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Hamelink TL, Ogurlu B, Pamplona CC, Castelein J, Bennedsgaard SS, Qi H, Weiss T, Lantinga VA, Pool MBF, Laustsen C, Jespersen B, Leuvenink HGD, Ringgaard S, Borra RJH, Keller AK, Moers C. Magnetic resonance imaging as a noninvasive adjunct to conventional assessment of functional differences between kidneys in vivo and during ex vivo normothermic machine perfusion. Am J Transplant 2024:S1600-6135(24)00272-7. [PMID: 38615901 DOI: 10.1016/j.ajt.2024.04.001] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/27/2024] [Revised: 03/26/2024] [Accepted: 04/07/2024] [Indexed: 04/16/2024]
Abstract
Normothermic machine perfusion (NMP) is increasingly considered for pretransplant kidney quality assessment. However, fundamental questions about differences between in vivo and ex vivo renal function, as well as the impact of ischemic injury on ex vivo physiology, remain unanswered. This study utilized magnetic resonance imaging (MRI), alongside conventional parameters to explore differences between in vivo and ex vivo renal function and the impact of warm ischemia on a kidney's behavior ex vivo. Renal MRI scans and samples were obtained from living pigs (n = 30) in vivo. Next, kidney pairs were procured and exposed to minimal, or 75 minutes of warm ischemia, followed by 6 hours of hypothermic machine perfusion. Both kidneys simultaneously underwent 6-hour ex vivo perfusion in MRI-compatible NMP circuits to obtain multiparametric MRI data. Ischemically injured ex vivo kidneys showed a significantly altered regional blood flow distribution compared to in vivo and minimally damaged organs. Both ex vivo groups showed diffusion restriction relative to in vivo. Our findings underscore the differences between in vivo and ex vivo MRI-based renal characteristics. Therefore, when assessing organ viability during NMP, it should be considered to incorporate parameters beyond the conventional functional markers that are common in vivo.
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Affiliation(s)
- Tim L Hamelink
- Department of Surgery - Organ Donation and Transplantation, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands.
| | - Baran Ogurlu
- Department of Surgery - Organ Donation and Transplantation, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Carolina C Pamplona
- Department of Surgery - Organ Donation and Transplantation, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Johannes Castelein
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands; Department of Biomedical Sciences, Faculty of Health and Medical Sciences, University of Copenhagen, Copenhagen, Denmark
| | | | - Haiyun Qi
- Department of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Thomas Weiss
- Department of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Veerle A Lantinga
- Department of Surgery - Organ Donation and Transplantation, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Merel B F Pool
- Department of Surgery - Organ Donation and Transplantation, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Christoffer Laustsen
- Department of Clinical Medicine, MR Research Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Bente Jespersen
- Department of Renal Medicine, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Henri G D Leuvenink
- Department of Surgery - Organ Donation and Transplantation, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Steffen Ringgaard
- Department of Clinical Medicine, MR Research Centre, Aarhus University Hospital, Aarhus, Denmark
| | - Ronald J H Borra
- Department of Radiology, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
| | - Anna K Keller
- Department of Urology, Aarhus University Hospital, Aarhus, Denmark; Department of Clinical Medicine, Aarhus University Hospital, Aarhus, Denmark
| | - Cyril Moers
- Department of Surgery - Organ Donation and Transplantation, University Medical Center Groningen, University of Groningen, Groningen, the Netherlands
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Shi Z, Sun C, Zhou F, Yuan J, Chen M, Wang X, Wang X, Zhang Y, Pylypenko D, Yuan L. Native T1-mapping as a predictor of progressive renal function decline in chronic kidney disease patients. BMC Nephrol 2024; 25:121. [PMID: 38575883 PMCID: PMC10996237 DOI: 10.1186/s12882-024-03559-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 12/07/2023] [Accepted: 03/22/2024] [Indexed: 04/06/2024] Open
Abstract
BACKGROUND To investigate the potential of Native T1-mapping in predicting the prognosis of patients with chronic kidney disease (CKD). METHODS We enrolled 119 CKD patients as the study subjects and included 20 healthy volunteers as the control group, with follow-up extending until October 2022. Out of these patients, 63 underwent kidney biopsy measurements, and these patients were categorized into high (25-50%), low (< 25%), and no renal interstitial fibrosis (IF) (0%) groups. The study's endpoint event was the initiation of renal replacement therapy, kidney transplantation, or an increase of over 30% in serum creatinine levels. Cox regression analysis determined factors influencing unfavorable kidney outcomes. We employed Kaplan-Meier analysis to contrast kidney survival rates between the high and low T1 groups. Additionally, receiver-operating characteristic (ROC) curve analysis assessed the predictive accuracy of Native T1-mapping for kidney endpoint events. RESULTS T1 values across varying fibrosis degree groups showed statistical significance (F = 4.772, P < 0.05). Multivariate Cox regression pinpointed 24-h urine protein, cystatin C(CysC), hemoglobin(Hb), and T1 as factors tied to the emergence of kidney endpoint events. Kaplan-Meier survival analysis revealed a markedly higher likelihood of kidney endpoint events in the high T1 group compared to the low T1 value group (P < 0.001). The ROC curves for variables (CysC, T1, Hb) tied to kidney endpoint events demonstrated area under the curves(AUCs) of 0.83 (95%CI: 0.75-0.91) for CysC, 0.77 (95%CI: 0.68-0.86) for T1, and 0.73 (95%CI: 0.63-0.83) for Hb. Combining these variables elevated the AUC to 0.88 (95%CI: 0.81-0.94). CONCLUSION Native T1-mapping holds promise in facilitating more precise and earlier detection of CKD patients most at risk for end-stage renal disease.
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Affiliation(s)
- Zhaoyu Shi
- Department of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226000, Jiangsu, China
| | - Chen Sun
- Department of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226000, Jiangsu, China
| | - Fei Zhou
- Department of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226000, Jiangsu, China
| | - Jianlei Yuan
- Department of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226000, Jiangsu, China
| | - Minyue Chen
- Department of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226000, Jiangsu, China
| | - Xinyu Wang
- Nantong University Medical School, Nantong, Jiangsu, China
| | - Xinquan Wang
- Department of Medical Imaging, Affiliated Hospital of Nantong University, Jiangsu, China
| | - Yuan Zhang
- Department of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226000, Jiangsu, China
| | - Dmytro Pylypenko
- GE Healthcare, MR Research China, Beijing, People's Republic of China
| | - Li Yuan
- Department of Nephrology, Affiliated Hospital of Nantong University, Nantong, 226000, Jiangsu, China.
