• 文献检索
  • 文档翻译
  • 深度研究
  • 学术资讯
  • Suppr Zotero 插件Zotero 插件
  • 邀请有礼
  • 套餐&价格
  • 历史记录
应用&插件
Suppr Zotero 插件Zotero 插件浏览器插件Mac 客户端Windows 客户端微信小程序
定价
高级版会员购买积分包购买API积分包
服务
文献检索文档翻译深度研究API 文档MCP 服务
关于我们
关于 Suppr公司介绍联系我们用户协议隐私条款
关注我们

Suppr 超能文献

核心技术专利:CN118964589B侵权必究
粤ICP备2023148730 号-1Suppr @ 2026

文献检索

告别复杂PubMed语法,用中文像聊天一样搜索,搜遍4000万医学文献。AI智能推荐,让科研检索更轻松。

立即免费搜索

文件翻译

保留排版,准确专业,支持PDF/Word/PPT等文件格式,支持 12+语言互译。

免费翻译文档

深度研究

AI帮你快速写综述,25分钟生成高质量综述,智能提取关键信息,辅助科研写作。

立即免费体验

PET发射研究的CT衰减校正中口服CT对比剂引起的误差原因及大小。

Cause and magnitude of the error induced by oral CT contrast agent in CT-based attenuation correction of PET emission studies.

作者信息

Dizendorf Elena, Hany Thomas F, Buck Alfred, von Schulthess Gustav K, Burger Cyrill

机构信息

Division of Nuclear Medicine, University Hospital of Zurich, Zurich, Switzerland.

出版信息

J Nucl Med. 2003 May;44(5):732-8.

PMID:12732674
Abstract

UNLABELLED

CT images represent essentially noiseless maps of photon attenuation at a range of 40-140 keV. Current dual-modality PET/CT scanners transform them into attenuation coefficients at 511 keV and use these for PET attenuation correction. The proportional scaling algorithms hereby used account for the different properties of soft tissue and bone but are not prepared to handle material with other attenuation characteristics, such as oral CT contrast agents. As a consequence, CT-based attenuation correction in the presence of an oral contrast agent results in erroneous PET standardized uptake values (SUVs). The present study assessed these errors with phantom measurements and patient data.

METHODS

Two oral CT contrast agents were imaged at 3 different concentrations in dual-modality CT and PET transmission studies to investigate their attenuation properties. The SUV error due to the presence of contrast agent in CT-based attenuation correction was estimated in 10 patients with gastrointestinal tumors as follows. The PET data were attenuation corrected on the basis of the original contrast-enhanced CT images, resulting in PET images with distorted SUVs. A second reconstruction used modified CT images wherein the CT numbers representing contrast agent had been replaced by CT values producing approximately the right PET attenuation coefficients. These CT values had been derived from the data of 10 patients imaged without a CT contrast agent. The SUV error, defined as the difference between both sets of SUV images, was evaluated in regions with oral CT contrast agent, in tumor, and in reference tissue.

RESULTS

The oral CT contrast agents studied increased the attenuation for 511-keV photons minimally, even at the highest concentrations found in the patients. For a CT value of 500 Hounsfield units, the proportional scaling algorithm therefore overestimated the PET attenuation coefficient by 26.2%. The resulting SUV error in the patient studies was highest in regions containing CT contrast agent (4.4% +/- 2.8%; maximum, 11.3%), whereas 1.2% +/- 1.1% (maximum, 4.1%) was found in tumors, and 0.6% +/- 0.7% was found in the reference.

CONCLUSION

The use of oral contrast agents in CT has only a small effect on the SUV, and this small effect does not appear to be medically significant.

