Automated Extraction of Radiation Dose Information for CT Examinations

• Published in: Journal of the American College of Radiology Vol. 7; no. 11; pp. 871 - 877
• Main Authors: Cook, Tessa S., MD, PhD, Zimmerman, Stefan, MD, Maidment, Andrew D.A., PhD, Kim, Woojin, MD, Boonn, William W., MD
• Format: Journal Article
• Language: English
• Published: United States Elsevier Inc 01.11.2010
• Subjects: Algorithms; Body Burden; Data Mining - methods; Database Management Systems; patient safety; Pennsylvania; quality assurance; Radiation dose reporting; Radiology; Radiometry - methods; Radiometry - statistics & numerical data; Tomography, X-Ray Computed - statistics & numerical data; Pennsylvania; Radiation dose reporting; CT; patient safety; quality assurance
• ISSN: 1546-1440; 1558-349X
• DOI: 10.1016/j.jacr.2010.06.026

Exposure to radiation as a result of medical imaging is currently in the spotlight, receiving attention from Congress as well as the lay press. Although scanner manufacturers are moving toward including effective dose information in the Digital Imaging and Communications in Medicine headers of imaging studies, there is a vast repository of retrospective CT data at every imaging center that stores dose information in an image-based dose sheet. As such, it is difficult for imaging centers to participate in the ACR's Dose Index Registry. The authors have designed an automated extraction system to query their PACS archive and parse CT examinations to extract the dose information stored in each dose sheet. First, an open-source optical character recognition program processes each dose sheet and converts the information to American Standard Code for Information Interchange (ASCII) text. Each text file is parsed, and radiation dose information is extracted and stored in a database which can be queried using an existing pathology and radiology enterprise search tool. Using this automated extraction pipeline, it is possible to perform dose analysis on the >800,000 CT examinations in the PACS archive and generate dose reports for all of these patients. It is also possible to more effectively educate technologists, radiologists, and referring physicians about exposure to radiation from CT by generating report cards for interpreted and performed studies. The automated extraction pipeline enables compliance with the ACR's reporting guidelines and greater awareness of radiation dose to patients, thus resulting in improved patient care and management.