Department of Electrical Engineering and Computer Science, University of Wisconsin-Milwaukee, Milwaukee, WI, USA.
J Digit Imaging. 2012 Feb;25(1):56-62. doi: 10.1007/s10278-011-9423-9.
Radiologists are critically interested in promoting best practices in medical imaging, and to that end, they are actively developing tools that will optimize terminology and reporting practices in radiology. The RadLex® vocabulary, developed by the Radiological Society of North America (RSNA), is intended to create a unifying source for the terminology that is used to describe medical imaging. The RSNA Reporting Initiative has developed a library of reporting templates to integrate reusable knowledge, or meaning, into the clinical reporting process. This report presents the initial analysis of the intersection of these two major efforts. From 70 published radiology reporting templates, we extracted the names of 6,489 reporting elements. These terms were reviewed in conjunction with the RadLex vocabulary and classified as an exact match, a partial match, or unmatched. Of 2,509 unique terms, 1,017 terms (41%) matched exactly to RadLex terms, 660 (26%) were partial matches, and 832 reporting terms (33%) were unmatched to RadLex. There is significant overlap between the terms used in the structured reporting templates and RadLex. The unmatched terms were analyzed using the multidimensional scaling (MDS) visualization technique to reveal semantic relationships among them. The co-occurrence analysis with the MDS visualization technique provided a semantic overview of the investigated reporting terms and gave a metric to determine the strength of association among these terms.
放射科医生非常关注在医学成像中推广最佳实践,为此,他们正在积极开发工具,以优化放射科的术语和报告实践。北美放射学会(RSNA)开发的 RadLex®词汇旨在为描述医学成像使用的术语创建一个统一的来源。RSNA 报告倡议已经开发了一个报告模板库,以将可重复使用的知识(或意义)集成到临床报告过程中。本报告介绍了这两项主要工作的交叉点的初步分析。从 70 个已发表的放射科报告模板中,我们提取了 6489 个报告元素的名称。这些术语与 RadLex 词汇一起进行了审查,并分为完全匹配、部分匹配或不匹配。在 2509 个独特术语中,有 1017 个术语(41%)与 RadLex 术语完全匹配,660 个术语(26%)是部分匹配,832 个报告术语(33%)与 RadLex 不匹配。在结构化报告模板中使用的术语与 RadLex 有很大的重叠。使用多维尺度(MDS)可视化技术对不匹配的术语进行了分析,以揭示它们之间的语义关系。MDS 可视化技术的共现分析提供了对调查报告术语的语义概述,并提供了一个度量标准来确定这些术语之间关联的强度。