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Stabinska J, Zöllner HJ, Thiel TA, Wittsack HJ, Ljimani A. Image downsampling expedited adaptive least-squares (IDEAL) fitting improves intravoxel incoherent motion (IVIM) analysis in the human kidney. Magn Reson Med 2023; 89:1055-1067. [PMID: 36416075 DOI: 10.1002/mrm.29517] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/09/2022] [Revised: 10/13/2022] [Accepted: 10/14/2022] [Indexed: 11/24/2022]
Abstract
PURPOSE To improve the reliability of intravoxel incoherent motion (IVIM) model parameter estimation for the DWI in the kidney using a novel image downsampling expedited adaptive least-squares (IDEAL) approach. METHODS The robustness of IDEAL was investigated using simulated DW-MRI data corrupted with different levels of Rician noise. Subsequently, the performance of the proposed method was tested by fitting bi- and triexponential IVIM model to in vivo renal DWI data acquired on a clinical 3 Tesla MRI scanner and compared to conventional approaches (fixed D* and segmented fitting). RESULTS The numerical simulations demonstrated that the IDEAL algorithm provides robust estimates of the IVIM parameters in the presence of noise (SNR of 20) as indicated by relatively low absolute percentage bias (maximal sMdPB <20%) and normalized RMSE (maximal RMSE <28%). The analysis of the in vivo data showed that the IDEAL-based IVIM parameter maps were less noisy and more visually appealing than those obtained using the fixed D* and segmented methods. Further, coefficients of variation for nearly all IVIM parameters were significantly reduced in cortex and medulla for IDEAL-based biexponential (coefficients of variation: 4%-50%) and triexponential (coefficients of variation: 7.5%-75%) IVIM modelling compared to the segmented (coefficients of variation: 4%-120%) and fixed D* (coefficients of variation: 17%-174%) methods, reflecting greater accuracy of this method. CONCLUSION The proposed fitting algorithm yields more robust IVIM parameter estimates and is less susceptible to poor SNR than the conventional fitting approaches. Thus, the IDEAL approach has the potential to improve the reliability of renal DW-MRI analysis for clinical applications.
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Affiliation(s)
- Julia Stabinska
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, 21205, USA
- Division of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich-Heine University Dusseldorf, Düsseldorf, Germany
| | - Helge J Zöllner
- F.M. Kirby Research Center for Functional Brain Imaging, Kennedy Krieger Institute, Baltimore, MD, 21205, USA
- Division of MR Research, The Russell H. Morgan Department of Radiology and Radiological Science, The Johns Hopkins University School of Medicine, Baltimore, MD, 21205, USA
| | - Thomas A Thiel
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich-Heine University Dusseldorf, Düsseldorf, Germany
| | - Hans-Jörg Wittsack
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich-Heine University Dusseldorf, Düsseldorf, Germany
| | - Alexandra Ljimani
- Department of Diagnostic and Interventional Radiology, Medical Faculty, Heinrich-Heine University Dusseldorf, Düsseldorf, Germany
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Influence of Immunosuppressive Regimen on Diffusivity and Oxygenation of Kidney Transplants-Analysis of Functional MRI Data from the Randomized ZEUS Trial. J Clin Med 2022; 11:jcm11123284. [PMID: 35743353 PMCID: PMC9224619 DOI: 10.3390/jcm11123284] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/09/2022] [Revised: 06/03/2022] [Accepted: 06/06/2022] [Indexed: 02/08/2023] Open
Abstract
The ZEUS study was a multi-center randomized controlled trial investigating the effect of early conversion from a ciclosporin-based to an everolimus-based regimen on graft function twelve months post-transplantation. In this investigator-initiated sub-study, functional magnetic resonance imaging (fMRI) of kidney grafts was prospectively performed to non-invasively assess differences in graft oxygenation, diffusion and perfusion between groups and time-points using diffusion-weighted imaging (DWI) and blood oxygen level-dependent (BOLD)-MRI. Sixteen patients underwent DWI and BOLD-MRI at months 4.5 and 12 post-transplantation on a 3 Tesla and 1.5 Tesla (n = 3) MR scanner. After exclusion due to image quality, outlier values or missing data, DWI was analyzed for ten subjects; BOLD for eight subjects. The diffusion coefficient ADCD decreased in the CsA-treated group over time, whereas it increased in the EVE group (p = 0.046, medulla). The change in ADCD from months 4.5 to 12 significantly differed between groups in the cortex (p = 0.033) and medulla (p = 0.019). In BOLD, cortico-medullary transverse relaxation rate R2* increased (decreased tissue oxygen) in the CsA-treated and decreased in EVE-treated groups over time. Similarly, R2* values at month 12 were higher in the CsA-treated group compared to the EVE-treated group. There was no significant difference for the perfusion fraction FP. In conclusion, this prospective sub-study of the ZEUS trial suggests an impact of immunosuppressive regimen on fMRI parameters of the kidney graft.
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Jiang K, Ferguson CM, Grimm RC, Zhu X, Glockner JF, Lerman LO. Reliable Assessment of Swine Renal Fibrosis Using Quantitative Magnetization Transfer Imaging. Invest Radiol 2022; 57:334-342. [PMID: 34935650 PMCID: PMC8986560 DOI: 10.1097/rli.0000000000000843] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/20/2023]
Abstract
OBJECTIVES Quantitative magnetization transfer (qMT) is useful for measurement of murine renal fibrosis at high and ultrahigh field strengths. However, its utility at clinical field strengths and in human-like kidneys remains unknown. We tested the hypothesis that qMT would successfully detect fibrosis in swine kidneys with unilateral renal artery stenosis (RAS) at 3.0 T. METHODS The qMT protocol is composed of MT scans with variable flip angles and offset frequencies, and of B0, B1, and T1 mapping. Pigs were scanned 10 weeks after RAS or control. A 2-pool model was used to fit the bound pool fraction f of the renal cortex (CO) and outer medulla (OM). Then qMT-derived f in 5 normal and 10 RAS pigs was compared with histological fibrosis determined using Masson's trichrome staining and to renal perfusion assessed with computed tomography. RESULTS The qMT 2-pool model provided accurate fittings of data collected on swine kidneys. Stenotic kidneys showed significantly elevated f in both the CO (9.8% ± 2.7% vs 6.4% ± 0.9%, P = 0.002) and OM (7.6% ± 2.2% vs 4.7% ± 1.1%, P = 0.002), as compared with normal kidneys. Histology-measured renal fibrosis and qMT-derived f correlated directly in both the cortex (Pearson correlation coefficient r = 0.93, P < 0.001) and OM (r = 0.84, P = 0.002), and inversely with stenotic kidney perfusion (r = 0.85, P = 0.002). CONCLUSIONS This study demonstrates the feasibility of qMT for measuring fibrosis in human-like swine kidneys, and the association between tissue macromolecule content and renal perfusion. Therefore, qMT may be useful as a tool for noninvasive assessment of renal fibrosis in subjects with RAS at clinical field strengths.
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Affiliation(s)
- Kai Jiang
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Roger C. Grimm
- Department of Diagnostic Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Xiangyang Zhu
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - James F. Glockner
- Department of Diagnostic Radiology, Mayo Clinic, Rochester, Minnesota, USA
| | - Lilach O. Lerman
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
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Copur S, Yavuz F, Sag AA, Tuttle KR, Kanbay M. Future of kidney imaging: Functional magnetic resonance imaging and kidney disease progression. Eur J Clin Invest 2022; 52:e13765. [PMID: 35267195 DOI: 10.1111/eci.13765] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 02/10/2022] [Revised: 03/01/2022] [Accepted: 03/05/2022] [Indexed: 11/26/2022]
Abstract
INTRODUCTION Chronic kidney disease (CKD) which is a common cause of death has an increasing trend, but there is no established approach for predicting CKD progression yet. Functional magnetic resonance imaging (fMRI) studies such as blood oxygenation level-dependent MRI (BOLD-MRI), diffusion-weighted MRI (DWI-MRI), diffusion-tensor MRI (DTI-MRI) and arterial spin labelling MRI (ASL-MRI) are rising methods for the assessment of kidney functions in native and transplanted kidneys as well as the estimation of CKD progression. METHODS Systematic literature review was performed through the Embase (Elsevier), Cochrane Central Register of Controlled Trials (Wiley), PubMed/Medline and Web of Science databases, and studies investigating the role of fMRI methods assessing kidney functions in native and transplanted kidneys, as well as the value of fMRI methods to predict CKD progression, were included. Working mechanisms, advantages and limitations of the fMRI modalities were reviewed, and three studies investigating the role of fMRI studies in kidney functions were analysed. RESULTS AND CONCLUSION BOLD-MRI signal was found to be inversely correlated with annual eGFR change, and DWI/ADC (apparent diffusion coefficient map) values were shown to be correlated with annual eGFR decline. fMRI methods which are currently used for other systems can be utilized to provide more detailed information about kidney functions, and doctors should be ready to interpret kidney MRIs.
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Affiliation(s)
- Sidar Copur
- Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Furkan Yavuz
- Department of Medicine, Koc University School of Medicine, Istanbul, Turkey
| | - Alan A Sag
- Department of Radiology, Division of Vascular and Interventional Radiology, Duke University Medical Center, Durham, North Carolina, USA
| | - Kathherine R Tuttle
- Division of Nephrology, University of Washington, Seattle, Washington, USA.,Providence Medical Research Center, Providence Health Care, Washington, District of Columbia, USA
| | - Mehmet Kanbay
- Department of Medicine, Division of Nephrology, Koc University School of Medicine, Istanbul, Turkey
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Mani LY, Seif M, Nikles F, Tshering Vogel DW, Diserens G, Martirosian P, Burnier M, Vogt B, Vermathen P. Hip Position Acutely Affects Oxygenation and Perfusion of Kidney Grafts as Measured by Functional Magnetic Resonance Imaging Methods-The Bent Knee Study. Front Med (Lausanne) 2021; 8:697055. [PMID: 34447762 PMCID: PMC8384256 DOI: 10.3389/fmed.2021.697055] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/18/2021] [Accepted: 07/12/2021] [Indexed: 12/16/2022] Open
Abstract
Background: Kidney perfusion and oxygenation are two important determinants of kidney graft function. In kidney transplantation, repeated graft hypoperfusion may occur during hip flexion, for example in the sitting position, due to the progressive development of fibrotic tissue around iliac arteries. The aim of this study was to assess the changes in oxygenation and perfusion of kidney grafts during hip flexion and extension using a new functional magnetic resonance imaging (fMRI) protocol. Methods: Nineteen kidney graft recipients prospectively underwent MRI on a 3T scanner including diffusion-weighted, blood oxygenation level dependent (BOLD), and arterial spin labeling sequences in hip positions 0° and >90° before and after intravenous administration of 20 mg furosemide. Results: Unexpectedly, graft perfusion values were significantly higher in flexed compared to neutral hip position. Main diffusion-derived parameters were not affected by hip position. BOLD-derived cortico-medullary R2* ratio was significantly modified during hip flexion suggesting an intrarenal redistribution of the oxygenation in favor of the medulla and to the detriment of the cortex. Furthermore, the increase in medullary oxygenation induced by furosemide was significantly blunted during hip flexion (p < 0.001). Conclusion: Hip flexion has an acute impact on perfusion and tissue oxygenation in kidney grafts. Whether these position-dependent changes affect the long-term function and outcome of kidney transplants needs further investigation.
