CT Imaging Diagnosis in Ovarian Cancer

dc.contributor.authorNorqizilova.G.O
dc.contributor.authorIsmailova.M.Kh
dc.contributor.authorXayitboyeva.M.R
dc.contributor.authorAlisherova. M.A
dc.contributor.authorValiyev. Y.Y.
dc.contributor.authorTairova M.I.
dc.date.accessioned2026-01-02T11:33:00Z
dc.date.issued2023-05-13
dc.description.abstractOvarian cancer is a significant health concern, and early detection and accurate diagnosis are crucial for improving outcomes and survival rates. CT imaging is a widely used diagnostic tool in ovarian cancer, with the ability to detect lesions and evaluate disease extent. In this review essay, we explore the role of CT imaging in the diagnosis of ovarian cancer, including its benefits and limitations. We discuss the potential impact of CT imaging on patient care and highlight the importance of integrating this diagnostic tool into clinical practice. Our findings suggest that CT imaging can play a valuable role in the early detection and diagnosis of ovarian cancer, and we recommend further research to optimize its use in clinical practice.
dc.formatapplication/pdf
dc.identifier.urihttps://geniusjournals.org/index.php/emrp/article/view/4189
dc.identifier.urihttps://asianeducationindex.com/handle/123456789/77595
dc.language.isoeng
dc.publisherGenius Journals
dc.relationhttps://geniusjournals.org/index.php/emrp/article/view/4189/3558
dc.sourceEurasian Medical Research Periodical; Vol. 20 (2023): EMRP; 95-102
dc.source2795-7624
dc.subjectCT imaging
dc.subjectovarian cancer
dc.subjectDiagnosis
dc.titleCT Imaging Diagnosis in Ovarian Cancer
dc.typeinfo:eu-repo/semantics/article
dc.typeinfo:eu-repo/semantics/publishedVersion
dc.typePeer-reviewed Article

item.page.files

item.page.filesection.original.bundle

pagination.showing.labelpagination.showing.detail
loading.default
thumbnail.default.alt
item.page.filesection.name
norqizilovago_2023_ct_imaging_diagnosis_in_ovarian_cancer.pdf
item.page.filesection.size
466.71 KB
item.page.filesection.format
Adobe Portable Document Format

item.page.collections