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Data quality of open source extraction software unified with data repository in computed tomography (CT) radiation dose monitoring

Friday, November 08, 2013 — Poster Session III

10:00 a.m. – 12:00 p.m.

FAES Academic Center (Upper-Level Terrace)




  • VM Derderian
  • JW Siegelman
  • T Cook
  • S Rath
  • EC Jones
  • C Lee
  • LR Folio


Purpose: To assess utility and data quality of open-source computed tomography (CT) scanner output data extraction and management software merge with a clinical data repository (Biomedical Translational Research Information System, BTRIS) in a research hospital CT radiation monitoring program. Methods: Following IRB exemption, 250 consecutive CT scanner parameters (CTDIvol, DLP) extracted by RADIANCE ( were exported and integrated with clinical data in the NIH BTRIS data repository; accession and medical record numbers, study description and scanner were matched with patient records (BMI, demographics, protocol/physician). One month of RADIANCE data was compared with PACS. Resource cost savings from querying merged database versus manual extraction was estimated. Results: RADIANCE capture rate was 84% (250/296); 18% (40/222) of patients had missing data. Overall 41% missed scans were cardiac, 13% sinus, 11% chest/abdomen/pelvis, and 9% chest; 63% were missed from one scanner. Incomplete capture rate was due to incompatible vendor layouts and incomplete dose page distribution for multi-region studies. The data repository matched PACS and returned results for all 250 exams sent. Estimated time saved for one month of data queries was 21 hours. Conclusions: Our sampling study identified data oversight and capture discrepancies; these open-source limitations can be mitigated through stewardship.

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