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Should the ALARA concept and the Image Gently
campaign be terminated?
Mohan Doss, PhD, MCCPM
Medical Physicist, Diagnostic Imaging,
Fox Chase Cancer Center, Philadelphia, PA, USA
E-mail: mohan.doss@fccc.edu
Presentation at:
International Pediatric Radiology 2016,
Chicago, IL, on May 17, 2016
Revised Version 2.1 dated May 17, 2016
Copyright © 2016 by Mohan Doss.
Disclaimer: Opinions expressed in this presentation are my own professional
opinion, and do not necessarily represent those of my employer. 1
ALARA concept
• based on the linear no-threshold (LNT) Model assumption
and/or low-dose radiation cancer concerns
Image Gently campaign
• based on the assumed higher radio-sensitivity of children to
low-dose radiation-induced cancers
Examine the validity of both of these assumptions.
The LNT Model is justified based on the ideas
– Slight increase in radiation dose increases DNA damage
and mutations
– Slight increase in mutations increases cancers
(Linear relationships assumed)
Should the ALARA concept and the Image
Gently campaign be terminated?
2
3
Do mutations increase linearly with radiation dose?
When radiation dose increases, at low doses, mutations decrease.
Even in the absence of radiation:
There is naturally occurring DNA damage
Low-dose radiation (LDR):
Causes a small amount of DNA damage
<< Naturally occurring DNA damage
• Boosts body’s defenses –
antioxidants, DNA repair enzymes,…
• Decreases naturally occurring DNA
damage in the subsequent period
Final result:
Net DNA damage << Naturally occurring
DNA damage
Do Cancers Increase Linearly with Mutations?
4
Mutations accumulate at the highest rates during the period of growth at young
age, when most cell divisions are taking place. Cancers however occur at the
lowest rates during young age, for mice and humans. Percentage of patients
with cancerous mutations is unchanged from middle age to old age, whereas
cancer rates increase drastically at old age.
Cancers do not increase linearly with mutations
There are many more reasons to conclude:
Mutation model of cancer is not valid.
If mutations are not the key factor in cancer, what is?
Immune Suppression Model of Cancer
5
The tremendous increase in cancers when immune system is
suppressed indicates immune suppression may be the primary cause
of cancers. The increase in cancer risk with age can be qualitatively
explained by the age-related decrease in immune system response.
There are many more reasons to support the
Immune Suppression Model of Cancer
What is the effect of low-dose radiation on the
immune system?
6
Low-dose radiation enhances the immune system response.
Up-regulation of Rae1 and other ligands of the
NKG2D receptor. Activates NK cells.
The DNA Damage Response Arouses the
Immune System (Gasser and Raulet, 2006)
Effect of low-dose radiation exposures on cancer
7
Figure legend:
LNT model Prediction – Using BEIR VII
Report (NRC, 2006)
Taiwan - Residents of radio-contaminated
apartments in Taiwan (Hwang, 2006)
NSWS - Radiation workers in Nuclear
Shipyard Worker Study (Sponsler, 2005)
British Radiologists - British Radiologists
who entered service during the period 1955-
1979 (Berrington, 2001)
Mayak - Evacuated residents of villages near
Mayak Nulcear Weapons Facility
(Kostyuchenko, 1994)
Low-dose radiation exposures have resulted in reducing
cancers contradicting the LNT model prediction
There are many faulty publications that claim support for the LNT model or
low-dose radiation carcinogenicity. Such publications should not be used.
Atomic Bomb Survivor Data are Inconsistent with the LNT Model
LNT model was assumed in the
analysis of the data to extract
the Excess Relative Risks.
As radiation dose increases
from 0.25 Gy to 0.5 Gy, cancers
decrease, results in significant
curvature in dose-response
relationship, contradicting the
LNT model.
8
Atomic bomb survivor data (generally regarded as the most
important data for estimating health effects of radiation) no
longer support the LNT model
9
The shape of dose-response curve, with the correction for the likely bias in the
baseline cancer rate, is consistent with the concept of radiation hormesis.
(Ozasa et al, 2012) utilized lowest
radiation dose data (extrapolated
to zero dose) as the baseline
cancer rates while calculating the
Excess Relative Risk for cancer.
Since low-dose radiation
exposures would reduce cancers
(as seen earlier), baseline cancer
rates used would have a negative
bias.
In atomic bomb survivor data, low radiation doses reduce cancers.
