Work

A new view of radiation-induced cancer: integrating short- and long-term processes. Part II: second cancer risk estimation

Year: 2009

Type: article

Abstract: As the number of cancer survivors grows, prediction of radiotherapy-induced second cancer risks becomes increasingly important. Because the latency period for solid tumors is long, the risks of recently introduced radiotherapy protocols are not yet directly measurable. In the accompanying article, we presented a new biologically based mathematical model, which, in principle, can estimate second cancer risks for any protocol. The novelty of the model is that it integrates, into a single formalism, mechanistic analyses of pre-malignant cell dynamics on two different time scales: short-term during radiotherapy and recovery; long-term during the entire life span. Here, we apply the model to nine solid cancer types (stomach, lung, colon, rectal, pancreatic, bladder, breast, central nervous system, and thyroid) using data on radiotherapy-induced second malignancies, on Japanese atomic bomb survivors, and on background US cancer incidence. Potentially, the model can be incorporated into radiotherapy treatment planning algorithms, adding second cancer risk as an optimization criterion.

Source: Radiation and Environmental Biophysics

DOI: 10.1007/s00411-009-0231-2

Authors: Igor Shuryak, Philip Hahnfeldt, Lynn Hlatky, Rainer K. Sachs, David J. Brenner

Institutions: Columbia University Irving Medical Center, Tufts University, St. Elizabeth's Medical Center, University of California, Berkeley

Language: English

Topic: Effects of Radiation Exposure

Subfield: Radiology, Nuclear Medicine and Imaging

Field: Medicine

Domain: Health Sciences

SDG: Good health and well-being

Open Access status: hybrid

Estimated APC paid: $3,290