scholarly journals Functional imaging of the parotid glands using blood oxygenation level dependent (BOLD)-MRI at 1.5T and 3T

2007 ◽  
Vol 27 (1) ◽  
pp. 43-48 ◽  
Author(s):  
Sonia C. Simon-Zoula ◽  
Chris Boesch ◽  
Frederik De Keyzer ◽  
Harriet C. Thoeny
Circulation ◽  
2008 ◽  
Vol 118 (suppl_18) ◽  
Author(s):  
Theodoros D Karamitsos ◽  
Alejandro Recio-Mayoral ◽  
Jayanth R Arnold ◽  
Lucia Leccisotti ◽  
Paul Bhamra-Ariza ◽  
...  

Blood oxygenation level-dependent (BOLD) MRI clinical studies at 1.5 Tesla (T) have been principally limited by low signal to noise. We sought to apply this method at 3T in patients with coronary artery disease (CAD) and normal volunteers, and validated it against perfusion measurements by PET. Twenty-two patients (age 62±8 yrs, 16 men) with CAD (at least 1 stenosis > 50% on quantitative coronary angiography-QCA) and 10 normal volunteers (age 52±7 yrs, 7 men) underwent 3T BOLD MRI and PET. For BOLD MRI a mid-ventricular slice was acquired every 30sec at rest and during adenosine stress (140 μg/kg/min). A set of 6 images was acquired at rest and at peak stress. Using PET with oxygen-15 labelled water, myocardial blood flow (MBF) was measured at baseline and during adenosine hyperemia. The BOLD short-axis view was divided into 6 segments, according to the mid-ventricular segments of the 17-AHA segment model, and mean signal intensities (SI) were calculated using QMass (Medis) software. PET images were analyzed with MATLAB software (MathWorks Inc.) and registered with the BOLD short-axis image using anatomical landmarks. Taking QCA as the gold standard, cut-off values for stress MBF (< 2.57ml/min/g - AUC 0.79) and BOLD SI change (< 4.75% -AUC 0.78) were determined to define ischemic segments. Rest MBF, stress MBF, coronary flow reserve and BOLD-SI change of ischemic (n=69), remote to ischemia (n=73) and normal segments (n=60) are shown in table . BOLD MRI and PET agreed on the presence or absence of ischemia in 18 of the 22 patients (82%), and in all normals. With regards to per segment analysis: taking PET as the gold standard and by applying the cut-off values for stress MBF and BOLD SI, BOLD MRI had only moderate sensitivity (61%) but good specificity (88%) for the identification of ischemia. T2-prepared SSFP 3T BOLD imaging is feasible in the clinical setting and has good agreement with PET perfusion measurements for the detection of myocardial ischemia.


2021 ◽  
pp. 20210461
Author(s):  
Yongtae Kim ◽  
Jung Jae Park ◽  
Chan Kyo Kim

Objective: Blood oxygenation-level dependent (BOLD) MRI may identify or quantify the regional distribution of hypoxia within a tumor. We aimed to evaluate the feasibility of BOLD MRI at 3 T in differentiating prostate cancer from benign tissue. Methods: A total of 145 patients with biopsy-proven prostate cancer underwent BOLD MRI at 3 T. BOLD MRI was performed using a multiple fast field echo sequence to acquire 12 T2*-weighted images. The R2* value (rate of relaxation, s−1) was measured in the index tumor, and benign peripheral (PZ) and transition zone (TZ), and the results were compared. The variability of R2* measurements was evaluated. Results: Tumor R2* values (25.95 s−1) were significantly different from the benign PZ (27.83 s−1) and benign TZ (21.66 s−1) (p < 0.001). For identifying the tumor, the area under the receiver operating characteristic of R2* was 0.606, with an optimal cut-off value of 22.8 s−1 resulting in 73.8% sensitivity and 52% specificity. In the Bland–Altman test, the mean differences in R2* values were 8.5% for tumors, 13.3% for benign PZ, and 6.8% for benign TZ. No associations between tumor R2* value and Gleason score, age, prostate volume, prostate-specific antigen, or tumor size. Conclusion: BOLD MRI at 3 T appears to be a feasible tool for differentiating between prostate cancer and benign tissue. However, further studies are required for a direct clinical application. Advances in knowledge: The R2* values are significantly different among prostate cancer, benign PZ, and benign TZ.


2012 ◽  
Vol 25 (12) ◽  
pp. 1321-1330 ◽  
Author(s):  
Rami R. Hallac ◽  
Yao Ding ◽  
Qing Yuan ◽  
Roderick W. McColl ◽  
Jayanthi Lea ◽  
...  

2021 ◽  
Vol 12 (1) ◽  
Author(s):  
Ping Liang ◽  
Yaxian Chen ◽  
ShiChao Li ◽  
Chuou Xu ◽  
Guanjie Yuan ◽  
...  