摘要

未标注

CT图像本质上是40 - 140 keV范围内光子衰减的无噪声图谱。当前的双模态PET/CT扫描仪将其转换为511 keV时的衰减系数,并将这些用于PET衰减校正。在此使用的比例缩放算法考虑了软组织和骨骼的不同特性,但未准备好处理具有其他衰减特征的物质,如口服CT造影剂。因此,在存在口服造影剂的情况下基于CT的衰减校正会导致错误的PET标准化摄取值(SUV)。本研究通过体模测量和患者数据评估了这些误差。

方法

在双模态CT和PET透射研究中,对两种口服CT造影剂在3种不同浓度下进行成像,以研究其衰减特性。如下估计10例胃肠道肿瘤患者中基于CT的衰减校正中由于造影剂存在导致的SUV误差。PET数据基于原始增强CT图像进行衰减校正,从而得到SUV失真的PET图像。第二次重建使用了修改后的CT图像,其中代表造影剂的CT值已被产生近似正确PET衰减系数的CT值所取代。这些CT值来自10例未使用CT造影剂成像的患者的数据。在含有口服CT造影剂的区域、肿瘤和参考组织中评估定义为两组SUV图像之间差异的SUV误差。

结果

所研究的口服CT造影剂即使在患者中发现的最高浓度下,对511 keV光子的衰减增加也极小。因此,对于500亨氏单位的CT值,比例缩放算法将PET衰减系数高估了26.2%。在患者研究中,含有CT造影剂的区域中产生的SUV误差最高(4.4%±2.8%;最大值为11.3%),而在肿瘤中为1.2%±1.1%(最大值为4.1%),在参考组织中为0.6%±0.7%。

结论

CT中使用口服造影剂对SUV的影响很小,并且这种小影响似乎在医学上不具有显著意义。

相似文献

1
Cause and magnitude of the error induced by oral CT contrast agent in CT-based attenuation correction of PET emission studies.PET发射研究的CT衰减校正中口服CT对比剂引起的误差原因及大小。
J Nucl Med. 2003 May;44(5):732-8.
2
A virtual sinogram method to reduce dental metallic implant artefacts in computed tomography-based attenuation correction for PET.一种用于在基于计算机断层扫描的正电子发射断层显像衰减校正中减少牙科金属植入物伪影的虚拟正弦图方法。
Nucl Med Commun. 2010 Jan;31(1):22-31. doi: 10.1097/MNM.0b013e32832fa241.
3
Correction for oral contrast artifacts in CT attenuation-corrected PET images obtained by combined PET/CT.通过PET/CT联合获得的CT衰减校正PET图像中口腔对比剂伪影的校正。
J Nucl Med. 2003 Dec;44(12):1940-4.
4
X-ray-based attenuation correction for positron emission tomography/computed tomography scanners.用于正电子发射断层扫描/计算机断层扫描扫描仪的基于X射线的衰减校正
Semin Nucl Med. 2003 Jul;33(3):166-79. doi: 10.1053/snuc.2003.127307.
5
Correction of photon attenuation and collimator response for a body-contouring SPECT/CT imaging system.针对体部轮廓SPECT/CT成像系统的光子衰减和准直器响应校正。
J Nucl Med. 2005 May;46(5):868-77.
6
Attenuation correction of PET images with respiration-averaged CT images in PET/CT.在PET/CT中使用呼吸平均CT图像对PET图像进行衰减校正。
J Nucl Med. 2005 Sep;46(9):1481-7.
7
Quantitative analysis shows that contrast medium in positron emission tomography/computed tomography may cause significant artefacts.定量分析表明,正电子发射断层扫描/计算机断层扫描中的造影剂可能会导致明显的伪影。
Nucl Med Commun. 2012 Aug;33(8):864-71. doi: 10.1097/MNM.0b013e3283531d45.
8
Tissue classification as a potential approach for attenuation correction in whole-body PET/MRI: evaluation with PET/CT data.组织分类作为全身PET/MRI衰减校正的一种潜在方法:基于PET/CT数据的评估
J Nucl Med. 2009 Apr;50(4):520-6. doi: 10.2967/jnumed.108.054726. Epub 2009 Mar 16.
9
Attenuation correction of myocardial SPECT perfusion images with low-dose CT: evaluation of the method by comparison with perfusion PET.低剂量CT对心肌SPECT灌注图像的衰减校正:与灌注PET比较评估该方法
J Nucl Med. 2005 May;46(5):736-44.
10
Truncation artifact on PET/CT: impact on measurements of activity concentration and assessment of a correction algorithm.PET/CT上的截断伪影:对活度浓度测量及校正算法评估的影响
AJR Am J Roentgenol. 2006 May;186(5):1458-67. doi: 10.2214/AJR.05.0255.

