title: The communication of the radiation risk from CT in relation to its clinical benefit in the era of personalized medicine: part 1: the radiation risk from CT.
abstract: The theory of radiation carcinogenesis has been debated for decades. Most estimates of the radiation risks from CT have been based on extrapolations from the lifespan follow-up study of atomic bomb survivors and on follow-up studies after therapeutic radiation, using the linear no-threshold theory. Based on this, many population-based projections of induction of future cancers by CT have been published that should not be used to estimate the risk to an individual because of their large margin of error. This has changed recently with the publication of three large international cohort follow-up studies, which link observed cancers to CT scans received in childhood. A fourth ongoing multi-country study in Europe is expected to have enough statistical power to address the limitations of the prior studies. The United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR) report released in 2013 specifically addresses variability in response of the pediatric population exposed to ionizing radiation. Most authorities now conclude that there is enough evidence to link future cancers to the radiation exposure from a single CT scan in childhood but that cancer risk estimates for individuals must be based on the specifics of exposure, age at exposure and absorbed dose to certain tissues. Generalizations are not appropriate, and the communication of the CT risk to individuals should be conducted within the framework of personalized medicine.
authors.affiliation: Division of Pediatric Radiology, Massachusetts General Hospital, 34 Fruit St., White 246A, Boston, MA, 02114, USA, swestra@partners.org.
authors.forename: Sjirk J
authors.initials: SJ
authors.lastname: Westra
mesh_terms: D002648:Child; D019317:Evidence-Based Medicine; D005260:Female; D006801:Humans; D007258:Informed Consent; D038622:Internationality; D008297:Male; D009381:Neoplasms, Radiation-Induced / Q000453:epidemiology*; D010353:Patient Education as Topic; D057285:Precision Medicine / Q000706:statistics & numerical data*; D015995:Prevalence; D018570:Risk Assessment / Q000379:methods; D014057:Tomography, X-Ray Computed / Q000706:statistics & numerical data*