Abstract Objectives To explore whether multiparametric approach including blood oxygenation level-dependent MRI (BOLD-MRI) and intravoxel incoherent motion diffusion-weighted imaging (IVIM-DWI) can be applied in the assessment of renal function in children with chronic kidney disease (CKD). Materials and methods This prospective study included 74 children (CKD stage 1–3, 51; CKD stage 4–5, 12; healthy volunteers, 11) for renal MRI examinations including coronal T2WI, axial T1WI and T2WI, BOLD-MRI, and DWI sequences. We measured the renal cortex and medulla T2*, ADC, Dt, Dp, and fp values on BOLD and DWI images. Appropriate statistical methods were applied for comparing MRI-derived parameters among the three groups and calculating the correlation coefficients between MRI-derived parameters and clinical data. Receiver operating characteristic (ROC) curves were used to assess the diagnostic performance of MRI-derived parameters. Results There were significant differences in cortex T2*, ADC, Dt, fp and medulla T2*, ADC, Dt among the three groups. Cortex T2*, ADC, Dt, fp and medulla T2*, ADC, Dt had a trend: CKD stage 4–5 < CKD stage 1–3 < healthy volunteers. Cortex and medulla T2*, ADC, Dt were significantly correlated with eGFR, serum creatinine (Scr), cystatin C. In addition, cortex T2* and eGFR showed the highest correlation coefficient (r = 0.824, p < 0.001). Cortex Dt and medulla T2* were optimal parameters for differentiating healthy volunteers and CKD stage 1–3 or CKD stage 4–5 and CKD stage 1–3, respectively. Conclusions BOLD-MRI and IVIM-DWI might be used as a feasible method for noninvasive assessment of renal function in children with CKD.


2012 ◽  
Vol 25 (4) ◽  
pp. 251-261 ◽  
Author(s):  
Sasan Partovi ◽  
Sasan Karimi ◽  
Bjoern Jacobi ◽  
Anja-Carina Schulte ◽  
Markus Aschwanden ◽  
...  

2012 ◽  
Vol 35 (5) ◽  
pp. 1227-1232 ◽  
Author(s):  
Sasan Partovi ◽  
Anja-Carina Schulte ◽  
Bjoern Jacobi ◽  
Markus Klarhöfer ◽  
Alan B. Lumsden ◽  
...  

2017 ◽  
Vol 42 (6) ◽  
pp. 1078-1089
Author(s):  
Frederic Bauer ◽  
Jan Wald ◽  
Felix Jan  Bauer ◽  
Lisa Maria Dahlkamp ◽  
Felix S. Seibert ◽  
...  

Nephron ◽  
2021 ◽  
pp. 1-11
Author(s):  
Jing Yang ◽  
Shuohui Yang ◽  
Yizeng Xu ◽  
Fang Lu ◽  
Lan You ◽  
...  

<b><i>Introduction:</i></b> The basic pathophysiologic derangement of chronic kidney disease (CKD) begins with the loss of nephrons, leading to renal hemodynamic changes, eventually causing a reduced nephron count and renal hypoxia. The purpose of this study was to observe the renal oxygenation and renal hemodynamics of patients with CKD using blood oxygenation level-dependent (BOLD) magnetic resonance imaging (MRI) and intrarenal Doppler ultrasonography (IDU). <b><i>Methods:</i></b> The study enrolled 39 patients with stage 1–4 CKD and 19 healthy volunteers (HVs). Based on their estimated glomerular filtration rate (eGFR), CKD patients were divided into 2 subgroups: a mild renal impairment (MI) group and a moderate to severe renal impairment (MSI) group. We monitored the participants’ mean cortical T2* (COT2*) and mean medullary T2* (MET2*) values on BOLD-MRI, and measured the peak systolic velocities (PSVs), end-diastolic velocities (EDVs), renal resistive index (RI), and kidney length by IDU. We also recorded clinical indicators such as age, sex, body mass index (BMI), 24-h urinary protein (24-h Upr), serum creatinine (sCr), blood urea nitrogen (BUN), and eGFR. BOLD-MRI, IDU measurements, and the clinical indicators were compared in CKD patients and HVs by the analysis of variance and Kruskal-Wallis <i>H</i> test. Spearman’s correlation was used to assess the relationship between data from BOLD-MRI and IDU and clinical indicators. <b><i>Results:</i></b> The COT2* values were significantly higher than the MET2* values in the HV, MI, and MSI groups. COT2*, MET2*, EDV, PSV, and kidney length gradually decreased in the HV, MI, and MSI groups (all <i>p &#x3c;</i> 0.05), whereas RI and 24-h Upr gradually increased (both <i>p</i> &#x3c; 0.05). Spearman correlation analysis showed that COT2* and MET2* were significantly positively correlated with eGFR, PSV, EDV, and kidney length but were significantly negatively correlated with sCr, BUN, and 24-h Upr (all <i>p</i> &#x3c; 0.05). There was no correlation observed between the COT2* and MET2* and the RI and BMI values. <b><i>Conclusions:</i></b> Renal oxygenation and blood flow velocities were found declined as the CKD stage progressed. The BOLD-MRI and IDU techniques may have clinical value by measuring intrarenal oxygenation and renal blood perfusion to judge the severity of renal damage in patients with CKD.


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