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18F-FDG PET/CT诊断肾细胞癌合并静脉瘤栓

18F-FDG PET/CT in diagnosis of renal cell carcinoma with venous tumor thrombosis

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【作者】 祝安惠侯小艳张卫方张燕燕

【Author】 ZHU Anhui;HOU Xiaoyan;ZHANG Weifang;ZHANG Yanyan;Department of Nuclear Medicine, Peking University Third Hospital;

【通讯作者】 张卫方;

【机构】 北京大学第三医院核医学科

【摘要】 目的探讨PET/CT诊断肾细胞癌(RCC)合并静脉瘤栓的价值。方法回顾性分析27例肾癌合并静脉瘤栓患者的PET/CT资料。将PET/CT瘤栓分级与临床分级进行对照,根据病理结果将患者分为瘤栓侵犯静脉壁组和未侵犯静脉壁组,分析2组原发肿瘤SUVmax、瘤栓SUVmax及下腔静脉最大径的差异。结果 PET/CT检出瘤栓27例,瘤栓检出率100%(27/27),静脉瘤栓SUVmax平均6.98±5.50;PET/CT正确分级26例(26/27,96.30%)。8例合并下腔静脉血栓,PET/CT诊断准确率87.50%(7/8),静脉血栓平均SUVmax为1.30±0.28。瘤栓SUVmax明显高于血栓(P<0.001)。2组肿瘤原发灶SUVmax、瘤栓SUVmax及下腔静脉最大径差异均无统计学意义(P均>0.05)。结论 PET/CT对RCC合并静脉瘤栓及血栓具有较高的检测准确率,瘤栓分级准确率较高,但评估瘤栓是否侵犯静脉壁的能力有限。

【Abstract】 Objective To explore the diagnosis value of 18F-FDG PET/CT for renal cell carcinoma(RCC) with venous tumor thrombosis(VTT). Methods PET/CT data of 27 patients with pathologically confirmed RCC with VTT were analyzed retrospectively. PET/CT grading was compared with clinical grading for classification of VTT. According to pathological findings, the patients were divided into venous wall invasion group and venous wall noninvasion group. SUVmax of primary tumor, of VTT and inferior vena cava diameter were compared between two groups. Results The average SUVmax of VTT was 6.98±5.50 in 27 cases with 100%(27/27) detection rate for VTT. Correct classification of VTT was performed in 26 cases with PET/CT, the accuracy rate was 96.30%(26/27). The average SUVmax of bland thrombosis(BT) was 1.30±0.28 in 8 cases, and the diagnostic accuracy was 87.50%(7/8). SUVmax of VTT was significantly higher than that of BT(P<0.001). There was no significant difference in SUVmax of primary tumor, SUVmax of VTT nor inferior vena cava diameter between 2 groups(all P>0.05). Conclusion PET/CT has high detection accuracy for RCC with VTT and BT, also for tumor thrombus classification, but has limited ability to evaluate vein wall tumor invading.

【基金】 2016年国家科技部数字化诊疗装备研究试点专项(2016YFC0104005)
  • 【文献出处】 中国医学影像技术 ,Chinese Journal of Medical Imaging Technology , 编辑部邮箱 ,2019年10期
  • 【分类号】R737.11;R730.44
  • 【被引频次】1
  • 【下载频次】71
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