Evidence for Radiation Hormesis in Atomic Bomb Survivor Data
Are children more radio-sensitive?
Data generally shown to claim higher
radio-sensitivity of children
However, excess cancers are
observed for high-dose radiation
exposures only in atomic bomb
survivors.
Only by LNT model extrapolation,
these graphs are extended to low-
doses.
But since there is no
evidence/justification for the LNT
model, extension of the graph to
low doses is not valid.
10
Higher sensitivity of children to radiation-induced cancers is
for high-dose radiation only. This cannot be extrapolated to
low-doses as the LNT model is not valid.
Other arguments used to raise concerns regarding low-dose radiation
exposures in children:
Children
- have higher proportion of dividing cells,
- more susceptible to mutations due to radiation.
This argument ignores defenses triggered by low-dose radiation.
Low-dose radiation  enhances antioxidants, DNA repair enzymes, etc.
- reduces overall mutations
- enhances the immune system
- would reduce cancers
There are many faulty publications that conclude CT scans cause cancer
in children. Such publications should be ignored, and not be used.
There should be no concerns regarding low-dose radiation exposures to
children, e.g. from CT scans 11
Are children more radio-sensitive?
Consequences of Misinformation on CT Scan Cancer Risk
12
Referring to pediatric CT scan data collected from many hospitals as
reported in (Goske, 2013), in an article describing harms from CT
radiation dose concerns, (Brody, 2014) stated: “1 in 20 paediatric
abdominal CT scans …..were inadequate for diagnostic purposes due
to excessive radiation dose reduction efforts.”
Consequences of Misinformation, ALARA, and Image Gently:
• Non-diagnostic CT scans
• Needed CT scans not being performed
Result in harm to pediatric patients
The definitive answer is:
YES
since there is no benefit of reduced cancers
from ALARA/Image Gently
but only harm to pediatric patients
of nondiagnostic scans and missed diagnoses13
Should the ALARA concept and the Image Gently
campaign be terminated?
Supplementary Slides
14
15
Evidence against the mutation model of cancer
Accumulated mutations in spleen of mice increase at the highest rates from
conception to maturity but lymphomas are at the lowest levels during this period
(DeGregori, 2013). For humans, children have lowest cancer rates (UK Cancer
Research) though they would be accumulating mutations at the highest rates.
Almost everyone has covert cancers, but lifetime risk of being diagnosed with
cancer is ~30% (Greaves, 2014)
There are mutagens that are not carcinogens, e.g. Sodium Azide (National
Toxicology Program, 1991)
There are carcinogens that are not mutagens, e.g. alcohol (Bagnardi, 2015)
Peto’s paradox - cancer incidence does not scale with body size (and lifespan)
across species. (Maciak, 2015)
Patients with xeroderma pigmentosa, who have defects in DNA repair that greatly
increase sensitivity to the sun and various mutagens, have elevated rates of skin
cancer but normal rates of other cancers, despite the presence of the DNA repair
defect in all cells (Cairns, 1981)
Normal cells transplanted into heterologous tissues resulted in tumors (Furth, 1947)
and tumor cells transplanted into normal tissue reverted to normal tissue
(Illmensee, 1976)
Spontaneous regression of tumor observed for several cancers (Haas, 1988)
Return to Slide Show
16
Evidence supporting immune suppression model of cancer
Organ transplant, HIV/AIDS patients have their immune systems suppressed and
they have a much higher risk of cancers (Oliveira Cobucci, 2012)
Children have the strongest immune system , and aging reduces immune system
response (Levin, 2012). Children have the lowest cancer risk and aging increases
cancer risk drastically (UK Cancer Research)
Females have stronger immune system than males (Furman, 2014) and have lower
risk of cancer compared to males (Siegel, 2015)
Allergy sufferers have overactive immune system and have lower risk of cancer
(Wang, 2005)
Breastfeeding enhances immune system in infants (Turfkruyer, 2015) and it
reduces childhood leukemias (Amitay, 2015)
Exercise (Woods, 2009), infections (Karbach, 2012), and low-dose radiation (Yang,
2014) stimulate the immune system and reduce cancers (Orsini, 2008),
(Richardson, 1999), (Doss, 2015)
High-dose radiation (Liu, 2003), cigarettes (Stämpfli, 2009), and alcohol (Molina,
2010) suppress the immune system and they all increase cancer risk (Ozasa,
2012), (Stämpfli, 2009), (Nelson, 2013)
Immune system is a major determinant in regulating the abscopal effect, the
occasional spontaneous regression of untreated tumor following radiation therapy
(Grass, 2016)
Return to Slide Show

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Should the alara concept and the image gently campaign be terminated?

