{"title":"Discrimination of the Term ‘Space-Occupying Lesion’ Used in ICD-10","authors":"Binglin Liu, Zhen-sheng Liu","doi":"10.3109/23256176.2014.970006","DOIUrl":null,"url":null,"abstract":"AbstractObjective. The correct use of terms for space-occupying lesions. Method. Analyze the use of the keyword, ‘space-occupying lesion’, in the national standard electronic version of ICD-10. Results. In a total of 13 records, the first 3 had errors, and the term had been correctly applied in the other 10. Conclusion. Space-occupying lesions are classified into R90-R93; the small nodules and masses diagnosed in imaging belong to space-occupying lesions. If the keyword used is not ‘space-occupying lesions’, the classification should be shifted to other categories.","PeriodicalId":163748,"journal":{"name":"Chinese Medical Record English Edition","volume":"38 1","pages":"0"},"PeriodicalIF":0.0000,"publicationDate":"2014-10-13","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Chinese Medical Record English Edition","FirstCategoryId":"1085","ListUrlMain":"https://doi.org/10.3109/23256176.2014.970006","RegionNum":0,"RegionCategory":null,"ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"","JCRName":"","Score":null,"Total":0}
引用次数: 0
Abstract
AbstractObjective. The correct use of terms for space-occupying lesions. Method. Analyze the use of the keyword, ‘space-occupying lesion’, in the national standard electronic version of ICD-10. Results. In a total of 13 records, the first 3 had errors, and the term had been correctly applied in the other 10. Conclusion. Space-occupying lesions are classified into R90-R93; the small nodules and masses diagnosed in imaging belong to space-occupying lesions. If the keyword used is not ‘space-occupying lesions’, the classification should be shifted to other categories.