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Wang B, Wang Y, Wang J, Jin C, Zhou R, Guo J, Zhang H, Wang M. Multiparametric Magnetic Resonance Investigations on Acute and Long-Term Kidney Injury. J Magn Reson Imaging 2024; 59:43-57. [PMID: 37246343 DOI: 10.1002/jmri.28784] [Citation(s) in RCA: 4] [Impact Index Per Article: 4.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 06/26/2022] [Revised: 04/29/2023] [Accepted: 05/01/2023] [Indexed: 05/30/2023] Open
Abstract
Acute kidney injury (AKI) is a frequent complication of critical illness and carries a significant risk of short- and long-term mortality. The prediction of the progression of AKI to long-term injury has been difficult for renal disease treatment. Radiologists are keen for the early detection of transition from AKI to long-term kidney injury, which would help in the preventive measures. The lack of established methods for early detection of long-term kidney injury underscores the pressing needs of advanced imaging technology that reveals microscopic tissue alterations during the progression of AKI. Fueled by recent advances in data acquisition and post-processing methods of magnetic resonance imaging (MRI), multiparametric MRI is showing great potential as a diagnostic tool for many kidney diseases. Multiparametric MRI studies offer a precious opportunity for real-time noninvasive monitoring of pathological development and progression of AKI to long-term injury. It provides insight into renal vasculature and function (arterial spin labeling, intravoxel incoherent motion), tissue oxygenation (blood oxygen level-dependent), tissue injury and fibrosis (diffusion tensor imaging, diffusion kurtosis imaging, T1 and T2 mapping, quantitative susceptibility mapping). The multiparametric MRI approach is highly promising but the longitudinal investigation on the transition of AKI to irreversible long-term impairment is largely ignored. Further optimization and implementation of renal MR methods in clinical practice will enhance our comprehension of not only AKI but chronic kidney diseases. Novel imaging biomarkers for microscopic renal tissue alterations could be discovered and benefit the preventative interventions. This review explores recent MRI applications on acute and long-term kidney injury while addressing lingering challenges, with emphasis on the potential value of the development of multiparametric MRI for renal imaging on clinical systems. EVIDENCE LEVEL: 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Bin Wang
- Department of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
- Department of Medical Imaging, Shanxi Medical University, Taiyuan, Shanxi, China
| | - Yongfang Wang
- Department of Medical Imaging, First Hospital of Shanxi Medical University, Taiyuan, Shanxi, China
| | - Jing Wang
- Department of Nuclear Medicine and PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Chentao Jin
- Department of Nuclear Medicine and PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Rui Zhou
- Department of Nuclear Medicine and PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
| | - Jinxia Guo
- GE Healthcare, MR Research China, Beijing, China
| | - Hong Zhang
- Department of Nuclear Medicine and PET Center, The Second Hospital of Zhejiang University School of Medicine, Hangzhou, China
- Key Laboratory of Medical Molecular Imaging of Zhejiang Province, Hangzhou, China
- Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
| | - Min Wang
- Key Laboratory for Biomedical Engineering of Ministry of Education, Zhejiang University, Hangzhou, China
- College of Biomedical Engineering & Instrument Science, Zhejiang University, Hangzhou, China
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Mao W, Ding Y, Ding X, Fu C, Cao B, Nickel D, Zhou J, Zeng M. Value of T1 Mapping in the Non-invasive Assessment of Renal Pathologic Injury for Chronic Kidney Disease Patients. Magn Reson Med Sci 2023:mp.2023-0027. [PMID: 38143088 DOI: 10.2463/mrms.mp.2023-0027] [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: 12/26/2023] Open
Abstract
PURPOSE The objective of this study was to evaluate renal function and pathologic injury in chronic kidney disease (CKD) using T1 mapping. METHODS We recruited fifteen healthy volunteers (HV) and seventy-five CKD patients to undergo T1 mapping examination, and renal parenchymal T1 values were measured. Spearman correlation analysis was used to evaluate the relevance between the pathologic injury score, estimated glomerular filtration rate (eGFR), and renal parenchymal T1 values. The diagnostic efficiency of T1 value in evaluating renal pathologic impairment was assessed. RESULTS In all subjects, renal cortical T1 value was remarkably lower than renal medullary T1 value (P < 0.01). The renal medullary T1 value of HV was considerably lower than that of CKD patients in all stages (P < 0.05). The T1 values were negatively correlated with eGFR (cortex, r = -0.718; medulla, r = -0.645). The T1 values were positively correlated with glomerular injury score (cortex, r = 0.692; medulla, r = 0.632), tubulointerstitial injury score (cortex, r = 0.758; medulla, r = 0.690) (all P < 0.01). The area under the curve (AUC) of renal cortical and medullary T1 values were 0.914 and 0.880 to distinguish moderate-severe from mild renal injury groups. To differentiate mild renal injury group from control group, the AUC values of renal cortical and medullary T1 values were 0.879 and 0.856. CONCLUSION T1 mapping has potential application value in non-invasively assessing renal pathologic injury in CKD.
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Affiliation(s)
- Wei Mao
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China
| | - Yuqin Ding
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China
| | - Xiaoqiang Ding
- Department of Nephrology, Zhongshan Hospital, Fudan University, Shanghai, China
| | - Caixia Fu
- MR Applications Development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China
| | - Bohong Cao
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China
| | - Dominik Nickel
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Jianjun Zhou
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Fudan University, Shanghai Institute of Medical Imaging, Shanghai, China
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Abstract
As a sign of chronic kidney disease (CKD) progression, renal fibrosis is an irreversible and alarming pathological change. The accurate diagnosis of renal fibrosis depends on the widely used renal biopsy, but this diagnostic modality is invasive and can easily lead to sampling error. With the development of imaging techniques, an increasing number of noninvasive imaging techniques, such as multipara meter magnetic resonance imaging (MRI) and ultrasound elastography, have gained attention in assessing kidney fibrosis. Depending on their ability to detect changes in tissue stiffness and diffusion of water molecules, ultrasound elastography and some MRI techniques can indirectly assess the degree of fibrosis. The worsening of renal tissue oxygenation and perfusion measured by blood oxygenation level-dependent MRI and arterial spin labeling MRI separately is also an indirect reflection of renal fibrosis. Objective and quantitative indices of fibrosis may be available in the future by using novel techniques, such as photoacoustic imaging and fluorescence microscopy. However, these imaging techniques are susceptible to interference or may not be convenient. Due to the lack of sufficient specificity and sensitivity, these imaging techniques are neither widely accepted nor proposed by clinicians. These obstructions must be overcome by conducting technology research and more prospective studies. In this review, we emphasize the recent advancement of these noninvasive imaging techniques and provide clinicians a continuously updated perspective on the assessment of kidney fibrosis.
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Affiliation(s)
- Buchun Jiang
- Department of Nephrology, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, Hangzhou, China
| | - Fei Liu
- Department of Nephrology, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, Hangzhou, China
| | - Haidong Fu
- Department of Nephrology, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, Hangzhou, China,CONTACT Haidong Fu
| | - Jianhua Mao
- Department of Nephrology, The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, Hangzhou, China,Jianhua Mao The Children’s Hospital, Zhejiang University School of Medicine, National Clinical Research Center for Child Health, National Children’s Regional Medical Center, 3333 Bingsheng Rd, Hangzhou, Zhejiang310052, China
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Girometti R, Bertolotto M. Editorial for "Noninvasive Assessment of the Renal Function, Oxford Classification and Prognostic Risk Stratification of IgAN by Using Intravoxel Incoherent Motion Diffusion-Weighted Imaging and Blood Oxygenation Level-Dependent MRI". J Magn Reson Imaging 2023; 58:892-893. [PMID: 36651295 DOI: 10.1002/jmri.28598] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 01/02/2023] [Accepted: 01/03/2023] [Indexed: 01/19/2023] Open
Affiliation(s)
- Rossano Girometti
- Institute of Radiology, Department of Medicine (DAME), University of Udine, University Hospital S. Maria della Misericordia-Azienda Sanitaria Universitaria Friuli Centrale (ASU FC), Udine, Italy
| | - Michele Bertolotto
- Radiology Unit, Department of Medical, Surgical and Health Sciences, University of Trieste, University Hospital Cattinara-Azienda Sanitaria Universitaria Giuliano Isontina (ASU GI), Trieste, Italy
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Wei CG, Zeng Y, Zhang R, Zhu Y, Tu J, Pan P, Ma Q, Wei LY, Zhao WL, Shen JK. Native T 1 mapping for non-invasive quantitative evaluation of renal function and renal fibrosis in patients with chronic kidney disease. Quant Imaging Med Surg 2023; 13:5058-5071. [PMID: 37581045 PMCID: PMC10423339 DOI: 10.21037/qims-22-1304] [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: 11/27/2022] [Accepted: 05/12/2023] [Indexed: 08/16/2023]
Abstract
Background To investigate the role of native T1 mapping in the non-invasive quantitative assessment of renal function and renal fibrosis (RF) in chronic kidney disease (CKD) patients. Methods A prospective analysis of 71 consecutive patients [no RF (0%): 9 cases; mild RF (<25%): 36 cases; moderate RF (25-50%): 17 cases; severe RF (>50%): 9 cases] who were clinically diagnosed with CKD that was pathologically confirmed and who underwent magnetic resonance imaging (MRI) examination between October 2021 and September 2022 was performed. T1-C (mean cortical T1 value), T1-M (mean medullary T1 value), ΔT1 (mean corticomedullary difference) and T1% (mean corticomedullary ratio) values were compared. Correlations between T1 parameters and clinical and histopathological values were analyzed. Regression analysis was performed to determine independent predictors of RF. The areas under the receiver operating characteristic curve (AUC) were calculated to assess the diagnostic value of RF. Results The T1-C, ΔT1 and T1% values (P<0.05) were significantly different in the CKD group, but T1-M was not (P>0.05). The ΔT1 and T1% values showed significant differences in pairwise comparisons among CKD subgroups (P<0.05) except for CKD 2 and 3. ΔT1 and T1% were moderately correlated with the estimated glomerular filtration rate (ΔT1: rs=-0.561; T1%: r=-0.602), serum creatinine (ΔT1: rs=0.591; T1%: rs=0.563), blood urea nitrogen (ΔT1: rs=0.433; T1%: rs=0.435) and histopathological score (ΔT1: rs=0.630; T1%: rs=0.658). ΔT1 and T1%, but not T1-C, were independent predictors of RF (P<0.05). ΔT1 and T1% were set as -410.07 ms and 0.8222 with great specificity [ΔT1: 91.7% (77.5-98.2%); T1%: 97.2% (85.5-99.9%)] to identify mild RF and moderate-severe RF. The optimal cutoff values for differentiating severe RF from mild-moderate RF were -343.81 ms (ΔT1) and 0.8359 (T1%) with high sensitivity [both 100% (66.4-100%)] and specificity [ΔT1: 90.6% (79.3-96.9%); T1%: 94.3% (84.3-98.8%)]. Conclusions ΔT1 and T1% overwhelm T1-C for assessment of renal function and RF in CKD patients. ΔT1 and T1% identify patients with <25% and >50% fibrosis, which can guide clinical decision-making and help to avoid biopsy-related bleeding.
