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作 者:徐倩倩 何爱琴[1] 刘雅红 XU Qian-qian;HE Ai-qin;LIU Ya-hong(Department of Oncology and Gynecology,Affiliated Cancer Hospital of Nantong University,Nantong 226000,Jiangsu Province,China;Department of Gynecology,The First Affiliated Hospital of Nanjing Medical University,Nanjing 210009,Jiangsu Province,China)
机构地区:[1]南通大学附属肿瘤医院肿瘤妇科,江苏南通226000 [2]南京医科大学第一附属医院妇科,江苏南京210009
出 处:《中国CT和MRI杂志》2025年第1期140-142,共3页Chinese Journal of CT and MRI
基 金:国家自然科学基金面上项目(82373387);2021年度江苏省妇幼健康科研项目(F202132)。
摘 要:目的 探讨使用常规基线多模式磁共振成像(MRI)预测铂敏感性,并在放射组学框架中建立临床数据。方法 评估2020年4月至2024年4月间接受多模式MRI和常规实验室检查的96例卵巢癌患者,手动识别感兴趣区域提取293个放射组学特征,建立预测模型。通过将选定的放射学特征与四个已建立的临床因素相结合,建立了第二个预测模型:年龄、疾病分期、初始肿瘤标志物水平和疗程。结果 放射组学模型使用一些与异质性相关的放射组学特征预测铂敏感性,AUC为0.65。第二个组合模型的AUC为0.77,证实了放射组学模型除了使用已建立的临床因素的模型外,还具有递增的益处。结论 放射组学-临床数据联合模型可以有效地预测晚期卵巢癌患者对铂的敏感性。Objective To predict platinum sensitivity using routine baseline multimodal magnetic resonance imaging(MRI)and to esta blish clinical data in a radiomics framework.Methods 96 patients with ovarian cancer who underwent multimodal MRI and routine laboratory examination between April 2020 and April 2024 were evaluated,and 293 radiomic features were extracted by manually identifying areas of interest to establish predictive models.A second predictive model was created by combining selected radiological featu res with four esta blished clinical factors:age,disease stage,initial tumor marker level,and course of treatment.Results The radiomic model used some radiomic features associated with heterogeneity to predict platinum sensitivity,with an AUC of 0.65.The second combination model had an AUC of 0.77,confirming that the radiomic model had incremental benefits in addition to those using esta blished clinical fa ctors.Conclusion The com bined ra diomics-clinical data model ca n effectively predict platinum sensitivity in patients with adva nced ova rian cancer.
分 类 号:R445.2[医药卫生—影像医学与核医学]
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