Related Experiment Video
Updated: May 4, 2026

10:16
Autoradiography as a Simple and Powerful Method for Visualization and Characterization of Pharmacological Targets
Published on: March 12, 2019
45.6K
Mapping institution-specific study descriptions to RadLex Playbook entries
Thusitha Mabotuwana1, Michael C Lee, Eric V Cohen-Solal
1Clinical Informatics, Interventional, and Translational Solutions (CIITS), Philips Research North America, 345 Scarborough Road, Briarcliff Manor, NY, 10510, USA, thusitha.mabotuwana@philips.com.
Journal of Digital Imaging
|January 16, 2014
Summary
Standardizing imaging procedure names is crucial for national registries. This study introduces a semi-automatic algorithm and tool to map institution-specific descriptions to RSNA
Area of Science:
- Medical Imaging Informatics
- Radiology Standardization
- Health Data Management
Background:
- Lack of standardized imaging procedure nomenclature hinders national registry creation and data comparison.
- Challenges exist in comparing CT procedure doses due to inconsistent naming conventions across institutions.
Purpose of the Study:
- To develop a semi-automatic method for mapping institution-specific imaging procedure descriptions to RSNA's RadLex Playbook entries.
- To facilitate the standardization of imaging procedure terminology for improved data aggregation and analysis.
Main Methods:
- Developed an algorithm to extract RadLex codes from procedure descriptions and map them to RadLex Playbook identifiers (RPIDs).
- Created a tool with single-procedure, bulk, and exploratory modes for mapping and understanding RPID attribute effects.
- Validated the algorithm using 166 production CT procedure descriptions.
Main Results:
- Successfully developed and validated a semi-automatic algorithm and tool for mapping imaging procedure descriptions to RPIDs.
- Demonstrated the tool's capability to assist administrators in standardizing procedure terminology.
- The system aids in creating a more unified approach to imaging procedure classification.
Conclusions:
- The developed algorithm and tool effectively address the challenge of non-standardized imaging procedure naming.
- Implementation of this system can significantly improve the creation and utility of national imaging registries.
- Facilitates consistent data collection and analysis for CT procedures and potentially other imaging modalities.

