Radiation related cancer risk & benefit/risk assessment for screening procedures

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WHO Workshop on Justification of CT for IHA 15-17 Oct 2014 Radiation related cancer risk & benefit/risk assessment for screening procedures Elke A. Nekolla BfS Federal Office for Radiation Protection

Radiation risk Background Risk of low levels of radiation Considerable controversy regarding the risk of low levels of radiation typical for diagnostic radiation exposures since radiation induced cancers cannot be recognized as such it is only by means of epidemiological studies that increases in the spontaneous cancer incidence rates of irradiated groups can be detected a significant excess of cancers has not been detected in humans for doses below around 50 to 100 msv Radiation risks evaluated at low dose levels are not based on epidemiological evidence Excess cancer cases calculated by means of risk models are hypothetical for low dose levels

Radiation risk Background LNT hypothesis Various scientific bodies applied the Linear Non-Threshold (LNT) hypothesis [International Commission on Radiological Protection (ICRP), United Nations Scientific Committee on the Effects of Atomic Radiation (UNSCEAR), Biological Effects on Ionizing Radiation (BEIR) committee] No threshold Linearity Any radiation dose no matter how small may cause detrimental health effects (in particular the induction of cancer) The probability of these stochastic effects is proportional to the dose absorbed in the tissue

Stochastic Effects Radiation risk Background LNT hypothesis Significant observations for doses above 100 msv Dose-Effect Relationships Extrapolation from risks determined at high dose exposures to low-dose exposures Linear non threshold LNT Supra-linear function Linear with threshold LT Radiation hormesis ICRP 103: Supra-L LNT threshold hormesis Absorbed Dose LNT hypothesis is considered to be the best approach to managing risk from radiation exposure precautionary principle LT 50-100 msv

Radiation risk Assessment BEIR VII Radiation risk models from BEIR VII 2006 (BEIR: Biological Effects of Ionizing Radiation) Full review of the available biological, biophysical, and radio-epidemiological literature current Life Span Study data of the Japanese A-bomb survivors - for cancer incidence (1958-1998) & - for cancer mortality (1950-2000); current meta analyses based on data of medically exposed persons who were radiation exposed either - for diagnostic reasons or - for radiotherapy

Radiation risk BEIR VII radiation risk models Relative Risk models Absolute Risk models - for different cancer sites - depending on organ dose, age, age at exposure Assessment of Lifetime Attributable Risk LAR for the U.S. population: LAR = excess lifetime risk, to be clinically diseased by (or to die from) a specific cancer (after radiation exposure until end of life) Dose and Dose Rate Effectiveness Factor DDREF = 1.5

Deviant from BEIR VII: Modified BEIR VII model for breast cancer (conservative approach) DDREF = 1 (conservative approach) Radiation risk BEIR VII BfS approach: BEIR VII models were applied to estimate age, gender and organ specific excess lifetime risks LAR for a German population using: German baseline rates for cancer incidence / mortality, German life table data These LAR values were applied to estimate LARs for specific X-ray procedures using organ doses from typical X-ray procedures

Radiation risk BEIR VII Lifetime attributable risk LAR for an organ dose of 100 msv in dependence on age at exposure according to BEIR-VII models applied to a German population (German life tables and German cancer incidence rates)

Radiation risk Assessment of radiation risk in patients Examples Estimates of total LAR for representative CT examinations of the abdomen, pelvis, thorax, and head in dependence on the age the CT is performed females males

Excess risk in relation to baseline risk Put the radiation risk in relation Baseline lifetime risk of developing or dying from cancer (Germany, 2010): All cancer excl. non-melanoma skin cancer Risk of developing Risk of dying from Males 51% 26% Females 43% 20% Krebs in Deutschland (= German cancer report) 2009/2010, Robert-Koch-Institut 2014 www.krebsdaten.de

Opportunistic / Individual Health Assessment CT procedures predominantly discussed: Lung CT for early detection of lung cancer, in particular in smokers and asbestos workers Virtual CT colonoscopy also denoted as CT colonography for early detection of intestinal polyps and colorectal cancer Calcium scoring, i.e. CT quantification of coronary artery calcification (which is considered as sensitive marker of arteriosclerosis)

Opp. / Indiv. Health Assessment Radiation risk Example lung CT smoker 35 mas, 120 kv, collimation 4 mm, pitch 1.8, scan length 34 cm, CTDI vol : 3.8 mgy Organ dose (msv) per examination ORGAN m f Breast 5.7 Thyroid 7 7.9 Oesophagus 5.8 5.8 Lung 5.7 5 Liver 0.8 0.5 Stomach 0.5 0.4 R. bone marrow 1.5 1.5 20 exams between 50 and 69 years of age effective dose per examination 1.7 / 1.9 msv (m / f) Based on BEIR VII: Lifetime Attributable Risk LAR (incidence) 0.2 % / 0.6 % (m / f)

Opp. / Indiv. Health Assessment Radiation risk Example lung CT female / male smoker LAR for 20 exams between 50 and 69 years of age effective dose per examination

Opp. / Indiv. Health Assessment Radiation risk Based on BEIR VII Lung CT Colon (virtual coloscopy) Heart (Calcium Scoring) Mammography Screening Program Screening scenario 50-69 annually: 20 x 50-70 every 5 yrs.: 5 x 50-66 every 4 yrs.: 5 x 50-68 every 2 yrs.: 10 x cumulative effective dose (msv) Lifetime Attributable Risk LAR (%) (Incidence) m / f m f 34 / 38 0.2 0.6 30 / 36 0.2 0.3 10 / 13 0.1 0.2 - / 4-0.03

Opp. / Indiv. HA Benefit vs. radiation risk Benefit? At present, scientific evidence for the benefit from CT screening is unclear: Several clinical / feasibility studies Randomised controlled trials (RCT) for lung cancer (published results of NLST: Mort. Red. 20% / other trials: results not before 2015) Except for lung cancer, no valid data from RCTs available yet in contrast to X-ray mammography

Opp. / Indiv. HA Benefit vs. radiation risk Unknown mortality reduction method: benefit risk! 10 required reduction in disease mortality to achieve a benefit risk ratio of at least 10

Opp. / Indiv. HA Benefit vs. radiation risk Example lung CT female / male smoker LAR for 20 exams between 50 and 69 years of age effective dose per examination

Opp. / Indiv. HA Benefit vs. radiation risk benefit risk 10 Lung CT Colon (virtual coloscopy) Heart (Calcium Scoring) Mammography Screening Program Screening scenario 50-69 annually: 20 x 50-70 every 5 yrs.: 5 x 50-66 every 4 yrs.: 5 x 50-68 every 2 yrs.: 10 x required reduction in mortality (%) m 10 21 41 63 6 18-4 f

Conclusion For specific CT screening scenarios, organ doses can be estimated through representative scanning protocols, and radiation risks can be assessed through established risk models These radiation risks should not be completely neglected This is esp. true when data from RCTs demonstrating a significant benefit due to CT screening are missing However, other adverse effects related to CT screening may be considered as more important, and should be the focus of further scientific discussion. In this context and as far as radiation protection is concerned radiologic follow-up procedures (typically high dose procedures) also have to be considered.