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Affiliation(s)
- Chao-Gang Wei
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Ying Zeng
- Department of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Rui Zhang
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Ye Zhu
- Department of Nephrology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Jian Tu
- Department of Pathology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Peng Pan
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Qing Ma
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Lan-Yi Wei
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Wen-Lu Zhao
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
| | - Jun-Kang Shen
- Department of Radiology, The Second Affiliated Hospital of Soochow University, Suzhou, China
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Hua C, Qiu L, Zhou L, Zhuang Y, Cai T, Xu B, Hao S, Fang X, Wang L, Jiang H. Value of multiparametric magnetic resonance imaging for evaluating chronic kidney disease and renal fibrosis. Eur Radiol 2023; 33:5211-5221. [PMID: 37148348 DOI: 10.1007/s00330-023-09674-1] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/08/2022] [Revised: 01/12/2023] [Accepted: 02/13/2023] [Indexed: 05/08/2023]
Abstract
OBJECTIVES To identify optimized MRI markers for evaluating chronic kidney disease (CKD) and renal interstitial fibrosis (IF). MATERIALS AND METHODS This prospective study included 43 patients with CKD and 20 controls. The CKD group was divided into mild and moderate-to-severe subgroups based on pathological results. Scanned sequences included T1 mapping, R2* mapping, intravoxel incoherent motion imaging, and diffusion-weighted imaging. One-way analyses of variance were used to compare MRI parameters among groups. Correlations of MRI parameters with estimated glomerular filtration rate (eGFR) and renal IF were analyzed using age as covariates. The support vector machine (SVM) model was used to evaluate the diagnostic efficacy of multiparametric MRI. RESULTS Compared to control values, renal cortical apparent diffusion coefficient (cADC), medullary ADC (mADC), cortical pure diffusion coefficient (cDt), medullary Dt (mDt), cortical shifted apparent diffusion coefficient (csADC), and medullary sADC (msADC) values gradually decreased in the mild and moderate-to-severe groups, while cortical T1 (cT1) and medullary T1 (mT1) values gradually increased. Values of cADC, mADC, cDt, mDt, cT1, mT1, csADC, and msADC were significantly associated with eGFR and IF (p < 0.001). The SVM model indicated that multiparametric MRI combining cT1 and csADC can distinguish patients with CKD from controls with high accuracy (0.84), sensitivity (0.70), and specificity (0.92) (AUC: 0.96). Multiparametric MRI combining cT1 and cADC exhibited high accuracy (0.91), sensitivity (0.95), and specificity (0.81) for evaluating IF severity (AUC: 0.96). CONCLUSION Multiparametric MRI combining T1 mapping and diffusion imaging may be of clinical utility in non-invasive assessment of CKD and IF. CLINICAL RELEVANCE STATEMENT This study shows that multiparametric MRI combining T1 mapping and diffusion imaging may be clinically useful in the non-invasive assessment of chronic kidney disease (CKD) and interstitial fibrosis; this could provide information for risk stratification, diagnosis, treatment, and prognosis. KEY POINTS • Optimized MRI markers for evaluating chronic kidney disease and renal interstitial fibrosis were investigated. • Renal cortex/medullary T1 values increased as interstitial fibrosis increased; cortical shifted apparent diffusion coefficient (csADC) correlated significantly with eGFR and interstitial fibrosis. • Support vector machine (SVM) combining cortical T1 (cT1) and csADC/cADC effectively identifies chronic kidney disease and accurately predicts renal interstitial fibrosis.
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Affiliation(s)
- Chenchen Hua
- Diagnostic Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China
- Department of Diagnostic Radiology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China
| | - Lu Qiu
- Department of Diagnostic Radiology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China
| | - Leting Zhou
- Department of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China
| | - Yi Zhuang
- Department of Diagnostic Radiology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China
| | - Ting Cai
- Department of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China
| | - Bin Xu
- Diagnostic Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China
| | - Shaowei Hao
- Siemens Healthineers Digital Technology (Shanghai) CO., Ltd, Shanghai, China
| | - Xiangming Fang
- Diagnostic Radiology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China
| | - Liang Wang
- Department of Nephrology, The Affiliated Wuxi People's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China.
| | - Haoxiang Jiang
- Department of Diagnostic Radiology, The Affiliated Wuxi Children's Hospital of Nanjing Medical University, No. 299 Qingyang Road, Wuxi, China.
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Friedli I, Baid-Agrawal S, Unwin R, Morell A, Johansson L, Hockings PD. Magnetic Resonance Imaging in Clinical Trials of Diabetic Kidney Disease. J Clin Med 2023; 12:4625. [PMID: 37510740 PMCID: PMC10380287 DOI: 10.3390/jcm12144625] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/29/2023] [Revised: 06/28/2023] [Accepted: 07/04/2023] [Indexed: 07/30/2023] Open
Abstract
Chronic kidney disease (CKD) associated with diabetes mellitus (DM) (known as diabetic kidney disease, DKD) is a serious and growing healthcare problem worldwide. In DM patients, DKD is generally diagnosed based on the presence of albuminuria and a reduced glomerular filtration rate. Diagnosis rarely includes an invasive kidney biopsy, although DKD has some characteristic histological features, and kidney fibrosis and nephron loss cause disease progression that eventually ends in kidney failure. Alternative sensitive and reliable non-invasive biomarkers are needed for DKD (and CKD in general) to improve timely diagnosis and aid disease monitoring without the need for a kidney biopsy. Such biomarkers may also serve as endpoints in clinical trials of new treatments. Non-invasive magnetic resonance imaging (MRI), particularly multiparametric MRI, may achieve these goals. In this article, we review emerging data on MRI techniques and their scientific, clinical, and economic value in DKD/CKD for diagnosis, assessment of disease pathogenesis and progression, and as potential biomarkers for clinical trial use that may also increase our understanding of the efficacy and mode(s) of action of potential DKD therapeutic interventions. We also consider how multi-site MRI studies are conducted and the challenges that should be addressed to increase wider application of MRI in DKD.
