagnostic ability was compared to that of endoscopists using an independent internal test set (ITS, including 1289 images) and an external test set (ETS, including 542 images) come from three digestive center. Results: The diagnostic time of DCNN and endoscopists were 0.028s, 8.05 ± 0.21s, 7.69 ± 0.25s in ITS, and 0.028s, 7.98 ± 0.19s, 7.50 ± 0.23s in ETS, respectively. In ITS, the diagnostic sensitivity and accuracy of DCNN are 88.08%(95% confidence interval,95%CI,85.24%-90.44%), 88.60% (95%CI,86.74%-90.22%), respectively. In ETS, the diagnostic sensitivity and accuracy are 92.08% (95%CI, 87.91%- 94.94%),92.07%(95%CI, 89.46%-94.08%),respectively. DCNN outperformed all endoscopists in ETS, and had a significantly higher sensitivity than the junior endoscopists(JE)(by18.54% (95%CI, 15.64%-21.84%) in ITS, also higher than JE (by21.67%,95%CI, 16.90%-27.32%) and senior endoscopists (SE) (by2.08%, 95%CI, 0.75%-4.92%)in ETS. The accuracy of DCNN model was higher (by10.47%,95%CI, 8.91%-12.27%) than that of JE in ITS, and also higher (by14.58%,95%CI, 11.84%-17.81%; by 1.94%,95%CI,1.25%-2.96%, respectively) than JE and SE in ETS. Conclusion: The DCNN can detected more EGC images in a shorter time than the endoscopists. It will become an effective tool to assist in the detection of EGC in the near future.
RESUMO
OBJECTIVE: To investigated the anti-tumor in vivo effect and mechanism of the acid RNA protein complex (FA-2-b-ß) of Agaricus blazei Murrill extract. METHODS: CCK-8 method was used to detected the inhibitory effect of FA-2-b-ß on proliferation of primary CML cells from newly diagnosed CML patients, the CML mouse model was established by trail-venous injection of primary CML cells, and the survival time, blood cell count and body weight were observed, the immunoflouresence and immunehistochemistry analysis, RT-qPCR, Western bolt were used to detemine the expression of caspase-3 signal pathway-related apoptosis genes and proteins. RESULTS: The experiments in vitro showed that the proliferative inhibitory rate in drug-treated group increased with concentration- and time-dependent manner (r24=0.9092, r48=0.9442, r72=0.9546), the inter group comparison showed the statistical difference of results. The experiments in vitro showed that the survival time prolonged, blood cell count increased and body weight recovered in FA-2-b-ß-treated group and imatinib-treated group, despite the WBC count is still high. The RT-qPCR and Western blot showed that the expression of BAX and caspase-3 gene and protein were up-regulated, the expression of BCL-2, cytochroime C, caspase-8, caspase-9 and BCL-ABL gene and protein were down-regulated. CONCLUSION: The FA-2-b-ß can induce apoptosis of primary CML cells and prolong the survival time of CML model mouse, which may be related with the caspase-3 signal pathway related genes and proteins.
