UNSTRUCTURED
As a diagnostic method with no radiation, high resolution of soft tissue, and different imaging methods, Magnetic Resonance Imaging (MRI) intelligent data acquisition is more and more widely used in the examination of abdominal, pelvic, and other organ lesions. In order to study the diagnostic effect of multi-mode magnetic resonance intelligent data acquisition on ovarian cancer and the ovarian cancer model modified based on p53-/-+Myc+ASAP1 gene, NSG mice were selected as experimental subjects in this study. 293FT cell lines packaging p53, Myc, and ASAP1(ArfGAP with SH3 domain, Ankyrin repeat and PH domain 1) recombinant lentivirus were inoculated into mouse ovarian epithelial cells to construct mouse ovarian epithelial cell tumor cell lines and their performance was analyzed. According to the different injection cell lines, they were divided into the experimental group and the control group. Tumor samples were collected and the mice were analyzed using immunofluorescence staining and MRI. The results showed that, in the detection of protein expression in genetically modified cell lines, for p53-/-+Myc+ASAP1 fully modified cell lines, the high expression of ASAP1 and Myc functional proteins was detected after the lentivirus containing p53-/-, ASAP1, and Myc were introduced into mouse ovarian epithelial cells, while the expression of p53 protein decreased significantly; after inoculation into mice, it was found that the expression of ASAP1 protein and Myc protein in the experimental group was significantly higher than that in the control group, while the expression of p53 protein in the experimental group was significantly lower than that in the control group, with significant statistical difference; further MRI diagnosis of two groups of mice showed that the ADC (Apparent dispersion coefficient) value of the experimental group was significantly higher than the control group, there were statistically significant differences. Therefore, it was found that p53 gene expression was down-regulated and Myc and ASAPl genes were overexpressed in the tumor tissues and tumor cells formed, and tumor formation differences between the two groups of mice could be obviously found after MRI intelligent data acquisition, which provided experimental basis for early diagnosis of breast cancer in the later clinical stage.
Application of Magnetic Resonance Image Intelligent Data Acquisition in Ovarian Cancer (Preprint)
