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双能计算机断层扫描下腹部组织的光谱特性及造影剂的影响。

Spectral Properties of Abdominal Tissues on Dual-energy Computed Tomography and the Effects of Contrast Agent.

作者信息

Kreul Diana A, Kubik-Huch Rahel A, Froehlich John, Thali Michael J, Niemann Tilo

机构信息

Institute of Radiology, Kantonsspital Baden, Baden, Switzerland.

Institute of Forensic Medicine, Zürich, Switzerland.

出版信息

In Vivo. 2021 Nov-Dec;35(6):3277-3287. doi: 10.21873/invivo.12623.

Abstract

BACKGROUND/AIM: Multiparametric dual energy comptuted tomography (CT) imaging allows for multidimensional tissue characterization beyond the measurement of Hounsfield units. The purpose of this study was to evaluate multiple imaging parameters for different abdominal organs in dual energy CT (DECT) and analyze the effects of the contrast agent on these different parameters and provide normal values for characterization of parenchymatous organs.

PATIENTS AND METHODS

This retrospective analysis included a total of 484 standardized DECT scans of the abdomen. Hounsfield Units (HU), rho (electron density relative to water), Z (effective atomic number) and FF (fat fraction) were evaluated for liver, spleen, kidney, muscle, fat-tissue. Independent generalized estimation equation models were fitted.

RESULTS

In DECT imaging there is only little difference in mean HU for parenchymatous abdominal organs. Analysis including Z, rho and FF allows for better discrimination while a large overlap remains for liver, spleen and muscle. Including multidimensional analysis and the effects of contrast medium further enhances tissue characterization. Small differences remain for liver and spleen.

CONCLUSION

Organ characterization using multiparametric dual energy CT analysis is possible. An increased number of parameters obtained from DECT improves organ characterization. To our knowledge this is the first attempt to provide normal values for characterization of parenchymatous organs.

摘要

背景/目的:多参数双能计算机断层扫描(CT)成像能够在测量亨氏单位之外实现多维度组织特征分析。本研究旨在评估双能CT(DECT)中不同腹部器官的多个成像参数,分析对比剂对这些不同参数的影响,并提供实质性器官特征分析的正常值。

患者与方法

本回顾性分析共纳入484例标准化腹部DECT扫描。对肝脏、脾脏、肾脏、肌肉、脂肪组织的亨氏单位(HU)、ρ(相对于水的电子密度)、Z(有效原子序数)和FF(脂肪分数)进行评估。拟合独立的广义估计方程模型。

结果

在DECT成像中,腹部实质性器官的平均HU差异很小。包括Z、ρ和FF的分析能实现更好的区分,不过肝脏、脾脏和肌肉仍存在较大重叠。纳入多维度分析以及对比剂的影响可进一步增强组织特征分析。肝脏和脾脏仍存在微小差异。

结论

使用多参数双能CT分析进行器官特征分析是可行的。从DECT获得的参数数量增加可改善器官特征分析。据我们所知,这是首次尝试提供实质性器官特征分析的正常值。

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State of the art: dual-energy CT of the abdomen.现状:腹部双能量 CT。
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