Clinical Implementation of Dual-Energy CT for Gastrointestinal Imaging

被引:44
|
作者
Mileto, Achille [1 ,2 ]
Ananthakrishnan, Lakshmi [3 ]
Morgan, Desiree E. [4 ]
Yeh, Benjamin M. [5 ]
Marin, Daniele [6 ]
Kambadakone, Avinash R. [7 ]
机构
[1] Univ Washington, Sch Med, Dept Radiol, Seattle, WA 98195 USA
[2] Mayo Clin, Dept Radiol, 200 First St SW, Rochester, MN 55905 USA
[3] UT Southwestern Med Ctr, Dept Radiol, Dallas, TX USA
[4] Univ Alabama Birmingham, Dept Radiol, Birmingham, AL USA
[5] Univ Calif San Francisco, Med Ctr, Dept Radiol & Biomed Imaging, San Francisco, CA USA
[6] Duke Univ, Dept Radiol, Durham, NC 27710 USA
[7] Massachusetts Gen Hosp, Dept Radiol, Div Abdominal Imaging, Boston, MA USA
关键词
bowel; dual-energy CT; gastrointestinal; liver; pancreas; HYPERVASCULAR LIVER-TUMORS; VIRTUAL NONENHANCED IMAGES; SPECTRAL MULTIDETECTOR CT; COMPUTED-TOMOGRAPHY; PANCREATIC ADENOCARCINOMA; MONOENERGETIC RECONSTRUCTION; INITIAL-EXPERIENCE; MATERIAL DENSITY; CONTRAST; DIAGNOSIS;
D O I
10.2214/AJR.20.25093
中图分类号
R8 [特种医学]; R445 [影像诊断学];
学科分类号
1002 ; 100207 ; 1009 ;
摘要
Dual-energy CT (DECT) overcomes several limitations of conventional single-energy CT (SECT) for the evaluation of gastrointestinal diseases. This article provides an overview of practical aspects of the DECT technology and acquisition protocols, reviews existing clinical applications, discusses current challenges, and describes future directions, with a focus on gastrointestinal imaging. A head-to-head comparison of technical specifications among DECT scanner implementations is provided. Energy-and material-specific DECT image reconstructions enable retrospective (i.e., after examination acquisition) image quality adjustments that are not possible using SECT. Such adjustments may, for example, correct insufficient contrast bolus or metal artifacts, thereby potentially avoiding patient recalls. A combination of low-energy monochromatic images, iodine maps, and virtual unenhanced images can be included in protocols to improve lesion detection and disease characterization. Relevant literature is reviewed regarding use of DECT for evaluation of the liver, gallbladder, pancreas, and bowel. Challenges involving cost, workflow, body habitus, and variability in DECT measurements are considered. Artificial intelligence and machine-learning image reconstruction algorithms, PACS integration, photon-counting hardware, and novel contrast agents are expected to expand the multienergy capability of DECT and further augment its value.
引用
收藏
页码:651 / 662
页数:12
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