Mohammad Taghi Niknejad, Shiva Mohajeri, Reza Javadrashid, Mohammad Shahir Eftekhar, Farzaneh Shojaeshafiei, Mansoureh Baradaran, Bahareh Hatami, Michail E Klontzas, Ramin Shahidi
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We searched PubMed, Embase, Scopus, and Web of Science, and used QUADAS-2 for quality assessment. In this study, we focused on diagnostic performance and inter-observer agreement. Statistical analysis involved bivariate random-effects modeling and assessing pooled sensitivity, specificity, and inter-rater reliability.</p><p><strong>Results: </strong>We included eleven articles. The 2019 Bosniak classification showed higher diagnostic performance for CT (sensitivity: 85.7%, specificity: 81.9%) and MRI (sensitivity: 96.2%, specificity: 70.9%) compared to the 2005 version. Inter-rater reliability was better with the 2019 classification (CT kappa: 0.813, MRI kappa: 0.601) than with the 2005 version. The quality assessment indicated low risk of bias overall, though some studies had high risk in specific areas.</p><p><strong>Conclusion: </strong>The Bosniak 2019 classification provides improved diagnostic specificity and inter-rater reliability compared to the 2005 version. Its adoption may enhance clinical decision-making and reduce overtreatment in managing cystic renal masses.</p><p><strong>Advances in knowledge: </strong>This paper is novel in being the first meta-analysis to demonstrate that the Bosniak 2019 classification system significantly enhances inter-rater agreement, and overall diagnostic performance compared to the 2005 version, particularly in CT imaging, thus offering a more accurate and reliable tool for evaluating cystic renal masses.</p>","PeriodicalId":9306,"journal":{"name":"British Journal of Radiology","volume":" ","pages":""},"PeriodicalIF":1.8000,"publicationDate":"2025-02-17","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"A Systematic Review and Meta-Analysis Comparing the 2019 and 2005 Bosniak Classification Systems for Assessing Renal Cysts and Cystic Renal Masses: Diagnostic Accuracy and Inter-rater Agreement Evaluation.\",\"authors\":\"Mohammad Taghi Niknejad, Shiva Mohajeri, Reza Javadrashid, Mohammad Shahir Eftekhar, Farzaneh Shojaeshafiei, Mansoureh Baradaran, Bahareh Hatami, Michail E Klontzas, Ramin Shahidi\",\"doi\":\"10.1093/bjr/tqaf033\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"<p><strong>Objectives: </strong>The Bosniak Classification System (BCS) is integral in clinical decision-making for Renal cysts and cystic renal masses, with updates in 2005 and 2019 aiming to enhance diagnostic accuracy and clinical utility. Despite these revisions, challenges in inter-rater agreement and practical applicability persist, underscoring the need for comprehensive evaluation of both versions' effectiveness in guiding patient care.</p><p><strong>Methods: </strong>This meta-analysis adhered to PRISMA guidelines and systematically reviewed studies comparing the 2005 and 2019 BCS versions using CT or MRI. We searched PubMed, Embase, Scopus, and Web of Science, and used QUADAS-2 for quality assessment. In this study, we focused on diagnostic performance and inter-observer agreement. Statistical analysis involved bivariate random-effects modeling and assessing pooled sensitivity, specificity, and inter-rater reliability.</p><p><strong>Results: </strong>We included eleven articles. The 2019 Bosniak classification showed higher diagnostic performance for CT (sensitivity: 85.7%, specificity: 81.9%) and MRI (sensitivity: 96.2%, specificity: 70.9%) compared to the 2005 version. 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引用次数: 0
