• 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

标准临床环境中的运动伪影掩盖了定量磁化率映射中与疾病特异性相关的差异。

Motion artifacts in standard clinical setting obscure disease-specific differences in quantitative susceptibility mapping.

机构信息

Tomographic Imaging, Philips Research Europe, Hamburg, Germany.

出版信息

Phys Med Biol. 2018 Jul 9;63(14):14NT01. doi: 10.1088/1361-6560/aacc52.

DOI:10.1088/1361-6560/aacc52
PMID:29897342
Abstract

As quantitative susceptibility mapping (QSM) is maturing, more clinical applications are being explored. With this comes the question whether QSM is sufficiently robust and reproducible to be directly used in a clinical setting where patients are possibly not cooperative and/or unable to suppress involuntary movements sufficiently. Twenty-nine patients with Alzheimer's disease, 31 patients with mild cognitive impairment and 41 healthy controls were scanned on a 3 T scanner, including a multi-echo gradient-echo sequence for QSM and an inversion-prepared segmented gradient-echo sequence (T1-TFE, MPRAGE). The severity of motion artifacts (excessive/strong/noticeable/invisible) was categorized via visual inspection by two independent raters. Quantitative susceptibility was reconstructed using 'joint background-field removal and segmentation-enhanced dipole inversion', based on segmented subcortical gray-matter regions, as well as using 'morphology enabled dipole inversion'. Statistical analysis of the susceptibility maps was performed per region. A large fraction of the data showed motion artifacts, visible in both magnitude images and susceptibility maps. No statistically significant susceptibility differences were found between groups including motion-affected data. Considering only subjects without visible motion, significant susceptibility differences were observed in caudate nucleus as well as in putamen. Motion-effects can obscure statistically significant differences in QSM between patients and controls. Additional measures to restrict and/or compensate for subject motion should be taken for QSM in standard clinical settings to avoid risk of false findings.

摘要

随着定量磁敏感图(QSM)技术的不断成熟,越来越多的临床应用正在被探索。随之而来的问题是,QSM 是否足够稳健和可重复,以便直接在临床环境中使用,在这种环境中,患者可能无法合作,并且/或者无法充分抑制无意识运动。在 3T 扫描仪上对 29 名阿尔茨海默病患者、31 名轻度认知障碍患者和 41 名健康对照者进行了扫描,包括用于 QSM 的多回波梯度回波序列和反转准备的分段梯度回波序列(T1-TFE,MPRAGE)。通过两位独立的评估者进行视觉检查,对运动伪影的严重程度(过度/强烈/明显/不可见)进行分类。使用“联合背景场去除和分割增强偶极子反演”,基于分割的皮质下灰质区域,以及使用“形态学启用偶极子反演”,对定量磁化率进行重建。对每个区域的磁化率图进行统计分析。很大一部分数据显示了运动伪影,在幅度图像和磁化率图中都可见。包括受运动影响的数据在内,各组之间没有发现统计学上显著的磁化率差异。仅考虑没有可见运动的受试者,在尾状核和壳核中观察到显著的磁化率差异。运动效应可能会掩盖患者和对照组之间 QSM 中统计学上显著的差异。在标准临床环境中进行 QSM 时,应采取额外的措施来限制和/或补偿受试者的运动,以避免出现错误发现的风险。

