RADEX: a rule-based clinical and radiology data extraction tool demonstrated on thyroid ultrasound reports

Question Radiology reports contain vital information that is buried in unstructured free-text fields. Can we extract this information effectively for research and audit applications? Findings A rule-based RAdiology Data Extraction tool (RADEX) is described and used to classify fourteen key findings from thyroid ultrasound reports with sensitivity and specificity > 0.95. Clinical relevance RADEX offers clinicians and researchers a time-saving tool to accelerate structured data collection. This practical approach prioritises transparency, repeatability, and usability, enabling new insights into improved patient care.

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Publication Details

Journal
European Radiology
Published
2025-02-13
DOI
https://doi.org/10.1007/s00330-025-11416-4
Citations
5
Primary Topic
Topic Modeling
Type
article
Field-Weighted Citation Impact
12.40

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article

RADEX: a rule-based clinical and radiology data extraction tool demonstrated on thyroid ultrasound reports

James R. McLaughlan, James H. Chandler, Tze Min Wah, Shishir Karthik et al.
5 citations
European Radiology
Topic Modeling
12.40
article

RADEX: a rule-based clinical and radiology data extraction tool demonstrated on thyroid ultrasound reports

James R. McLaughlan, James H. Chandler, Tze Min Wah, Shishir Karthik, Helen Ng, L.N. Howell, A. Zarei, Zara Court
article en
5 citations

Abstract

Question Radiology reports contain vital information that is buried in unstructured free-text fields. Can we extract this information effectively for research and audit applications? Findings A rule-based RAdiology Data Extraction tool (RADEX) is described and used to classify fourteen key findings from thyroid ultrasound reports with sensitivity and specificity > 0.95. Clinical relevance RADEX offers clinicians and researchers a time-saving tool to accelerate structured data collection. This practical approach prioritises transparency, repeatability, and usability, enabling new insights into improved patient care.

European RadiologyVol. 35(8)
University of Leeds (GB), Leeds Teaching Hospitals NHS Trust (GB), St James's University Hospital (GB)
Engineering and Physical Sciences Research Council
Industry, innovation and infrastructure
Openalex Percentile: Top 2%
Topic Modeling
12.40
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