Shanshan Wan, Shiping Wang, Xinyu He, Chao Song, Jiaping Wang
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Among them, nine studies utilized US as a noninvasive diagnostic method, eight studies used MRI, and four articles employed radiomics. The sensitivity and specificity of US for detecting RF were 0.81 (95% CI: 0.76-0.86) and 0.79 (95% CI: 0.72-0.84). The sensitivity and specificity of MRI were 0.77 (95% CI: 0.70-0.83) and 0.92 (95% CI: 0.85-0.96). The sensitivity and specificity of radiomics were 0.69 (95% CI: 0.59-0.77) and 0.78 (95% CI: 0.68-0.85).</p><p><strong>Conclusions: </strong>The current early noninvasive diagnostic methods for RF include US, MRI, and radiomics. However, this study demonstrates that US has a higher sensitivity for the detection of RF compared to MRI. Compared to US, radiomics studies based on US did not show superior advantages. Therefore, challenges still exist in the current radiomics approaches for diagnosing RF, and further exploration of optimized artificial intelligence (AI) algorithms and technologies is needed.</p>","PeriodicalId":20839,"journal":{"name":"Renal Failure","volume":null,"pages":null},"PeriodicalIF":3.0000,"publicationDate":"2024-12-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11216256/pdf/","citationCount":"0","resultStr":"{\"title\":\"Noninvasive diagnosis of interstitial fibrosis in chronic kidney disease: a systematic review and meta-analysis.\",\"authors\":\"Shanshan Wan, Shiping Wang, Xinyu He, Chao Song, Jiaping Wang\",\"doi\":\"10.1080/0886022X.2024.2367021\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Rationale and objectives: </strong>Researchers have delved into noninvasive diagnostic methods of renal fibrosis (RF) in chronic kidney disease, including ultrasound (US), magnetic resonance imaging (MRI), and radiomics. However, the value of these diagnostic methods in the noninvasive diagnosis of RF remains contentious. Consequently, the present study aimed to systematically delineate the accuracy of the noninvasive diagnosis of RF.</p><p><strong>Materials and methods: </strong>A systematic search covering PubMed, Embase, Cochrane Library, and Web of Science databases for all data available up to 28 July 2023 was conducted for eligible studies.</p><p><strong>Results: </strong>We included 21 studies covering 4885 participants. Among them, nine studies utilized US as a noninvasive diagnostic method, eight studies used MRI, and four articles employed radiomics. The sensitivity and specificity of US for detecting RF were 0.81 (95% CI: 0.76-0.86) and 0.79 (95% CI: 0.72-0.84). The sensitivity and specificity of MRI were 0.77 (95% CI: 0.70-0.83) and 0.92 (95% CI: 0.85-0.96). The sensitivity and specificity of radiomics were 0.69 (95% CI: 0.59-0.77) and 0.78 (95% CI: 0.68-0.85).</p><p><strong>Conclusions: </strong>The current early noninvasive diagnostic methods for RF include US, MRI, and radiomics. However, this study demonstrates that US has a higher sensitivity for the detection of RF compared to MRI. Compared to US, radiomics studies based on US did not show superior advantages. Therefore, challenges still exist in the current radiomics approaches for diagnosing RF, and further exploration of optimized artificial intelligence (AI) algorithms and technologies is needed.