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Affiliation(s)
- Laila-Yasmin Mani
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Maryam Seif
- Departments of Biomedical Research and Radiology, University of Bern, Bern, Switzerland.,Spinal Cord Injury Center, Balgrist University Hospital, University of Zurich, Zurich, Switzerland
| | - Florence Nikles
- Departments of Biomedical Research and Radiology, University of Bern, Bern, Switzerland
| | - Dechen W Tshering Vogel
- Department of Diagnostic, Interventional and Pediatric Radiology, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Gaëlle Diserens
- Departments of Biomedical Research and Radiology, University of Bern, Bern, Switzerland
| | - Petros Martirosian
- Section on Experimental Radiology, University of Tübingen, Tübingen, Germany
| | - Michel Burnier
- Service of Nephrology and Hypertension, Department of Medicine, Lausanne University Hospital, Lausanne, Switzerland
| | - Bruno Vogt
- Department of Nephrology and Hypertension, Inselspital, Bern University Hospital, University of Bern, Bern, Switzerland
| | - Peter Vermathen
- Departments of Biomedical Research and Radiology, University of Bern, Bern, Switzerland
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Zheng X, Li M, Wang P, Li X, Zhang Q, Zeng S, Jiang T, Hu X. Assessment of chronic allograft injury in renal transplantation using diffusional kurtosis imaging. BMC Med Imaging 2021; 21:63. [PMID: 33827457 PMCID: PMC8028790 DOI: 10.1186/s12880-021-00595-3] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/27/2020] [Accepted: 03/28/2021] [Indexed: 11/12/2022] Open
Abstract
Background Chronic allograft injury (CAI) is a significant reason for which many grafts were lost. The study was conducted to assess the usefulness of diffusional kurtosis imaging (DKI) technology in the non-invasive assessment of CAI. Methods Between February 2019 and October 2019, 110 renal allograft recipients were included to analyze relevant DKI parameters. According to estimated glomerular filtration rate (eGFR) (mL/min/ 1.73 m2) level, they were divided to 3 groups: group 1, eGFR ≥ 60 (n = 10); group 2, eGFR 30–60 (n = 69); group 3, eGFR < 30 (n = 31). We performed DKI on a clinical 3T magnetic resonance imaging system. We measured the area of interest to determine the mean kurtosis (MK), mean diffusivity (MD), and apparent diffusion coefficient (ADC) of the renal cortex and medulla. We performed a Pearson correlation analysis to determine the relationship between eGFR and the DKI parameters. We used the receiver operating characteristic curve to estimate the predicted values of DKI parameters in the CAI evaluation. We randomly selected five patients from group 2 for biopsy to confirm CAI. Results With the increase of creatinine, ADC, and MD of the cortex and medulla decrease, MK of the cortex and medulla gradually increase. Among the three different eGFR groups, significant differences were found in cortical and medullary MK (P = 0.039, P < 0.001, P < 0.001, respectively). Cortical and medullary ADC and MD are negatively correlated with eGFR (r = − 0.49, − 0.44, − 0.57, − 0.57, respectively; P < 0.001), while cortical and medullary MK are positively correlated with eGFR (r = 0.42, 0.38; P < 0.001). When 0.491 was set as the cutoff value, MK's CAI assessment showed 87% sensitivity and 100% specificity. All five patients randomly selected for biopsy from the second group confirmed glomerulosclerosis and tubular atrophy/interstitial fibrosis. Conclusion The DKI technique is related to eGFR as allograft injury progresses and is expected to become a potential non-invasive method for evaluating CAI. Supplementary Information The online version contains supplementary material available at 10.1186/s12880-021-00595-3.
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Affiliation(s)
- Xin Zheng
- Department of Urology, Beijing Youan Hospital, Capital Medical University, No. 8, Xi Tou Tiao, Youanmen Wai, Fengtai District, Beijing, 100069, People's Republic of China
| | - Min Li
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 200020, People's Republic of China
| | - Pan Wang
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 200020, People's Republic of China
| | - Xiangnan Li
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 200020, People's Republic of China
| | - Qiang Zhang
- Institute of Urology, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 200020, People's Republic of China.,Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 200020, People's Republic of China
| | - Song Zeng
- Institute of Urology, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 200020, People's Republic of China.,Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 200020, People's Republic of China
| | - Tao Jiang
- Department of Radiology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 200020, People's Republic of China.
| | - Xiaopeng Hu
- Institute of Urology, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 200020, People's Republic of China. .,Department of Urology, Beijing Chao-Yang Hospital, Capital Medical University, 8 Gongren Tiyuchang Nanlu, Chaoyang District, Beijing, 200020, People's Republic of China.
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Yu YM, Wang W, Wen J, Zhang Y, Lu GM, Zhang LJ. Detection of renal allograft fibrosis with MRI: arterial spin labeling outperforms reduced field-of-view IVIM. Eur Radiol 2021; 31:6696-6707. [PMID: 33738596 DOI: 10.1007/s00330-021-07818-9] [Citation(s) in RCA: 11] [Impact Index Per Article: 3.7] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/01/2020] [Revised: 01/27/2021] [Accepted: 02/19/2021] [Indexed: 10/21/2022]
Abstract
OBJECTIVE To compare the value of reduced field-of-view (FOV) intravoxel incoherent motion (IVIM) diffusion-weighted imaging (DWI) and arterial spin labeling (ASL) for assessing renal allograft fibrosis and predicting long-term dysfunction. METHODS This prospective study included 175 renal transplant recipients undergoing reduced FOV IVIM DWI, ASL, and biopsies. Renal allograft fibrosis was categorized into ci0, ci1, ci2, and ci3 fibrosis according to biopsy results. A total of 83 participants followed for a median of 39 (IQR, 21-42) months were dichotomized into stable and impaired allograft function groups based on follow-up estimated glomerular filtration rate. Total apparent diffusion coefficient (ADCT), pure diffusion ADC, pseudo-perfusion ADC, perfusion fraction f from IVIM DWI, and renal blood flow (RBF) from ASL were calculated and compared. The area under the receiver operating characteristic curve (AUC) was calculated to assess the diagnostic and predictive performances. RESULTS RBF was different in ci0 vs ci1 (147.9 ± 46.3 vs 126.0 ± 49.4 ml/min/100 g, p = .02) and ci2 vs ci3 (92.9 ± 46.9 vs 70.8 ± 37.8 ml/min/100 g, p = .03). RBF in the stable group was higher than that in the impaired group (144.73 ± 49.33 vs 102.19 ± 47.58 ml/min/100 g, p < .001). AUCs in distinguishing renal allograft fibrosis and predicting long-term allograft dysfunction for RBF were higher than cortical ADCT (ci0 vs ci1-3, 0.76 vs 0.59, p < .001; ci0-1 vs ci2-3, 0.79 vs 0.68, p = .01; ci0-2 vs ci3, 0.79 vs 0.68, p = .01; 0.76 vs 0.60, p = .04, respectively). CONCLUSION Compared to reduced FOV IVIM DWI, ASL was a more promising technique for noninvasively distinguishing renal allograft fibrosis degree and predicting long-term allograft dysfunction. KEY POINTS • Compared to total ADC from rFOV IVIM DWI, RBF from ASL can distinguish no fibrosis (ci0) vs mild fibrosis (ci1) (p = .02) and moderate fibrosis (ci2) vs severe fibrosis (ci3) (p = .04). • RBF had superior performance than diffusion parameters in discriminating fibrosis (no fibrosis [ci0] vs fibrosis [ci1-3], mild fibrosis [ci0-1] vs moderate to severe fibrosis [ci2-3], non-severe [ci0-2] vs severe [ci3] fibrosis; AUC = 0.76 vs 0.59, p < .001; 0.79 vs 0.68, p = .01; 0.79 vs 0.68, p = .01). • Compared to reduced FOV IVIM DWI, ASL was a more promising technique for noninvasively predicting long-term allograft dysfunction (AUC = 0.76 vs 0.60, p = .04).
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Affiliation(s)
- Yuan Meng Yu
- Department of Medical Imaging, Jinling Hospital, Clinical School of Southern Medical University, Nanjing, 210002, Jiangsu, China.,Department of MRI, The First People's Hospital of Yunnan Province, The Affiliated Hospital of Kunming University of Science and Technology, No. 157 Jinbi Road, Kunming, 650032, Yunnan, China
| | - Wei Wang
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing Medical University, 305 East Zhong Shan Road, Nanjing, 210002, China.,Department of Nephrology, Shanghai General Hospital, Shanghai JiaoTong University School of Medicine, Shanghai, China
| | - Jiqiu Wen
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Nanjing Medical University, 305 East Zhong Shan Road, Nanjing, 210002, China
| | - Yong Zhang
- MR Research, GE Healthcare, Shanghai, 201203, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, Clinical School of Southern Medical University, Nanjing, 210002, Jiangsu, China.,Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Clinical School of Southern Medical University, Nanjing, 210002, Jiangsu, China. .,Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, 210002, Jiangsu, China.
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Zhang J, Yu Y, Liu X, Tang X, Xu F, Zhang M, Xie G, Zhang L, Li X, Liu ZH. Evaluation of Renal Fibrosis by Mapping Histology and Magnetic Resonance Imaging. KIDNEY DISEASES 2021; 7:131-142. [PMID: 33824869 DOI: 10.1159/000513332] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/22/2020] [Accepted: 11/24/2020] [Indexed: 12/15/2022]
Abstract
Background Renal fibrosis is a key driver of progression in chronic kidney disease (CKD). Recent advances in diagnostic imaging techniques have shown promising results for the noninvasive assessment of renal fibrosis. However, the specificity and accuracy of these techniques are controversial because they indirectly assess renal fibrosis. This limits fibrosis assessment by imaging in CKD for clinical practice. To validate magnetic resonance imaging (MRI) assessment for fibrosis, we derived representative models by mapping histology-proven renal fibrosis and imaging in CKD. Methods Ninety-seven adult Chinese CKD participants with histology were studied. The kidney cortex interstitial extracellular matrix volume was calculated by the Aperio ScanScope system using Masson's trichrome slices. The kidney cortex microcirculation was quantitatively assessed by peritubular capillary density using CD34 staining. The imaging techniques included intravoxel incoherent motion diffusion-weighted imaging and magnetic resonance elastography (MRE) imaging. Relevant analyses were performed to evaluate the correlations between MRI parameters and histology variables. Multiple linear regression models were used to describe the relationships between a response variable and other variables. The best-fit lines, which minimize the sum of squared residuals of the multiple linear regression models, were generated. Results MRE values were negatively associated with the interstitial extracellular matrix volume (Rho = -0.397, p < 0.001). The best mapping model of extracellular matrix volume with the MRE value and estimated glomerular filtration rate (eGFR) we obtained was as follows: Interstitial extracellular matrix volume = 218.504 - 14.651 × In(MRE) - 18.499 × In(eGFR). DWI-fraction values were positively associated with peritubular capillary density (Rho = 0.472, p < 0.001). The best mapping model of peritubular capillary density with DWI-fraction value and eGFR was as follows: Peritubular capillaries density = 17.914 + 9.403 × (DWI - fraction) + 0.112 × (eGFR). Conclusions The study provides histological evidence to support that MRI can effectively evaluate fibrosis in the kidney. These findings picture the graphs of the mapping model from imaging and eGFR into fibrosis, which has significant value for clinical implementation.
