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MRI鉴别诊断卵巢颗粒细胞瘤与卵泡膜纤维瘤

MRI for differential diagnosis of ovarian granulosa cell tumor and ovarian thecoma-fibroma
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摘要 目的观察MRI鉴别诊断卵巢颗粒细胞瘤(OGCT)与卵泡膜纤维瘤(OTF)的价值。方法回顾性分析37例OGCT(OGCT组)与74例OTF(OTF组)女性,比较其MRI参数;行多因素logistic回归分析,观察各参数单独及联合鉴别诊断OGCT与OTF的效能。结果组间病灶囊实性分型,囊变程度、囊区最大径,实性部分T2WI信号、强化程度、表观弥散系数(ADC),以及是否合并蜂窝征/奶酪征、有无肿瘤内血管及出血差异均有统计学意义(P均<0.05)。其中,囊变程度、ADC及是否合并蜂窝征/奶酪征为MRI鉴别OGCT与OTF的影响因素,其鉴别OGCT与OTF的曲线下面积(AUC)分别为0.834、0.868及0.744,而三者联合的AUC为0.934,大于其单一AUC(P均<0.05)。结论病灶囊变程度、实性部分ADC及是否合并蜂窝征/奶酪征等MRI特征有助于鉴别OGCT与OTF。 Objective To observe the value of MRI for differential diagnosis of ovarian granulosa cell tumor(OGCT)and ovarian thecoma-fibroma(OTF).Methods Data of 37 females with OGCT(OGCT group)and 74 with OTF(OTF group)were retrospectively analyzed.MRI parameters were compared between groups.Multiple logistic regression analysis was performed,and the efficacy of each parameter alone and their combination for distinguishing OGCT and OTF were observed.Results Significant differences of cystic-solid classification,degree of cystic changes,the maximum diameter of cyst area of lesions,T2WI signal,enhancement degree and apparent diffusion coefficient(ADC)of the solid part of lesions,presence of honeycomb sign/cheese sign,presence of tumor blood vessels and bleeding were found between groups(all P<0.05).Degree of cystic changes,ADC and presence of honeycomb sign/cheese sign were impact factors of MRI for distinguishing OGCT and OTF.The area under the curve(AUC)of the above three for distinguishing OGCT and OTF was 0.834,0.868 and 0.744,respectively,and of the combination was 0.934,greater than any alone(all P<0.05).Conclusion MRI features such as degree of cystic changes,ADC and presence of honeycomb sign/cheese sign were helpful for distinguishing OGCT and OTF.
作者 张新露 唐文伟 顾海磊 田忠甫 姚尧 黄泽波 王莉莉 ZHANG Xinlu;TANG Wenwei;GU Hailei;TIAN Zhongfu;YAO Yao;HUANG Zebo;WANG Lili(Department of Radiology,Women’s Hospital of Nanjing Medical University,Nanjing 210004,China)
出处 《中国介入影像与治疗学》 北大核心 2024年第5期289-293,共5页 Chinese Journal of Interventional Imaging and Therapy
基金 2023年度南京市卫生科技发展专项资金项目(YKK23150)。
关键词 颗粒细胞瘤 肿瘤 纤维组织 性索-性腺间质肿瘤 磁共振成像 granulosa cell tumor neoplasms,fibrous tissue sex cord-gonadal stromal tumors magnetic resonance imaging
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