A novel tool for user-friendly estimation of natural, diagnostic and professional radiation risk: Radio-Risk software

Eur J Radiol. 2012 Nov;81(11):3563-7. doi: 10.1016/j.ejrad.2011.05.039. Epub 2011 Aug 4.

Abstract

Background: Awareness of radiological risk is low among doctors and patients. An educational/decision tool that considers each patient' s cumulative lifetime radiation exposure would facilitate provider-patient communication.

Aim: The purpose of this work was to develop user-friendly software for simple estimation and communication of radiological risk to patients and doctors as a part of the SUIT-Heart (Stop Useless Imaging Testing in Heart disease) Project of the Tuscany Region.

Methods: We developed a novel software program (PC-platform, Windows OS fully downloadable at http://suit-heart.ifc.cnr.it) considering reference dose estimates from American Heart Association Radiological Imaging 2009 guidelines and UK Royal College of Radiology 2007 guidelines. Cancer age and gender-weighted risk were derived from Biological Effects of Ionising Radiation VII Committee, 2006.

Results: With simple input functions (demographics, age, gender) the user selects from a predetermined menu variables relating to natural (e.g., airplane flights and geo-tracked background exposure), professional (e.g., cath lab workers) and medical (e.g., CT, cardiac scintigraphy, coronary stenting) sources. The program provides a simple numeric (cumulative effective dose in milliSievert, mSv, and equivalent number of chest X-rays) and graphic (cumulative temporal trends of exposure, cancer cases out of 100 exposed persons) display.

Conclusions: A simple software program allows straightforward estimation of cumulative dose (in multiples of chest X-rays) and risk (in extra % lifetime cancer risk), with simple numbers quantifying lifetime extra cancer risk. Pictorial display of radiation risk may be valuable for increasing radiological awareness in cardiologists.

Publication types

  • Research Support, Non-U.S. Gov't

MeSH terms

  • Humans
  • Neoplasms, Radiation-Induced / epidemiology*
  • Prevalence
  • Radiation Dosage*
  • Radiography / statistics & numerical data*
  • Radiometry / methods*
  • Risk Assessment
  • Software*
  • User-Computer Interface*