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Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics
10:17

Guidelines and Experience Using Imaging Biomarker Explorer (IBEX) for Radiomics

Published on: January 8, 2018

Development of a Google-based search engine for data mining radiology reports.

Joseph P Erinjeri1, Daniel Picus, Fred W Prior

  • 1Mallinckrodt Institute of Radiology, Washington University School of Medicine, 510 South Kingshighway Boulevard, Campus Box 8131, Saint Louis, MO 63110, USA. erinjeri@gmail.com

Journal of Digital Imaging
|April 9, 2008
PubMed
Summary

This study developed a secure, HIPAA-compliant data-mining tool for radiology reports using Google technology. The tool enhances radiologist productivity for clinical, educational, and research tasks.

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Area of Science:

  • Medical Informatics
  • Radiology Data Management

Background:

  • Academic radiology departments generate vast amounts of textual data in reports.
  • Efficiently accessing and analyzing this data is crucial for clinical care, research, and education.
  • Existing tools may lack the necessary security, search capabilities, or user-friendliness.

Purpose of the Study:

  • To develop a secure, Google-based data-mining tool for radiology reports.
  • To utilize free and open-source technologies for tool development.
  • To evaluate the tool's utility within an academic radiology setting.

Main Methods:

  • Created a Health Insurance Portability and Accountability Act (HIPAA)-compliant repository and search engine.
  • Indexed 2.9 million radiology reports (7.9 GB) using Google Desktop Enterprise.
  • Developed an HTML interface for user queries and a PERL script for results processing.

Main Results:

  • Indexing processed approximately 25,000 reports per hour.
  • Rapid retrieval of relevant reports for common and rare keywords demonstrated high efficiency.
  • The tool successfully presented ranked search results in a web browser.

Conclusions:

  • The developed data-mining tool enhances the productivity of academic radiologists.
  • Leveraging familiar Google interface elements facilitates quick adoption and effective searching.
  • This approach supports clinical, educational, research, and administrative tasks in radiology.