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Affiliation(s)
- Iris Friedli
- Antaros Medical, BioVenture Hub, 43183 Mölndal, Sweden
| | - Seema Baid-Agrawal
- Transplant Center, Sahlgrenska University Hospital, University of Gothenburg, 41345 Gothenburg, Sweden
| | - Robert Unwin
- AstraZeneca R&D BioPharmaceuticals, Translational Science and Experimental Medicine, Early Cardiovascular, Renal & Metabolic Diseases (CVRM), Granta Park, Cambridge CB21 6GH, UK
| | - Arvid Morell
- Antaros Medical, BioVenture Hub, 43183 Mölndal, Sweden
| | | | - Paul D Hockings
- Antaros Medical, BioVenture Hub, 43183 Mölndal, Sweden
- MedTech West, Chalmers University of Technology, 41345 Gothenburg, Sweden
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Rasmussen CW, Bøgh N, Bech SK, Thorsen TH, Hansen ESS, Bertelsen LB, Laustsen C. Fibrosis imaging with multiparametric proton and sodium MRI in pig injury models. NMR IN BIOMEDICINE 2023; 36:e4838. [PMID: 36151711 PMCID: PMC10078455 DOI: 10.1002/nbm.4838] [Citation(s) in RCA: 6] [Impact Index Per Article: 6.0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/14/2022] [Revised: 09/10/2022] [Accepted: 09/12/2022] [Indexed: 05/10/2023]
Abstract
Chronic kidney disease (CKD) is common and has huge implications for health and mortality. It is aggravated by intrarenal fibrosis, but the assessment of fibrosis is limited to kidney biopsies, which carry a risk of complications and sampling errors. This calls for a noninvasive modality for diagnosing and staging intrarenal fibrosis. The current, exploratory study evaluates a multiparametric MRI protocol including sodium imaging (23 Na-MRI) to determine the opportunities within this modality to assess kidney injury as a surrogate endpoint of fibrosis. The study includes 43 pigs exposed to ischemia-reperfusion injury (IRI) or unilateral ureteral obstruction (UUO), or serving as healthy controls. Fibrosis was determined using gene expression analysis of collagen. The medulla/cortex ratio of 23 Na-MRI decreased in the injured kidney in the IRI pigs, but not in the UUO pigs (p = 0.0180, p = 0.0754). To assess the combination of MRI parameters in estimating fibrosis, we created a linear regression model consisting of the cortical apparent diffusion coefficient, ΔR2*, ΔT1, the 23 Na medulla/cortex ratio, and plasma creatinine (R2 = 0.8009, p = 0.0117). The 23 Na medulla/cortex ratio only slightly improved the fibrosis prediction model, leaving 23 Na-MRI in an ambiguous place for evaluation of intrarenal fibrosis. Use of multiparametric MRI in combination with plasma creatinine shows potential for the estimation of fibrosis in human kidney disease, but more translational and clinical work is warranted before MRI can contribute to earlier diagnosis and evaluation of treatment for acute kidney injury and CKD.
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Affiliation(s)
- Camilla W. Rasmussen
- The MR Research Center, Department of Clinical MedicineAarhus UniversityAarhusDenmark
| | - Nikolaj Bøgh
- The MR Research Center, Department of Clinical MedicineAarhus UniversityAarhusDenmark
| | - Sabrina K. Bech
- The MR Research Center, Department of Clinical MedicineAarhus UniversityAarhusDenmark
| | - Thomas H. Thorsen
- The MR Research Center, Department of Clinical MedicineAarhus UniversityAarhusDenmark
| | - Esben S. S. Hansen
- The MR Research Center, Department of Clinical MedicineAarhus UniversityAarhusDenmark
| | - Lotte B. Bertelsen
- The MR Research Center, Department of Clinical MedicineAarhus UniversityAarhusDenmark
| | - Christoffer Laustsen
- The MR Research Center, Department of Clinical MedicineAarhus UniversityAarhusDenmark
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11
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Mao W, Ding X, Ding Y, Cao B, Fu C, Kuehn B, Benkert T, Grimm R, Nickel D, Zhou J, Zeng M. Evaluation of interstitial fibrosis in chronic kidney disease by multiparametric functional MRI and histopathologic analysis. Eur Radiol 2022; 33:4138-4147. [PMID: 36502460 DOI: 10.1007/s00330-022-09329-7] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 05/18/2022] [Revised: 09/27/2022] [Accepted: 11/28/2022] [Indexed: 12/14/2022]
Abstract
OBJECTIVES To investigate the diagnostic value of functional MRI to assess renal interstitial fibrosis in patients with chronic kidney disease (CKD). METHODS We prospectively recruited 80 CKD patients who underwent renal biopsies and 16 healthy volunteers to undergo multiparametric functional MRI examinations. The Oxford MEST-C classification was used to score the interstitial fibrosis. The diagnostic performance of functional MRI to discriminate interstitial fibrosis was evaluated by calculating the area under the receiver operating characteristic (ROC) curves. RESULTS IgA nephropathy (60%) accounted for the majority of pathologic type in the CKD patients. Apparent diffusion coefficient (ADC) from diffusion-weighted imaging (DWI) was correlated with interstitial fibrosis (rho = -0.73). Decreased renal blood flow (RBF) derived from arterial spin labeling (rho = -0.78) and decreased perfusion fraction (f) derived from DWI (rho = -0.70) were accompanied by increased interstitial fibrosis. The T1 value from T1 mapping correlated with interstitial fibrosis (rho = 0.67) (all p < 0.01). The areas under the ROC curve for the discrimination of ≤ 25% vs. > 25% and ≤ 50% vs. > 50% interstitial fibrosis were 0.87 (95% confidence interval, 0.78 to 0.94) and 0.93 (0.86 to 0.98) by ADC, 0.84 (0.74 to 0.91) and 0.94 (0.86 to 0.98) by f, 0.93 (0.85 to 0.98) and 0.90 (0.82 to 0.96) by RBF, and 0.91 (0.83 to 0.96) and 0.77 (0.66 to 0.85) by T1, respectively. CONCLUSIONS Functional MRI parameters were strongly correlated with the interstitial fibrosis of CKD. Therefore, it might a powerful tool to assess interstitial fibrosis of CKD noninvasively. KEY POINTS • In CKD patients, the renal cortical ADC value decreased and T1 value increased significantly compared with healthy volunteers. • Functional MRI revealed significantly decreased renal perfusion in CKD patients compared with healthy volunteers. • The renal cortical ADC, f, RBF, and T1 values were strongly correlated with the interstitial fibrosis of CKD.
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Affiliation(s)
- Wei Mao
- Department of Radiology, Zhongshan Hospital, Shanghai Institute of Medical Imaging, Fudan University, 180, Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Xiaoqiang Ding
- Department of Nephrology, Zhongshan Hospital, Fudan University, 180 Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Yuqin Ding
- Department of Radiology, Zhongshan Hospital, Shanghai Institute of Medical Imaging, Fudan University, 180, Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Bohong Cao
- Department of Radiology, Zhongshan Hospital, Shanghai Institute of Medical Imaging, Fudan University, 180, Fenglin Road, Shanghai, 200032, People's Republic of China
| | - Caixia Fu
- MR Applications Development, Siemens Shenzhen Magnetic Resonance Ltd, Shenzhen, China
| | - Bernd Kuehn
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Thomas Benkert
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Robert Grimm
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Dominik Nickel
- MR Application Predevelopment, Siemens Healthcare GmbH, Erlangen, Germany
| | - Jianjun Zhou
- Department of Radiology, Zhongshan Hospital, Shanghai Institute of Medical Imaging, Fudan University, 180, Fenglin Road, Shanghai, 200032, People's Republic of China.
