The completeness of existing lexicons for representing radiology report information.
The completeness of existing lexicons for representing radiology report information.
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DOI：
10.1007/s10278-002-5046-5
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发表时间：
2002-01-01
影响因子：
4.4
通讯作者：
Caldwell, Susan A
中科院分区：
文献类型：
--
作者：
Langlotz, Curtis P;Caldwell, Susan A
虽然大多数医学词汇包含高达80%的门诊患者医疗记录档案中使用的临床术语，初步研究表明，他们可能远远不够完整的放射学术语。因此，我们比较了几个现有的医学词汇将包含在放射学报告中发现的术语的可能性，它们将包含在门诊护理病历中发现的术语的可能性。我们使用了三个样本的成像术语来评估现有的医学成像词汇的完整性：（1）从统一医学语言系统大规模词汇测试中随机抽取的成像术语（UMLS-LSVT; n = 218），（2）结构化报告系统常规临床使用生成的前80份临床膝关节磁共振成像报告中实际使用的术语（eDictation，Marlton，NJ; n = 76）和（3）Fleischner Society编制的胸部成像术语表中列出的术语（n = 173）。使用UMLS基于Web的知识源服务器（http：//umlsks.nlm.nih. gov/），我们测量了上述三个来源中的每一个术语在UMLS及其两个主要组成术语：ICD-9-CM和SNOMED International中的发现率。ICD-9-CM分别包含来自Fleischner Society Glossary、eDictation和NLM-LSVT的3%、8%和11%的术语匹配。SNOMED International分别包含来自Fleischner Society Glossary、eDictation和NLM-LSVT的32%、46%和36%的术语的匹配。UMLS分别包含来自Fleischner Society Glossary、eDictation和NLM-LSVT的36%、50%和45%的术语的匹配。被评估的词汇表最不可能包含来自Fleischner Society Glossary的术语，最有可能包含来自eDictation词典的术语。UMLS是最完整的，ICD-9是评估的三个系统中最不完整的。对于任何成像术语的测试集，没有词典达到超过50%的完整性。我们的研究结果表明，没有一个词汇是足够完整的，以允许全面的索引，搜索和检索的放射学报告信息。这些结果证实了从医学文献中获得的少数结果，表明现有的受控词汇不足以完整地表示放射学报告的内容。对这些结果的主观分析可以识别应开发新术语的特定成像子区域。
Although most medical lexicons contain up to 80% of clinical terms used in an ambulatory patient medical records archive, preliminary research suggests that they may be far less complete for radiology terms. We therefore compared the likelihood that several existing medical lexicons would contain terms found in a radiology report to the likelihood they would contain terms found in an ambulatory care medical record. We used three samples of imaging terms to assess the completeness of existing lexicons for medical imaging: (1) a random sample of imaging terms from the Unified Medical Language System Large Scale Vocabulary Test (UMLS-LSVT; n = 218), (2) terms actually used in the first 80 clinical knee magnetic resonance imaging reports generated by the routine clinical use of a structured reporting system (eDictation, Marlton, NJ; n = 76), and (3) terms listed in a glossary of thoracic imaging prepared by the Fleischner Society (n = 173). Using the UMLS Web-based Knowledge Source Server (http://umlsks.nlm.nih. gov/), we measured the rate at which terms in each of the above three sources were found in the UMLS and two of its major constituent terminologies: ICD-9-CM and SNOMED International. ICD-9-CM contained matches for 3%, 8%, and 11% of terms from the Fleischner Society Glossary, eDictation, and NLM-LSVT, respectively. SNOMED International contained matches for 32%, 46%, and 36% of terms from the Fleischner Society Glossary, eDictation, and NLM-LSVT, respectively. The UMLS contained matches for 36%, 50%, and 45% of terms from the Fleischner Society Glossary, eDictation, and NLM-LSVT, respectively. The assessed vocabularies were least likely to contain a term from the Fleischner Society Glossary and most likely to contain a term from the eDictation lexicon. The UMLS was the most complete, and ICD-9 was the least complete of the three systems evaluated. No lexicon achieved greater than 50% completeness for any test set of imaging terms. Our results show that no single lexicon is sufficiently complete to allow comprehensive indexing, search, and retrieval of radiology report information. These results confirm the few results available from the medical literature indicating that existing controlled vocabularies are insufficiently complete to represent the contents of radiology reports. A subjective analysis of these results may identify particular imaging sub-areas for which new terms should be developed.