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.authorLiang, Bo
dc.contributor.authorHe, Han
dc.contributor.authorZeng, Lingyu
dc.contributor.authorPan, Min
dc.contributor.authorHuang, Tingting
dc.contributor.authorWang, Xinmin
dc.contributor.authorKabene, Stefane Mostefa
dc.contributor.authorArbab, Ahmed Mohamed Hamad
dc.date.accessioned2021-06-17T06:06:03Z
dc.date.available2021-06-17T06:06:03Z
dc.date.copyright2021
dc.date.issued2021-07
dc.descriptionThis article is licensed under Creative Commons License and full text is openly accessible in CUD Digital Repository. The version of the scholarly record of this article is published in Results in Physics (2021), accessible online through this link https://doi.org/10.1016/j.rinp.2021.104366en_US
dc.description.abstractThis 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.citationLiang, 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.2021.104366en_US
dc.identifier.issn22113797
dc.identifier.urihttps://doi.org/10.1016/j.rinp.2021.104366
dc.identifier.urihttp://hdl.handle.net/20.500.12519/391
dc.language.isoenen_US
dc.publisherElsevier B.V.en_US
dc.relationAuthors 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.ispartofseriesResults in Physics;Volume 26
dc.rightsCreative Commons CC-BY-NC-ND License
dc.rights.holderCopyright : © 2021 The Author(s)
dc.rights.urihttps://creativecommons.org/licenses/by-nc-nd/4.0/
dc.subjectDynamic enhanced magnetic resonance imagingen_US
dc.subjectExponential distribution mathematical modelen_US
dc.subjectHPV infectionen_US
dc.subjectOvarian epithelial canceren_US
dc.titleCorrelation between HPV infection and ovarian epithelial cancer diagnosed by Dynamic Contrast-enhanced magnetic resonance imaging information technology under exponential distribution mathematical modelen_US
dc.typeArticleen_US

Files

Original bundle
Now showing 1 - 1 of 1
Loading...
Thumbnail Image
Name:
Access Instruction 391.pdf
Size:
57.3 KB
Format:
Adobe Portable Document Format
Description: