scholarly journals Quantitative tumor oxymetric images from 4D electron paramagnetic resonance imaging (EPRI): Methodology and comparison with blood oxygen level-dependent (BOLD) MRI

2003 ◽  
Vol 49 (4) ◽  
pp. 682-691 ◽  
Author(s):  
Martyna Elas ◽  
Benjamin B. Williams ◽  
Adrian Parasca ◽  
Colin Mailer ◽  
Charles A. Pelizzari ◽  
...  
Keyword(s):  
Electron Paramagnetic Resonance ◽  
Blood Oxygen Level Dependent ◽  
Blood Oxygen ◽  
Oxygen Level ◽  
Resonance Imaging ◽  
Blood Oxygen Level ◽  
Paramagnetic Resonance ◽  
Bold Mri ◽  
Electron Paramagnetic Resonance Imaging ◽  
Electron Paramagnetic

scholarly journals Blood oxygen level-dependent magnetic resonance imaging for detecting pathological patterns in patients with lupus nephritis: a preliminary study using gray-level co-occurrence matrix analysis

2017 ◽  
Vol 46 (1) ◽  
pp. 204-218
Author(s):  
Huilan Shi ◽  
Junya Jia ◽  
Dong Li ◽  
Li Wei ◽  
Wenya Shang ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Magnetic Resonance ◽  
Lupus Nephritis ◽  
Blood Oxygen Level Dependent ◽  
Gray Level ◽  
Blood Oxygen ◽  
Oxygen Level ◽  
Resonance Imaging ◽  
Blood Oxygen Level ◽  
Bold Mri

Objective Blood oxygen level-dependent magnetic resonance imaging (BOLD MRI) is a noninvasive technique useful in patients with renal disease. The current study was performed to determine whether BOLD MRI can contribute to the diagnosis of renal pathological patterns. Methods BOLD MRI was used to obtain functional magnetic resonance parameter R2* values. Gray-level co-occurrence matrixes (GLCMs) were generated for gray-scale maps. Several GLCM parameters were calculated and used to construct algorithmic models for renal pathological patterns. Results Histopathology and BOLD MRI were used to examine 12 patients. Two GLCM parameters, including correlation and energy, revealed differences among four groups of renal pathological patterns. Four Fisher’s linear discriminant formulas were constructed using two variables, including the correlation at 45° and correlation at 90°. A cross-validation test showed that the formulas correctly predicted 28 of 36 samples, and the rate of correct prediction was 77.8%. Conclusions Differences in the texture characteristics of BOLD MRI in patients with lupus nephritis may be detected by GLCM analysis. Discriminant formulas constructed using GLCM parameters may facilitate prediction of renal pathological patterns.

scholarly journals Renal Oxygenation in male Metabolic Syndrome as evaluated by Blood Oxygen Level-Dependent Magnetic Resonance Imaging

2020 ◽  
Author(s):  
Yongqiang Li ◽  
Xiaodong Zhang ◽  
Chijian Li ◽  
Shisi Li ◽  
Shiyi Liang ◽  
...  
Keyword(s):  
Magnetic Resonance Imaging ◽  
Metabolic Syndrome ◽  
Magnetic Resonance ◽  
Blood Oxygen Level Dependent ◽  
Blood Oxygen ◽  
Oxygen Level ◽  
Resonance Imaging ◽  
Blood Oxygen Level ◽  
Bold Mri ◽  
Male Patients

Abstract Background- Blood Oxygen Level-Dependent Magnetic Resonance Imaging (BOLD-MRI) provide regional measurements of oxygen content using deoxyhemoglobin paramagnetic characteristics. Metabolic Syndrome (MS) could affect renal oxygenation, which have an impact on the clinical course of the disease. The goal of this study was to evaluate BOLD-MRI findings in kidneys of male patients with MS.Materials and Methods- A total of 24 males patients with MS were collected in the hospital and 24 male volunteers were selected as the control group. All volunteers underwent a renal scan using 3.0T magnet (Philips, Achieva). R2* of the renal cortex and medulla was measured on BOLD images.Results- Medullary R2* (MR2*) and Medulla/Cortex R2* ratio（MCR） were significantly lower in MS patients (MR2*=24.39±2.18 s−1, MCR=1.29±0.14) than in controls (MR2*=28.21±4.70s−1, MCR=1.53±0.28 ) (P<0.01), and cortical R2* (CR2*) values were not significantly different between the two group. Conclusions- The MR2* and MCR were lower in male patients with MS compared to controls. MR2*and MCR were potential imaging biomarkers for prediction of early renal impairment in male MS.

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