摘要
目的:波斯尼亚分类系统(BCS)是肾囊肿和囊性肾肿块临床决策中不可或缺的一部分,2005年和2019年进行了更新,旨在提高诊断准确性和临床实用性。尽管进行了这些修订,但在审查员之间的一致和实际适用性方面的挑战仍然存在,强调需要对两个版本在指导患者护理方面的有效性进行全面评估。方法:本荟萃分析遵循PRISMA指南,系统回顾了使用CT或MRI比较2005年和2019年BCS版本的研究。我们检索PubMed、Embase、Scopus和Web of Science,并使用QUADAS-2进行质量评估。在这项研究中,我们关注的是诊断性能和观察者间的一致性。统计分析包括双变量随机效应建模和评估合并敏感性、特异性和评级间可靠性。结果:我们纳入了11篇文章。与2005年版本相比,2019年Bosniak分类对CT(敏感性:85.7%,特异性:81.9%)和MRI(敏感性:96.2%,特异性:70.9%)的诊断性能更高。与2005年版本相比,2019年版本的评分间信度更好(CT kappa: 0.813, MRI kappa: 0.601)。质量评估显示总体偏倚风险较低,尽管一些研究在特定领域存在高风险。结论:与2005年版本相比,Bosniak 2019分类提供了更高的诊断特异性和评分间可靠性。采用它可以提高临床决策,减少治疗囊性肾肿块的过度治疗。知识进展:本文的新颖之处是首次荟萃分析表明,与2005年版本相比,Bosniak 2019分类系统显着提高了评分者之间的一致性和整体诊断性能,特别是在CT成像方面,从而为评估囊性肾肿块提供了更准确和可靠的工具。
A Systematic Review and Meta-Analysis Comparing the 2019 and 2005 Bosniak Classification Systems for Assessing Renal Cysts and Cystic Renal Masses: Diagnostic Accuracy and Inter-rater Agreement Evaluation.
Objectives: The Bosniak Classification System (BCS) is integral in clinical decision-making for Renal cysts and cystic renal masses, with updates in 2005 and 2019 aiming to enhance diagnostic accuracy and clinical utility. Despite these revisions, challenges in inter-rater agreement and practical applicability persist, underscoring the need for comprehensive evaluation of both versions' effectiveness in guiding patient care.
Methods: This meta-analysis adhered to PRISMA guidelines and systematically reviewed studies comparing the 2005 and 2019 BCS versions using CT or MRI. We searched PubMed, Embase, Scopus, and Web of Science, and used QUADAS-2 for quality assessment. In this study, we focused on diagnostic performance and inter-observer agreement. Statistical analysis involved bivariate random-effects modeling and assessing pooled sensitivity, specificity, and inter-rater reliability.
Results: We included eleven articles. The 2019 Bosniak classification showed higher diagnostic performance for CT (sensitivity: 85.7%, specificity: 81.9%) and MRI (sensitivity: 96.2%, specificity: 70.9%) compared to the 2005 version. Inter-rater reliability was better with the 2019 classification (CT kappa: 0.813, MRI kappa: 0.601) than with the 2005 version. The quality assessment indicated low risk of bias overall, though some studies had high risk in specific areas.
Conclusion: The Bosniak 2019 classification provides improved diagnostic specificity and inter-rater reliability compared to the 2005 version. Its adoption may enhance clinical decision-making and reduce overtreatment in managing cystic renal masses.
Advances in knowledge: This paper is novel in being the first meta-analysis to demonstrate that the Bosniak 2019 classification system significantly enhances inter-rater agreement, and overall diagnostic performance compared to the 2005 version, particularly in CT imaging, thus offering a more accurate and reliable tool for evaluating cystic renal masses.
期刊介绍:
BJR is the international research journal of the British Institute of Radiology and is the oldest scientific journal in the field of radiology and related sciences.
Dating back to 1896, BJR’s history is radiology’s history, and the journal has featured some landmark papers such as the first description of Computed Tomography "Computerized transverse axial tomography" by Godfrey Hounsfield in 1973. A valuable historical resource, the complete BJR archive has been digitized from 1896.
Quick Facts:
- 2015 Impact Factor – 1.840
- Receipt to first decision – average of 6 weeks
- Acceptance to online publication – average of 3 weeks
- ISSN: 0007-1285
- eISSN: 1748-880X
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