Application of recently developed computer algorithm for automatic classification of unstructured radiology reports: Validation study
Application of recently developed computer algorithm for automatic classification of unstructured radiology reports: Validation study
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DOI：
10.1148/radiol.2341040049
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发表时间：
2005-02-01
期刊：
影响因子：
19.7
通讯作者：
Thrall, JH
中科院分区：
文献类型：
--
作者：
Dreyer, KJ;Kalra, MK;Thrall, JH
目得：为了验证Lexicon Mediated Entropy Reduction（LEXIMER）的准确性，LEXIMER是作者开发的一种新的基于信息论的计算机算法，用于基于临床重要发现的存在对非结构化放射学报告进行独立分析和分类（F，其中T表示“真”）和后续行动的建议（R-T）。该研究得到了机构审查委员会人类研究委员会的批准。对比性去识别放射学报告（n = 1059），包括钡研究（n = 99）、计算机断层扫描（n = 107）、乳房X线摄影（n = 90）、磁共振成像（n = 108）、核医学（n = 99）、正电子发射断层扫描（n = 106）、放射摄影（n = 212）、超声检查（n = 131）的结果，和血管手术（n = 107）由两名放射科医生独立分析，然后使用LEXIMER将报告分为F-T和FTO（包含或不包含临床重要发现）类别和R-T和RTO（包含或不包含后续行动建议）类别。通过适当的统计学检验评估了LEXIMER将报告分为F-T和FTO以及R-T和RTO类别的准确性、敏感性、特异性以及阳性和阴性预测值。
PURPOSE: To validate the accuracy of Lexicon Mediated Entropy Reduction (LEXIMER), a new information theory-based computer algorithm developed by the authors for independent analysis and classification of unstructured radiology reports, based on the presence of clinically important findings (F, where T represents "true") and recommendations for subsequent action (R-T).MATERIALS AND METHODS: The study was approved by the Human Research Committee of the institutional review board. Consecutive de-identified radiology reports (n = 1059) comprising results of barium studies (n = 99), computed tomography (n = 107), mammography (n = 90), magnetic resonance imaging (n = 108), nuclear medicine (n = 99), positron emission tomography (n = 106), radiography (n = 212), ultrasonography (n = 131), and vascular procedures (n = 107) were independently analyzed by two radiologists and then with LEXIMER to categorize the reports into F-T and FTO (containing or not containing clinically important findings) categories and R-T and RTO (containing or not containing recommendations for subsequent action) categories. Accuracy, sensitivity, specificity, and positive and negative predictive values of LEXIMER for placing reports into F-T and FTO and R-T and RTO categories were assessed by using appropriate statistical tests.RESULTS: There was strong interobserver concordance between the two radiologists for placing radiology reports into F-T and R-T categories (kappa = 0.9, P