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Early discovery and accurate staging, as well as early recurrence detection and correct assessment of therapeutic response, are important factors for patient management and survival. For detection and characterization, as well as staging and restaging of gynecologic conditions most commonly encountered, that is, cervical, endometrial, and ovarian malignancy, the usage of ultrasound, analysis of images obtained with computed tomography (CT), magnetic resonance imaging, and positron emission tomography\u2013CT has critical roles. Recently, artificial intelligence used to extract quantitative information from radiological imaging has become an important factor for treatment decisions. The present review article provides important information related to recent advances in gynecologic malignancy imaging options, with a focus on findings related to cervical, endometrial, and ovarian neoplasms.<\/jats:p>","DOI":"10.1111\/jog.70025","type":"journal-article","created":{"date-parts":[[2025,8,1]],"date-time":"2025-08-01T01:53:42Z","timestamp":1754013222000},"update-policy":"https:\/\/doi.org\/10.1002\/crossmark_policy","source":"Crossref","is-referenced-by-count":3,"title":["Updates and advances for gynecologic imaging"],"prefix":"10.1111","volume":"51","author":[{"ORCID":"https:\/\/orcid.org\/0000-0002-9553-996X","authenticated-orcid":false,"given":"Kazuhiro","family":"Kitajima","sequence":"first","affiliation":[{"name":"Department of Radiology Hyogo Medical University  Nishinomiya Hyogo 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