  • 1. Should the ALARA concept and the Image Gently campaign be terminated? Mohan Doss, PhD, MCCPM Medical Physicist, Diagnostic Imaging, Fox Chase Cancer Center, Philadelphia, PA, USA E-mail: mohan.doss@fccc.edu Presentation at: International Pediatric Radiology 2016, Chicago, IL, on May 17, 2016 Revised Version 2.1 dated May 17, 2016 Copyright © 2016 by Mohan Doss. Disclaimer: Opinions expressed in this presentation are my own professional opinion, and do not necessarily represent those of my employer. 1
  • 2. ALARA concept • based on the linear no-threshold (LNT) Model assumption and/or low-dose radiation cancer concerns Image Gently campaign • based on the assumed higher radio-sensitivity of children to low-dose radiation-induced cancers Examine the validity of both of these assumptions. The LNT Model is justified based on the ideas – Slight increase in radiation dose increases DNA damage and mutations – Slight increase in mutations increases cancers (Linear relationships assumed) Should the ALARA concept and the Image Gently campaign be terminated? 2
  • 3. 3 Do mutations increase linearly with radiation dose? When radiation dose increases, at low doses, mutations decrease. Even in the absence of radiation: There is naturally occurring DNA damage Low-dose radiation (LDR): Causes a small amount of DNA damage << Naturally occurring DNA damage • Boosts body’s defenses – antioxidants, DNA repair enzymes,… • Decreases naturally occurring DNA damage in the subsequent period Final result: Net DNA damage << Naturally occurring DNA damage
  • 4. Do Cancers Increase Linearly with Mutations? 4 Mutations accumulate at the highest rates during the period of growth at young age, when most cell divisions are taking place. Cancers however occur at the lowest rates during young age, for mice and humans. Percentage of patients with cancerous mutations is unchanged from middle age to old age, whereas cancer rates increase drastically at old age. Cancers do not increase linearly with mutations There are many more reasons to conclude: Mutation model of cancer is not valid. If mutations are not the key factor in cancer, what is?
  • 5. Immune Suppression Model of Cancer 5 The tremendous increase in cancers when immune system is suppressed indicates immune suppression may be the primary cause of cancers. The increase in cancer risk with age can be qualitatively explained by the age-related decrease in immune system response. There are many more reasons to support the Immune Suppression Model of Cancer
  • 6. What is the effect of low-dose radiation on the immune system? 6 Low-dose radiation enhances the immune system response. Up-regulation of Rae1 and other ligands of the NKG2D receptor. Activates NK cells. The DNA Damage Response Arouses the Immune System (Gasser and Raulet, 2006)
  • 7. Effect of low-dose radiation exposures on cancer 7 Figure legend: LNT model Prediction – Using BEIR VII Report (NRC, 2006) Taiwan - Residents of radio-contaminated apartments in Taiwan (Hwang, 2006) NSWS - Radiation workers in Nuclear Shipyard Worker Study (Sponsler, 2005) British Radiologists - British Radiologists who entered service during the period 1955- 1979 (Berrington, 2001) Mayak - Evacuated residents of villages near Mayak Nulcear Weapons Facility (Kostyuchenko, 1994) Low-dose radiation exposures have resulted in reducing cancers contradicting the LNT model prediction There are many faulty publications that claim support for the LNT model or low-dose radiation carcinogenicity. Such publications should not be used.
  • 8. Atomic Bomb Survivor Data are Inconsistent with the LNT Model LNT model was assumed in the analysis of the data to extract the Excess Relative Risks. As radiation dose increases from 0.25 Gy to 0.5 Gy, cancers decrease, results in significant curvature in dose-response relationship, contradicting the LNT model. 8 Atomic bomb survivor data (generally regarded as the most important data for estimating health effects of radiation) no longer support the LNT model
  • 9. 9 The shape of dose-response curve, with the correction for the likely bias in the baseline cancer rate, is consistent with the concept of radiation hormesis. (Ozasa et al, 2012) utilized lowest radiation dose data (extrapolated to zero dose) as the baseline cancer rates while calculating the Excess Relative Risk for cancer. Since low-dose radiation exposures would reduce cancers (as seen earlier), baseline cancer rates used would have a negative bias. In atomic bomb survivor data, low radiation doses reduce cancers. Evidence for Radiation Hormesis in Atomic Bomb Survivor Data
  • 10. Are children more radio-sensitive? Data generally shown to claim higher radio-sensitivity of children However, excess cancers are observed for high-dose radiation exposures only in atomic bomb survivors. Only by LNT model extrapolation, these graphs are extended to low- doses. But since there is no evidence/justification for the LNT model, extension of the graph to low doses is not valid. 10 Higher sensitivity of children to radiation-induced cancers is for high-dose radiation only. This cannot be extrapolated to low-doses as the LNT model is not valid.
