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Zhao D, Wang W, Niu YY, Ren XH, Shen AJ, Xiang YS, Xie HY, Wu LH, Yu C, Zhang YY. Amide Proton Transfer-Weighted Magnetic Resonance Imaging for Application in Renal Fibrosis: A Radiological-Pathological-Based Analysis. Am J Nephrol 2024; 55:334-344. [PMID: 38228096 DOI: 10.1159/000536232] [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: 08/19/2023] [Accepted: 01/04/2024] [Indexed: 01/18/2024]
Abstract
INTRODUCTION Renal fibrosis (RF), being the most important pathological change in the progression of CKD, is currently assessed by the evaluation of a biopsy. This present study aimed to apply a novel functional MRI (fMRI) protocol named amide proton transfer (APT) weighting to evaluate RF noninvasively. METHODS Male Sprague-Dawley (SD) rats were initially subjected to bilateral kidney ischemia/reperfusion injury (IRI), unilateral ureteral obstruction, and sham operation, respectively. All rats underwent APT mapping on the 7th and 14th days after operation. Besides, 26 patients underwent renal biopsy at the Nephrology Department of Shanghai Tongji Hospital between July 2022 and May 2023. Patients underwent APT and apparent diffusion coefficient (ADC) mappings within 1 week before biopsy. MRI results of both patients and rats were calculated by comparing with gold standard histology for fibrosis assessment. RESULTS In animal models, the cortical APT (cAPT) and medullary APT (mAPT) values were positively correlated with the degree of RF. Compared to the sham group, IRI group showed significantly increased cAPT and mAPT values on the 7th and 14th days after surgery, but no group differences were found in ADC values. Similar results were found in human patients. Cortical/medullary APT values were significantly increased in patients with moderate-to-severe fibrosis than in patients with mild fibrosis. ROC curve analysis indicated that APT value displayed a better diagnostic value for RF. Furthermore, combination of cADC and cAPT improved fibrosis detection by imaging variables alone (p < 0.1). CONCLUSION APT values had better diagnostic capability at early stage of RF compared to ADC values, and the addition of APT imaging to conventional ADC will significantly improve the diagnostic performance for predicting kidney fibrosis.
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Affiliation(s)
- Dan Zhao
- Department of Nephrology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China,
| | - Wei Wang
- Department of Radiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yang-Yang Niu
- Department of Nephrology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Xi-Hui Ren
- Department of Radiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ai-Jun Shen
- Department of Radiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Yong-Sheng Xiang
- Department of Radiology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Hong-Yan Xie
- Department of Nephrology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Le-Hao Wu
- Department of Nephrology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Chen Yu
- Department of Nephrology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
| | - Ying-Ying Zhang
- Department of Nephrology, Shanghai Tongji Hospital, Tongji University School of Medicine, Shanghai, China
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Lu R, Sun F, Zhang L, Zhang C, Du J, Hao J, Zhao L. Detection of microvascular damage of membranous nephropathy by MicroFlow imaging: a novel ultrasound technique. Quant Imaging Med Surg 2024; 14:958-971. [PMID: 38223077 PMCID: PMC10784053 DOI: 10.21037/qims-23-1010] [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: 07/15/2023] [Accepted: 11/09/2023] [Indexed: 01/16/2024]
Abstract
Background MicroFlow imaging (MFI) is a novel noninvasive ultrasound (US) technique that depicts microcirculatory blood vessels in the kidney while filtering out tissue motion and enhancing blood flow signals. We aimed to investigate the value of MFI for the detection of renal microvascular perfusion in chronic kidney disease caused by stage I-II membranous nephropathy (MN). Methods Seventy-six participants including biopsy-proven MN (n=38) and healthy volunteers (n=38) were prospectively examined using MFI from March 2020 to December 2020. In addition, patients with MN were subdivided into a mild group, a moderate group, and a severe group based on the results of vascular pathology evaluation. All MFI images were analyzed by Image Pro Plus to obtain a cortical vascular index (VI). Basic patient information, relative US parameters and laboratory results were then acquired for each participant. Finally, after the univariate analysis among multiple groups, binary logistic regression (forward LR) and ordered logistic regression were used for multivariate analysis. Significance was set at P<0.05. Results VI was significantly lower in MN patients compared with that of healthy controls (0.65±0.09 vs. 0.35±0.18, P<0.001). After multivariate analysis, we found that the exploratory diagnostic performance of VI [area under the curve (AUC): 0.94; 95% confidence interval (CI): 0.89-0.99] outperformed that of serum creatinine (Scr) (AUC: 0.87; 95% CI: 0.79-0.95) in identifying MN. We also observed considerable differences among MN groups in parameters including VI (P=0.006), estimated glomerular filtration rate (eGFR) (P=0.037), shape (P=0.013), and impression (P=0.007). In addition, in the group with mild vascular damage, the exploratory diagnostic performance of VI (AUC: 0.79; 95% CI: 0.64-0.94) was better than other parameters, such as eGFR (AUC: 0.63; 95% CI: 0.43-0.84). Conclusions MFI detected abnormal renal microvascular perfusion in patients with MN (particularly in those with early vascular damage or preserved renal function) without the use of a contrast agent. Combining MFI with B-mode US can improve the predictive performance of traditional kidney US.