- Department of Radiology, Zhongshan Hospital, Xiamen Branch, Fudan University, Xiamen, China.
| | - Mengsu Zeng
- Department of Radiology, Zhongshan Hospital, Shanghai Institute of Medical Imaging, Fudan University, 180, Fenglin Road, Shanghai, 200032, People's Republic of China.
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12
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Nyström NN, Liu H, Martinez FM, Zhang XA, Scholl TJ, Ronald JA. Gadolinium-free Magnetic Resonance Imaging of the Liver via an Oatp1-Targeted Manganese(III) Porphyrin. J Med Chem 2022; 65:9846-9857. [PMID: 35852350 DOI: 10.1021/acs.jmedchem.2c00500] [Citation(s) in RCA: 10] [Impact Index Per Article: 5.0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 10/17/2022]
Abstract
Controversy surrounding gadolinium-based contrast agents (GBCAs) has rendered their continued utility highly contentious, but the liver-specific GBCA Gd(III) ethoxybenzyl-diethylene triamine pentaacetic acid (Gd(III)-EOB-DTPA) remains in use because it provides unique diagnostic information that could not be obtained by any other means. To address the need for an alternate liver-specific MRI probe, we synthesized Mn(III) 20-(4-ethoxyphenyl) porphyrin-5,10,15-tricarboxylate (Mn(III)TriCP-PhOEt), which exhibited significantly higher r1 relaxivity than Gd(III)-EOB-DTPA in vitro, while also targeting hepatocyte-specific organic anion-transporting polypeptide 1 (Oatp1) channels as a marker of viability. In mice, Mn(III)TriCP-PhOEt resulted in significant and specific increases in liver signal intensity on T1-weighted images and significant decreases in liver T1 time relative to pre-contrast measurements. Our findings suggest that Mn(III)TriCP-PhOEt operates as a specific and sensitive MR probe for Oatp1-targeted imaging in vivo.
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Affiliation(s)
- Nivin N Nyström
- Department of Medical Biophysics, University of Western Ontario, London N6A 3K7, Ontario, Canada
- Imaging Research Laboratories, Robarts Research Institute, Western University, London N6A 3K7, Ontario, Canada
| | - Hanlin Liu
- Department of Chemistry, University of Toronto, Toronto M5S 1A4, Ontario, Canada
- Department of Physical and Environmental Sciences, University of Toronto, Toronto M5S 1A4, Ontario, Canada
| | - Francisco M Martinez
- Imaging Research Laboratories, Robarts Research Institute, Western University, London N6A 3K7, Ontario, Canada
| | - Xiao-An Zhang
- Department of Chemistry, University of Toronto, Toronto M5S 1A4, Ontario, Canada
- Department of Physical and Environmental Sciences, University of Toronto, Toronto M5S 1A4, Ontario, Canada
| | - Timothy J Scholl
- Department of Medical Biophysics, University of Western Ontario, London N6A 3K7, Ontario, Canada
- Imaging Research Laboratories, Robarts Research Institute, Western University, London N6A 3K7, Ontario, Canada
- Ontario Institute for Cancer Research, Toronto M5G 0A3, Ontario, Canada
| | - John A Ronald
- Department of Medical Biophysics, University of Western Ontario, London N6A 3K7, Ontario, Canada
- Imaging Research Laboratories, Robarts Research Institute, Western University, London N6A 3K7, Ontario, Canada
- Lawson Health Research Institute, London N6C 2R5, Ontario, Canada
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13
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Tadimalla S, Wilson DJ, Shelley D, Bainbridge G, Saysell M, Mendichovszky IA, Graves MJ, Guthrie JA, Waterton JC, Parker GJM, Sourbron SP. Bias, Repeatability and Reproducibility of Liver T 1 Mapping With Variable Flip Angles. J Magn Reson Imaging 2022; 56:1042-1052. [PMID: 35224803 PMCID: PMC9545852 DOI: 10.1002/jmri.28127] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/24/2021] [Revised: 02/09/2022] [Accepted: 02/10/2022] [Indexed: 12/16/2022] Open
Abstract
Background Three‐dimensional variable flip angle (VFA) methods are commonly used for T1 mapping of the liver, but there is no data on the accuracy, repeatability, and reproducibility of this technique in this organ in a multivendor setting. Purpose To measure bias, repeatability, and reproducibility of VFA T1 mapping in the liver. Study Type Prospective observational. Population Eight healthy volunteers, four women, with no known liver disease. Field Strength/Sequence 1.5‐T and 3.0‐T; three‐dimensional steady‐state spoiled gradient echo with VFAs; Look‐Locker. Assessment Traveling volunteers were scanned twice each (30 minutes to 3 months apart) on six MRI scanners from three vendors (GE Healthcare, Philips Medical Systems, and Siemens Healthineers) at two field strengths. The maximum period between the first and last scans among all volunteers was 9 months. Volunteers were instructed to abstain from alcohol intake for at least 72 hours prior to each scan and avoid high cholesterol foods on the day of the scan. Statistical Tests Repeated measures ANOVA, Student t‐test, Levene's test of variances, and 95% significance level. The percent error relative to literature liver T1 in healthy volunteers was used to assess bias. The relative error (RE) due to intrascanner and interscanner variation in T1 measurements was used to assess repeatability and reproducibility. Results The 95% confidence interval (CI) on the mean bias and mean repeatability RE of VFA T1 in the healthy liver was 34 ± 6% and 10 ± 3%, respectively. The 95% CI on the mean reproducibility RE at 1.5 T and 3.0 T was 29 ± 7% and 25 ± 4%, respectively. Data Conclusion Bias, repeatability, and reproducibility of VFA T1 mapping in the liver in a multivendor setting are similar to those reported for breast, prostate, and brain. Level of Evidence 1 Technical Efficacy Stage 1
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Affiliation(s)
- Sirisha Tadimalla
- Institute of Medical Physics, University of Sydney, Sydney, Australia.,Department of Biomedical Imaging Sciences, University of Leeds, Leeds, UK
| | | | | | | | | | | | - Martin J Graves
- Department of Radiology, University of Cambridge, Cambridge, UK
| | | | - John C Waterton
- Bioxydyn Ltd, Manchester, UK.,Centre for Imaging Sciences, Division of Informatics Imaging and Data Sciences, School of Health Sciences, Faculty of Biology Medicine and Health, University of Manchester, Manchester Academic Health Sciences Centre, Manchester, UK
| | - Geoffrey J M Parker
- Bioxydyn Ltd, Manchester, UK.,Centre for Medical Image Computing, Department of Medical Physics and Biomedical Engineering, University College London, London, UK
| | - Steven P Sourbron
- Department of Infection, Immunity and Cardiovascular Disease, University of Sheffield, Sheffield, UK
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14
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Wu Q, Sun S, Wei L, Liu M, Liu H, Liu T, Zhou Y, Jia Q, Wang D, Yang Z, Duan M, Yang X, Gao P, Ning X. Twist1 regulates macrophage plasticity to promote renal fibrosis through galectin-3. Cell Mol Life Sci 2022; 79:137. [PMID: 35182235 PMCID: PMC8858306 DOI: 10.1007/s00018-022-04137-0] [Citation(s) in RCA: 25] [Impact Index Per Article: 12.5] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Revised: 12/21/2021] [Accepted: 01/05/2022] [Indexed: 11/28/2022]
Abstract
Renal interstitial fibrosis is the pathological basis of end-stage renal disease, in which the heterogeneity of macrophages in renal microenvironment plays an important role. However, the molecular mechanisms of macrophage plasticity during renal fibrosis progression remain unclear. In this study, we found for the first time that increased expression of Twist1 in macrophages was significantly associated with the severity of renal fibrosis in IgA nephropathy patients and mice with unilateral ureteral obstruction (UUO). Ablation of Twist1 in macrophages markedly alleviated renal tubular injury and renal fibrosis in UUO mice, accompanied by a lower extent of macrophage infiltration and M2 polarization in the kidney. The knockdown of Twist1 inhibited the chemotaxis and migration of macrophages, at least partially, through the CCL2/CCR2 axis. Twist1 downregulation inhibited M2 macrophage polarization and reduced the secretion of the profibrotic factors Arg-1, MR (CD206), IL-10, and TGF-β. Galectin-3 was decreased in the macrophages of the conditional Twist1-deficient mice, and Twist1 was shown to directly activate galectin-3 transcription. Up-regulation of galectin-3 recovered Twist1-mediated M2 macrophage polarization. In conclusion, Twist1/galectin-3 signaling regulates macrophage plasticity (M2 phenotype) and promotes renal fibrosis. This study could suggest new strategies for delaying kidney fibrosis in patients with chronic kidney disease.
