Kazuhiro Kitajima

Updates and advances for gynecologic imaging

Abstract A gynecologic malignancy is one of the most common cancers affecting females and is responsible for significant rates of morbidity and mortality throughout the world. 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–CT 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.