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Affiliation(s)
- Jiong Zhang
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Second Military Medical University, Nanjing, China
| | - Yuanmeng Yu
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | | | - Xiong Tang
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Second Military Medical University, Nanjing, China
| | - Feng Xu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Second Military Medical University, Nanjing, China
| | - Mingchao Zhang
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Second Military Medical University, Nanjing, China
| | - Guotong Xie
- Ping An Healthcare Technology, Ping An Health Cloud Company Limited, Ping An International Smart City Technology Co., Ltd., Beijing, China
| | - Longjiang Zhang
- Department of Medical Imaging, Jinling Hospital, Nanjing University School of Medicine, Nanjing, China
| | - Xiang Li
- Ping An Health Technology, Beijing, China
| | - Zhi-Hong Liu
- National Clinical Research Center of Kidney Diseases, Jinling Hospital, Second Military Medical University, Nanjing, China
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Renal Diffusion-Weighted Imaging (DWI) for Apparent Diffusion Coefficient (ADC), Intravoxel Incoherent Motion (IVIM), and Diffusion Tensor Imaging (DTI): Basic Concepts. Methods Mol Biol 2021; 2216:187-204. [PMID: 33476001 PMCID: PMC9703200 DOI: 10.1007/978-1-0716-0978-1_11] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/30/2023]
Abstract
The specialized function of the kidney is reflected in its unique structure, characterized by juxtaposition of disorganized and ordered elements, including renal glomerula, capillaries, and tubules. The key role of the kidney in blood filtration, and changes in filtration rate and blood flow associated with pathological conditions, make it possible to investigate kidney function using the motion of water molecules in renal tissue. Diffusion-weighted imaging (DWI) is a versatile modality that sensitizes observable signal to water motion, and can inform on the complexity of the tissue microstructure. Several DWI acquisition strategies are available, as are different analysis strategies, and models that attempt to capture not only simple diffusion effects, but also perfusion, compartmentalization, and anisotropy. This chapter introduces the basic concepts of DWI alongside common acquisition schemes and models, and gives an overview of specific DWI applications for animal models of renal disease.This chapter is based upon work from the COST Action PARENCHIMA, a community-driven network funded by the European Cooperation in Science and Technology (COST) program of the European Union, which aims to improve the reproducibility and standardization of renal MRI biomarkers. This introduction chapter is complemented by two separate chapters describing the experimental procedure and data analysis.
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Jiang K, Fang Y, Ferguson CM, Tang H, Mishra PK, Macura SI, Lerman LO. Quantitative Magnetization Transfer Detects Renal Fibrosis in Murine Kidneys With Renal Artery Stenosis. J Magn Reson Imaging 2020; 53:10.1002/jmri.27370. [PMID: 32964585 PMCID: PMC7965778 DOI: 10.1002/jmri.27370] [Citation(s) in RCA: 4] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 07/01/2020] [Revised: 09/02/2020] [Accepted: 09/03/2020] [Indexed: 12/11/2022] Open
Abstract
BACKGROUND Renal fibrosis is a common pathway in tubulointerstitial injury and a major determinant of renal insufficiency. Collagen deposition, a key feature of renal fibrosis, may serve as an imaging biomarker to differentiate scarred from healthy kidneys. PURPOSE To test the feasibility of using quantitative magnetization transfer (qMT), which assesses tissue macromolecule content, to measure renal fibrosis. STUDY TYPE Prospective. ANIMAL MODEL Fifteen 129S1 mice were studied 4 weeks after either sham (n = 7) or unilateral renal artery stenosis (RAS, n = 8) surgeries. FIELD STRENGTH/SEQUENCE Magnetization transfer (MT)-weighted images were acquired at 16.4T using an MT-prepared fast-low-angle-shot sequence. Renal B0, B1, and T1 maps were also acquired, using a dual-echo gradient echo, an actual flip angle, and inversion recovery method, respectively. ASSESSMENT A two-pool model was used to estimate the bound water fraction (f) and other tissue imaging biomarkers. Masson's trichrome staining was subsequently performed ex vivo to evaluate renal fibrosis. STATISTICAL TESTS Comparisons of renal parameters between sham and RAS were performed using independent samples t-tests. Pearson's correlation was conducted to investigate the relationship between renal fibrosis by histology and the qMT-derived bound pool fraction f. RESULTS The two-pool model provided accurate fittings of measured MT signal. The qMT-derived f of RAS kidneys was significantly increased compared to sham in all kidney zones (renal cortex [CO], 7.6 ± 2.4% vs. 4.6 ± 0.6%; outer medulla [OM], 8.2 ± 4.2% vs. 4.2 ± 0.9%; inner medulla [IM] + P, 5.8 ± 1.6% vs. 2.9 ± 0.6%, all P < 0.05). Measured f correlated well with histological fibrosis in all kidney zones (CO, Pearson's correlation coefficient r = 0.95; OM, r = 0.93; IM + P, r = 0.94, all P < 0.05). DATA CONCLUSION The bound pool fraction f can be quantified using qMT at 16.4T in murine kidneys, increases significantly in fibrotic RAS kidneys, and correlates well with fibrosis by histology. Therefore, qMT may constitute a valuable tool for measuring renal fibrosis in RAS. LEVEL OF EVIDENCE 1 TECHNICAL EFFICACY STAGE: 3.
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Affiliation(s)
- Kai Jiang
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Yiyuan Fang
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | | | - Hui Tang
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
| | - Prasanna K. Mishra
- Biochemistry and Molecular Biology, Mayo Clinic, Rochester, Minnesota, USA
| | - Slobodan I. Macura
- Biochemistry and Molecular Biology, Mayo Clinic, Rochester, Minnesota, USA
| | - Lilach O. Lerman
- Division of Nephrology and Hypertension, Mayo Clinic, Rochester, Minnesota, USA
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11
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Yu YM, Ni QQ, Wang ZJ, Chen ML, Zhang LJ. Multiparametric Functional Magnetic Resonance Imaging for Evaluating Renal Allograft Injury. Korean J Radiol 2020; 20:894-908. [PMID: 31132815 PMCID: PMC6536799 DOI: 10.3348/kjr.2018.0540] [Citation(s) in RCA: 17] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/08/2018] [Accepted: 12/19/2018] [Indexed: 02/06/2023] Open
Abstract
Kidney transplantation is the treatment of choice for patients with end-stage renal disease, as it extends survival and increases quality of life in these patients. However, chronic allograft injury continues to be a major problem, and leads to eventual graft loss. Early detection of allograft injury is essential for guiding appropriate intervention to delay or prevent irreversible damage. Several advanced MRI techniques can offer some important information regarding functional changes such as perfusion, diffusion, structural complexity, as well as oxygenation and fibrosis. This review highlights the potential of multiparametric MRI for noninvasive and comprehensive assessment of renal allograft injury.
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Affiliation(s)
- Yuan Meng Yu
- Department of Medical Imaging, Jinling Hospital, Clinical School of Southern Medical University, Nanjing, China
| | - Qian Qian Ni
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China
| | - Zhen Jane Wang
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Meng Lin Chen
- Medical Imaging Teaching and Research Office, Nanfang Hospital, Southern Medical University, Guangzhou, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, Medical School of Nanjing University, Nanjing, China.
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12
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Mishima E, Ota H, Suzuki T, Toyohara T, Seiji K, Ito S, Saiki Y, Takase K, Abe T. Apparent Diffusion Coefficient in the Resolution of Renal Ischemia after Angioplasty on Diffusion-weighted Imaging: Renal Artery Stenosis Caused by Progressive Thrombosis in Residual Chronic Aortic Dissection. Intern Med 2020; 59:1173-1177. [PMID: 31956203 PMCID: PMC7270755 DOI: 10.2169/internalmedicine.3855-19] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Indexed: 11/06/2022] Open
Abstract
We report a case in which diffusion-weighted magnetic resonance imaging (DWI) demonstrated renal artery stenosis-related renal ischemia and the therapeutic efficacy of revascularization. The patient was a 73-year-old man, who underwent descending thoracic aortic replacement due to DeBakey IIIb chronic aortic dissection, and who showed progressive renal dysfunction due to right renal artery stenosis caused by false lumen thrombosis. DWI demonstrated a decreased apparent diffusion coefficient (ADC) in the right kidney, indicating renal ischemia. Angioplasty with stenting restored renal perfusion and improved the renal function, resulting in the normalization of the decreased ADC in the treated kidney. Thus, DWI can be used to monitor renal ischemia in cases involving advanced renal artery stenosis.
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Affiliation(s)
- Eikan Mishima
- Division of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University Graduate School of Medicine, Japan
| | - Hideki Ota
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Japan
| | - Takehiro Suzuki
- Division of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University Graduate School of Medicine, Japan
| | - Takafumi Toyohara
- Division of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University Graduate School of Medicine, Japan
| | - Kazumasa Seiji
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Japan
| | | | - Yoshikatsu Saiki
- Division of Cardiovascular Surgery, Tohoku University Graduate School of Medicine, Japan
| | - Kei Takase
- Department of Diagnostic Radiology, Tohoku University Graduate School of Medicine, Japan
| | - Takaaki Abe
- Division of Nephrology, Endocrinology, and Vascular Medicine, Tohoku University Graduate School of Medicine, Japan
- Division of Medical Science, Tohoku University Graduate School of Biomedical Engineering, Japan
- Department of Clinical Biology and Hormonal Regulation, Tohoku University Graduate School of Medicine, Japan
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13
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Schutter R, Lantinga VA, Borra RJH, Moers C. MRI for diagnosis of post-renal transplant complications: current state-of-the-art and future perspectives. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2019; 33:49-61. [PMID: 31879853 DOI: 10.1007/s10334-019-00813-8] [Citation(s) in RCA: 7] [Impact Index Per Article: 1.4] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Subscribe] [Scholar Register] [Received: 07/12/2019] [Revised: 10/27/2019] [Accepted: 11/30/2019] [Indexed: 02/07/2023]
Abstract
Kidney transplantation has developed into a widespread procedure to treat end stage renal failure, with transplantation results improving over the years. Postoperative complications have decreased over the past decades, but are still an important cause of morbidity and mortality. Early accurate diagnosis and treatment is the key to prevent renal allograft impairment or even graft loss. Ideally, a diagnostic tool should be able to detect post-transplant renal dysfunction, differentiate between the different causes and monitor renal function during and after therapeutic interventions. Non-invasive imaging modalities for diagnostic purposes show promising results. Magnetic resonance imaging (MRI) techniques have a number of advantages, such as the lack of ionizing radiation and the possibility to obtain relevant tissue information without contrast, reducing the risk of contrast-induced nephrotoxicity. However, most techniques still lack the specificity to distinguish different types of parenchymal diseases. Despite some promising outcomes, MRI is still barely used in the post-transplantation diagnostic process. The aim of this review is to survey the current literature on the relevance and clinical applicability of diagnostic MRI modalities for the detection of various types of complications after kidney transplantation.
