Correlation between HPV infection and ovarian epithelial cancer diagnosed by Dynamic Contrast-enhanced magnetic resonance imaging information technology under exponential distribution mathematical model

dc.contributor.author Liang, Bo
dc.contributor.author He, Han
dc.contributor.author Zeng, Lingyu
dc.contributor.author Pan, Min
dc.contributor.author Huang, Tingting
dc.contributor.author Wang, Xinmin
dc.contributor.author Kabene, Stefane Mostefa
dc.contributor.author Arbab, Ahmed Mohamed Hamad
dc.date.accessioned 2021-06-17T06:06:03Z
dc.date.available 2021-06-17T06:06:03Z
dc.date.copyright 2021
dc.date.issued 2021-07
dc.description This article is not available at CUD collection. The version of scholarly record of this article is published in Results in Physics (2021), available online at: https://doi.org/10.1016/j.rinp.2021.104366 en_US
dc.description.abstract This research aims to analyze the correlation between human papillomavirus (HPV) infection and ovarian epithelial cancer based on exponential distribution mathematical model, so as to provide an experimental basis for the early diagnosis of ovarian epithelial cancer by magnetic resonance imaging (MRI) in the future. In this study, 124 patients with ovarian epithelial cancer tissues pathologically confirmed in our hospital from March 31, 2017 to February 20, 2019 were selected as the experimental group, and 64 patients with normal ovarian tissues were selected as the control group, and the positive rate of HPV infection was detected by the computer cell test (CCT) system. Dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) was constructed and adopted to analyze the scanning images. The correlation between HPV infection and pathological type, clinical stage, tissue differentiation degree, and CA125 in serum was studied by exponential distribution mathematical model. The results showed that the positive rate of HPV infection in the ovarian tissues of the experimental group was significantly higher than that of the control group (P < 0.05). Highly differentiated patients accounted for 25.97%, moderately differentiated patients accounted for 43.81%, and lowly differentiated patients accounted for 30.22%. Patients with clinical stage I-II accounted for 24.72%, patients with stage III accounted for 49.11%, and patients with stage IV accounted for 26.17%. HPV infection was significantly correlated with clinical stage III and moderate tissue differentiation by MRI of patients (P < 0.05), and extremely significantly correlated with clinical stage IV and low tissue differentiation by MRI (P < 0.001). The above findings show that the information technology of dynamic contrast-enhanced magnetic resonance imaging can clearly display the lesion metastasis of ovarian epithelial cancer patients with high soft tissue resolution. © 2021 The Author(s) en_US
dc.identifier.citation Liang, B., He, H., Zeng, L., Pan, M., Huang, T., Wang, X., Kabene, S. M., & Arbab, A. M. H. (2021). Correlation Between HPV Infection and Ovarian Epithelial Cancer Diagnosed by Dynamic Contrast-enhanced Magnetic Resonance Imaging Information Technology under Exponential Distribution Mathematical Model. Results in Physics, 26, 104366. https://doi.org/10.1016/j.rinp.2021.104366 en_US
dc.identifier.issn 22113797
dc.identifier.uri https://doi.org/10.1016/j.rinp.2021.104366
dc.identifier.uri http://hdl.handle.net/20.500.12519/391
dc.language.iso en en_US
dc.publisher Elsevier B.V. en_US
dc.relation Authors Affiliations : Liang, B., Department of MRI, Maoming People's Hospital, No.101 Weimin Road, Maoming City, Guangdong Province 525000, China; He, H., Department of MRI, Maoming People's Hospital, No.101 Weimin Road, Maoming City, Guangdong Province 525000, China; Zeng, L., Department of MRI, Maoming People's Hospital, No.101 Weimin Road, Maoming City, Guangdong Province 525000, China; Pan, M., Department of MRI, Maoming People's Hospital, No.101 Weimin Road, Maoming City, Guangdong Province 525000, China; Huang, T., Department of MRI, Maoming People's Hospital, No.101 Weimin Road, Maoming City, Guangdong Province 525000, China; Wang, X., Department of MRI, Maoming People's Hospital, No.101 Weimin Road, Maoming City, Guangdong Province 525000, China; Kabene, S.M., Department of Social Sciences/Clinical Psychology, Faculty of Communication, Arts and Sciences, Canadian University Dubai, Dubai, United Arab Emirates; Arbab, A.M.H., Applied Science University, Al Eker, Bahrain
dc.relation.ispartofseries Results in Physics;Volume 26
dc.rights Creative Commons CC-BY-NC-ND License
dc.rights.holder Copyright : © 2021 The Author(s)
dc.rights.uri https://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subject Dynamic enhanced magnetic resonance imaging en_US
dc.subject Exponential distribution mathematical model en_US
dc.subject HPV infection en_US
dc.subject Ovarian epithelial cancer en_US
dc.title Correlation between HPV infection and ovarian epithelial cancer diagnosed by Dynamic Contrast-enhanced magnetic resonance imaging information technology under exponential distribution mathematical model en_US
dc.type Article en_US
Files
License bundle
Now showing 1 - 1 of 1
No Thumbnail Available
Name:
license.txt
Size:
2.01 KB
Format:
Item-specific license agreed upon to submission
Description: