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Information from Searching Content with an Ontology-Utilizing Toolkit (iSCOUT)
Ronilda Lacson1, Katherine P Andriole, Luciano M Prevedello
1Center for Evidence-Based Imaging, Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, 75 Francis Street, Boston, MA 02115, USA. rlacson@partners.org
Journal of Digital Imaging
|February 22, 2012
Summary
A new toolkit, Information from Searching Content with an Ontology-Utilizing Toolkit (iSCOUT), automates radiology report analysis. Using controlled lexicons like NCIT significantly improves retrieval of relevant reports, enhancing efficiency.
Area of Science:
- Medical Informatics
- Natural Language Processing
- Radiology
Background:
- Radiology reports are crucial legal documents requiring manual analysis, which is time-consuming.
- Extracting specific information from unstructured text in these reports presents a significant challenge.
Purpose of the Study:
- To develop and evaluate a toolkit for automated information retrieval from radiology reports.
- To assess the impact of ontology-based query expansion on retrieval accuracy.
Main Methods:
- Development of the Information from Searching Content with an Ontology-Utilizing Toolkit (iSCOUT) with modules for data loading, header extraction, terminology interface, review, and analysis.
- Utilizing a controlled terminology, such as the National Cancer Institute Thesaurus (NCIT), for query expansion.
- Evaluation of iSCOUT's precision and recall for retrieving radiology reports containing liver cysts, with and without NCIT synonym utilization.
Main Results:
- iSCOUT achieved a precision of 0.92 and recall of 0.96 when utilizing NCIT for liver cyst report retrieval.
- Query expansion with NCIT synonyms significantly improved recall compared to using individual search terms (0.72 and 0.52).
Conclusions:
- The iSCOUT toolkit enables reliable automated retrieval of relevant radiology reports.
- Leveraging controlled lexicons within iSCOUT substantially enhances document retrieval performance for specific medical conditions.
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