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Affiliation(s)
- Rianne Schutter
- University Medical Center Groningen, University of Groningen, Groningen, Netherlands.
| | - Veerle A Lantinga
- University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Ronald J H Borra
- University Medical Center Groningen, University of Groningen, Groningen, Netherlands
| | - Cyril Moers
- University Medical Center Groningen, University of Groningen, Groningen, Netherlands
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14
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Ljimani A, Caroli A, Laustsen C, Francis S, Mendichovszky IA, Bane O, Nery F, Sharma K, Pohlmann A, Dekkers IA, Vallee JP, Derlin K, Notohamiprodjo M, Lim RP, Palmucci S, Serai SD, Periquito J, Wang ZJ, Froeling M, Thoeny HC, Prasad P, Schneider M, Niendorf T, Pullens P, Sourbron S, Sigmund EE. Consensus-based technical recommendations for clinical translation of renal diffusion-weighted MRI. MAGNETIC RESONANCE MATERIALS IN PHYSICS BIOLOGY AND MEDICINE 2019; 33:177-195. [PMID: 31676990 PMCID: PMC7021760 DOI: 10.1007/s10334-019-00790-y] [Citation(s) in RCA: 26] [Impact Index Per Article: 5.2] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Subscribe] [Scholar Register] [Received: 08/06/2019] [Revised: 10/17/2019] [Accepted: 10/19/2019] [Indexed: 12/13/2022]
Abstract
Objectives Standardization is an important milestone in the validation of DWI-based parameters as imaging biomarkers for renal disease. Here, we propose technical recommendations on three variants of renal DWI, monoexponential DWI, IVIM and DTI, as well as associated MRI biomarkers (ADC, D, D*, f, FA and MD) to aid ongoing international efforts on methodological harmonization. Materials and methods Reported DWI biomarkers from 194 prior renal DWI studies were extracted and Pearson correlations between diffusion biomarkers and protocol parameters were computed. Based on the literature review, surveys were designed for the consensus building. Survey data were collected via Delphi consensus process on renal DWI preparation, acquisition, analysis, and reporting. Consensus was defined as ≥ 75% agreement. Results Correlations were observed between reported diffusion biomarkers and protocol parameters. Out of 87 survey questions, 57 achieved consensus resolution, while many of the remaining questions were resolved by preference (65–74% agreement). Summary of the literature and survey data as well as recommendations for the preparation, acquisition, processing and reporting of renal DWI were provided. Discussion The consensus-based technical recommendations for renal DWI aim to facilitate inter-site harmonization and increase clinical impact of the technique on a larger scale by setting a framework for acquisition protocols for future renal DWI studies. We anticipate an iterative process with continuous updating of the recommendations according to progress in the field. Electronic supplementary material The online version of this article (10.1007/s10334-019-00790-y) contains supplementary material, which is available to authorized users.
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Affiliation(s)
- Alexandra Ljimani
- Department of Diagnostic and Interventional Radiology, Medical Faculty, University Dusseldorf, Moorenstr. 5, 40225, Düsseldorf, Germany.
| | - Anna Caroli
- Department of Biomedical Engineering, Istituto di Ricerche Farmacologiche Mario Negri IRCCS, Bergamo, Italy
| | - Christoffer Laustsen
- MR Research Centre, Department of Clinical Medicine, Aarhus University, Aarhus, Denmark
| | - Susan Francis
- Sir Peter Mansfield Imaging Centre, University Park, University of Nottingham, Nottingham, NG7 2RD, UK
| | | | - Octavia Bane
- Translational and Molecular Imaging Institute and Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, NY, USA
| | - Fabio Nery
- Developmental Imaging and Biophysics Section, UCL Great Ormond Street Institute of Child Health, London, UK
| | - Kanishka Sharma
- Imaging Biomarkers Group, Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK
| | - Andreas Pohlmann
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
| | - Ilona A Dekkers
- Department of Radiology, Leiden University Medical Center, Leiden, The Netherlands
| | - Jean-Paul Vallee
- Department of Diagnostic, Geneva University Hospital and University of Geneva, 1211, Geneva-14, Switzerland
| | - Katja Derlin
- Department of Radiology, Hannover Medical School, Hannover, Germany
| | - Mike Notohamiprodjo
- Die Radiologie, Munich, Germany.,Department of Radiology, University Hospital Tuebingen, Tübingen, Germany
| | - Ruth P Lim
- Department of Radiology, Austin Health, The University of Melbourne, Melbourne, Australia
| | - Stefano Palmucci
- Department of Medical Surgical Sciences and Advanced Technologies, Radiology I Unit, University Hospital "Policlinico-Vittorio Emanuele", University of Catania, Catania, Italy
| | - Suraj D Serai
- Department of Radiology, Children's Hospital of Philadelphia, Philadelphia, PA, USA
| | - Joao Periquito
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
| | - Zhen Jane Wang
- Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, CA, USA
| | - Martijn Froeling
- Department of Radiology, University Medical Center Utrecht, Utrecht, The Netherlands
| | - Harriet C Thoeny
- Department of Radiology, Hôpital Cantonal Fribourgois (HFR), University of Fribourg, 1708, Fribourg, Switzerland
| | - Pottumarthi Prasad
- Department of Radiology, Center for Advanced Imaging, NorthShore University Health System, Evanston, IL, USA
| | - Moritz Schneider
- Department of Radiology, University Hospital, LMU Munich, Munich, Germany.,Comprehensive Pneumology Center, German Center for Lung Research, Munich, Germany
| | - Thoralf Niendorf
- Berlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck Center for Molecular Medicine in the Helmholtz Association, 13125, Berlin, Germany
| | - Pim Pullens
- Ghent Institute for Functional and Metabolic Imaging, Ghent University, Ghent, Belgium.,Department of Radiology, University Hospital Ghent, Ghent, Belgium
| | - Steven Sourbron
- Imaging Biomarkers Group, Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK
| | - Eric E Sigmund
- Department of Radiology, Center for Biomedical Imaging (CBI), Center for Advanced Imaging Innovation and Research (CAI2R), NYU Langone Health, New York, NY, USA
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15
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Chen L, Ren T, Zuo P, Fu Y, Xia S, Shen W. Detecting impaired function of renal allografts at the early stage after transplantation using intravoxel incoherent motion imaging. Acta Radiol 2019; 60:1039-1047. [PMID: 30450922 DOI: 10.1177/0284185118810979] [Citation(s) in RCA: 4] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022]
Abstract
Background Detecting renal allografts with impaired function early after renal transplantation and timely intervention are important to ensure a successful outcome. Purpose To detect impaired function of renal allografts at the early stage after renal transplantation using intravoxel incoherent motion imaging (IVIM). Material and Methods Forty-six recipients with good allograft function and 32 recipients with impaired function were included in this study. All participants were scanned with IVIM using 11 b-values on a 3-T magnetic resonance (MR) scanner; the apparent diffusion coefficient (ADC), ADC of slow diffusion (ADCslow), pseudo-diffusion (ADCfast), and perfusion fraction (f) values were calculated using a full bi-exponential model. Correlations between estimated glomerular filtration rate (eGFR) and the IVIM parameters were assessed by using Spearman correlation analysis. Receiver operating characteristics were used to assess the diagnostic utilities for detecting allografts with impaired function. Results The ADC, ADCslow, ADCfast, and f values of the renal cortex and the ADC and ADCslow values of the renal medulla were significantly higher in allografts with good function compared to those with impaired function (all P < 0.05). There was a significant corticomedullary difference in ADCslow, ADC, and f in all allografts. ADCfast values were higher in the cortex than in the medulla for allografts with good function but no differences were seen in allografts with impaired function ( P > 0.05). Combined use of all cortical IVIM parameters has higher efficacy in detecting renal allograft dysfunction than any single parameter (sensitivity = 90.62%; specificity = 78.26%). Conclusion IVIM technique may be useful for detecting renal allograft dysfunction, especially combined use of cortical parameters.
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Affiliation(s)
- Lihua Chen
- Department of Radiology, Tianjin Clinical Research Center for Organ Transplantation, Tianjin First Centre Hospital, Tianjin, PR China
| | - Tao Ren
- Department of Radiology, Tianjin Clinical Research Center for Organ Transplantation, Tianjin First Centre Hospital, Tianjin, PR China
| | - Panli Zuo
- MR Collaborations NE Asia, Siemens Healthcare China, Beijing, PR China
| | - Yingxin Fu
- Department of Kidney Transplantation, Tianjin Clinical Research Center for Organ Transplantation, Tianjin First Centre Hospital, Tianjin, PR China
| | - Shuang Xia
- Department of Radiology, Tianjin Clinical Research Center for Organ Transplantation, Tianjin First Centre Hospital, Tianjin, PR China
| | - Wen Shen
- Department of Radiology, Tianjin Clinical Research Center for Organ Transplantation, Tianjin First Centre Hospital, Tianjin, PR China
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16
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Sulkowska K, Palczewski P, Wojcik D, Ciszek M, Sanko-Resmer J, Wojtowicz J, Leszkiewicz M, Golebiowski M. Intravoxel incoherent motion imaging in monitoring the function of kidney allograft. Acta Radiol 2019; 60:925-932. [PMID: 30244589 DOI: 10.1177/0284185118802598] [Citation(s) in RCA: 8] [Impact Index Per Article: 1.6] [Reference Citation Analysis] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/19/2022]
Affiliation(s)
- Katarzyna Sulkowska
- Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
| | - Piotr Palczewski
- Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
| | - Damian Wojcik
- Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
| | - Michal Ciszek
- Department of Immunology, Transplantology and Internal Diseases, Transplantation Institute, Medical University of Warsaw, Warsaw, Poland
| | - Joanna Sanko-Resmer
- Department of Immunology, Transplantology and Internal Diseases, Transplantation Institute, Medical University of Warsaw, Warsaw, Poland
| | - Joanna Wojtowicz
- Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
| | - Marek Leszkiewicz
- Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
| | - Marek Golebiowski
- Department of Clinical Radiology, Medical University of Warsaw, Warsaw, Poland
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17
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Rojas-Canales DM, Li JY, Makuei L, Gleadle JM. Compensatory renal hypertrophy following nephrectomy: When and how? Nephrology (Carlton) 2019; 24:1225-1232. [PMID: 30809888 DOI: 10.1111/nep.13578] [Citation(s) in RCA: 19] [Impact Index Per Article: 3.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Accepted: 02/24/2019] [Indexed: 12/16/2022]
Abstract
Following surgical removal of one kidney, the other enlarges and increases its function. The mechanism for the sensing of this change and the growth is incompletely understood but begins within days and compensatory renal hypertrophy (CRH) is the dominant contributor to the growth. In many individuals undergoing nephrectomy for cancer or kidney donation this produces a substantial and helpful increase in renal function. Two main mechanisms have been proposed, one in which increased activity by the remaining kidney leads to hypertrophy, the second in which there is release of a kidney specific factor in response to a unilateral nephrectomy that initiates CRH. Whilst multiple growth factors and pathways such as the mTORC pathway have been implicated in experimental studies, their roles and the precise mechanism of CRH are not defined. Unrestrained hypoxia inducible factor activation in renal cancer promotes growth and may play an important role in driving CRH.
