Department of Radiology and Research Institute of Radiological Science, Yonsei University College of Medicine, Severance Hospital, Seoul, Republic of Korea.
Sci Rep. 2018 Oct 18;8(1):15334. doi: 10.1038/s41598-018-33635-0.
It is critical to distinguish between cardiac tumors and thrombi because they require different treatment strategies. Although accurate differentiation of these cardiac masses can be challenging, computed tomography (CT) and magnetic resonance imaging (MRI) are promising tools to improve their diagnosis. This study aimed to assess the diagnostic value of a volume-based quantification strategy using dual-energy CT to differentiate between cardiac tumors and thrombi. We prospectively enrolled 41 patients who had a cardiac mass. All patients underwent electrocardiography gated dual-energy CT. Among them, 28 patients underwent late gadolinium enhancement cardiac MRI. For quantitative analysis, the following parameters of the entire cardiac masses were measured: CT attenuation values in Hounsfield units (HU), iodine concentration (mg/ml), and signal intensity (SI) ratio. A mixed effects model was used to evaluate the significance of differences in mean CT attenuation, mean iodine concentration, and SI ratios between the cardiac tumor and thrombus groups. Diagnostic performance of each parameter was evaluated by constructing a receiver operating characteristics curve. A total of 24 cardiac tumors and 19 cardiac thrombi were analyzed. The mean iodine concentration was significantly higher in tumors than in thrombi (tumors: 2.98 ± 0.23; thrombi: 1.79 ± 0.26, p = 0.002). The diagnostic performance of iodine concentration was better than that of post-contrast HU (area under the curve [AUC]: 0.77 vs. 0.51; p < 0.001), and worse than that of SI ratio (AUC: 0.89; p = 0.04) for differentiation of cardiac tumors and thrombi. Dual-energy CT using volume-based iodine measurements can differentiate between cardiac tumors and thrombi.
区分心脏肿瘤和血栓至关重要,因为它们需要不同的治疗策略。尽管准确区分这些心脏肿块具有挑战性,但计算机断层扫描(CT)和磁共振成像(MRI)是提高其诊断的有前途的工具。本研究旨在评估基于容积的双能 CT 定量分析策略在区分心脏肿瘤和血栓中的诊断价值。我们前瞻性地招募了 41 名患有心脏肿块的患者。所有患者均接受心电图门控双能 CT 检查。其中,28 名患者接受了钆延迟增强心脏 MRI 检查。进行定量分析时,测量了整个心脏肿块的以下参数:CT 衰减值(HU)、碘浓度(mg/ml)和信号强度(SI)比值。使用混合效应模型评估心脏肿瘤组和血栓组之间平均 CT 衰减值、平均碘浓度和 SI 比值差异的显著性。通过构建受试者工作特征曲线评估每个参数的诊断性能。共分析了 24 个心脏肿瘤和 19 个心脏血栓。肿瘤的平均碘浓度明显高于血栓(肿瘤:2.98 ± 0.23;血栓:1.79 ± 0.26,p = 0.002)。碘浓度的诊断性能优于对比后 HU(曲线下面积 [AUC]:0.77 比 0.51;p < 0.001),而 SI 比值(AUC:0.89;p = 0.04)的诊断性能较差,可用于区分心脏肿瘤和血栓。基于容积的碘测量的双能 CT 可区分心脏肿瘤和血栓。