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Prediction of intermediate and high risk factors based on MRI imaging radiomics before neoadjuvant therapy for cervical cancer

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成果类型:
会议论文
作者:
Zhou, Yimin;Wu, Rongrong;Zuo, Guoping;Bai, Penggang
通讯作者:
Zuo, Guoping(409882007@qq.com)
作者机构:
[Zhou, Yimin; Zuo, Guoping] School of Nuclear Science and Technology, University of South China, China
[Wu, Rongrong] Department of Radiation Oncology, Clinical Oncology School of Fujian Medical University, China
[Bai, Penggang] Department of Radiation Oncology, Fujian Cancer Hospital, China
语种:
英文
期刊:
ACM International Conference Proceeding Series
年:
2022
页码:
307-311
会议名称:
3rd International Symposium on Artificial Intelligence for Medical Sciences, ISAIMS 2022
会议时间:
October 13, 2022 - October 15, 2022
会议地点:
Amsterdam, Netherlands
机构署名:
本校为第一机构
院系归属:
核科学技术学院
摘要:
Objective: A fusion model based on axial LAVA+C sequence images and clinical characteristics on preoperative MRI before neoadjuvant therapy is discussed for identifying intermediate and high risk factors in cervical cancer patients. Methods: In a retrospective analysis of 145 cervical cancer patients treated at Fujian Cancer Hospital between January 2013 and July 2018, cases with more than two intermediate risk factors or more than one high-risk factor were classified as positive based on pathological findings, while cases with fewer than two i...

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