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Affiliation(s)
- Darling M Rojas-Canales
- College of Medicine and Public Health and Medicine, Flinders University, Adelaide, South Australia, Australia.,Department of Renal Medicine, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Jordan Y Li
- College of Medicine and Public Health and Medicine, Flinders University, Adelaide, South Australia, Australia.,Department of Renal Medicine, Flinders Medical Centre, Adelaide, South Australia, Australia
| | - Leek Makuei
- College of Medicine and Public Health and Medicine, Flinders University, Adelaide, South Australia, Australia
| | - Jonathan M Gleadle
- College of Medicine and Public Health and Medicine, Flinders University, Adelaide, South Australia, Australia.,Department of Renal Medicine, Flinders Medical Centre, Adelaide, South Australia, Australia
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18
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Abstract
Renal transplantation is the therapy of choice for patients with end-stage renal diseases. Improvement of immunosuppressive therapy has significantly increased the half-life of renal allografts over the past decade. Nevertheless, complications can still arise. An early detection of allograft dysfunction is mandatory for a good outcome. New advances in magnetic resonance imaging (MRI) have enabled the noninvasive assessment of different functional renal parameters in addition to anatomic imaging. Most of these techniques were widely tested on renal allografts in past decades and a lot of clinical data are available. The following review summarizes the comprehensive, functional MRI techniques for the noninvasive assessment of renal allograft function and highlights their potential for the investigations of different etiologies of graft dysfunction.
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19
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Jiang K, Ferguson CM, Woollard JR, Zhu X, Lerman LO. Magnetization Transfer Magnetic Resonance Imaging Noninvasively Detects Renal Fibrosis in Swine Atherosclerotic Renal Artery Stenosis at 3.0 T. Invest Radiol 2018; 52:686-692. [PMID: 28542095 DOI: 10.1097/rli.0000000000000390] [Citation(s) in RCA: 26] [Impact Index Per Article: 4.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/31/2022]
Abstract
OBJECTIVES Renal fibrosis is a useful biomarker for diagnosis and evaluation of therapeutic interventions of renal diseases but often requires invasive testing. Magnetization transfer magnetic resonance imaging (MT-MRI), which evaluates the presence of macromolecules, offers a noninvasive tool to probe renal fibrosis in murine renal artery stenosis (RAS) at 16.4 T. In this study, we aimed to identify appropriate imaging parameters for collagen detection at 3.0 T MRI and to test the utility of MT-MRI in measuring renal fibrosis in a swine model of atherosclerotic RAS (ARAS). MATERIALS AND METHODS To select the appropriate offset frequency, an MT-MRI study was performed on a phantom containing 0% to 40% collagen I and III with offset frequencies from -1600 to +1600 Hz and other MT parameters empirically set as pulse width at 16 milliseconds and flip angle at 800 degrees. Then selected MT parameters were used in vivo on pigs 12 weeks after sham (n = 8) or RAS (n = 10) surgeries. The ARAS pigs were fed with high-cholesterol diet to induce atherosclerosis. The MT ratio (MTR) was compared with ex vivo renal fibrosis measured using Sirius-red staining. RESULTS Offset frequencies at 600 and 1000 Hz were selected for collagen detection without direct saturation of free water signal, and subsequently applied in vivo. The ARAS kidneys showed mild cortical and medullary fibrosis by Sirius-red staining. The cortical and medullary MTRs at 600 and 1000 Hz were both increased. Renal fibrosis measured ex vivo showed good linear correlations with MTR at 600 (cortex: Pearson correlation coefficient r = 0.87, P < 0.001; medulla: r = 0.70, P = 0.001) and 1000 Hz (cortex: r = 0.75, P < 0.001; medulla: r = 0.83, P < 0.001). CONCLUSIONS Magnetization transfer magnetic resonance imaging can noninvasively detect renal fibrosis in the stenotic swine kidney at 3.0 T. Therefore, MT-MRI may potentially be clinically applicable and useful for detection and monitoring of renal pathology in subjects with RAS.
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Affiliation(s)
- Kai Jiang
- From the Division of Nephrology and Hypertension, Mayo Clinic, Rochester, MN
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20
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Taffel MT, Nikolaidis P, Beland MD, Blaufox MD, Dogra VS, Goldfarb S, Gore JL, Harvin HJ, Heilbrun ME, Heller MT, Khatri G, Preminger GM, Purysko AS, Smith AD, Wang ZJ, Weinfeld RM, Wong-You-Cheong JJ, Remer EM, Lockhart ME. ACR Appropriateness Criteria ® Renal Transplant Dysfunction. J Am Coll Radiol 2018; 14:S272-S281. [PMID: 28473084 DOI: 10.1016/j.jacr.2017.02.034] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2017] [Revised: 02/20/2017] [Accepted: 02/21/2017] [Indexed: 02/06/2023]
Abstract
Renal transplantation is the treatment of choice in patients with end-stage renal disease because the 5-year survival rates range from 72% to 99%. Although graft survival has improved secondary to the introduction of newer immunosuppression drugs and the advancements in surgical technique, various complications still occur. Ultrasound is the first-line imaging modality for the evaluation of renal transplants in the immediate postoperative period and for long-term follow-up. In addition to depicting many of the potential complications of renal transplantation, ultrasound can also guide therapeutic interventions. Nuclear medicine studies, CT, and MRI are often helpful as complementary examinations for specific indications. Angiography remains the reference standard for vascular complications and is utilized to guide nonsurgical intervention. The American College of Radiology Appropriateness Criteria are evidence-based guidelines for specific clinical conditions that are reviewed annually by a multidisciplinary expert panel. The guideline development and revision include an extensive analysis of current medical literature from peer-reviewed journals and the application of well-established methodologies (RAND/UCLA Appropriateness Method and Grading of Recommendations Assessment, Development, and Evaluation or GRADE) to rate the appropriateness of imaging and treatment procedures for specific clinical scenarios. In those instances where evidence is lacking or equivocal, expert opinion may supplement the available evidence to recommend imaging or treatment.
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Affiliation(s)
| | - Myles T Taffel
- Principal Author, George Washington University Hospital, Washington, District of Columbia.
| | - Paul Nikolaidis
- Panel Vice-chair, Northwestern University, Chicago, Illinois
| | | | - M Donald Blaufox
- Albert Einstein College of Medicine, Bronx, New York; Society of Nuclear Medicine and Molecular Imaging
| | - Vikram S Dogra
- University of Rochester Medical Center, Rochester, New York
| | - Stanley Goldfarb
- University of Pennsylvania School of Medicine, Philadelphia; Pennsylvania, American Society of Nephrology
| | - John L Gore
- University of Washington, Seattle, Washington; American Urological Association
| | | | | | | | | | - Glenn M Preminger
- Duke University Medical Center, Durham, North Carolina; American Urological Association
| | | | - Andrew D Smith
- The University of Mississippi Medical Center, Jackson, Mississippi
| | - Zhen J Wang
- University of California San Francisco School of Medicine, San Francisco, California
| | - Robert M Weinfeld
- Oakland University William Beaumont School of Medicine, Troy, Michigan
| | | | | | - Mark E Lockhart
- Panel Chair, University of Alabama at Birmingham, Birmingham, Alabama
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21
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Xie Y, Li Y, Wen J, Li X, Zhang Z, Li J, Zhao Y, Wang P, Zhang J, Tian Y, Zhang LJ, Lu GM. Functional Evaluation of Transplanted Kidneys with Reduced Field-of-View Diffusion-Weighted Imaging at 3T. Korean J Radiol 2018. [PMID: 29520177 PMCID: PMC5840048 DOI: 10.3348/kjr.2018.19.2.201] [Citation(s) in RCA: 10] [Impact Index Per Article: 1.7] [Reference Citation Analysis] [Abstract] [Key Words] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/14/2022] Open
Abstract
Objective To determine the feasibility of reduced field-of-view diffusion-weighted imaging (rFOV DWI) with multi-b values to detect functional variability in transplanted kidneys. Materials and Methods Using a 3T MRI scanner, multi-b rFOV DWI of transplanted kidney or native kidney was performed in 40 renal transplantation recipients and 18 healthy volunteers. The patients were stratified, according to an estimated glomerular filtration rate (eGFR): Group 1, eGFR ≥ 60 mL/min/1.73 m2; Group 2, eGFR ≥ 30 mL/min/1.73 m2 and < 60 mL/min/1.73 m2; Group 3, eGFR < 30 mL/min/1.73 m2. Total apparent diffusion coefficient (ADCT), perfusion-free ADC (ADCD) and perfusion fraction (FP) of kidneys were calculated and compared among the four groups. Correlations between the imaging results and eGFR were assessed. Results All volunteers had eGFR ≥ 60 mL/min/1.73 m2, while 16, 16, and 8 patients were included in Groups 1, 2, and 3, respectively. In the renal cortex, ADCT was higher in Group 1 ([1.65 ± 0.13] × 10-3 mm2/s) than Group 3 ([1.44 ± 0.11] × 10-3 mm2/s) (p < 0.05), and the inter-group differences of FP values were significant (all p < 0.05) (0.330 ± 0.024, 0.309 ± 0.019, 0.278 ± 0.033, and 0.250 ± 0.028 for control group, Groups 1, 2, and 3, respectively). Renal cortical ADCT, ADCD, FP, and renal medullary ADCT and FP correlated positively with eGFR (r = 0.596, 0.403, 0.711, 0.341, and 0.323, respectively; all p < 0.05). When using 0.278 as the cutoff value, renal cortical FP had a sensitivity of 97.1% and a specificity of 66.7% for predicting decreased renal function. Conclusion Multi-b rFOV DWI presents transplanted kidneys with high resolution, which is a promising functional tool for non-invasively monitoring function of transplanted kidneys.
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Affiliation(s)
- Yuan Xie
- Department of Medical Imaging, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China
| | - Yanjun Li
- Department of Medical Imaging, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China
| | - Jiqiu Wen
- Department of National Clinical Research Center of Kidney Diseases, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China
| | - Xue Li
- Department of National Clinical Research Center of Kidney Diseases, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China
| | - Zhe Zhang
- Department of National Clinical Research Center of Kidney Diseases, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China
| | - Jianrui Li
- Department of Medical Imaging, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China
| | - Yan'e Zhao
- Department of Medical Imaging, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China
| | - Peng Wang
- Department of Medical Imaging, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China
| | - Jun Zhang
- Department of Medical Imaging, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China
| | - Ying Tian
- Department of Medical Imaging, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China
| | - Long Jiang Zhang
- Department of Medical Imaging, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China
| | - Guang Ming Lu
- Department of Medical Imaging, Jinling Hospital, School of Medicine, Nanjing University, Nanjing 210002, China
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Fibrosis imaging: Current concepts and future directions. Adv Drug Deliv Rev 2017; 121:9-26. [PMID: 29108860 DOI: 10.1016/j.addr.2017.10.013] [Citation(s) in RCA: 93] [Impact Index Per Article: 13.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/03/2017] [Revised: 10/26/2017] [Accepted: 10/30/2017] [Indexed: 02/08/2023]
Abstract
Fibrosis plays an important role in many different pathologies. It results from tissue injury, chronic inflammation, autoimmune reactions and genetic alterations, and it is characterized by the excessive deposition of extracellular matrix components. Biopsies are routinely employed for fibrosis diagnosis, but they suffer from several drawbacks, including their invasive nature, sampling variability and limited spatial information. To overcome these limitations, multiple different imaging tools and technologies have been evaluated over the years, including X-ray imaging, computed tomography (CT), ultrasound (US), magnetic resonance imaging (MRI), positron emission tomography (PET) and single-photon emission computed tomography (SPECT). These modalities can provide anatomical, functional and molecular imaging information which is useful for fibrosis diagnosis and staging, and they may also hold potential for the longitudinal assessment of therapy responses. Here, we summarize the use of non-invasive imaging techniques for monitoring fibrosis in systemic autoimmune diseases, in parenchymal organs (such as liver, kidney, lung and heart), and in desmoplastic cancers. We also discuss how imaging biomarkers can be integrated in (pre-) clinical research to individualize and improve anti-fibrotic therapies.
