{"title":"研究诊断左心室不充盈的成像黄金标准","authors":"Yixuan Gu","doi":"10.54254/2753-8818/29/20240758","DOIUrl":null,"url":null,"abstract":"The gold standard for diagnosing left ventricular noncompaction evaluated in this article was compared using cardiac magnetic resonance imaging and echocardiography. To generate results, the paper used systematic data analysis techniques such as article screening, data extraction, meta-analysis, and forest plots. Use data gaps exhibited on forest plots to eliminate untrustworthy data, shown here as major gaps with other data, that should be avoided in follow-up investigations. The value of the aforementioned gold standard for diagnosis is as follows. It was discovered that two figures demonstrated the reliability of cMRI, while the other demonstrated that the echocardiograph was more accurate. Two numbers were eliminated because there was no statistically significant difference, and the data p > 0.05. More data integration is still required.","PeriodicalId":489336,"journal":{"name":"Theoretical and Natural Science","volume":"218 1","pages":""},"PeriodicalIF":0.0000,"publicationDate":"2024-01-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":"{\"title\":\"Research on the gold criteria of imaging to diagnose left ventricular non-compaction\",\"authors\":\"Yixuan Gu\",\"doi\":\"10.54254/2753-8818/29/20240758\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"The gold standard for diagnosing left ventricular noncompaction evaluated in this article was compared using cardiac magnetic resonance imaging and echocardiography. To generate results, the paper used systematic data analysis techniques such as article screening, data extraction, meta-analysis, and forest plots. Use data gaps exhibited on forest plots to eliminate untrustworthy data, shown here as major gaps with other data, that should be avoided in follow-up investigations. The value of the aforementioned gold standard for diagnosis is as follows. It was discovered that two figures demonstrated the reliability of cMRI, while the other demonstrated that the echocardiograph was more accurate. Two numbers were eliminated because there was no statistically significant difference, and the data p > 0.05. More data integration is still required.\",\"PeriodicalId\":489336,\"journal\":{\"name\":\"Theoretical and Natural Science\",\"volume\":\"218 1\",\"pages\":\"\"},\"PeriodicalIF\":0.0000,\"publicationDate\":\"2024-01-08\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"0\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Theoretical and Natural Science\",\"FirstCategoryId\":\"0\",\"ListUrlMain\":\"https://doi.org/10.54254/2753-8818/29/20240758\",\"RegionNum\":0,\"RegionCategory\":null,\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"\",\"JCRName\":\"\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Theoretical and Natural Science","FirstCategoryId":"0","ListUrlMain":"https://doi.org/10.54254/2753-8818/29/20240758","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
摘要
本文评估的诊断左心室非充盈的金标准是通过心脏磁共振成像和超声心动图进行比较。为了得出结果,本文采用了系统的数据分析技术,如文章筛选、数据提取、荟萃分析和森林图。利用森林图上显示的数据差距来剔除不可信的数据,这里显示的是与其他数据的主要差距,在后续调查中应避免使用这些数据。上述金标准的诊断价值如下。我们发现,有两个数字证明了 cMRI 的可靠性,而另一个数字则证明了超声心动图更为准确。由于没有统计学意义上的显著差异,且数据 p > 0.05,因此剔除了两个数字。还需要进行更多的数据整合。
Research on the gold criteria of imaging to diagnose left ventricular non-compaction
The gold standard for diagnosing left ventricular noncompaction evaluated in this article was compared using cardiac magnetic resonance imaging and echocardiography. To generate results, the paper used systematic data analysis techniques such as article screening, data extraction, meta-analysis, and forest plots. Use data gaps exhibited on forest plots to eliminate untrustworthy data, shown here as major gaps with other data, that should be avoided in follow-up investigations. The value of the aforementioned gold standard for diagnosis is as follows. It was discovered that two figures demonstrated the reliability of cMRI, while the other demonstrated that the echocardiograph was more accurate. Two numbers were eliminated because there was no statistically significant difference, and the data p > 0.05. More data integration is still required.