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Affiliation(s)
- Renjie Lu
- Department of Diagnostic Ultrasound Center, the First Hospital of Jilin University, Changchun, China
| | - Fangfang Sun
- Department of Diagnostic Ultrasound Center, the First Hospital of Jilin University, Changchun, China
| | - Lili Zhang
- Department of Diagnostic Ultrasound Center, the First Hospital of Jilin University, Changchun, China
| | - Chao Zhang
- Department of Diagnostic Ultrasound Center, the First Hospital of Jilin University, Changchun, China
| | - Jie Du
- Department of Diagnostic Ultrasound Center, the First Hospital of Jilin University, Changchun, China
| | - Jianxun Hao
- Department of Diagnostic Ultrasound Center, the First Hospital of Jilin University, Changchun, China
| | - Lirong Zhao
- Department of Diagnostic Ultrasound Center, the First Hospital of Jilin University, Changchun, China
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Günay B, Uslu B, Çelik AO, Korkmaz S, Ustabaşıoğlu FE, Solak S, Kula O, Tunçbilek N. The Role of Superb Microvascular Imaging and Shear Wave Elastography in the Prediction of Hemorrhage Complications After Renal Parenchyma Biopsy. Ultrasound Q 2023; 39:242-249. [PMID: 37918031 DOI: 10.1097/ruq.0000000000000656] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Indexed: 11/04/2023]
Abstract
OBJECTIVES The aim of study was to evaluate the diagnostic utility of the renal parenchyma elasticity with the shear wave elastography (SWE) and microvascularization with the superb microvascular imaging (SMI) technique before kidney biopsy and to predict the complication of hemorrhage before kidney biopsy. METHODS A total of 75 patients were included in the prospective study. Before the biopsy, vascularity features of the kidney parenchyma in the area to be biopsied were assessed by SMI and parenchymal stiffness by SWE and were examined by 2 independent radiologists. RESULTS A statistically significant difference was found in the SMI and SWE values between the groups with and without hematoma and hematuria when compared with the Student t test and Mann-Whitney U test ( P < 0.05). The SWE hardness cutoff value, which maximizes the prediction of the development of hematuria, was found to be 18.40 kPa, and the sensitivity and specificity values were 84.4% and 62.8%, respectively. In SMI vascularity index values, the cutoff value was found to be 0.247410800 kPa, and sensitivity and specificity values were 81.3% and 83.7%, respectively. The cutoff value of the SMI vascularity index values that maximized the prediction of hematoma development was 0.297009650, and the sensitivity and specificity values were 87% and 87%, respectively. CONCLUSIONS We believe that evaluating and standardizing the microvascularization and elasticity of the kidney parenchyma before a percutaneous kidney biopsy will be potentially useful as a guiding method in the prediction of postbiopsy hemorrhage development.
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Affiliation(s)
- Burak Günay
- Department of Radiology, Trakya University Faculty of Medicine, Edirne
| | - Burak Uslu
- Department of Radiology, Yüksekova State Hospital, Hakkari
| | | | - Selçuk Korkmaz
- Department of Biostatistics and Medical Informatics, Trakya University Faculty of Medicine, Edirne, Turkey
| | | | - Serdar Solak
- Department of Radiology, Trakya University Faculty of Medicine, Edirne
| | - Osman Kula
- Department of Radiology, Trakya University Faculty of Medicine, Edirne
| | - Nermin Tunçbilek
- Department of Radiology, Trakya University Faculty of Medicine, Edirne
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Cannella R, Pilato G, Mazzola M, Bartolotta TV. New microvascular ultrasound techniques: abdominal applications. LA RADIOLOGIA MEDICA 2023; 128:1023-1034. [PMID: 37495910 PMCID: PMC10473992 DOI: 10.1007/s11547-023-01679-6] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Grants] [Track Full Text] [Subscribe] [Scholar Register] [Received: 03/31/2023] [Accepted: 07/03/2023] [Indexed: 07/28/2023]
Abstract
Microvascular ultrasound (MVUS) is a new ultrasound technique that allows the detection of slow-velocity flow, providing the visualization of the blood flow in small vessels without the need of intravenous contrast agent administration. This technology has been integrated in the most recent ultrasound equipment and applied for the assessment of vascularization. Compared to conventional color Doppler and power Doppler imaging, MVUS provides higher capability to detect intralesional flow. A growing number of studies explored the potential applications in hepatobiliary, genitourinary, and vascular pathologies. Different flow patterns can be observed in hepatic and renal focal lesions providing information on tumor vascularity and improving the differential diagnosis. This article aims to provide a detailed review on the current evidences and applications of MVUS in abdominal imaging.