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Kurugol S, Marami B, Afacan O, Warfield SK, Gholipour A. Motion-Robust Spatially Constrained Parameter Estimation in Renal Diffusion-Weighted MRI by 3D Motion Tracking and Correction of Sequential Slices. MOLECULAR IMAGING, RECONSTRUCTION AND ANALYSIS OF MOVING BODY ORGANS, AND STROKE IMAGING AND TREATMENT : FIFTH INTERNATIONAL WORKSHOP, CMMI 2017, SECOND INTERNATIONAL WORKSHOP, RAMBO 2017, AND FIRST INTERNATIONAL WORKSHOP, SWITCH 2017, ... 2017; 10555:75-85. [PMID: 29457154 DOI: 10.1007/978-3-319-67564-0_8] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.4] [Reference Citation Analysis] [Abstract] [Track Full Text] [Subscribe] [Scholar Register] [Indexed: 12/15/2022]
Abstract
In this work, we introduce a novel motion-robust spatially constrained parameter estimation (MOSCOPE) technique for kidney diffusion-weighted MRI. The proposed motion compensation technique does not require a navigator, trigger, or breath-hold but only uses the intrinsic features of the acquired data to track and compensate for motion to reconstruct precise models of the renal diffusion signal. We have developed a technique for physiological motion tracking based on robust state estimation and sequential registration of diffusion sensitized slices acquired within 200ms. This allows a sampling rate of 5Hz for state estimation in motion tracking that is sufficiently faster than both respiratory and cardiac motion rates in children and adults, which range between 0.8 to 0.2Hz, and 2.5 to 1Hz, respectively. We then apply the estimated motion parameters to data from each slice and use motion-compensated data for 1) robust intra-voxel incoherent motion (IVIM) model estimation in the kidney using a spatially constrained model fitting approach, and 2) robust weighted least squares estimation of the diffusion tensor model. Experimental results, including precision of IVIM model parameters using bootstrap-sampling and in-vivo whole kidney tractography, showed significant improvement in precision and accuracy of these models using the proposed method compared to models based on the original data and volumetric registration.
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Affiliation(s)
- Sila Kurugol
- Dept. of Radiology, Boston Children's Hospital and Harvard Medical School
| | - Bahram Marami
- Dept. of Radiology, Boston Children's Hospital and Harvard Medical School
| | - Onur Afacan
- Dept. of Radiology, Boston Children's Hospital and Harvard Medical School
| | - Simon K Warfield
- Dept. of Radiology, Boston Children's Hospital and Harvard Medical School
| | - Ali Gholipour
- Dept. of Radiology, Boston Children's Hospital and Harvard Medical School
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van Baalen S, Leemans A, Dik P, Lilien MR, ten Haken B, Froeling M. Intravoxel incoherent motion modeling in the kidneys: Comparison of mono-, bi-, and triexponential fit. J Magn Reson Imaging 2017; 46:228-239. [PMID: 27787931 PMCID: PMC5484284 DOI: 10.1002/jmri.25519] [Citation(s) in RCA: 36] [Impact Index Per Article: 5.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 08/18/2016] [Accepted: 10/07/2016] [Indexed: 02/03/2023] Open
Abstract
PURPOSE To evaluate if a three-component model correctly describes the diffusion signal in the kidney and whether it can provide complementary anatomical or physiological information about the underlying tissue. MATERIALS AND METHODS Ten healthy volunteers were examined at 3T, with T2 -weighted imaging, diffusion tensor imaging (DTI), and intravoxel incoherent motion (IVIM). Diffusion tensor parameters (mean diffusivity [MD] and fractional anisotropy [FA]) were obtained by iterative weighted linear least squares fitting of the DTI data and mono-, bi-, and triexponential fit parameters (D1 , D2 , D3 , ffast2 , ffast3 , and finterm ) using a nonlinear fit of the IVIM data. Average parameters were calculated for three regions of interest (ROIs) (cortex, medulla, and rest) and from fiber tractography. Goodness of fit was assessed with adjusted R2 ( Radj2) and the Shapiro-Wilk test was used to test residuals for normality. Maps of diffusion parameters were also visually compared. RESULTS Fitting the diffusion signal was feasible for all models. The three-component model was best able to describe fast signal decay at low b values (b < 50), which was most apparent in Radj2 of the ROI containing high diffusion signals (ROIrest ), which was 0.42 ± 0.14, 0.61 ± 0.11, 0.77 ± 0.09, and 0.81 ± 0.08 for DTI, one-, two-, and three-component models, respectively, and in visual comparison of the fitted and measured S0 . None of the models showed significant differences (P > 0.05) between the diffusion constant of the medulla and cortex, whereas the ffast component of the two and three-component models were significantly different (P < 0.001). CONCLUSION Triexponential fitting is feasible for the diffusion signal in the kidney, and provides additional information. LEVEL OF EVIDENCE 2 Technical Efficacy: Stage 1 J. MAGN. RESON. IMAGING 2017;46:228-239.
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Affiliation(s)
- Sophie van Baalen
- MIRA Institute for Biomedical Technology and Technical MedicineUniversity of TwenteEnschedeThe Netherlands
| | - Alexander Leemans
- Image Sciences InstituteUniversity Medical Center UtrechtUtrechtThe Netherlands
| | - Pieter Dik
- Department of Pediatric UrologyWilhelmina Children's Hospital, UMC UtrechtUtrechtThe Netherlands
| | - Marc R. Lilien
- Department of Pediatric NephrologyWilhelmina Children's Hospital, UMC UtrechtUtrechtThe Netherlands
| | - Bennie ten Haken
- MIRA Institute for Biomedical Technology and Technical MedicineUniversity of TwenteEnschedeThe Netherlands
| | - Martijn Froeling
- Department of RadiologyUniversity Medical Center UtrechtUtrechtThe Netherlands
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Motion-robust parameter estimation in abdominal diffusion-weighted MRI by simultaneous image registration and model estimation. Med Image Anal 2017; 39:124-132. [PMID: 28494271 DOI: 10.1016/j.media.2017.04.006] [Citation(s) in RCA: 18] [Impact Index Per Article: 2.6] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/20/2016] [Revised: 04/07/2017] [Accepted: 04/22/2017] [Indexed: 01/22/2023]
Abstract
Quantitative body DW-MRI can detect abdominal abnormalities as well as monitor response-to-therapy for applications including cancer and inflammatory bowel disease with increased accuracy. Parameter estimates are obtained by fitting a forward model of DW-MRI signal decay to the observed data acquired with several b-values. The DW-MRI signal decay models typically used do not account for respiratory, cardiac and peristaltic motion, however, which may deteriorate the accuracy and robustness of parameter estimates. In this work, we introduce a new model of DW-MRI signal decay that explicitly accounts for motion. Specifically, we estimated motion-compensated model parameters by simultaneously solving image registration and model estimation (SIR-ME) problems utilizing the interdependence of acquired volumes along the diffusion-weighting dimension. To accomplish this, we applied the SIR-ME model to the in-vivo DW-MRI data sets of 26 Crohn's disease (CD) patients and achieved improved precision of the estimated parameters by reducing the coefficient of variation by 8%, 24% and 8% for slow diffusion (D), fast diffusion (D*) and fast diffusion fraction (f) parameters respectively, compared to parameters estimated with independent registration in normal-appearing bowel regions. Moreover, the parameters estimated with the SIR-ME model reduced the error rate in classifying normal and abnormal bowel loops to 12% for D and 10% for f parameter with a reduction in error rate by 13% and 11% for D and f parameters, respectively, compared to the error rate in classifying parameter estimates obtained with independent registration. The experiments in DW-MRI of liver in 20 subjects also showed that the SIR-ME model improved the precision of parameter estimation by reducing the coefficient of variation to 7% for D, 23% for D*, and 8% for the f parameter. Using the SIR-ME model, the coefficient of variation was reduced by 4%, 14% and 6% for D, D* and f parameters, respectively, compared to parameters estimated with independent registration. These results demonstrate that the proposed SIR-ME model improves the accuracy and robustness of quantitative body DW-MRI in characterizing tissue microstructure.
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26
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Selection for biopsy of kidney transplant patients by diffusion-weighted MRI. Eur Radiol 2017; 27:4336-4344. [PMID: 28374076 DOI: 10.1007/s00330-017-4814-z] [Citation(s) in RCA: 21] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/10/2016] [Revised: 02/26/2017] [Accepted: 03/14/2017] [Indexed: 10/19/2022]
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Quantification of Single-Kidney Function and Volume in Living Kidney Donors Using Dynamic Contrast-Enhanced MRI. AJR Am J Roentgenol 2016; 207:1022-1030. [DOI: 10.2214/ajr.16.16168] [Citation(s) in RCA: 12] [Impact Index Per Article: 1.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/06/2023]
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28
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Jiang K, Ferguson CM, Ebrahimi B, Tang H, Kline TL, Burningham TA, Mishra PK, Grande JP, Macura SI, Lerman LO. Noninvasive Assessment of Renal Fibrosis with Magnetization Transfer MR Imaging: Validation and Evaluation in Murine Renal Artery Stenosis. Radiology 2016; 283:77-86. [PMID: 27697008 DOI: 10.1148/radiol.2016160566] [Citation(s) in RCA: 55] [Impact Index Per Article: 6.9] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 12/18/2022]
Abstract
Purpose To test the utility of magnetization transfer imaging in detecting and monitoring the progression of renal fibrosis in mice with unilateral renal artery stenosis. Materials and Methods This prospective study was approved by the Institutional Animal Care and Use Committee. Renal artery stenosis surgery (n = 10) or sham surgery (n = 5) was performed, and the stenotic and contralateral kidneys were studied longitudinally in vivo at baseline and 2, 4, and 6 weeks after surgery. After a 16.4-T magnetic resonance imaging examination, magnetization transfer ratio was measured as an index of fibrosis (guided by parameters selected in preliminary phantom studies). In addition, renal volume, perfusion, blood flow, and oxygenation were assessed. Fibrosis was subsequently measured ex vivo by means of histologic analysis and hydroxyproline assay. The Wilcoxon rank sum or signed rank test was used for statistical comparisons between or within groups, and Pearson and Spearman rank correlation was used to compare fibrosis measured in vivo and ex vivo. Results In the stenotic kidney, the median magnetization transfer ratio showed progressive increases from baseline to 6 weeks after surgery (increases of 13.7% [P = .0006] and 21.3% [P = .0005] in cortex and medulla, respectively), which were accompanied by a progressive loss in renal volume, perfusion, blood flow, and oxygenation. The 6-week magnetization transfer ratio map showed good correlation with fibrosis measured ex vivo (Pearson r = 0.9038 and Spearman ρ = 0.8107 [P = .0002 vs trichrome staining]; r = 0.9540 and ρ = 0.8821 [P < .0001 vs Sirius red staining]; and r = 0.8429 and ρ = 0.7607 [P = .001 vs hydroxyproline assay]). Conclusion Magnetization transfer imaging was used successfully to measure and longitudinally monitor the progression of renal fibrosis in mice with unilateral renal artery stenosis. © RSNA, 2016 Online supplemental material is available for this article.