相似文献

1
Motion artifacts in standard clinical setting obscure disease-specific differences in quantitative susceptibility mapping.标准临床环境中的运动伪影掩盖了定量磁化率映射中与疾病特异性相关的差异。
Phys Med Biol. 2018 Jul 9;63(14):14NT01. doi: 10.1088/1361-6560/aacc52.
2
Human brain atlas for automated region of interest selection in quantitative susceptibility mapping: application to determine iron content in deep gray matter structures.人脑图谱用于定量磁化率映射中感兴趣区的自动选择:在确定深部灰质结构铁含量中的应用。
Neuroimage. 2013 Nov 15;82:449-69. doi: 10.1016/j.neuroimage.2013.05.127. Epub 2013 Jun 12.
3
STrategically Acquired Gradient Echo (STAGE) imaging, part I: Creating enhanced T1 contrast and standardized susceptibility weighted imaging and quantitative susceptibility mapping.战略性采集梯度回波(STAGE)成像,第一部分:创建增强的T1对比以及标准化的磁化率加权成像和定量磁化率图谱。
Magn Reson Imaging. 2018 Feb;46:130-139. doi: 10.1016/j.mri.2017.10.005. Epub 2017 Oct 19.
4
Prospective motion correction improves high-resolution quantitative susceptibility mapping at 7T.前瞻性运动校正可改善 7T 下高分辨率定量磁化率映射。
Magn Reson Med. 2019 Mar;81(3):1605-1619. doi: 10.1002/mrm.27509. Epub 2018 Oct 9.
5
Whole head quantitative susceptibility mapping using a least-norm direct dipole inversion method.基于最小范数直接偶极子反演方法的全头定量磁化率映射。
Neuroimage. 2018 Oct 1;179:166-175. doi: 10.1016/j.neuroimage.2018.06.036. Epub 2018 Jun 15.
6
Multi-atlas tool for automated segmentation of brain gray matter nuclei and quantification of their magnetic susceptibility.多图谱工具用于自动分割脑灰质核并量化其磁化率。
Neuroimage. 2019 May 1;191:337-349. doi: 10.1016/j.neuroimage.2019.02.016. Epub 2019 Feb 7.
7
Background field removal using a region adaptive kernel for quantitative susceptibility mapping of human brain.使用区域自适应内核去除背景场以进行人脑定量磁化率映射
J Magn Reson. 2017 Aug;281:130-140. doi: 10.1016/j.jmr.2017.05.004. Epub 2017 May 10.
8
Quantitative susceptibility mapping for susceptibility source separation with adaptive relaxometric constant estimation (QSM-ARCS) from solely gradient-echo data.仅从梯度回波数据进行适应性弛豫常数估计的(QSM-ARCS)用于磁化率源分离的定量磁化率映射。
Neuroimage. 2024 Aug 1;296:120676. doi: 10.1016/j.neuroimage.2024.120676. Epub 2024 Jun 7.
9
Correction of magnetic field inhomogeneity effects for fast quantitative susceptibility mapping.快速定量磁化率映射中磁场非均匀性效应的校正。
Magn Reson Med. 2019 Mar;81(3):1645-1658. doi: 10.1002/mrm.27516. Epub 2018 Nov 2.
10
Patterns of Brain Iron Accumulation in Vascular Dementia and Alzheimer's Dementia Using Quantitative Susceptibility Mapping Imaging.使用定量磁化率映射成像技术观察血管性痴呆和阿尔茨海默病性痴呆患者脑铁沉积模式
J Alzheimers Dis. 2016;51(3):737-45. doi: 10.3233/JAD-151037.

引用本文的文献

1
Iron Deposition and Distribution Across the Hippocampus Is Associated with Pattern Separation and Pattern Completion in Older Adults at Risk for Alzheimer's Disease.铁沉积和海马分布与阿尔茨海默病高危老年人的模式分离和模式完成有关。
J Neurosci. 2024 May 8;44(19):e1973232024. doi: 10.1523/JNEUROSCI.1973-23.2024.
2
Quantitative susceptibility mapping as an imaging biomarker for Alzheimer's disease: The expectations and limitations.定量磁化率成像作为阿尔茨海默病的一种影像生物标志物:期望与局限
Front Neurosci. 2022 Aug 5;16:938092. doi: 10.3389/fnins.2022.938092. eCollection 2022.
3
Early differentiation of neurodegenerative diseases using the novel QSM technique: what is the biomarker of each disorder?
使用新型 QSM 技术早期鉴别神经退行性疾病:每种疾病的生物标志物是什么?
BMC Neurosci. 2022 Jul 28;23(1):48. doi: 10.1186/s12868-022-00725-9.
4
Brain pathological changes during neurodegenerative diseases and their identification methods: How does QSM perform in detecting this process?神经退行性疾病期间的脑病理变化及其识别方法:定量磁敏感图(QSM)在检测这一过程中表现如何?
Insights Imaging. 2022 Apr 13;13(1):74. doi: 10.1186/s13244-022-01207-6.
5
Systematic Review: Quantitative Susceptibility Mapping (QSM) of Brain Iron Profile in Neurodegenerative Diseases.系统评价:神经退行性疾病脑铁分布的定量磁化率成像(QSM)
Front Neurosci. 2021 Feb 18;15:618435. doi: 10.3389/fnins.2021.618435. eCollection 2021.
6
European Ultrahigh-Field Imaging Network for Neurodegenerative Diseases (EUFIND).欧洲神经退行性疾病超高场成像网络(EUFIND)。
Alzheimers Dement (Amst). 2019 Jul 31;11:538-549. doi: 10.1016/j.dadm.2019.04.010. eCollection 2019 Dec.