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Affiliation(s)
- Qingfeng Wu
- Department of Geriatrics, Xijing Hospital, Fourth Military Medical University, No. 127 Chang le West Road, Xi'an, 710032, Shaanxi, China.,Department of Geriatrics, Ninth Hospital of Xi'an City, Xi'an, 710054, Shaanxi, China
| | - Shiren Sun
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.,State Key Laboratory of Cancer Biology, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Lei Wei
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Minna Liu
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Hao Liu
- State Key Laboratory of Cancer Biology, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Ting Liu
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Ying Zhou
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Qing Jia
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Di Wang
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Zhen Yang
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Menglu Duan
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Xiaoxia Yang
- Department of Nephrology, Xijing Hospital, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China
| | - Peisong Gao
- Division of Allergy and Clinical Immunology, Johns Hopkins University School of Medicine, Johns Hopkins Asthma and Allergy Center, 5501 Hopkins Bayview Circle, Room 2B. 71B, Baltimore, MD, 21224, USA.,Johns Hopkins Asthma and Allergy Center, 5501 Hopkins Bayview Circle, Room 3B.71, Baltimore, MD, 21224, USA
| | - Xiaoxuan Ning
- Department of Geriatrics, Xijing Hospital, Fourth Military Medical University, No. 127 Chang le West Road, Xi'an, 710032, Shaanxi, China. .,State Key Laboratory of Cancer Biology, Fourth Military Medical University, Xi'an, 710032, Shaanxi, China.
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15
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Wu J, Shi Z, Zhang Y, Yan J, Shang F, Wang Y, Lu H, Gu H, Dou W, Wang X, Yuan L. Native T1 Mapping in Assessing Kidney Fibrosis for Patients With Chronic Glomerulonephritis. Front Med (Lausanne) 2021; 8:772326. [PMID: 34733870 PMCID: PMC8558353 DOI: 10.3389/fmed.2021.772326] [Citation(s) in RCA: 9] [Impact Index Per Article: 3.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Subscribe] [Scholar Register] [Received: 09/07/2021] [Accepted: 09/23/2021] [Indexed: 11/13/2022] Open
Abstract
Purpose: To assess the utility of non-contrast enhanced native T1 mapping of the renal cortex in assessing renal fibrosis for patients with chronic glomerulonephritis (CGN). Methods: A total of 119 patients with CGN and 19 healthy volunteers (HVs) were recruited for this study. Among these patients, 43 had undergone kidney biopsy measurements. Clinical information and biopsy pathological scores were collected. According to the results of the renal biopsy, the patients were classified into the high (25-50%), low (<25%) and no renal interstitial fibrosis (IF) (0%) groups. The correlations between the T1 value in the renal cortex and each of the clinical parameters were separately analyzed. The relationships between each fibrosis group and the T1 value were also evaluated and compared between groups. Binary logistic regression analysis was further used to determine the relationship between the T1 value and renal fibrosis. Receiver operating characteristic (ROC) curves were plotted to analyze the diagnostic value of the T1 value for renal fibrosis. Results: Compared with those of the HVs, the T1 values were significantly higher in patients at all stages of chronic kidney disease (CKD) (all p < 0.05). Significant T1 differences were also revealed between patients with different stages of CKD (p < 0.05). Additionally, the T1 value correlated well with CKD stage (p < 0.05), except between CKD 2 and 3. In addition, the T1 value was positively correlated with cystatin C, neutrophil gelatinase-associated lipocalin, and serum creatinine and negatively correlated with hemoglobin, kidney length, estimated glomerular filtration rate and hematocrit (all p < 0.05). Compared with those of the no IF group, the T1 values were increased in the low- and high-IF groups (both p < 0.05). Logistic regression analysis showed that an elevated T1 value was an independent risk factor for renal fibrosis. ROC analysis suggested that the optimal critical value of T1 for predicting renal fibrosis was 1,695 ms, with a specificity of 0.778 and a sensitivity of 0.625. Conclusion: Native T1 mapping demonstrated good diagnostic performance in evaluating renal function and was an effective noninvasive method for detecting renal fibrosis in CGN patients.
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Affiliation(s)
- Jianhua Wu
- Department of Nephrology, Affiliated Hospital of Nantong University, Jiangsu, China
| | - Zhaoyu Shi
- Department of Nephrology, Affiliated Hospital of Nantong University, Jiangsu, China
| | - Yuan Zhang
- Department of Nephrology, Affiliated Hospital of Nantong University, Jiangsu, China
| | - Jiaxin Yan
- Department of Ultrasound Medicine, The Second Affiliated Hospital of Nantong University, Jiangsu, China
| | - Fangfang Shang
- Department of Nephrology, Affiliated Hospital of Nantong University, Jiangsu, China
| | - Yao Wang
- Department of Nephrology, Affiliated Hospital of Nantong University, Jiangsu, China
| | - Huijian Lu
- Department of Medical Imaging, Affiliated Hospital of Nantong University, Jiangsu, China
| | - Hongmei Gu
- Department of Medical Imaging, Affiliated Hospital of Nantong University, Jiangsu, China
| | | | - Xinquan Wang
- Department of Medical Imaging, Affiliated Hospital of Nantong University, Jiangsu, China
| | - Li Yuan
- Department of Nephrology, Affiliated Hospital of Nantong University, Jiangsu, China
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16
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Jiang J, Cui L, Xiao Y, Zhou X, Fu Y, Xu G, Shao W, Chen W, Hu S, Hu C, Hao S. B 1 -Corrected T1 Mapping in Lung Cancer: Repeatability, Reproducibility, and Identification of Histological Types. J Magn Reson Imaging 2021; 54:1529-1540. [PMID: 34291852 DOI: 10.1002/jmri.27844] [Citation(s) in RCA: 3] [Impact Index Per Article: 1.0] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 03/27/2021] [Revised: 07/04/2021] [Accepted: 07/06/2021] [Indexed: 11/11/2022] Open
Abstract
BACKGROUND T1 mapping can potentially quantitatively assess the intrinsic properties of tumors. B1 correction can reduce the magnetic field inhomogeneity. PURPOSE To assess the repeatability and reproducibility of B1 -corrected T1 mapping for lung cancer and the ability to identify pathological types. STUDY TYPE Prospective reproducibility study. POPULATION Sixty lung cancer patients (22 with emphysema) with a total of 60 lesions (adenocarcinoma [n = 23], squamous cell carcinoma [n = 19], and small-cell lung cancer [SCLC] [n = 18]). FIELD STRENGTH/SEQUENCE A 3 T/B1 -corrected 3D variable flip angle T1 mapping and free-breathing diffusion-weighted imaging. ASSESSMENT Intraobserver, interobserver, and test-retest reproducibility of minimum, maximum, mean, and SD of lung tumor T1 values were assessed. The correlation between mean T1 and apparent diffusion coefficient (ADC) and differences between different histological types of lung cancer were evaluated. STATISTICAL TESTS Intraclass correlation coefficients (ICCs), within-subject coefficients of variation (WCVs), Bland-Altman plots, Pearson's correlation coefficient (r), and analysis of variance (ANOVA). A P value <0.05 was considered to be statistically significant. RESULTS No significant differences were found in minimum, maximum, mean, and SD T1 values for repeated measurements (intraobserver and interobserver) and repeated examinations (P = 0.103-0.979). All parameters showed good intraobserver, interobserver and test-retest reproducibility (ICC, 0.780-0.978), except the maximum T1 value (ICC, 0.645-0.922). The mean T1 exhibited the best reproducibility and repeatability, with an average difference <6% for repeated measurements, <8% for repeated scans in lung cancer patients, and<10% for repeated scans in those with emphysema. The mean T1 correlated moderately with ADC (r = -0.580, -0.516, and -0.511 for observers A, B, and C). Both mean T1 and mean ADC were significantly different in SCLC patients compared with those in adenocarcinoma and squamous cell carcinoma patients. DATA CONCLUSION The mean T1 from B1 -corrected T1 mapping is a repeatable parameter with the potential to identify histological types of lung cancer and thus may be a promising imaging biomarker for characterizing lung cancer. EVIDENCE LEVEL 1 TECHNICAL EFFICACY: Stage 2.
