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Yadigar S, Özdemir P, Özdemir E, Aydıner Ö, Karadayı A, Bakır EA. Impact of Ultrasonographically Measured Elastography Scores on Renal Prognosis in Kidney Transplant Recipients. Transplant Proc 2025:S0041-1345(25)00150-2. [PMID: 40090804 DOI: 10.1016/j.transproceed.2025.01.009] [Citation(s) in RCA: 0] [Impact Index Per Article: 0] [Reference Citation Analysis] [Abstract] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/23/2024] [Accepted: 01/24/2025] [Indexed: 03/18/2025]
Abstract
BACKGROUND The aim of this study was to investigate the relationship between ultrasonographic elastography score and long-term renal prognosis in renal transplant patients. METHODS A retrospective cohort study of 100 patients who underwent renal transplantation in our hospital between 2005 and 2022 was performed. Patients were divided into two groups as those with elastography scores higher than 8.45 kPa (n = 50) and those with elastography scores equal to or lower than 8.45 kPa (n = 50). Elastography measurements were performed with Siemens Acuson S2000 ultrasound system and the scores were compared with renal function parameters and other clinical characteristics. RESULTS Patients with high elastography scores had smaller kidney size (P = .010), lower eGFR (P = .002), and higher proteinuria and albuminuria levels (P < .05) than patients with low elastography scores. There was a significant association between elastography score and the risk of renal dysfunction (OR = 1.039, P = .006). CONCLUSIONS A large elastography score may act as a significant biomarker for prognosing the risk of renal dysfunction in subjects undergoing kidney transplantation. These findings suggest that elastography may become an invaluable noninvasive tool during the long-term follow-up of patients with renal transplants.
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Affiliation(s)
- Serap Yadigar
- Department of Nephrology, Kartal Dr. Lütfi Kırdar City Hospital, İstanbul, Turkey.
| | - Pınar Özdemir
- Department of Nephrology, Kartal Dr. Lütfi Kırdar City Hospital, İstanbul, Turkey
| | - Erman Özdemir
- Department of Nephrology, Pendik City Hospital, İstanbul, Turkey
| | - Ömer Aydıner
- Department of Radiology, Kartal Dr. Lütfi Kırdar City Hospital, İstanbul, Turkey
| | - Ayşegül Karadayı
- Department of Radiology, Kartal Dr. Lütfi Kırdar City Hospital, İstanbul, Turkey
| | - Elif Arı Bakır
- Department of Nephrology, Kartal Dr. Lütfi Kırdar City Hospital, İstanbul, Turkey
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Qin X, Liu X, Xia L, Luo Q, Zhang C. Multimodal ultrasound deep learning to detect fibrosis in early chronic kidney disease. Ren Fail 2024; 46:2417740. [PMID: 39435700 PMCID: PMC11497579 DOI: 10.1080/0886022x.2024.2417740] [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: 05/22/2024] [Revised: 09/30/2024] [Accepted: 10/11/2024] [Indexed: 10/23/2024] Open
Abstract
We developed a multimodal ultrasound (US) deep learning (DL) fusion model to automatically classify early fibrosis in patients with chronic kidney disease (CKD). This prospective study included patients with CKD who underwent continuous gray-scale US, superb microvascular imaging, and strain elastography from May to November 2022. According to the pathological tubular atrophy and interstitial fibrosis score, patients were divided into minimal and mild groups (affected area ≤10% and 11 - 25% of the total cortical volume, respectively). The dataset was divided into training (70%) and test (30%) sets. A DL model combining the features of the three US modes was developed to predict early fibrosis in patients with CKD. We compared these findings with the area under the receiver operating characteristic curve (AUC) of the clinical model by analyzing the receiver operating characteristic curve in the test set. The AUC of single-mode DL based on gray-scale US, superb microvascular imaging, and strain elastography was 0.682, 0.745, and 0.648, respectively, while that of the multimodal US DL model was 0.86. The accuracy, specificity, and sensitivity of the multimodal US DL model were 0.779, 0.767, and 0.796, respectively, and the negative and positive predictive values were 0.842 and 0.706, respectively. The AUC of the multimodal US DL model was significantly better than that of the single-mode DL and clinical models. The DL algorithm developed using multimodal US images can effectively predict early fibrosis in patients with CKD with significantly greater accuracy than single-mode DL or clinical models.
