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A Metadata Extraction Approach for Clinical Case Reports to Enable Advanced Understanding of Biomedical Concepts
Published on: September 20, 2018
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Meta-generalis: A novel method for structuring information from radiology reports.
Flavio Barbosa, Agma Jucci Traina, Valdair Francisco Muglia1
1Valdair Muglia, MD., Ph.D., Universidade de Sao Paulo Ribeirao Preto School of Medicine, Internal Medicine, Av Bandeirantes 3900, Campus Monte Alegre, Ribeirao Preto, Sao Paulo 14049900, Brazil,
Applied Clinical Informatics
|September 2, 2016
Summary
This study developed a methodology to structure radiology reports using text mining and ontological conceptualization. The approach enhances information retrieval and communication for Brazilian Portuguese medical imaging reports.
Area of Science:
- Medical Informatics
- Radiology
- Natural Language Processing
Background:
- Structured radiology reports improve information retrieval but can limit specialist descriptions.
- Free-text radiology reports may contain valuable details missed by rigid structures.
- Ontological structures derived from free texts offer a potential solution for comprehensive radiology reporting.
Purpose of the Study:
- To develop a methodology for structuring radiology reports in Brazilian Portuguese.
- To create an ontological structure for information in radiology reports.
- To define terminology specifications for Brazilian Portuguese radiology reports.
Main Methods:
- Collected 1,701 lumbosacral spine MRI reports from three institutions.
- Applied text mining and ontological conceptualization to extract and structure information.
- Ten lumbosacral MRI specialists evaluated the extracted terminology and report structures.
Main Results:
- A six-step methodology was established for structuring radiology reports.
- Identified three distinct textual superstructures with terminological variations.
- Conceptualized 4,183 candidate-terms into 727 concepts with extensive relationships.
Conclusions:
- The proposed methodology enables intuitive and practical structuring of radiology report information.
- Successfully extracted lexicon units and normalized terms using ontological conceptualization.
- Maintained references to original categories and free-text reports throughout the structuring process.
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