Oncologic Applications of Dual-Energy CT in the Abdomen
Oncologic Applications of Dual-Energy CT in the Abdomen
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DOI：
10.1148/rg.343135041
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发表时间：
2014-05-01
期刊：
影响因子：
5.5
通讯作者：
Sahani, Dushyant V.
中科院分区：
文献类型：
--
作者：
Agrawal, Mukta D.;Pinho, Daniella F.;Sahani, Dushyant V.
双能计算机断层扫描 (DECT) 技术提供了增强的功能，可能有利于腹部肿瘤成像。通过使用两种不同的能量，双能 CT 可以根据特定材料的能量相关衰减曲线进行材料分解。虽然双能 CT 的图像采集与单能 CT 相似，但综合后处理不仅能够生成与单能 CT (SECT) 图像相似的图像，还能够生成各种其他图像，例如虚拟未增强 (VUE)、虚拟单色 (VMC) 和特定材料的碘图像。低能量 VMC 图像和材料特异性碘图像上碘的显着性增加可能有助于肿瘤的检测和表征。使用所需能量水平 (40-140 keV) 的 VMC 图像可以改善病变与背景的对比度以及用于术前计划的血管成像的质量。材料特异性碘图像能够区分低密度肿瘤和低密度或高密度囊肿，并有助于检测等密度肿瘤，例如胰腺肿块和腹膜疾病，从而确定成像引导治疗的肿瘤靶点。此外，定量碘图谱可以作为监测治疗效果的替代生物标志物。双能 CT 是一种创新的成像技术，可增强 CT 评估肿瘤患者的能力。 (C) 北美放射学会 2014
Dual-energy computed tomographic (DECT) technology offers enhanced capabilities that may benefit oncologic imaging in the abdomen. By using two different energies, dual-energy CT allows material decomposition on the basis of energy-dependent attenuation profiles of specific materials. Although image acquisition with dual-energy CT is similar to that with single-energy CT, comprehensive postprocessing is able to generate not only images that are similar to single-energy CT (SECT) images, but a variety of other images, such as virtual unenhanced (VUE), virtual monochromatic (VMC), and material-specific iodine images. An increase in the conspicuity of iodine on low-energy VMC images and material-specific iodine images may aid detection and characterization of tumors. Use of VMC images of a desired energy level (40-140 keV) improves lesion-to-background contrast and the quality of vascular imaging for preoperative planning. Material-specific iodine images enable differentiation of hypoattenuating tumors from hypo-or hyperattenuating cysts and facilitate detection of isoattenuating tumors, such as pancreatic masses and peritoneal disease, thereby defining tumor targets for imaging-guided therapy. Moreover, quantitative iodine mapping may serve as a surrogate biomarker for monitoring effects of the treatment. Dual-energy CT is an innovative imaging technique that enhances the capabilities of CT in evaluating oncology patients. (C) RSNA 2014