scholarly journals Comparison of clinical value of dynamic contrast-enhanced MRI and SPECT renal dynamic imaging of GFR measurement in the evaluation of renal function in renal transplantation

2019 ◽  
Vol 6 (2) ◽  
pp. 7
Author(s):  
Hong G ◽  
Dan L ◽  
Yunhe L

Objective: To compare the clinical value of dynamic contrast-enhanced MRI (DCE-MRI) and single-photon emission computed tomography (SPECT) renal dynamic imaging in the measurement of glomerular filtration rate (GFR) in the evaluation of renal function in renal transplantation.Methods: A total of 70 recipients who underwent renal transplantation in Baogang Hospital of Inner Mongolia from April of 2015 to April of 2018 were selected as research objects. GFR was measured in renal transplant recipients by use of DCE-MRI and SPECT (GFR-MRI and GFR-SPECT respectively), and was compared with creatinine clearance rate (Ccr). The safety of contrast media was evaluated in DCE-MRI detection.Results: The bias of GFR-MRI against Ccr value was higher than that of GFR-SPECT against Ccr value, with 30% and 50% accuracy of GFR-MRI higher than that of GFR-SPECT, and the difference was statistically significant (p < .05). Pearson correlation analysis showed that GFR-MRI and GFR-SPECT values were positively correlated to Ccr (p < .05), and the correlation coefficient of GFR-MRI and Ccr was higher than that of GFR-SPECT and Ccr, with the difference statistically significant (p < .05). By Bland-Altman analysis, 95% confidence interval of GFR-SPECT was 95.49 ml/(min·1.73 m2), and 95% confidence interval of GFR-MRI was 62.35 ml/(min·1.73m2), which was much narrower. Only 2 cases of patients developed mild rash among 70 cases of patients, and recovered spontaneously without any treatment.Conclusions: Compared with SPECT, the bias of GFR measured by DCE-MRI against Ccr is much greater. However, DCE-MRI has a higher accuracy, correlation and consistency in comparison with Ccr, and it has a narrower confidence interval. DCE-MRI can more accurately evaluate renal function in renal transplantation by measuring GFR, and it has a high safety.

Author(s):  
James W. MacKay ◽  
Faezeh Sanaei Nezhad ◽  
Tamam Rifai ◽  
Joshua D. Kaggie ◽  
Josephine H. Naish ◽  
...  

Abstract Objectives Evaluate test-retest repeatability, ability to discriminate between osteoarthritic and healthy participants, and sensitivity to change over 6 months, of dynamic contrast-enhanced magnetic resonance imaging (DCE-MRI) biomarkers in knee OA. Methods Fourteen individuals aged 40–60 with mild-moderate knee OA and 6 age-matched healthy volunteers (HV) underwent DCE-MRI at 3 T at baseline, 1 month and 6 months. Voxelwise pharmacokinetic modelling of dynamic data was used to calculate DCE-MRI biomarkers including Ktrans and IAUC60. Median DCE-MRI biomarker values were extracted for each participant at each study visit. Synovial segmentation was performed using both manual and semiautomatic methods with calculation of an additional biomarker, the volume of enhancing pannus (VEP). Test-retest repeatability was assessed using intraclass correlation coefficients (ICC). Smallest detectable differences (SDDs) were calculated from test-retest data. Discrimination between OA and HV was assessed via calculation of between-group standardised mean differences (SMD). Responsiveness was assessed via the number of OA participants with changes greater than the SDD at 6 months. Results Ktrans demonstrated the best test-retest repeatability (Ktrans/IAUC60/VEP ICCs 0.90/0.84/0.40, SDDs as % of OA mean 33/71/76%), discrimination between OA and HV (SMDs 0.94/0.54/0.50) and responsiveness (5/1/1 out of 12 OA participants with 6-month change > SDD) when compared to IAUC60 and VEP. Biomarkers derived from semiautomatic segmentation outperformed those derived from manual segmentation across all domains. Conclusions Ktrans demonstrated the best repeatability, discrimination and sensitivity to change suggesting that it is the optimal DCE-MRI biomarker for use in experimental medicine studies. Key Points • Dynamic contrast-enhanced MRI (DCE-MRI) provides quantitative measures of synovitis in knee osteoarthritis which may permit early assessment of efficacy in experimental medicine studies. • This prospective observational study compared DCE-MRI biomarkers across domains relevant to experimental medicine: test-retest repeatability, discriminative validity and sensitivity to change. • The DCE-MRI biomarker Ktransdemonstrated the best performance across all three domains, suggesting that it is the optimal biomarker for use in future interventional studies.