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Affiliation(s)
- Xiachuan Qin
- Department of Ultrasound, Chengdu Second People’s Hospital, Chengdu, Sichuan Province, China
| | - Xiaoling Liu
- Department of Ultrasound, Nanchong Central Hospital, The Second Clinical Medical College, North Sichuan Medical College (University), Nanchong, Sichuan Province, China
| | - Linlin Xia
- Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China
| | - Qi Luo
- Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China
| | - Chaoxue Zhang
- Department of Ultrasound, The First Affiliated Hospital of Anhui Medical University, Hefei, Anhui Province, China
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Jia J, Wang B, Wang Y, Han Y. Application of ultrasound in early prediction of delayed graft function after renal transplantation. Abdom Radiol (NY) 2024; 49:3548-3558. [PMID: 38760530 DOI: 10.1007/s00261-024-04353-1] [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: 01/29/2024] [Revised: 04/18/2024] [Accepted: 04/20/2024] [Indexed: 05/19/2024]
Abstract
Kidney transplantation is currently the most effective treatment for end-stage renal disease. Delayed graft function (DGF) is one of the most common complications after renal transplantation and is a significant complication affecting graft function and the survival time of transplanted kidneys. Therefore, early diagnosis of DGF is crucial for guiding post-transplant care and improving long-term patient survival. This article will summarize the pathological basis and clinical characteristics of DGF after kidney transplantation, with a focus on contrast-enhanced ultrasound. It will analyze the current application status of ultrasound technology in DGF diagnosis and provide a comprehensive review of the clinical applications of ultrasound technology in this field, serving as a reference for the further application of ultrasound technology in kidney transplantation.
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Affiliation(s)
- Jing Jia
- School of Medical Imaging, Shandong Second Medical University, Shandong, Jinan, China
| | - Bei Wang
- Department of Ultrasound, The First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital), Shandong, China.
| | - Yixuan Wang
- Department of Ultrasound, The First Affiliated Hospital of Shandong First Medical University (Shandong Provincial Qianfoshan Hospital), Shandong, China
| | - Yue Han
- Department of Ultrasound, Central Hospital Affiliated to Shandong First Medical University, Shandong, Jinan, China
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Filipov T, Teutsch B, Szabó A, Forintos A, Ács J, Váradi A, Hegyi P, Szarvas T, Ács N, Nyirády P, Deák PÁ. Investigating the role of ultrasound-based shear wave elastography in kidney transplanted patients: correlation between non-invasive fibrosis detection, kidney dysfunction and biopsy results-a systematic review and meta-analysis. J Nephrol 2024; 37:1509-1522. [PMID: 38427308 PMCID: PMC11473454 DOI: 10.1007/s40620-023-01856-w] [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: 09/12/2023] [Accepted: 11/28/2023] [Indexed: 03/02/2024]
Abstract
INTRODUCTION Interstitial fibrosis and tubular atrophy are leading causes of renal allograft failure. Shear wave elastography could be a promising noninvasive method for providing information on the state of the kidney, with specific regard to fibrosis but currently available data in the literature are controversial. Our study aimed to analyze the correlation between shear wave elastography and various kidney dysfunction measures. METHODS This review was registered on PROSPERO (CRD42021283152). We systematically searched three major databases (MEDLINE, Embase, and CENTRAL) for articles concerning renal transplant recipients, shear wave elastography, fibrosis, and kidney dysfunction. Meta-analytical calculations for pooled Pearson and Spearman correlation coefficients (r) were interpreted with 95% confidence intervals (CIs). Heterogeneity was tested with Cochran's Q test. I2 statistic and 95% CI were reported as a measurement of between-study heterogeneity. Study quality was assessed with the QUADAS2 tool. RESULTS In total, 16 studies were included in our meta-analysis. Results showed a moderate correlation between kidney stiffness and interstitial fibrosis and tubular atrophy, graded according to BANFF classification, on biopsy findings for pooled Pearson (r = 0.48; CI: 0.20, 0.69; I2 = 84%) and Spearman correlations (r = 0.57; CI: 0.35, 0.72; I2 = 74%). When compared to kidney dysfunction parameters, we found a moderate correlation between shear wave elastography and resistive index (r = 0.34 CI: 0.13, 0.51; I2 = 67%) and between shear wave elastography and estimated Glomerular Filtration Rate (eGFR) (r = -0.65; CI: - 0.81, - 0.40; I2 = 73%). All our outcomes had marked heterogeneity. CONCLUSION Our results showed a moderate correlation between kidney stiffness measured by shear wave elastography and biopsy results. While noninvasive assessment of kidney fibrosis after transplantation is an important clinical goal, there is insufficient evidence to support the use of elastography over the performance of a kidney biopsy.
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Affiliation(s)
- Teodóra Filipov
- Department of Interventional Radiology, Heart and Vascular Center, Faculty of Medicine, Semmelweis University, Határőr ut 18, 1122, Budapest, Hungary
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Brigitta Teutsch
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
- Institute for Translational Medicine, Medical School University of Pécs, Pécs, Hungary
- Institute of Pancreatic Diseases, Semmelweis University, Budapest, Hungary
| | - Anett Szabó
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
- Department of Urology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Attila Forintos
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
| | - Júlia Ács
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
- Department of Urology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Alex Váradi
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
- Department of Laboratory Medicine, Medical School, University of Pécs, Pécs, Hungary
- Department of Metagenomics, University of Debrecen, Debrecen, Hungary
| | - Péter Hegyi
- Centre for Translational Medicine, Semmelweis University, Budapest, Hungary
- Institute for Translational Medicine, Medical School University of Pécs, Pécs, Hungary
- Institute of Pancreatic Diseases, Semmelweis University, Budapest, Hungary
| | - Tibor Szarvas
- Department of Urology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
- Department of Urology, University of Duisburg-Essen and German Cancer Consortium (DKTK)-University Hospital Essen, Essen, Germany
| | - Nándor Ács
- Department of Obstetrics and Gynecology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Péter Nyirády
- Department of Urology, Faculty of Medicine, Semmelweis University, Budapest, Hungary
| | - Pál Ákos Deák
- Department of Interventional Radiology, Heart and Vascular Center, Faculty of Medicine, Semmelweis University, Határőr ut 18, 1122, Budapest, Hungary.