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Affiliation(s)
- Roberto Cannella
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Via del Vespro 129, 90127, Palermo, Italy.
| | - Giulia Pilato
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Via del Vespro 129, 90127, Palermo, Italy
| | - Mariasole Mazzola
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Via del Vespro 129, 90127, Palermo, Italy
| | - Tommaso Vincenzo Bartolotta
- Department of Biomedicine, Neuroscience and Advanced Diagnostics (BiND), University of Palermo, Via del Vespro 129, 90127, Palermo, Italy
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Kim DG, Lee JY, Ahn JH, Lee T, Eom M, Cho HS, Ku J. Quantitative ultrasound for non-invasive evaluation of subclinical rejection in renal transplantation. Eur Radiol 2023; 33:2367-2377. [PMID: 36422649 DOI: 10.1007/s00330-022-09260-x] [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: 05/07/2022] [Revised: 09/25/2022] [Accepted: 10/19/2022] [Indexed: 11/25/2022]
Abstract
OBJECTIVES This study aimed to investigate the predictive efficacy of shear-wave elastography, superb microvascular imaging (SMI), and CEUS for allograft rejection in kidney transplants without graft dysfunction. METHODS From January 2021 to November 2021, 72 consecutive patients who underwent both allograft biopsy and ultrasound were evaluated. Blood test results were obtained within a week of the ultrasound examinations, which were performed before the protocol biopsy. Resistive index (RI), tissue viscoelasticity, vascular index, and quantitative CEUS parameters were measured. Patients were divided based on biopsy results into the rejection and non-rejection groups. RESULTS Among the 72 patients, 21 patients had pathological characteristics of acute rejection. RI of allograft was significantly higher in the rejection group (p = 0.007), compared to the non-rejection group. There were no significant between-group differences in vascular indices of SMI, mean elasticity, and mean viscosity. Meanwhile, among the parameters obtained by the time-intensity curve on CEUS, the cortical and medullary ratios of average contrast signal intensity, peak enhancement, wash-in area AUC, wash-in perfusion index, wash-out AUC, and wash-in and wash-out AUC were significantly different between the two groups (p < 0.05). In the receiver operating characteristic curve analysis for predicting allograft rejection, the AUC was 0.853 for the combination of six CEUS parameters, RI, and blood urea nitrogen. CONCLUSIONS Among non-invasive quantitative ultrasound measurements, CEUS parameters are the most useful for diagnosing subclinical allograft rejection. Furthermore, the combination of CEUS parameters, RI, and blood urea nitrogen may be helpful for the early detection of renal allograft rejection. KEY POINTS • Among non-invasive quantitative ultrasound measurements, CEUS parameters are the most useful for the diagnosis of subclinical allograft rejection. • On CEUS, the C/M ratios of MeanLin, PE, WiAUC, WiPI, WoAUC, and WiWoAUC are significantly lower in the rejection group; the combination of these showed reliable predictive performance for rejection. • The combination of CEUS parameters, RI, and BUN has a high predictive capability for subclinical allograft rejection.
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Affiliation(s)
- Deok-Gie Kim
- Department of Surgery, The Research Institute for Transplantation, Yonsei University College of Medicine, Seoul, Korea
| | - Jun Young Lee
- Transplantation Center, Wonju Severance Christian Hospital, Wonju, Korea.,Department of Nephrology, Yonsei University Wonju College of Medicine, Wonju, Korea.,Center of Evidence Based Medicine, Institute of Convergence Science, Yonsei University, Seoul, Korea
| | - Jhii-Hyun Ahn
- Department of Radiology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea.
| | - Taesic Lee
- Division of Data Mining and Computational Biology, Institute of Global Health Care and Development, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Minseob Eom
- Department of Pathology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Hyun Seok Cho
- Department of Radiology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea
| | - Jihye Ku
- Department of Radiology, Wonju Severance Christian Hospital, Yonsei University Wonju College of Medicine, Wonju, Korea
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