2015 ◽  
Vol 33 (15_suppl) ◽  
pp. e15623-e15623
Author(s):  
Randy F. Sweis ◽  
Milica Medved ◽  
Shannon Towey ◽  
Greg S. Karczmar ◽  
Aytekin Oto ◽  
...  

2020 ◽  
Author(s):  
Liangliang Yan ◽  
Jianbo Gao ◽  
Jinrong Qu ◽  
Hongkai Zhang ◽  
Yanan Lu ◽  
...  

Abstract Background To analyze the correlation between quantitative dynamic contrast-enhanced MRI (DCE-MRI) parameters and molecular typing and related immune proteins in gastric cancer. Methods Forty-three patients confirmed as gastric adenocarcinoma by histopathology were enrolled in this prospective study. DCE-MRI were performed before surgery, and quantitative DCE parameters (Ktrans, Kep, Ve) were measured. The specimens were stained with biomarkers EBER-ISH, MLH1, PMS2, E-Cadherin, P53 and HER-2. According to the different dyeing results, they were divided into five molecular types and four HER-2 expression grades. The quantitative DCE parameters among five molecular types was compared using the ANOVA or Kruskal-Wallis test, and pairwise comparison was performed using the LSD test. The quantitative DCE parameters between positive and negative expressions of related immune proteins were compared using the Mann-Whitney U test. The correlations between quantitative DCE parameters and HER-2 expression grades were evaluated using Spearman rank correlation test. Results Among 43 cases, 3 cases were EBV-positive groups, 9 cases were MSI groups, 2 cases were aberrant E-Cadherin groups, 23 cases were aberrant P53 groups, and 6 cases were normal P53 groups. There were significant differences of quantitative DCE parameters in Ktrans and Kep among five molecular types (P < 0.05). The Ktrans value of Aberrant P53 group was lower than that of EBV-positive group, MSI group and Normal P53 group, the Kep value of E-Cadherin group was lower than that of EBV-positive group, and the Kep value of Aberrant P53 group was lower than that of EBV-positive group and MSI group, and all differences were statistically significant (all P < 0.05). Aberrant E-Cadherin group has the lowest Ktrans value (0.28/min) and Kep value (0.26/min) in five groups, respectively. There were no significant differences in quantitative DCE parameters between positive and negative expressions of all related immune proteins (all P > 0.05). There were no significant correlation between HER-2 expression grades and Ktrans, Kep, Ve values (r=-0.08, -0.03, -0.16, P = 0.63, 0.84, 0.31, respectively). Conclusion Quantitative DCE-MRI parameters can assess some molecular types of gastric cancer in a certain extent, and not assess related immune protein expressions, and not related to HER-2 expression grades.


2016 ◽  
Vol 310 (2) ◽  
pp. F174-F182 ◽  
Author(s):  
Luke Xie ◽  
Anita T. Layton ◽  
Nian Wang ◽  
Peder E. Z. Larson ◽  
Jeff L. Zhang ◽  
...  

Dynamic contrast-enhanced (DCE) MRI can provide key insight into renal function. DCE MRI is typically achieved through an injection of a gadolinium (Gd)-based contrast agent, which has desirable T1 quenching and tracer kinetics. However, significant T2* blooming effects and signal voids can arise when Gd becomes very concentrated, especially in the renal medulla and pelvis. One MRI sequence designed to alleviate T2* effects is the ultrashort echo time (UTE) sequence. In the present study, we observed T2* blooming in the inner medulla of the mouse kidney, despite using UTE at an echo time of 20 microseconds and a low dose of 0.03 mmol/kg Gd. We applied quantitative susceptibility mapping (QSM) and resolved the signal void into a positive susceptibility signal. The susceptibility values [in parts per million (ppm)] were converted into molar concentrations of Gd using a calibration curve. We determined the concentrating mechanism (referred to as the concentrating index) as a ratio of maximum Gd concentration in the inner medulla to the renal artery. The concentrating index was assessed longitudinally over a 17-wk course (3, 5, 7, 9, 13, 17 wk of age). We conclude that the UTE-based DCE method is limited in resolving extreme T2* content caused by the kidney's strong concentrating mechanism. QSM was able to resolve and confirm the source of the blooming effect to be the large positive susceptibility of concentrated Gd. UTE with QSM can complement traditional magnitude UTE and offer a powerful tool to study renal pathophysiology.


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