检索结果-南通市图书馆

A Validated Model for the Imaging Diagnosis of Cystic Lung Disease

Open Journal of Radiology 2023年第1期13卷 42-57页

作者： Wallace T. Miller Karen C. Patterson Shweta Sood James E. Schmitt Arshad A. Wani Robert Borden Maya Galperin-Aisenberg Mary K. Porteus Michelle L. Hershman Michael Hewitt Jennifer Levy Victor D. Babatunde Tetiana Glushko Timothy J. Niesen Sergey Leshchinskiy karine sahakyan Keyur Desai Jennifer A. Gillman Sandeep Reddy Michael Shriver Nathaniel B. Linna Abass M. Noor Aysenur Buz Matthew E. Biron Scott Simpson Department of Radiology University of Botswana Gaborone Botswana Department of Medicine Perelman School of Medicine University of Pennsylvania Philadelphia USA Brighton and Sussex Medical School Brighton England Department of Radiology Perelman School of Medicine University of Pennsylvania Philadelphia USA Department of Radiologic Sciences Drexel University College of Medicine Philadelphia USA Department of Radiology Mercy Catholic Medical Center Philadelphia USA Department of Diagnostic Imaging School of Alpert Medical Brown University Providence USA Department of Radiology Goztepe Research and Training Hospital Istanbul Medeniyet University Istanbul Türkiye

Rationale and Objectives: Cystic lung disease may be accurately diagnosed by imaging interpretation of specialist radiologists, without other information. We hypothesized that with minimal training non-specialists could perform similarly to specialist physicians in the diagnosis of cystic lung disease. Methods: 72 cystic lung disease cases and 25 cystic lung disease mimics were obtained from three sources: 1) a prospective acquired diffuse lung disease registry, 2) a retrospective search of medical records and 3) teaching files. Cases were anonymized, randomized and interpreted by 7 diffuse lung disease specialists and 15 non-specialist radiologists and pulmonologists. Clinical information other than age and sex was not provided. Prior to interpretation, non-specialists viewed a short PDF training document explaining cystic lung disease interpretation. Results: Correct first choice diagnosis of 85%-88% may be achieved by high-performing specialist readers and 71%-80% by non-specialists and lower-performing specialists, with mean accuracies in the diagnosis of LAM (91%, p Conclusion: With specific but limited training, non-specialist physicians can diagnose cystic lung diseases from CT appearance alone with similar accuracy to specialists, correctly identifying approximately 75% of cases.

关键词： Lymphangioleiomyomatosis Histiocytosis Langerhans-Cell Idiopathic Interstitial Pneumonias Birt-Hogg-Dube Syndrome Lung Diseases Interstitial Diagnoses Differential

来源：

维普期刊数据库评论

在线全文

维普期刊数据库

学校读者我要写书评

暂无评论

欢迎您,

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案：

请选择收藏分类：

通借通还

欢迎您,

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

在线全文

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：