Comparison of Diffusion Tensor Imaging Metrics in Normal-Appearing White Matter to Cerebrovascular Lesions and Correlation with Cerebrovascular Disease Risk Factors and Severity.

IF 3.3 Q2 ENGINEERING, BIOMEDICAL International Journal of Biomedical Imaging Pub Date : 2022-10-21 eCollection Date: 2022-01-01 DOI:10.1155/2022/5860364
Seyyed M H Haddad, Christopher J M Scott, Miracle Ozzoude, Courtney Berezuk, Melissa Holmes, Sabrina Adamo, Joel Ramirez, Stephen R Arnott, Nuwan D Nanayakkara, Malcolm Binns, Derek Beaton, Wendy Lou, Kelly Sunderland, Sujeevini Sujanthan, Jane Lawrence, Donna Kwan, Brian Tan, Leanne Casaubon, Jennifer Mandzia, Demetrios Sahlas, Gustavo Saposnik, Ayman Hassan, Brian Levine, Paula McLaughlin, J B Orange, Angela Roberts, Angela Troyer, Sandra E Black, Dar Dowlatshahi, Stephen C Strother, Richard H Swartz, Sean Symons, Manuel Montero-Odasso, Ondri Investigators, Robert Bartha
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引用次数: 2

Abstract

Alterations in tissue microstructure in normal-appearing white matter (NAWM), specifically measured by diffusion tensor imaging (DTI) fractional anisotropy (FA), have been associated with cognitive outcomes following stroke. The purpose of this study was to comprehensively compare conventional DTI measures of tissue microstructure in NAWM to diverse vascular brain lesions in people with cerebrovascular disease (CVD) and to examine associations between FA in NAWM and cerebrovascular risk factors. DTI metrics including fractional anisotropy (FA), mean diffusivity (MD), axial diffusivity (AD), and radial diffusivity (RD) were measured in cerebral tissues and cerebrovascular anomalies from 152 people with CVD participating in the Ontario Neurodegenerative Disease Research Initiative (ONDRI). Ten cerebral tissue types were segmented including NAWM, and vascular lesions including stroke, periventricular and deep white matter hyperintensities, periventricular and deep lacunar infarcts, and perivascular spaces (PVS) using T1-weighted, proton density-weighted, T2-weighted, and fluid attenuated inversion recovery MRI scans. Mean DTI metrics were measured in each tissue region using a previously developed DTI processing pipeline and compared between tissues using multivariate analysis of covariance. Associations between FA in NAWM and several CVD risk factors were also examined. DTI metrics in vascular lesions differed significantly from healthy tissue. Specifically, all tissue types had significantly different MD values, while FA was also found to be different in most tissue types. FA in NAWM was inversely related to hypertension and modified Rankin scale (mRS). This study demonstrated the differences between conventional DTI metrics, FA, MD, AD, and RD, in cerebral vascular lesions and healthy tissue types. Therefore, incorporating DTI to characterize the integrity of the tissue microstructure could help to define the extent and severity of various brain vascular anomalies. The association between FA within NAWM and clinical evaluation of hypertension and disability provides further evidence that white matter microstructural integrity is impacted by cerebrovascular function.

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正常脑白质弥散张量成像指标与脑血管病变的比较及其与脑血管疾病危险因素和严重程度的相关性
通过弥散张量成像(DTI)分数各向异性(FA)测量的正常白质(NAWM)组织微观结构的改变与脑卒中后的认知结果有关。本研究的目的是全面比较脑血管疾病(CVD)患者NAWM组织微观结构的常规DTI测量,并研究NAWM中FA与脑血管危险因素之间的关系。DTI指标包括分数各向异性(FA)、平均扩散率(MD)、轴向扩散率(AD)和径向扩散率(RD),测量了参加安大略省神经退行性疾病研究计划(ONDRI)的152名CVD患者的脑组织和脑血管异常。采用t1加权、质子密度加权、t2加权和液体衰减反转恢复MRI扫描,对包括NAWM在内的10种脑组织进行分割,并对包括脑卒中、脑室周围和深部白质高信号、脑室周围和深部腔隙梗死以及血管周围间隙(PVS)在内的血管病变进行分割。使用先前开发的DTI处理管道测量每个组织区域的平均DTI指标,并使用多变量协方差分析比较组织之间的差异。NAWM中FA与几种CVD危险因素之间的关系也进行了研究。血管病变的DTI指标与健康组织有显著差异。具体而言,所有组织类型的MD值都有显著差异,而FA在大多数组织类型中也存在差异。NAWM患者FA与高血压、改良Rankin量表(mRS)呈负相关。本研究证明了常规DTI指标FA、MD、AD和RD在脑血管病变和健康组织类型中的差异。因此,结合DTI来表征组织微观结构的完整性有助于确定各种脑血管异常的程度和严重程度。NAWM内FA与高血压和残疾的临床评估之间的关联进一步证明了白质微结构完整性受到脑血管功能的影响。
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来源期刊
CiteScore
12.00
自引率
0.00%
发文量
11
审稿时长
20 weeks
期刊介绍: The International Journal of Biomedical Imaging is managed by a board of editors comprising internationally renowned active researchers. The journal is freely accessible online and also offered for purchase in print format. It employs a web-based review system to ensure swift turnaround times while maintaining high standards. In addition to regular issues, special issues are organized by guest editors. The subject areas covered include (but are not limited to): Digital radiography and tomosynthesis X-ray computed tomography (CT) Magnetic resonance imaging (MRI) Single photon emission computed tomography (SPECT) Positron emission tomography (PET) Ultrasound imaging Diffuse optical tomography, coherence, fluorescence, bioluminescence tomography, impedance tomography Neutron imaging for biomedical applications Magnetic and optical spectroscopy, and optical biopsy Optical, electron, scanning tunneling/atomic force microscopy Small animal imaging Functional, cellular, and molecular imaging Imaging assays for screening and molecular analysis Microarray image analysis and bioinformatics Emerging biomedical imaging techniques Imaging modality fusion Biomedical imaging instrumentation Biomedical image processing, pattern recognition, and analysis Biomedical image visualization, compression, transmission, and storage Imaging and modeling related to systems biology and systems biomedicine Applied mathematics, applied physics, and chemistry related to biomedical imaging Grid-enabling technology for biomedical imaging and informatics
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