</p>\",\"PeriodicalId\":20839,\"journal\":{\"name\":\"Renal Failure\",\"volume\":null,\"pages\":null},\"PeriodicalIF\":3.0000,\"publicationDate\":\"2024-12-01\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"https://www.ncbi.nlm.nih.gov/pmc/articles/PMC11216256/pdf/\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Renal Failure\",\"FirstCategoryId\":\"3\",\"ListUrlMain\":\"https://doi.org/10.1080/0886022X.2024.2367021\",\"RegionNum\":3,\"RegionCategory\":\"医学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"2024/6/28 0:00:00\",\"PubModel\":\"Epub\",\"JCR\":\"Q1\",\"JCRName\":\"UROLOGY & NEPHROLOGY\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Renal Failure","FirstCategoryId":"3","ListUrlMain":"https://doi.org/10.1080/0886022X.2024.2367021","RegionNum":3,"RegionCategory":"医学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"2024/6/28 0:00:00","PubModel":"Epub","JCR":"Q1","JCRName":"UROLOGY & NEPHROLOGY","Score":null,"Total":0}
引用次数: 0
摘要
理由和目标:研究人员已经深入研究了慢性肾脏病肾脏纤维化(RF)的无创诊断方法,包括超声波(US)、磁共振成像(MRI)和放射组学。然而,这些诊断方法在肾纤维化无创诊断中的价值仍存在争议。因此,本研究旨在系统地界定 RF 无创诊断的准确性:我们对 PubMed、Embase、Cochrane Library 和 Web of Science 数据库中截至 2023 年 7 月 28 日的所有数据进行了系统检索,以寻找符合条件的研究:结果:我们纳入了 21 项研究,涉及 4885 名参与者。其中,9 项研究使用了 US 作为无创诊断方法,8 项研究使用了 MRI,4 篇文章使用了放射组学。US 检测 RF 的敏感性和特异性分别为 0.81(95% CI:0.76-0.86)和 0.79(95% CI:0.72-0.84)。核磁共振成像的敏感性和特异性分别为 0.77(95% CI:0.70-0.83)和 0.92(95% CI:0.85-0.96)。放射组学的敏感性和特异性分别为0.69(95% CI:0.59-0.77)和0.78(95% CI:0.68-0.85):目前射频的早期无创诊断方法包括 US、MRI 和放射组学。结论:目前射频的早期无创诊断方法包括 US 和 MRI,但本研究表明,与 MRI 相比,US 检测射频的灵敏度更高。与 US 相比,基于 US 的放射组学研究并未显示出更大的优势。因此,目前用于诊断射频的放射组学方法仍存在挑战,需要进一步探索优化的人工智能(AI)算法和技术。
Noninvasive diagnosis of interstitial fibrosis in chronic kidney disease: a systematic review and meta-analysis.
Rationale and objectives: Researchers have delved into noninvasive diagnostic methods of renal fibrosis (RF) in chronic kidney disease, including ultrasound (US), magnetic resonance imaging (MRI), and radiomics. However, the value of these diagnostic methods in the noninvasive diagnosis of RF remains contentious. Consequently, the present study aimed to systematically delineate the accuracy of the noninvasive diagnosis of RF.
Materials and methods: A systematic search covering PubMed, Embase, Cochrane Library, and Web of Science databases for all data available up to 28 July 2023 was conducted for eligible studies.
Results: We included 21 studies covering 4885 participants. Among them, nine studies utilized US as a noninvasive diagnostic method, eight studies used MRI, and four articles employed radiomics. The sensitivity and specificity of US for detecting RF were 0.81 (95% CI: 0.76-0.86) and 0.79 (95% CI: 0.72-0.84). The sensitivity and specificity of MRI were 0.77 (95% CI: 0.70-0.83) and 0.92 (95% CI: 0.85-0.96). The sensitivity and specificity of radiomics were 0.69 (95% CI: 0.59-0.77) and 0.78 (95% CI: 0.68-0.85).
Conclusions: The current early noninvasive diagnostic methods for RF include US, MRI, and radiomics. However, this study demonstrates that US has a higher sensitivity for the detection of RF compared to MRI. Compared to US, radiomics studies based on US did not show superior advantages. Therefore, challenges still exist in the current radiomics approaches for diagnosing RF, and further exploration of optimized artificial intelligence (AI) algorithms and technologies is needed.
期刊介绍:
Renal Failure primarily concentrates on acute renal injury and its consequence, but also addresses advances in the fields of chronic renal failure, hypertension, and renal transplantation. Bringing together both clinical and experimental aspects of renal failure, this publication presents timely, practical information on pathology and pathophysiology of acute renal failure; nephrotoxicity of drugs and other substances; prevention, treatment, and therapy of renal failure; renal failure in association with transplantation, hypertension, and diabetes mellitus.