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Affiliation(s)
- Kai Jiang
- From the Division of Nephrology and Hypertension (K.J., C.M.F., B.E., H.T., T.A.B., L.O.L.), Department of Radiology (T.L.K.), Department of Biochemistry and Molecular Biology (P.K.M., S.I.M.), and Department of Laboratory Medicine and Pathology (J.P.G.), Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Christopher M Ferguson
- From the Division of Nephrology and Hypertension (K.J., C.M.F., B.E., H.T., T.A.B., L.O.L.), Department of Radiology (T.L.K.), Department of Biochemistry and Molecular Biology (P.K.M., S.I.M.), and Department of Laboratory Medicine and Pathology (J.P.G.), Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Behzad Ebrahimi
- From the Division of Nephrology and Hypertension (K.J., C.M.F., B.E., H.T., T.A.B., L.O.L.), Department of Radiology (T.L.K.), Department of Biochemistry and Molecular Biology (P.K.M., S.I.M.), and Department of Laboratory Medicine and Pathology (J.P.G.), Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Hui Tang
- From the Division of Nephrology and Hypertension (K.J., C.M.F., B.E., H.T., T.A.B., L.O.L.), Department of Radiology (T.L.K.), Department of Biochemistry and Molecular Biology (P.K.M., S.I.M.), and Department of Laboratory Medicine and Pathology (J.P.G.), Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Timothy L Kline
- From the Division of Nephrology and Hypertension (K.J., C.M.F., B.E., H.T., T.A.B., L.O.L.), Department of Radiology (T.L.K.), Department of Biochemistry and Molecular Biology (P.K.M., S.I.M.), and Department of Laboratory Medicine and Pathology (J.P.G.), Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Tyson A Burningham
- From the Division of Nephrology and Hypertension (K.J., C.M.F., B.E., H.T., T.A.B., L.O.L.), Department of Radiology (T.L.K.), Department of Biochemistry and Molecular Biology (P.K.M., S.I.M.), and Department of Laboratory Medicine and Pathology (J.P.G.), Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Prassana K Mishra
- From the Division of Nephrology and Hypertension (K.J., C.M.F., B.E., H.T., T.A.B., L.O.L.), Department of Radiology (T.L.K.), Department of Biochemistry and Molecular Biology (P.K.M., S.I.M.), and Department of Laboratory Medicine and Pathology (J.P.G.), Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Joseph P Grande
- From the Division of Nephrology and Hypertension (K.J., C.M.F., B.E., H.T., T.A.B., L.O.L.), Department of Radiology (T.L.K.), Department of Biochemistry and Molecular Biology (P.K.M., S.I.M.), and Department of Laboratory Medicine and Pathology (J.P.G.), Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Slobodan I Macura
- From the Division of Nephrology and Hypertension (K.J., C.M.F., B.E., H.T., T.A.B., L.O.L.), Department of Radiology (T.L.K.), Department of Biochemistry and Molecular Biology (P.K.M., S.I.M.), and Department of Laboratory Medicine and Pathology (J.P.G.), Mayo Clinic, 200 First St SW, Rochester, MN 55905
| | - Lilach O Lerman
- From the Division of Nephrology and Hypertension (K.J., C.M.F., B.E., H.T., T.A.B., L.O.L.), Department of Radiology (T.L.K.), Department of Biochemistry and Molecular Biology (P.K.M., S.I.M.), and Department of Laboratory Medicine and Pathology (J.P.G.), Mayo Clinic, 200 First St SW, Rochester, MN 55905
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Hueper K, Gutberlet M, Bräsen JH, Jang MS, Thorenz A, Chen R, Hertel B, Barrmeyer A, Schmidbauer M, Meier M, von Vietinghoff S, Khalifa A, Hartung D, Haller H, Wacker F, Rong S, Gueler F. Multiparametric Functional MRI: Non-Invasive Imaging of Inflammation and Edema Formation after Kidney Transplantation in Mice. PLoS One 2016; 11:e0162705. [PMID: 27632553 PMCID: PMC5025122 DOI: 10.1371/journal.pone.0162705] [Citation(s) in RCA: 23] [Impact Index Per Article: 2.9] [Reference Citation Analysis] [Abstract] [MESH Headings] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/08/2016] [Accepted: 08/27/2016] [Indexed: 11/19/2022] Open
Abstract
Background Kidney transplantation (ktx) in mice is used to learn about rejection and to develop new treatment strategies. Past studies have mainly been based on histological or molecular biological methods. Imaging techniques to monitor allograft pathology have rarely been used. Methods Here we investigated mice after isogenic and allogenic ktx over time with functional MRI with diffusion-weighted imaging (DWI) and mapping of T2-relaxation time (T2-mapping) to assess graft inflammation and edema formation. To characterize graft pathology, we used PAS-staining, counted CD3-positive T-lymphocytes, analyzed leukocytes by means flow cytometry. Results DWI revealed progressive restriction of diffusion of water molecules in allogenic kidney grafts. This was paralleled by enhanced infiltration of the kidney by inflammatory cells. Changes in tissue diffusion were not seen following isogenic ktx. T2-times in renal cortex were increased after both isogenic and allogenic transplantation, consistent with tissue edema due to ischemic injury following prolonged cold ischemia time of 60 minutes. Lack of T2 increase in the inner stripe of the inner medulla in allogenic kidney grafts matched loss of tubular autofluorescence and may result from rejection-driven reductions in tubular water content due to tubular dysfunction and renal functional impairment. Conclusions Functional MRI is a valuable non-invasive technique for monitoring inflammation, tissue edema and tubular function. It permits on to differentiate between acute rejection and ischemic renal injury in a mouse model of ktx.
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Affiliation(s)
- Katja Hueper
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
- * E-mail:
| | - Marcel Gutberlet
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | | | - Mi-Sun Jang
- Department of Nephrology, Hannover Medical School, Hannover, Germany
| | - Anja Thorenz
- Department of Nephrology, Hannover Medical School, Hannover, Germany
| | - Rongjun Chen
- Department of Nephrology, Hannover Medical School, Hannover, Germany
- The kidney disease centre of the First Affiliated Hospital, Zhejiang University, Hangzhou, China
| | - Barbara Hertel
- Department of Nephrology, Hannover Medical School, Hannover, Germany
| | - Amelie Barrmeyer
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | - Martina Schmidbauer
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | - Martin Meier
- Institute for Laboratory Animal Science, Hannover Medical School, Hannover, Germany
| | | | | | - Dagmar Hartung
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | - Hermann Haller
- Department of Nephrology, Hannover Medical School, Hannover, Germany
| | - Frank Wacker
- Institute for Diagnostic and Interventional Radiology, Hannover Medical School, Hannover, Germany
| | - Song Rong
- Department of Nephrology, Hannover Medical School, Hannover, Germany
- The Transplantation Center of the affiliated hospital, Zunyi Medical College, Zunyi, China
| | - Faikah Gueler
- Department of Nephrology, Hannover Medical School, Hannover, Germany
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Taouli B, Beer AJ, Chenevert T, Collins D, Lehman C, Matos C, Padhani AR, Rosenkrantz AB, Shukla-Dave A, Sigmund E, Tanenbaum L, Thoeny H, Thomassin-Naggara I, Barbieri S, Corcuera-Solano I, Orton M, Partridge SC, Koh DM. Diffusion-weighted imaging outside the brain: Consensus statement from an ISMRM-sponsored workshop. J Magn Reson Imaging 2016; 44:521-40. [PMID: 26892827 PMCID: PMC4983499 DOI: 10.1002/jmri.25196] [Citation(s) in RCA: 127] [Impact Index Per Article: 15.9] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2015] [Revised: 01/28/2016] [Accepted: 01/30/2016] [Indexed: 12/11/2022] Open
Abstract
The significant advances in magnetic resonance imaging (MRI) hardware and software, sequence design, and postprocessing methods have made diffusion-weighted imaging (DWI) an important part of body MRI protocols and have fueled extensive research on quantitative diffusion outside the brain, particularly in the oncologic setting. In this review, we summarize the most up-to-date information on DWI acquisition and clinical applications outside the brain, as discussed in an ISMRM-sponsored symposium held in April 2015. We first introduce recent advances in acquisition, processing, and quality control; then review scientific evidence in major organ systems; and finally describe future directions. J. Magn. Reson. Imaging 2016;44:521-540.
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Affiliation(s)
- Bachir Taouli
- Department of Radiology and Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Ambros J. Beer
- Department of Nuclear Medicine, University Hospital Ulm, Ulm, Germany
| | - Thomas Chenevert
- Department of Radiology, University of Michigan, Ann Arbor, Michigan, USA
| | - David Collins
- CR UK Cancer Imaging Centre, Institute of Cancer Research and Department of Radiology, Royal Marsden Hospital, London, UK
| | - Constance Lehman
- Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts, USA
| | - Celso Matos
- Department of Radiology, Champalimaud Clinical Centre, Lisbon, Portugal
| | | | | | - Amita Shukla-Dave
- Departments of Medical Physics and Radiology, Memorial Sloan-Kettering Cancer Center, New York, New York, USA
| | - Eric Sigmund
- Irene and Bernard Schwartz Center for Biomedical Imaging (CBI) and Center for Advanced Imaging and Innovation (CAIR), Department of Radiology, NYU Langone Medical Center, New York, New York, USA
| | - Lawrence Tanenbaum
- Department of Radiology, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Harriet Thoeny
- Department of Diagnostic Radiology, Inselspital Bern, Bern, Switzerland
| | | | | | - Idoia Corcuera-Solano
- Department of Radiology and Translational and Molecular Imaging Institute, Icahn School of Medicine at Mount Sinai, New York, New York, USA
| | - Matthew Orton
- CR UK Cancer Imaging Centre, Institute of Cancer Research and Department of Radiology, Royal Marsden Hospital, London, UK
| | | | - Dow-Mu Koh
- Institute of Cancer Research and Department of Radiology, Royal Marsden Hospital, London, UK
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Seif M, Eisenberger U, Binser T, Thoeny HC, Krauer F, Rusch A, Boesch C, Vogt B, Vermathen P. Renal Blood Oxygenation Level–dependent Imaging in Longitudinal Follow-up of Donated and Remaining Kidneys. Radiology 2016; 279:795-804. [DOI: 10.1148/radiol.2015150370] [Citation(s) in RCA: 20] [Impact Index Per Article: 2.5] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/11/2022]
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32
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Faletti R, Cassinis MC, Gatti M, Giglio J, Guarnaccia C, Messina M, Bergamasco L, Fonio P. Acute pyelonephritis in transplanted kidneys: can diffusion-weighted magnetic resonance imaging be useful for diagnosis and follow-up? Abdom Radiol (NY) 2016; 41:531-7. [PMID: 27039324 DOI: 10.1007/s00261-015-0618-2] [Citation(s) in RCA: 9] [Impact Index Per Article: 1.1] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Abstract
PURPOSE To assess reliability of diffusion-weighted magnetic resonance imaging (DW-MRI) in the management of acute pyelonephritis (APN) foci in transplanted kidneys. MATERIALS AND METHODS In the 2012-2014 period, 24 kidney-transplanted patients underwent MR screening for clinical suspicion of APN. Two readers independently analyzed all images, establishing presence and location of APN foci. The 22 patients who were positive at the MR exam constituted the study population. For each patient the apparent diffusion coefficient (ADC) was measured in the APN foci and in three sites of the healthy parenchyma (case-control comparison). The data were matched to the laboratory measurements for white blood cell, C-reactive protein, and serum creatinine. RESULTS Forty-six APN foci were found in 22/24 patients. At the acute stage, the difference in ADC between healthy parenchyma and APN foci was significant (2.06 ± 0.16 vs. 1.43 ± 0.32 × 10(-3) mm(2)/s; p < 0.0001). The performance of ADC as APN indicator was tested by the receiving operating characteristics (ROC) curve: the area under curve AUC = 0.99 witnessed an excellent discriminatory ability, with threshold APN/normal parenchyma 1.9 × 10(-3) mm(2)/s. At the 1-month follow-up 43/46 APN foci were no longer visible, with ADC values significantly higher than at the acute stage; all laboratory data were physiological, with WBC significantly reduced from the acute phase (5.2 ± 1.6 × 10(9)/L vs. 10.6 ± 4.8 × 10(9)/L; p < 0.0001). The other 3 patients underwent further therapy and exams, including a third MR. CONCLUSIONS DW-MRI with ADC measurement seems to be a reliable tool in diagnosing and monitoring APN foci in transplanted kidneys, with clinical impact on patient management.