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Affiliation(s)
- Jianqin Jiang
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.,Department of Radiology, Affiliated Hospital 4 of Nantong University and The First people's Hospital of Yancheng, Yancheng, China
| | - Lei Cui
- Department of Radiology, Affiliated Hospital 2 of Nantong University, Nantong, China
| | - Yong Xiao
- Department of Radiology, Affiliated Hospital 4 of Nantong University and The First people's Hospital of Yancheng, Yancheng, China
| | - Xiao Zhou
- Department of Radiology, Affiliated Hospital 4 of Nantong University and The First people's Hospital of Yancheng, Yancheng, China
| | - Yigang Fu
- Department of Radiology, Affiliated Hospital 4 of Nantong University and The First people's Hospital of Yancheng, Yancheng, China
| | - Gaofeng Xu
- Department of Radiology, Affiliated Hospital 4 of Nantong University and The First people's Hospital of Yancheng, Yancheng, China
| | - Weiwei Shao
- Department of Pathology, Affiliated Hospital 4 of Nantong University and The First people's Hospital of Yancheng, Yancheng, China
| | - Wang Chen
- Department of Radiology, Affiliated Hospital 4 of Nantong University and The First people's Hospital of Yancheng, Yancheng, China
| | - Su Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Medical Imaging, Soochow University, Suzhou, China
| | - Chunhong Hu
- Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, China.,Institute of Medical Imaging, Soochow University, Suzhou, China
| | - Shaowei Hao
- Siemens Healthineers Digital Technology Co., Ltd, Shanghai, China
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17
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Srivastava A, Tomar B, Prajapati S, Gaikwad AB, Mulay SR. Advanced non-invasive diagnostic techniques for visualization and estimation of kidney fibrosis. Drug Discov Today 2021; 26:2053-2063. [PMID: 33617976 DOI: 10.1016/j.drudis.2021.02.016] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.3] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/06/2020] [Revised: 12/22/2020] [Accepted: 02/12/2021] [Indexed: 12/17/2022]
Abstract
Kidney fibrosis is marked by excessive extracellular matrix deposition during disease progression. Unfortunately, existing kidney function parameters do not predict the extent of kidney fibrosis. Moreover, the traditional histology methods for the assessment of kidney fibrosis require liquid and imaging biomarkers as well as needle-based biopsies, which are invasive and often associated with kidney injury. The repetitive analyses required to monitor the disease progression are therefore difficult. Hence, there is an unmet medical need for non-invasive and informative diagnostic approaches to monitor kidney fibrosis during the progression of chronic kidney disease. Here, we summarize the modern advances in diagnostic imaging techniques that have shown promise for non-invasive estimation of kidney fibrosis in pre-clinical and clinical studies.
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Affiliation(s)
- Anjali Srivastava
- Division of Pharmacology, CSIR-Central Drug Research Institute, Lucknow, 226031, India
| | - Bhawna Tomar
- Division of Pharmacology, CSIR-Central Drug Research Institute, Lucknow, 226031, India
| | - Smita Prajapati
- Division of Pharmacology, CSIR-Central Drug Research Institute, Lucknow, 226031, India
| | - Anil Bhanudas Gaikwad
- Department of Pharmacy, Birla Institute of Technology and Science Pilani, Pilani Campus, 333031, India
| | - Shrikant R Mulay
- Division of Pharmacology, CSIR-Central Drug Research Institute, Lucknow, 226031, India.
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18
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Raman B, Cassar MP, Tunnicliffe EM, Filippini N, Griffanti L, Alfaro-Almagro F, Okell T, Sheerin F, Xie C, Mahmod M, Mózes FE, Lewandowski AJ, Ohuma EO, Holdsworth D, Lamlum H, Woodman MJ, Krasopoulos C, Mills R, McConnell FAK, Wang C, Arthofer C, Lange FJ, Andersson J, Jenkinson M, Antoniades C, Channon KM, Shanmuganathan M, Ferreira VM, Piechnik SK, Klenerman P, Brightling C, Talbot NP, Petousi N, Rahman NM, Ho LP, Saunders K, Geddes JR, Harrison PJ, Pattinson K, Rowland MJ, Angus BJ, Gleeson F, Pavlides M, Koychev I, Miller KL, Mackay C, Jezzard P, Smith SM, Neubauer S. Medium-term effects of SARS-CoV-2 infection on multiple vital organs, exercise capacity, cognition, quality of life and mental health, post-hospital discharge. EClinicalMedicine 2021; 31:100683. [PMID: 33490928 PMCID: PMC7808914 DOI: 10.1016/j.eclinm.2020.100683] [Citation(s) in RCA: 354] [Impact Index Per Article: 118.0] [Reference Citation Analysis] [Abstract] [Key Words] [Grants] [Track Full Text] [Download PDF] [Figures] [Journal Information] [Submit a Manuscript] [Subscribe] [Scholar Register] [Received: 09/17/2020] [Revised: 11/22/2020] [Accepted: 11/26/2020] [Indexed: 02/06/2023] Open
Abstract
BACKGROUND The medium-term effects of Coronavirus disease (COVID-19) on organ health, exercise capacity, cognition, quality of life and mental health are poorly understood. METHODS Fifty-eight COVID-19 patients post-hospital discharge and 30 age, sex, body mass index comorbidity-matched controls were enrolled for multiorgan (brain, lungs, heart, liver and kidneys) magnetic resonance imaging (MRI), spirometry, six-minute walk test, cardiopulmonary exercise test (CPET), quality of life, cognitive and mental health assessments. FINDINGS At 2-3 months from disease-onset, 64% of patients experienced breathlessness and 55% reported fatigue. On MRI, abnormalities were seen in lungs (60%), heart (26%), liver (10%) and kidneys (29%). Patients exhibited changes in the thalamus, posterior thalamic radiations and sagittal stratum on brain MRI and demonstrated impaired cognitive performance, specifically in the executive and visuospatial domains. Exercise tolerance (maximal oxygen consumption and ventilatory efficiency on CPET) and six-minute walk distance were significantly reduced. The extent of extra-pulmonary MRI abnormalities and exercise intolerance correlated with serum markers of inflammation and acute illness severity. Patients had a higher burden of self-reported symptoms of depression and experienced significant impairment in all domains of quality of life compared to controls (p<0.0001 to 0.044). INTERPRETATION A significant proportion of patients discharged from hospital reported symptoms of breathlessness, fatigue, depression and had limited exercise capacity. Persistent lung and extra-pulmonary organ MRI findings are common in patients and linked to inflammation and severity of acute illness. FUNDING NIHR Oxford and Oxford Health Biomedical Research Centres, British Heart Foundation Centre for Research Excellence, UKRI, Wellcome Trust, British Heart Foundation.
