摘要
子宫肉瘤(uterine sarcomas,US)是女性生殖系统恶性程度较高的间质性肿瘤,发病率低,预后差。随着微创、无创治疗及精准医学的发展,术前准确识别US将有助于临床制订个性化治疗方案。本文将对MRI常规序列、功能成像技术以及基于MRI的人工智能分析在US诊断方面的研究进展进行综述。旨在帮助临床及影像科医生了解US影像诊断相关的研究现状,为实现精准医疗奠定基础。
Uterine sarcomas(US)are highly malignant mesenchymal tumors of the female reproductive system with low incidence and poor prognosis.With the development of minimally invasive and noninvasive treatments and precision medicine,accurate preoperative identification of US will be helpful for the clinical development of personalized treatment plans.In this paper,we will review the research progress of MRI conventional sequences,functional imaging techniques,and MRI-based artificial intelligence analysis in US diagnosis.It aims to help clinicians and imaging physicians to understand the current research status related to US diagnostic imaging and lay the foundation for realizing precision medicine.
作者
李琛蓉
毕国力
毕秋
刘秀兰
张应从
王先虹
成长鑫
LI Chenrong;BI Guoli;BI Qiu;LIU Xiulan;ZHANG Yingcong;WANG Xianhong;CHENG Changxin(College of Medicine,Kunming University of Science and Technology,Kunming 650000,China;Department of MRI,the First People's Hospital of Yunnan Province(the Affiliated Hospital of Kunming University of Science and Technology),Kunming 650032,China)
出处
《磁共振成像》
CAS
CSCD
北大核心
2024年第9期218-223,共6页
Chinese Journal of Magnetic Resonance Imaging
基金
昆明理工大学医学联合专项(编号:KUST-KH2022027Y)
云南省科技厅科技计划项目(编号:202301AY070001-084)。
关键词
子宫肉瘤
磁共振成像
功能磁共振成像
人工智能
uterine sarcomas
magnetic resonance imaging
functional magnetic resonance imaging
artificial intelligence
作者简介
通信作者:毕国力,E-mail:guolibi76@163.com。