引用本文的文献

1
Comprehensive literature review of oral and intravenous contrast-enhanced PET/CT: a step forward?口服和静脉注射对比剂增强PET/CT的综合文献综述:是向前迈进了一步吗?
Front Med (Lausanne). 2024 Mar 19;11:1373260. doi: 10.3389/fmed.2024.1373260. eCollection 2024.
2
Pitfalls on PET/CT Due to Artifacts and Instrumentation.由于伪影和仪器而导致的 PET/CT 陷阱。
Semin Nucl Med. 2021 Nov;51(6):646-656. doi: 10.1053/j.semnuclmed.2021.06.015. Epub 2021 Jul 7.
3
FDG-PET/CT imaging findings of hepatic tumors and tumor-like lesions based on molecular background.
基于分子背景的肝脏肿瘤和肿瘤样病变的 FDG-PET/CT 影像学表现。
Jpn J Radiol. 2020 Aug;38(8):697-718. doi: 10.1007/s11604-020-00961-1. Epub 2020 Apr 3.
4
Morphology supporting function: attenuation correction for SPECT/CT, PET/CT, and PET/MR imaging.形态学支持功能:SPECT/CT、PET/CT和PET/MR成像的衰减校正。
Q J Nucl Med Mol Imaging. 2016 Mar;60(1):25-39. Epub 2015 Nov 17.
5
PET-specific parameters and radiotracers in theoretical tumour modelling.理论肿瘤模型中的PET特异性参数和放射性示踪剂。
Comput Math Methods Med. 2015;2015:415923. doi: 10.1155/2015/415923. Epub 2015 Feb 19.
6
Recommendations of the Spanish Societies of Radiation Oncology (SEOR), Nuclear Medicine & Molecular Imaging (SEMNiM), and Medical Physics (SEFM) on (18)F-FDG PET-CT for radiotherapy treatment planning.西班牙放射肿瘤学会(SEOR)、核医学与分子影像学会(SEMNIM)以及医学物理学会(SEFM)关于(18)F-FDG PET-CT用于放射治疗计划的建议
Rep Pract Oncol Radiother. 2012 Nov 17;17(6):298-318. doi: 10.1016/j.rpor.2012.10.001. eCollection 2012.
7
Contrast-enhanced small-animal PET/CT in cancer research: strong improvement of diagnostic accuracy without significant alteration of quantitative accuracy and NEMA NU 4-2008 image quality parameters.小动物 PET/CT 对比增强在癌症研究中的应用:在不显著改变定量准确性和 NEMA NU 4-2008 图像质量参数的情况下,大幅提高诊断准确性。
EJNMMI Res. 2013 Jan 17;3(1):5. doi: 10.1186/2191-219X-3-5.
8
Optimization of K-edge imaging with spectral CT.光谱 CT 的 K 边成像优化。
Med Phys. 2012 Nov;39(11):6572-9. doi: 10.1118/1.4754587.
9
Dose management in CT facility.CT设备中的剂量管理。
Biomed Imaging Interv J. 2007 Apr;3(2):e43. doi: 10.2349/biij.3.2.e43. Epub 2007 Apr 1.
10
Optimisation of whole-body PET/CT scanning protocols.全身PET/CT扫描协议的优化。
Biomed Imaging Interv J. 2007 Apr;3(2):e36. doi: 10.2349/biij.3.2.e36. Epub 2007 Apr 1.