  • 11. Other arguments used to raise concerns regarding low-dose radiation exposures in children: Children - have higher proportion of dividing cells, - more susceptible to mutations due to radiation. This argument ignores defenses triggered by low-dose radiation. Low-dose radiation  enhances antioxidants, DNA repair enzymes, etc. - reduces overall mutations - enhances the immune system - would reduce cancers There are many faulty publications that conclude CT scans cause cancer in children. Such publications should be ignored, and not be used. There should be no concerns regarding low-dose radiation exposures to children, e.g. from CT scans 11 Are children more radio-sensitive?
  • 12. Consequences of Misinformation on CT Scan Cancer Risk 12 Referring to pediatric CT scan data collected from many hospitals as reported in (Goske, 2013), in an article describing harms from CT radiation dose concerns, (Brody, 2014) stated: “1 in 20 paediatric abdominal CT scans …..were inadequate for diagnostic purposes due to excessive radiation dose reduction efforts.” Consequences of Misinformation, ALARA, and Image Gently: • Non-diagnostic CT scans • Needed CT scans not being performed Result in harm to pediatric patients
  • 13. The definitive answer is: YES since there is no benefit of reduced cancers from ALARA/Image Gently but only harm to pediatric patients of nondiagnostic scans and missed diagnoses13 Should the ALARA concept and the Image Gently campaign be terminated?
  • 15. 15 Evidence against the mutation model of cancer Accumulated mutations in spleen of mice increase at the highest rates from conception to maturity but lymphomas are at the lowest levels during this period (DeGregori, 2013). For humans, children have lowest cancer rates (UK Cancer Research) though they would be accumulating mutations at the highest rates. Almost everyone has covert cancers, but lifetime risk of being diagnosed with cancer is ~30% (Greaves, 2014) There are mutagens that are not carcinogens, e.g. Sodium Azide (National Toxicology Program, 1991) There are carcinogens that are not mutagens, e.g. alcohol (Bagnardi, 2015) Peto’s paradox - cancer incidence does not scale with body size (and lifespan) across species. (Maciak, 2015) Patients with xeroderma pigmentosa, who have defects in DNA repair that greatly increase sensitivity to the sun and various mutagens, have elevated rates of skin cancer but normal rates of other cancers, despite the presence of the DNA repair defect in all cells (Cairns, 1981) Normal cells transplanted into heterologous tissues resulted in tumors (Furth, 1947) and tumor cells transplanted into normal tissue reverted to normal tissue (Illmensee, 1976) Spontaneous regression of tumor observed for several cancers (Haas, 1988) Return to Slide Show
  • 16. 16 Evidence supporting immune suppression model of cancer Organ transplant, HIV/AIDS patients have their immune systems suppressed and they have a much higher risk of cancers (Oliveira Cobucci, 2012) Children have the strongest immune system , and aging reduces immune system response (Levin, 2012). Children have the lowest cancer risk and aging increases cancer risk drastically (UK Cancer Research) Females have stronger immune system than males (Furman, 2014) and have lower risk of cancer compared to males (Siegel, 2015) Allergy sufferers have overactive immune system and have lower risk of cancer (Wang, 2005) Breastfeeding enhances immune system in infants (Turfkruyer, 2015) and it reduces childhood leukemias (Amitay, 2015) Exercise (Woods, 2009), infections (Karbach, 2012), and low-dose radiation (Yang, 2014) stimulate the immune system and reduce cancers (Orsini, 2008), (Richardson, 1999), (Doss, 2015) High-dose radiation (Liu, 2003), cigarettes (Stämpfli, 2009), and alcohol (Molina, 2010) suppress the immune system and they all increase cancer risk (Ozasa, 2012), (Stämpfli, 2009), (Nelson, 2013) Immune system is a major determinant in regulating the abscopal effect, the occasional spontaneous regression of untreated tumor following radiation therapy (Grass, 2016) Return to Slide Show