{"title":"妇科影像学的最新进展","authors":"Kazuhiro Kitajima","doi":"10.1111/jog.70025","DOIUrl":null,"url":null,"abstract":"<p>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.</p>","PeriodicalId":16593,"journal":{"name":"Journal of Obstetrics and Gynaecology Research","volume":"51 8","pages":""},"PeriodicalIF":1.5000,"publicationDate":"2025-07-31","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jog.70025","citationCount":"0","resultStr":"{\"title\":\"Updates and advances for gynecologic imaging\",\"authors\":\"Kazuhiro Kitajima\",\"doi\":\"10.1111/jog.70025\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p>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.</p>\",\"PeriodicalId\":16593,\"journal\":{\"name\":\"Journal of Obstetrics and Gynaecology Research\",\"volume\":\"51 8\",\"pages\":\"\"},\"PeriodicalIF\":1.5000,\"publicationDate\":\"2025-07-31\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://onlinelibrary.wiley.com/doi/epdf/10.1111/jog.70025\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Journal of Obstetrics and Gynaecology Research\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://onlinelibrary.wiley.com/doi/ftr/10.1111/jog.70025\",\"RegionNum\":4,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q3\",\"JCRName\":\"OBSTETRICS & GYNECOLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Obstetrics and Gynaecology Research","FirstCategoryId":"3","ListUrlMain":"https://onlinelibrary.wiley.com/doi/ftr/10.1111/jog.70025","RegionNum":4,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"OBSTETRICS & GYNECOLOGY","Score":null,"Total":0}
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.
期刊介绍:
The Journal of Obstetrics and Gynaecology Research is the official Journal of the Asia and Oceania Federation of Obstetrics and Gynecology and of the Japan Society of Obstetrics and Gynecology, and aims to provide a medium for the publication of articles in the fields of obstetrics and gynecology.
The Journal publishes original research articles, case reports, review articles and letters to the editor. The Journal will give publication priority to original research articles over case reports. Accepted papers become the exclusive licence of the Journal. Manuscripts are peer reviewed by at least two referees and/or Associate Editors expert in the field of the submitted paper.