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Klinkhammer BM, Boor P. Kidney fibrosis: Emerging diagnostic and therapeutic strategies. Mol Aspects Med 2023; 93:101206. [PMID: 37541106 DOI: 10.1016/j.mam.2023.101206] [Citation(s) in RCA: 9] [Impact Index Per Article: 4.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 04/28/2023] [Accepted: 07/25/2023] [Indexed: 08/06/2023]
Abstract
An increasing number of patients worldwide suffers from chronic kidney disease (CKD). CKD is accompanied by kidney fibrosis, which affects all compartments of the kidney, i.e., the glomeruli, tubulointerstitium, and vasculature. Fibrosis is the best predictor of progression of kidney diseases. Currently, there is no specific anti-fibrotic therapy for kidney patients and invasive renal biopsy remains the only option for specific detection and quantification of kidney fibrosis. Here we review emerging diagnostic approaches and potential therapeutic options for fibrosis. We discuss how translational research could help to establish fibrosis-specific endpoints for clinical trials, leading to improved patient stratification and potentially companion diagnostics, and facilitating and optimizing development of novel anti-fibrotic therapies for kidney patients.
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Affiliation(s)
| | - Peter Boor
- Institute of Pathology, RWTH Aachen University Hospital, Aachen, Germany; Electron Microscopy Facility, RWTH Aachen University Hospital, Aachen, Germany; Division of Nephrology and Immunology, RWTH Aachen University Hospital, Aachen, Germany.
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Cè M, Felisaz PF, Alì M, Re Sartò GV, Cellina M. Ultrasound elastography in chronic kidney disease: a systematic review and meta-analysis. J Med Ultrason (2001) 2023; 50:381-415. [PMID: 37186192 DOI: 10.1007/s10396-023-01304-z] [Citation(s) in RCA: 7] [Impact Index Per Article: 3.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 11/16/2022] [Accepted: 03/07/2023] [Indexed: 05/17/2023]
Abstract
Ultrasound elastography (USE) is a noninvasive technique for assessing tissue elasticity, and its application in nephrology has aroused growing interest in recent years. The purpose of this article is to systematically review the clinical application of USE in patients with chronic kidney disease (CKD), including native and transplanted kidneys, and quantitatively investigate differences in elasticity values between healthy individuals and CKD patients. Furthermore, we provide a qualitative analysis of the studies included, discussing the potential interplay between renal stiffness, estimated glomerular filtration rate, and fibrosis. In January 2022, a systematic search was carried out on the MEDLINE (PubMed) database, concerning studies on the application of USE in patients with CKD, including patients with transplanted kidneys. The results of the included studies were extracted by two independent researchers and presented mainly through a formal narrative summary. A meta-analysis of nine study parts from six studies was performed. A total of 647 studies were screened for eligibility and, after applying the exclusion and inclusion criteria, 69 studies were included, for a total of 6728 patients. The studies proved very heterogeneous in terms of design and results. The shear wave velocity difference of - 0.82 m/s (95% CI: - 1.72-0.07) between CKD patients and controls was not significant. This result agrees with the qualitative evaluation of included studies that found controversial results for the relationship between renal stiffness and glomerular filtration rate. On the contrary, a clear relationship seems to emerge between USE values and the degree of fibrosis. At present, due to the heterogeneity of results and technical challenges, large-scale application in the monitoring of CKD patients remains controversial.
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Affiliation(s)
- Maurizio Cè
- Postgraduate School in Diagnostic and Interventional Radiology, University of Milan, Milan, Italy.
| | - Paolo Florent Felisaz
- Division of Radiology, ASST Fatebenefratelli Sacco, Fatebenefratelli Hospital, Milan, Italy
| | - Marco Alì
- Centro Diagnostico Italiano, Milan, Italy
- Bracco Imaging S.P.A., Milan, Italy
| | - Giulia Vanessa Re Sartò
- Division of Nephrology and Dialysis, ASST Fatebenefratelli Sacco, Fatebenefratelli Hospital, Milan, Italy
| | - Michaela Cellina
- Division of Radiology, ASST Fatebenefratelli Sacco, Fatebenefratelli Hospital, Milan, Italy
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