{"title":"The shortcomings of the Medina compared to the Movahed coronary bifurcation classification.","authors":"Mohammad Reza Movahed","doi":"10.1080/14796678.2024.2444156","DOIUrl":null,"url":null,"abstract":"<p><p>The Medina classification separates true bifurcation lesions into three unnecessary groups: 1.1.1, 1.0.1, and 0.1.1. Non-true bifurcation lesions are divided into three unnecessary subgroups called 0.0.1, 0.1.0, and 1.0.0. Furthermore, the Medina classification does not describe any other important features of a given bifurcation lesion, making it useless when comparing complex bifurcation lesions. This has led to confusion in clinical settings and stagnation of bifurcation research. The Movahed bifurcation classification has overcome those problems by summarizing all true bifurcation lesions into one simple relevant category called B2 (B for bifurcation, 2 meaning both main and side branches at bifurcation site have significant lesions) and non-true bifurcation lesions into two simple categories called B1m (B for bifurcation, 1 m meaning only the main branch has significant lesion) and B1S lesions (B for bifurcation and 1 s meaning only the side branch has significant lesion). Moreover, at the same time, additional unlimited suffixes can be added if needed to describe a given bifurcation lesion, making this bifurcation also very comprehensive. In this perspective, the shortcomings of the Medina classification compared to the Movahed classification are discussed in detail.</p>","PeriodicalId":12589,"journal":{"name":"Future cardiology","volume":" ","pages":"1-7"},"PeriodicalIF":1.6000,"publicationDate":"2024-12-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Future cardiology","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.1080/14796678.2024.2444156","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q3","JCRName":"CARDIAC & CARDIOVASCULAR SYSTEMS","Score":null,"Total":0}
引用次数: 0
Abstract
The Medina classification separates true bifurcation lesions into three unnecessary groups: 1.1.1, 1.0.1, and 0.1.1. Non-true bifurcation lesions are divided into three unnecessary subgroups called 0.0.1, 0.1.0, and 1.0.0. Furthermore, the Medina classification does not describe any other important features of a given bifurcation lesion, making it useless when comparing complex bifurcation lesions. This has led to confusion in clinical settings and stagnation of bifurcation research. The Movahed bifurcation classification has overcome those problems by summarizing all true bifurcation lesions into one simple relevant category called B2 (B for bifurcation, 2 meaning both main and side branches at bifurcation site have significant lesions) and non-true bifurcation lesions into two simple categories called B1m (B for bifurcation, 1 m meaning only the main branch has significant lesion) and B1S lesions (B for bifurcation and 1 s meaning only the side branch has significant lesion). Moreover, at the same time, additional unlimited suffixes can be added if needed to describe a given bifurcation lesion, making this bifurcation also very comprehensive. In this perspective, the shortcomings of the Medina classification compared to the Movahed classification are discussed in detail.
期刊介绍:
Research advances have contributed to improved outcomes across all specialties, but the rate of advancement in cardiology has been exceptional. Concurrently, the population of patients with cardiac conditions continues to grow and greater public awareness has increased patients" expectations of new drugs and devices. Future Cardiology (ISSN 1479-6678) reflects this new era of cardiology and highlights the new molecular approach to advancing cardiovascular therapy. Coverage will also reflect the major technological advances in bioengineering in cardiology in terms of advanced and robust devices, miniaturization, imaging, system modeling and information management issues.