Nima Gilani, Artem Mikheev, Inge M Brinkmann, Malika Kumbella, James S Babb, Dibash Basukala, Andreas Wetscherek, Thomas Benkert, Hersh Chandarana, Eric E Sigmund
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One input to this process is a whole organ distillation of corticomedullary contrast of diffusion metrics, as has been explored for other renal biomarkers.</p><p><strong>Materials and methods: </strong>In this work, we probe the spatial dependence of diffusion MRI metrics with concentrically layered segmentation in 11 healthy kidneys at 3 T. The metrics include those from DTI, IVIM, a combined approach titled \"REnal Flow and Microstructure AnisotroPy (REFMAP)\", and a multiply encoded model titled \"FC-IVIM\" providing estimates of fluid velocity and branching length.</p><p><strong>Results: </strong>Fractional anisotropy decreased from the inner kidney to the outer kidney with the strongest layer correlation in both parenchyma (including cortex and medulla) and medulla with Spearman correlation coefficients and p-values (r, p) of (0.42, <0.001) and (0.37, <0.001), respectively. Also, dynamic parameters derived from the three models significantly decreased with a high correlation from the inner to the outer parenchyma or medulla with (r, p) ranges of (0.46-0.55, <0.001).</p><p><strong>Conclusions: </strong>These spatial trends might find implications for indirect assessments of kidney physiology and microstructure using diffusion MRI.</p>","PeriodicalId":18067,"journal":{"name":"Magnetic Resonance Materials in Physics, Biology and Medicine","volume":" ","pages":"671-680"},"PeriodicalIF":2.0000,"publicationDate":"2024-08-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Spatial profiling of in vivo diffusion-weighted MRI parameters in the healthy human kidney.\",\"authors\":\"Nima Gilani, Artem Mikheev, Inge M Brinkmann, Malika Kumbella, James S Babb, Dibash Basukala, Andreas Wetscherek, Thomas Benkert, Hersh Chandarana, Eric E Sigmund\",\"doi\":\"10.1007/s10334-024-01159-6\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objective: </strong>Diffusion-weighted MRI is a technique that can infer microstructural and microcirculatory features from biological tissue, with particular application to renal tissue. 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引用次数: 0
摘要
目的:弥散加权磁共振成像是一种能从生物组织中推断微结构和微循环特征的技术,尤其适用于肾组织。关于肾髓质各向异性的弥散张量成像(DTI)、分离微结构和微循环效应的体外非相干运动(IVIM)测量以及两者的结合,已有大量文献报道。然而,解释这些特征和调整更具体的模型仍然是一个持续的挑战。这一过程的输入之一是对扩散指标的皮质髓质对比进行全器官蒸馏,其他肾脏生物标记物也是如此:这些指标包括来自 DTI、IVIM、名为 "REnal Flow and Microstructure AnisotroPy (REFMAP) "的组合方法以及名为 "FC-IVIM "的多重编码模型(提供流体速度和分支长度估计值)的指标:结果:分数各向异性从内肾向外肾下降,实质(包括皮质和髓质)和髓质的层相关性最强,斯皮尔曼相关系数和 p 值(r,p)分别为(0.42,结论:这些空间趋势可能会对使用弥散核磁共振成像间接评估肾脏生理和微观结构产生影响。
Spatial profiling of in vivo diffusion-weighted MRI parameters in the healthy human kidney.
Objective: Diffusion-weighted MRI is a technique that can infer microstructural and microcirculatory features from biological tissue, with particular application to renal tissue. There is extensive literature on diffusion tensor imaging (DTI) of anisotropy in the renal medulla, intravoxel incoherent motion (IVIM) measurements separating microstructural from microcirculation effects, and combinations of the two. However, interpretation of these features and adaptation of more specific models remains an ongoing challenge. One input to this process is a whole organ distillation of corticomedullary contrast of diffusion metrics, as has been explored for other renal biomarkers.
Materials and methods: In this work, we probe the spatial dependence of diffusion MRI metrics with concentrically layered segmentation in 11 healthy kidneys at 3 T. The metrics include those from DTI, IVIM, a combined approach titled "REnal Flow and Microstructure AnisotroPy (REFMAP)", and a multiply encoded model titled "FC-IVIM" providing estimates of fluid velocity and branching length.
Results: Fractional anisotropy decreased from the inner kidney to the outer kidney with the strongest layer correlation in both parenchyma (including cortex and medulla) and medulla with Spearman correlation coefficients and p-values (r, p) of (0.42, <0.001) and (0.37, <0.001), respectively. Also, dynamic parameters derived from the three models significantly decreased with a high correlation from the inner to the outer parenchyma or medulla with (r, p) ranges of (0.46-0.55, <0.001).
Conclusions: These spatial trends might find implications for indirect assessments of kidney physiology and microstructure using diffusion MRI.
期刊介绍:
MAGMA is a multidisciplinary international journal devoted to the publication of articles on all aspects of magnetic resonance techniques and their applications in medicine and biology. MAGMA currently publishes research papers, reviews, letters to the editor, and commentaries, six times a year. The subject areas covered by MAGMA include:
advances in materials, hardware and software in magnetic resonance technology,
new developments and results in research and practical applications of magnetic resonance imaging and spectroscopy related to biology and medicine,
study of animal models and intact cells using magnetic resonance,
reports of clinical trials on humans and clinical validation of magnetic resonance protocols.