@misc{oai:repo.qst.go.jp:00069627,
 author = {Ando, Yutaka and Kawaguchi, Osamu and Futami, Hikaru and Yamagishi, Hirotada and Fujii, Hirofumi and Tsukamoto, Nobuhiro and Kasamatsu, Tomotaka and Kaneko, Hiroshi and Osada, Masakazu and Kurosaki, Kaori and Kubo, Atsushi and 安藤 裕 and 川口 修 and 藤井 博史 and 塚本 信宏},
 month = {Dec},
 note = {-Background-
DICOM Structuring Reporting (DICOM-SR) complying with RadLex terminology has more advantage of improving retrieval performance of radiology reports. The aim of this study was to create DICOM-SR object with RadLex Terminology from Free-Text Radiology Reports.
-Evaluation-
In RSNA 2007, we had proposed the method that can structuralize free-text radiology reports written in Japanese with enough precision. The method consisted of two algorithms: the first one was to extract words from free-text radiology reports with reference to the adjusted dictionary, and the second one was to create the semantic combination of extracted words to describe contents of radiology reports.
In this study, we developed the system to automatically create a DICOM-SR object by correlating RadLex terms with words extracted from radiology reports.
We randomly selected 300 Japanese words which were extracted from radiology reports of thoracic CT and cerebral perfusion scintigraphy, and assessed the matching ratio between the selected words and RadLex terms of the secondary version. As a result, the matching ratio was 74%.
-Discussion-
Some terms are undefined in RadLex of the secondary version, e.g., terms categorized into 'Visual feature' and into 'Visual or Casual Relationships' which define relationship between findings described in free-text radiology reports using adjective phrases and narrative expression. We considered it necessary for improvement of matching ratio that RadLex terminology is continuously extended based on analyzing
contents of radiology reports. With the RadLex Relationship hierarchy between combinations of terms, we expect to construct the advanced search mechanism of radiology reports.
-Conclusion-
DICOM-SR object with the combination of RadLex terms was automatically generated from free-text radiology reports by our developed system with the structuring method., RSNA'08 94th Scientific Assembly and Annual Meeting},
 title = {Conversion of Japanese free-text radiology Reports to DICOM structured reports using translated RadLex terminology.},
 year = {2008}
}