F-18 FDG PET/CT 诊断肿瘤血栓的代谢比率的实用性。

Deepanksha Datta, Rajesh Kumar, Akhil Dhanesh Goel
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引用次数: 0

摘要

背景:本研究旨在预测 F-18 FDG PET/CT 诊断肿瘤血栓的代谢比值:本研究旨在预测 F-18 FDG PET/CT 诊断肿瘤血栓的代谢比率定量参数:这是印度焦特布尔全印度医学科学研究所核医学科的一项回顾性研究。研究组包括 2020 年 2 月至 2022 年 9 月期间在本部门接受 F-18 FDG PET/CT 或图像送审的恶性肿瘤患者。对照组为无肿瘤血栓影像学证据的恶性肿瘤患者。记录研究组肿瘤血栓、肝脏和降主动脉的代谢活性(SUVmax),以及对照组 IVC、肝脏和降主动脉的代谢活性(SUVmax)。使用接收器操作曲线比较研究组肿瘤血栓与肝脏(SUR L)和主动脉(SUR A)的代谢比率,以及对照组 IVC 与肝脏(SUR* L)和主动脉(SUR*A)的代谢比率:在筛选出的 2277 项研究中,有 12 项存在肿瘤血栓。最常见的原发恶性肿瘤部位和受累血管分别是肺和 IVC。SUR L、SUR A、SUR* L 和 SUR* A 的中位数(IQR)分别为 2.5 (3.25)、2.6 (6)、0.67 (0.18) 和 1 (0.17)。SUR L 和 SUR A 的 ROC 下面积分别为 0.983 [95% CI: 0.955-1.0] 和 0.958 [95% CI: 0.90-1.0]。SUR L的理想临界值为0.953(灵敏度为92.3%,特异性为98.0%),SUR A的理想临界值为1.42(灵敏度为84.6%,特异性为98.0%):肿瘤血栓与肝脏(SUR L)和主动脉(SUR A)的代谢比值具有良好的诊断性能,可用于非碘对比 CT 研究。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Utility of metabolic ratios in the diagnosis of tumor Thrombus on F-18 FDG PET/CT.

Background: This study aims to predict quantitative parameter in form of metabolic ratios to diagnose tumor thrombus on F-18 FDG PET/CT.

Methods: This is a retrospective study from Nuclear Medicine department at All India Institute of Medical Sciences, Jodhpur, India. Patients with malignancies who underwent F-18 FDG PET/CT in our department or images sent for review from February 2020 till September 2022 were screened for tumor thrombus that comprised study group. Control group had patients with malignancy and no imaging evidence of tumor thrombus. Metabolic activities (SUVmax) of tumor thrombus, liver and descending aorta in study group, and that of IVC, liver and descending aorta in control group were recorded. Metabolic ratios of tumor thrombus to liver (SUR L) and to aorta (SUR A) in study group, and IVC to liver (SUR* L) and to aorta (SUR*A) in control group were compared using receiver operator curves.

Results: Of 2277 studies screened, 12 had tumor thrombus. The most common primary malignant site and vessel involved were lung and IVC respectively. The median (IQR) SUR L, SUR A, SUR* L and SUR* A were 2.5 (3.25), 2.6  (6), 0.67 (0.18) and 1 (0.17) respectively. Area under ROC for SUR L and SUR A were 0.983 [95% CI: 0.955-1.0] and 0.958 [95% CI: 0.90-1.0] respectively. The ideal cut-off for SUR L was 0.953 (sensitivity 92.3%, specificity 98.0%) and for SUR A was 1.42 (sensitivity 84.6%, specificity 98.0%).

Conclusion: Metabolic ratios of tumor thrombus to liver (SUR L) and aorta (SUR A) have good diagnostic performance and can be useful in studies with non-iodinated contrast CT.

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