Literature DB >> 29539614

Methods of Blood Oxygen Level-Dependent Magnetic Resonance Imaging Analysis for Evaluating Renal Oxygenation.

Fen Chen1, Shulin Li1,2, Dong Sun1,2.   

Abstract

Blood oxygen level-dependent magnetic resonance imaging (BOLD MRI) has recently been utilized as a noninvasive tool for evaluating renal oxygenation. Several methods have been proposed for analyzing BOLD images. Regional ROI selection is the earliest and most widely used method for BOLD analysis. In the last 20 years, many investigators have used this method to evaluate cortical and medullary oxygenation in patients with ischemic nephropathy, hypertensive nephropathy, diabetic nephropathy, chronic kidney disease (CKD), acute kidney injury and renal allograft rejection. However, clinical trials of BOLD MRI using regional ROI selection revealed that it was difficult to distinguish the renal cortico-medullary zones with this method, and that it was susceptible to observer variability. To overcome these deficiencies, several new methods were proposed for analyzing BOLD images, including the compartmental approach, fractional hypoxia method, concentric objects (CO) method and twelve-layer concentric objects (TLCO) method. The compartmental approach provides an algorithm to judge whether the pixel belongs to the cortex or medulla. Fractional kidney hypoxia, measured by using BOLD MRI, was negatively correlated with renal blood flow, tissue perfusion and glomerular filtration rate (GFR) in patients with atherosclerotic renal artery stenosis. The CO method divides the renal parenchyma into six or twelve layers of thickness in each coronal slice of BOLD images and provides a R2* radial profile curve. The slope of the R2* curve associated positively with eGFR in CKD patients. Indeed, each method invariably has advantages and disadvantages, and there is generally no consensus method so far. Undoubtedly, analytic approaches for BOLD MRI with better reproducibility would assist clinicians in monitoring the degree of kidney hypoxia and thus facilitating timely reversal of tissue hypoxia.
© 2018 The Author(s). Published by S. Karger AG, Basel.

Entities:  

Keywords:  Blood oxygen level-dependent; Hypoxia; Kidney; Magnetic resonance imaging; Methods; Oxygen

Mesh:

Substances:

Year:  2018        PMID: 29539614     DOI: 10.1159/000488072

Source DB:  PubMed          Journal:  Kidney Blood Press Res        ISSN: 1420-4096            Impact factor:   2.687


  8 in total

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2.  Correlation between Blood Oxygen Level-Dependent Magnetic Resonance Imaging Images and Prognosis of Patients with Multicenter Diabetic Nephropathy on account of Artificial Intelligence Segmentation Algorithm.

Authors:  Yifan Zhang; Xiaohan Wang; Zhaoyu Lin; Guojian Shao; Renban Wang; Zhoutao Xie
Journal:  Comput Math Methods Med       Date:  2022-07-11       Impact factor: 2.809

3.  Fluctuation of R2* values in blood oxygenation level-dependent MRI during acute and remission phases of IgA vasculitis with nephritis in children.

Authors:  Tomohiko Nishino; Kazuhiro Takahashi; Sayaka Ono; Masakazu Mimaki
Journal:  Jpn J Radiol       Date:  2022-03-31       Impact factor: 2.701

Review 4.  The renal microcirculation in chronic kidney disease: novel diagnostic methods and therapeutic perspectives.

Authors:  Shulin Li; Fei Wang; Dong Sun
Journal:  Cell Biosci       Date:  2021-05-17       Impact factor: 7.133

5.  Application of diffusion tensor imaging and blood oxygenation level-dependent magnetic resonance imaging to assess bilateral renal function induced by Iohexol in rabbits.

Authors:  Zhiqiang Wang; Hongxu Liu; Heng Meng; Duo Zhang
Journal:  BMC Nephrol       Date:  2020-06-03       Impact factor: 2.388

6.  Susceptibility weighted imaging (SWI) for evaluating renal dysfunction in type 2 diabetes mellitus: a preliminary study using SWI parameters and SWI-based texture features.

Authors:  Zhenxing Jiang; Yu Wang; Jiule Ding; Shengnan Yu; Jinggang Zhang; Hua Zhou; Jia Di; Wei Xing
Journal:  Ann Transl Med       Date:  2020-12

7.  The utility of texture analysis of kidney MRI for evaluating renal dysfunction with multiclass classification model.

Authors:  Yuki Hara; Keita Nagawa; Yuya Yamamoto; Kaiji Inoue; Kazuto Funakoshi; Tsutomu Inoue; Hirokazu Okada; Masahiro Ishikawa; Naoki Kobayashi; Eito Kozawa
Journal:  Sci Rep       Date:  2022-08-30       Impact factor: 4.996

8.  Comparing the clinical utility of single-shot, readout-segmented and zoomit echo-planar imaging in diffusion-weighted imaging of the kidney at 3 T.

Authors:  Wenguang Liu; Hui Liu; Simin Xie; Ismail Bilal Masokano; Yu Bai; Xiao Wang; Linhui Zhong; Yi Wu; Jilin Nie; Gaofeng Zhou; Yigang Pei; Wenzheng Li
Journal:  Sci Rep       Date:  2022-07-20       Impact factor: 4.996

  8 in total

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