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Affiliation(s)
- Riccardo Faletti
- Radiology Unit, Department of Surgical Sciences, University of Torino, Via Genova 3, 10126, Turin, Italy.
| | - Maria Carla Cassinis
- Radiology Unit, Department of Surgical Sciences, University of Torino, Via Genova 3, 10126, Turin, Italy
| | - Marco Gatti
- Radiology Unit, Department of Surgical Sciences, University of Torino, Via Genova 3, 10126, Turin, Italy
| | - Jacopo Giglio
- Radiology Unit, Department of Surgical Sciences, University of Torino, Via Genova 3, 10126, Turin, Italy
| | - Carla Guarnaccia
- Radiology Unit, Department of Surgical Sciences, University of Torino, Via Genova 3, 10126, Turin, Italy
| | - Marina Messina
- Renal Transplantation Unit, Division of Nephrology Dialysis and Transplantation, AOU Città della Salute e della Scienza di Torino and Department of Medical Sciences, University of Torino, Turin, Italy
| | - Laura Bergamasco
- Radiology Unit, Department of Surgical Sciences, University of Torino, Via Genova 3, 10126, Turin, Italy
| | - Paolo Fonio
- Radiology Unit, Department of Surgical Sciences, University of Torino, Via Genova 3, 10126, Turin, Italy
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Seif M, Mani LY, Lu H, Boesch C, Reyes M, Vogt B, Vermathen P. Diffusion tensor imaging of the human kidney: Does image registration permit scanning without respiratory triggering? J Magn Reson Imaging 2016; 44:327-34. [PMID: 26871263 DOI: 10.1002/jmri.25176] [Citation(s) in RCA: 14] [Impact Index Per Article: 1.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/03/2015] [Accepted: 01/19/2016] [Indexed: 12/20/2022] Open
Abstract
PURPOSE To investigate if image registration of diffusion tensor imaging (DTI) allows omitting respiratory triggering for both transplanted and native kidneys MATERIALS AND METHODS Nine kidney transplant recipients and eight healthy volunteers underwent renal DTI on a 3T scanner with and without respiratory triggering. DTI images were registered using a multimodal nonrigid registration algorithm. Apparent diffusion coefficient (ADC), the contribution of perfusion (FP ), and the fractional anisotropy (FA) were determined. Relative root mean square errors (RMSE) of the fitting and the standard deviations of the derived parameters within the regions of interest (SDROI ) were evaluated as quality criteria. RESULTS Registration significantly reduced RMSE in all DTI-derived parameters of triggered and nontriggered measurements in cortex and medulla of both transplanted and native kidneys (P < 0.05 for all). In addition, SDROI values were lower with registration for all 16 parameters in transplanted kidneys (14 of 16 SDROI values were significantly reduced, P < 0.04) and for 15 of 16 parameters in native kidneys (9 of 16 SDROI values were significantly reduced, P < 0.05). Comparing triggered versus nontriggered DTI in transplanted kidneys revealed no significant difference for RMSE (P > 0.14) and for SDROI (P > 0.13) of all parameters. In contrast, in native kidneys relative RMSE from triggered scans were significantly lower than those from nontriggered scans (P < 0.02), while SDROI was slightly higher in triggered compared to nontriggered measurements in 15 out of 16 comparisons (significantly for two, P < 0.05). CONCLUSION Registration improves the quality of DTI in native and transplanted kidneys. Diffusion parameters in renal allografts can be measured without respiratory triggering. In native kidneys, respiratory triggering appears advantageous. J. Magn. Reson. Imaging 2016;44:327-334.
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Affiliation(s)
- Maryam Seif
- Department of Clinical Research and Radiology, University of Bern, Bern, Switzerland
| | - Laila Yasmin Mani
- Department of Nephrology, Hypertension and Clinical Pharmacology, University Hospital of Bern, Switzerland
| | - Huanxiang Lu
- Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland
| | - Chris Boesch
- Department of Clinical Research and Radiology, University of Bern, Bern, Switzerland
| | - Mauricio Reyes
- Institute for Surgical Technology and Biomechanics, University of Bern, Bern, Switzerland
| | - Bruno Vogt
- Department of Nephrology, Hypertension and Clinical Pharmacology, University Hospital of Bern, Switzerland
| | - Peter Vermathen
- Department of Clinical Research and Radiology, University of Bern, Bern, Switzerland
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Lanzman RS, Notohamiprodjo M, Wittsack HJ. [Functional magnetic resonance imaging of the kidneys]. Radiologe 2015; 55:1077-87. [PMID: 26628260 DOI: 10.1007/s00117-015-0044-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 01/03/2023]
Abstract
Interest in functional renal magnetic resonance imaging (MRI) has significantly increased in recent years. This review article provides an overview of the most important functional imaging techniques and their potential clinical applications for assessment of native and transplanted kidneys, with special emphasis on the clarification of renal tumors.
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Mishima E, Kikuchi K, Ota H, Akiyama Y, Suzuki T, Seiji K, Hashimoto J, Takase K, Abe T, Ito S. Detection of Segmental Renal Ischemia by Diffusion-Weighted Magnetic Resonance Imaging: Clinical Utility for Diagnosis of Renovascular Hypertension. J Clin Hypertens (Greenwich) 2015; 18:364-5. [DOI: 10.1111/jch.12675] [Citation(s) in RCA: 5] [Impact Index Per Article: 0.6] [Reference Citation Analysis] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/29/2022]
Affiliation(s)
- Eikan Mishima
- Division of Nephrology, Endocrinology, and Vascular Medicine; Tohoku University Graduate School of Medicine; Sendai Japan
| | - Koichi Kikuchi
- Division of Nephrology, Endocrinology, and Vascular Medicine; Tohoku University Graduate School of Medicine; Sendai Japan
| | - Hideki Ota
- Department of Diagnostic Radiology; Tohoku University Graduate School of Medicine; Sendai Japan
| | - Yasutoshi Akiyama
- Division of Nephrology, Endocrinology, and Vascular Medicine; Tohoku University Graduate School of Medicine; Sendai Japan
| | - Takehiro Suzuki
- Division of Nephrology, Endocrinology, and Vascular Medicine; Tohoku University Graduate School of Medicine; Sendai Japan
- Division of Medical Science; Tohoku University Graduate School of Biomedical Engineering; Sendai Japan
| | - Kazumasa Seiji
- Department of Diagnostic Radiology; Tohoku University Graduate School of Medicine; Sendai Japan
| | - Junichiro Hashimoto
- Division of Nephrology, Endocrinology, and Vascular Medicine; Tohoku University Graduate School of Medicine; Sendai Japan
| | - Kei Takase
- Department of Diagnostic Radiology; Tohoku University Graduate School of Medicine; Sendai Japan
| | - Takaaki Abe
- Division of Nephrology, Endocrinology, and Vascular Medicine; Tohoku University Graduate School of Medicine; Sendai Japan
- Division of Medical Science; Tohoku University Graduate School of Biomedical Engineering; Sendai Japan
| | - Sadayoshi Ito
- Division of Nephrology, Endocrinology, and Vascular Medicine; Tohoku University Graduate School of Medicine; Sendai Japan
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Fan WJ, Ren T, Li Q, Zuo PL, Long MM, Mo CB, Chen LH, Huang LX, Shen W. Assessment of renal allograft function early after transplantation with isotropic resolution diffusion tensor imaging. Eur Radiol 2015; 26:567-75. [PMID: 26017738 DOI: 10.1007/s00330-015-3841-x] [Citation(s) in RCA: 35] [Impact Index Per Article: 3.9] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/03/2014] [Revised: 05/02/2015] [Accepted: 05/11/2015] [Indexed: 01/21/2023]
Abstract
OBJECTIVES To investigate the value of diffusion tensor imaging (DTI) and tractography in renal allografts at the early stage after kidney transplantation. METHODS This study was approved by the institutional ethical review committee, and written informed consent was obtained. A total of 54 renal allograft recipients 2-3 weeks after transplantation and 26 age-matched healthy volunteers underwent renal DTI with a 3.0-T magnetic resonance imaging (MRI) system. Recipients were divided into three groups according to the estimated glomerular filtration rate (eGFR). Apparent diffusion coefficient (ADC) and fractional anisotropy (FA) of the cortex and medulla were measured and compared among the groups. Whole-kidney tractography was performed. Correlation of eGFR with diffusion parameters was evaluated. RESULTS In allografts with stable function, the medullary ADC was higher and the cortical FA was lower (p < 0.001) than in healthy kidneys. The cortical ADC, medullary ADC and FA decreased as the allograft function declined, and with a positive correlation with eGFR (p < 0.001); cortical FA did not. Tractography demonstrated a decrease of tract density in impaired functional allografts. CONCLUSIONS Renal DTI produces reliable results to assess renal allograft function at the early stage after transplantation. KEY POINTS • DTI and tractography can evaluate renal allograft function at an early stage • Medullary FA, cortical and medullary ADC can effectively evaluate allograft function • Medullary FA, cortical and medullary ADC are correlated with eGFR in renal allografts • Medullary ADC increased and cortical FA decreased in stable allografts compared to control subjects • Medullary FA, cortical and medullary ADC decreased and allograft function declined.
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Affiliation(s)
- Wen-jun Fan
- Department of Radiology, Tianjin Medical University First Central Hospital, Tianjin, 300192, China.,Medical Department, Armed Police Corps Hospital of Henan Province, Zhengzhou, 450052, China
| | - Tao Ren
- Department of Radiology, Tianjin Medical University First Central Hospital, Tianjin, 300192, China
| | - Qiong Li
- Department of Radiology, Tianjin Medical University First Central Hospital, Tianjin, 300192, China
| | - Pan-li Zuo
- Siemens Healthcare, MR Collaboration NE Asia, Beijing, 100102, China
| | - Miao-miao Long
- Department of Radiology, Tianjin Medical University First Central Hospital, Tianjin, 300192, China
| | - Chun-bai Mo
- Department of Transplantation Surgery, Tianjin First Central Hospital, Tianjin, 300192, China
| | - Li-hua Chen
- Department of Radiology, Tianjin Medical University First Central Hospital, Tianjin, 300192, China
| | - Li-xiang Huang
- Department of Radiology, Tianjin Medical University First Central Hospital, Tianjin, 300192, China
| | - Wen Shen
- Department of Radiology, Tianjin Medical University First Central Hospital, Tianjin, 300192, China.
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