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Affiliation(s)
- Betty Raman
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
- Radcliffe Department of Medicine, British Heart Foundation Centre for Research Excellence, University of Oxford, Oxford, United Kingdom
| | - Mark Philip Cassar
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Elizabeth M. Tunnicliffe
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Nicola Filippini
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Ludovica Griffanti
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Fidel Alfaro-Almagro
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Thomas Okell
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Fintan Sheerin
- Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
| | - Cheng Xie
- Department of Radiology, Oxford University Hospitals NHS Foundation Trust, Oxford, United Kingdom
- Centre for Tropical Medicine and Global Health, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Masliza Mahmod
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Ferenc E. Mózes
- Oxford Centre for Clinical Magnetic Resonance Research, Radcliffe Department of Medicine, John Radcliffe Hospital Oxford, University of Oxford, Oxford, United Kingdom
| | - Adam J. Lewandowski
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Eric O. Ohuma
- Maternal, Adolescent, Reproductive & Child Health (MARCH) Centre, London School of Hygiene & Tropical Medicine (LSHTM), London, United Kingdom
| | - David Holdsworth
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
| | - Hanan Lamlum
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Myles J. Woodman
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Catherine Krasopoulos
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Rebecca Mills
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Flora A. Kennedy McConnell
- Division of Clinical Neuroscience, Faculty of Medicine & Health Sciences, University of Nottingham, Nottingham, United Kingdom
| | - Chaoyue Wang
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Christoph Arthofer
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Frederik J. Lange
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Jesper Andersson
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Mark Jenkinson
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Charalambos Antoniades
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
- Radcliffe Department of Medicine, British Heart Foundation Centre for Research Excellence, University of Oxford, Oxford, United Kingdom
| | - Keith M. Channon
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
- Radcliffe Department of Medicine, British Heart Foundation Centre for Research Excellence, University of Oxford, Oxford, United Kingdom
| | - Mayooran Shanmuganathan
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Vanessa M. Ferreira
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Stefan K. Piechnik
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
| | - Paul Klenerman
- Nuffield Department of Medicine, NIHR Oxford BRC, University of Oxford, Oxford, United Kingdom
| | - Christopher Brightling
- Institute for Lung Health, Department of Respiratory Sciences, NIHR Leicester BRC, University of Leicester, Leicester, United Kingdom
| | - Nick P. Talbot
- Department of Physiology, Anatomy and Genetics, University of Oxford, Oxford, United Kingdom
| | - Nayia Petousi
- Nuffield Department of Medicine, NIHR Oxford BRC, University of Oxford, Oxford, United Kingdom
| | - Najib M. Rahman
- Nuffield Department of Medicine, NIHR Oxford BRC, University of Oxford, Oxford, United Kingdom
| | - Ling-Pei Ho
- Weatherall Institute of Molecular Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Kate Saunders
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - John R. Geddes
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Paul J. Harrison
- Department of Psychiatry, University of Oxford, Oxford, United Kingdom
| | - Kyle Pattinson
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
| | - Matthew J. Rowland
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
| | - Brian J. Angus
- Experimental Medicine, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Fergus Gleeson
- Department of Oncology, Medical Science Department, University of Oxford, Oxford, United Kingdom
| | - Michael Pavlides
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
- Translational Gastroenterology Unit, Nuffield Department of Medicine, University of Oxford, Oxford, United Kingdom
| | - Ivan Koychev
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
| | - Karla L. Miller
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Clare Mackay
- Wellcome Centre for Integrative Neuroimaging, Oxford Centre for Human Brain Activity, Department of Psychiatry, University of Oxford, Oxford, United Kingdom
- Nuffield Department of Clinical Neuroscience, University of Oxford, Oxford, United Kingdom
| | - Peter Jezzard
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Stephen M. Smith
- Wellcome Centre for Integrative Neuroimaging (WIN FMRIB), Nuffield Department of Clinical Neurosciences, University of Oxford, Oxford, United Kingdom
| | - Stefan Neubauer
- Division of Cardiovascular Medicine, Radcliffe Department of Medicine, National Institute for Health Research (NIHR) Oxford Biomedical Research Centre (BRC), University of Oxford, Oxford, United Kingdom
- Radcliffe Department of Medicine, British Heart Foundation Centre for Research Excellence, University of Oxford, Oxford, United Kingdom
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Liang P, Xu C, Tripathi P, Li J, Li A, Hu D, Kamel I, Li Z. One-stop assessment of renal function and renal artery in hypertensive patients with suspected renal dysfunction: non-enhanced MRI using spatial labeling with multiple inversion pulses. Eur Radiol 2020; 31:94-103. [PMID: 32749582 DOI: 10.1007/s00330-020-07088-x] [Citation(s) in RCA: 3] [Impact Index Per Article: 0.8] [Reference Citation Analysis] [Abstract] [Key Words] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 02/20/2020] [Revised: 04/01/2020] [Accepted: 07/20/2020] [Indexed: 10/23/2022]
Abstract
OBJECTIVES To assess whether spatial labeling with multiple inversion pulses (SLEEK) sequence can be employed as a one-stop assessment method for evaluating renal function and displaying renal artery in hypertensive patients with suspected renal dysfunction. METHODS A total of 78 patients with suspected hypertensive renal damage were enrolled in this retrospective study. All patients underwent MRI examinations, and both SLEEK and DWI sequences were performed simultaneously. According to estimated glomerular filtration rate (eGFR), patients were divided into three groups (Group 1, eGFR> 90; Group 2, eGFR = 60-90; Group 3, eGFR< 60). Twenty-two of these patients also underwent CT angiography (CTA) examination. Comparison between CTA, DWI, and eGFR was performed to assess the value of SLEEK in evaluating renal function and displaying renal artery. RESULTS The performance of SLEEK to display renal artery was highly consistent with the results of CTA (kappa = 0.713). The corticomedullary contrast ratio positively correlated with eGFR (p = 0.004, r = 0.322) and was significantly higher in SLEEK images than in DWI images in all three groups (p < 0.001). There was no significant difference in corticomedullary contrast ratio in SLEEK images between Group 1 and Group 2 (p = 0.285). However, the minimal renal cortical thickness, which significantly correlated with eGFR (p < 0.001, r = 0.866), was significantly different between Group 1 and Group 2 (p < 0.001). ROC analysis showed good diagnostic performance when differentiating patients with eGFR> 60 from those with eGFR< 60. CONCLUSIONS The SLEEK sequence could evaluate simultaneously renal function through corticomedullary differentiation and renal arteries, enabling one-stop assessment in hypertensive patients with suspected renal dysfunction. KEY POINTS • Spatial labeling with multiple inversion pulses (SLEEK) improves renal corticomedullary differentiation in hypertensive patients with renal dysfunction compared with DWI. • SLEEK clearly displays renal artery in hypertensive patients with renal dysfunction. • SLEEK could be utilized as a one-stop assessment method for evaluating renal function and renal artery in hypertensive patients.
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Affiliation(s)
- Ping Liang
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Chuou Xu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Pratik Tripathi
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Jiali Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Anqin Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Daoyu Hu
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China
| | - Ihab Kamel
- Russell H. Morgan Department of Radiology and Radiological Science, the Johns Hopkins Medical Institutions, Baltimore, MD, USA
| | - Zhen Li
- Department of Radiology, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, Hubei, China.
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