Radiology Department, Università Politecnica delle Marche, Via Conca 71, 60020, Ancona, Italy.
Rheumatological Clinic, Università Politecnica delle Marche, Jesi, Ancona, Italy.
Radiol Med. 2019 Nov;124(11):1175-1183. doi: 10.1007/s11547-019-01015-x. Epub 2019 Mar 4.
With the assistance of innovations in scanner engineering and software design, dual-energy computed tomography (DECT) is an advanced imaging method that has been developed over the last decade. With its unique ability to differentiate materials by their atomic number, DECT has opened new perspectives in imaging. The principal advantages of DECT over conventional CT in the musculoskeletal setting relate to the additional information provided regarding tissue composition, artifact reduction and image optimization. In musculoskeletal imaging, uric acid material decomposition images can help identify articular deposition of uric acid crystals (in addition to the detection of uric acid renal stones). Material separation can also help detect bone marrow edema on CT in the case of trauma, algoneurodystrophy, inflammation (osteitis) or malignant bone marrow infiltrates, such as metastases. DECT also offers means to reduce the radiation exposure of patients by replacing multiphase exams with more specific single acquisitions. The first part of this article reviews the basic principles and technical aspects of DECT. The second part focuses on applications of DECT to musculoskeletal imaging including that of gout and other crystal-induced arthropathies, virtual non-calcium images for the study of bone marrow lesions, the study of collagenous structures, as well as the detection of hemosiderin and metal particles.
在扫描仪工程和软件设计创新的辅助下,双能计算机断层扫描(DECT)是过去十年中发展起来的一种先进的成像方法。DECT 具有根据原子序数区分材料的独特能力,为成像开辟了新的视角。DECT 在肌肉骨骼成像方面相对于常规 CT 的主要优势与提供的有关组织成分、伪影减少和图像优化的额外信息有关。在肌肉骨骼成像中,尿酸物质分解图像有助于识别关节尿酸晶体沉积(除了检测尿酸肾结石)。物质分离还可以帮助检测创伤、神经肌肉营养不良、炎症(骨炎)或恶性骨髓浸润(如转移)情况下 CT 上的骨髓水肿。DECT 还提供了通过用更具体的单次采集代替多相检查来降低患者辐射暴露的方法。本文的第一部分回顾了 DECT 的基本原理和技术方面。第二部分重点介绍了 DECT 在肌肉骨骼成像中的应用,包括痛风和其他晶体诱导性关节病、用于研究骨髓病变的虚拟非钙图像、胶原结构的研究以及含铁血黄素和金属颗粒的检测。