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AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAAA AAAAAAAAAAAA ------=_NextPart_01C54980.3FB20500 Content-Location: file:///C:/23809993/WHO_05_DJS_files/slide0016.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" WHO_05
Dosimetric issues
for= radon risk assessment
A case for dose =
as a risk surrogate f= or GBD
------=_NextPart_01C54980.3FB20500 Content-Location: file:///C:/23809993/WHO_05_DJS_files/slide0013.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" WHO_05
Visu= al examples of risk estimate uncertainties
Measurement Notes
Quality
Measurement
Cheap = and easy
Basement screening Rn
Easy and affordable but not commonly done
Annual average Rn or RETRO Rn in living spaces
Difficult and expensive with establ= ished technology.
New technology unproven.
Annual average estimated
dose-rate in living spaces
Very difficult and very expensive with established technology.
New technology unproven.
Decades-long estimated airborne dose
May be impossible to measure
Radiation damage to
sensitive cells
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Contemporary risk-rate surrogates=
•If cell damage can’t be measured direct= ly, what is the best sur= rogate measure for radon-related lung cancer risk?
–Risk related issues not explici= tly included in this presentation
•Individuals’ differences in behavior, anatomy, and = susceptibility
•Contemporary vs. historical vs. future dose rates
•Thoron
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Contemporary risk-rate surrogates
•Dose rate: the gold standard (mSv/yr)
•Rad= on gas concentrations (Bq m-3)
–Com= monly measured in homes
•Rad= on progeny concentrations (WL)
–<= span style=3D'mso-hansi-font-family:Arial;font-weight:normal;color:#DDDDDD'>Not usually measured in homes; more frequently mea= sured in mines and used in miner risk analysis
•Rad= on progeny activity size distribution (Bqi m-3 )
–Rare (especially in US)

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Dose Conversion Factor
•Concept
–Improve dose rate estimate using an dose deli= very efficiency factor to interpret the radon or r= adon progeny concentration
•Basis
–Small radon progeny (nanoparticles) are much = more effective at delivering dose to sensitive lung tissues than either = radon or progeny attached to aerosols
–Different atmospheres (home, work, and outdoo= rs) have different mixtures of small and large progeny
–<= span style=3D'font-weight:normal;mso-special-format:lastCR;display:none'> <= /span>
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Dose Conversion Method
Measurement + Dose Conversion Factor
•Rad= on gas concentrations
–DR: Equilibrium ratio (F) and free fraction (f) with dose model =3D>mSv/yr
•Rad= on progeny concentrations
–Dp: f= ree fraction (f) with dose model =3D>mSv/yr
•Rad= on progeny activity size distribution
–Dose model =3D>mSv/yr

Visual= model to help organize the surrogate and measurement choice discussion
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DR<= /span> =3D = Dose conversion
        for radon
DP<= /span> =3D = Dose conversion
        for progeny
f =3D= cluster fraction
F =3D equilibrium fraction
Dose
1
1
1
2
2
2
3
3
3
4
4
Tier 4
Radon Concentration
Radon Progeny Concentration
Dose Pyramid
Radon Progeny Activity Size Distribution
DM
A Bird’s Eye View
Sampling Variation
DR
DP
f
F,f
F
A visu= al representation of the relationships to organize the discussion

START = with orientation to view, spatial size reflects uncertainty,
gold s= tandard measurement truncated

Faces = show different measurement approaches

Tiers = show completeness of sampling of appropriate spaces or exposure times, instrumental error
GO to = Rn face talk about walking up tiers to get to DCF Rn
Last t= ier shows translation from measured quantity to best surrogate

DR or = DP could come from epidemiology or dosimetric models
DM from microdosimetry or interpreted epidemiology?
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file:///C:/23809993/WHO_05_DJS_files/slide0049.htm Content-Transfer-Encoding: quoted-printable Content-Type: text/html; charset="us-ascii" WHO_05
D= ose Conversion Factor Variation
•Things that gr= eatly influence DCF
–Aerosols: smo= king, cooking, heating, air pollution
–Air movement: surface deposition
–Air exchange = and ventilation
•Typical DCF variations
–Within homes i= n the upper Midwest: Factor of 2 (MC model results)
–Within homes = in the US: ?
–Between regio= ns and countries:?
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Dose DCF for Radon
Model predictions for a typical Upper Midwest bedroom
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Radon Dose Conversion Factors
Dose rate p= er unit radon concentration
measured in a simulated bedroom<= /span>
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DR<= /span> =3D = Dose conversion
        for radon
DP<= /span> =3D = Dose conversion
        for progeny
f =3D= cluster fraction
F =3D equilibrium fraction
Dose
1
1
1
2
2
2
3
3
3
4
4
Tier 4
Radon Concentration
Radon Progeny Concentration
Dose Pyramid
Radon Progeny Activity Size Distribution
DM
A Bird’s Eye View
Sampling Variation
DR
DP
f
F,f
F
Back t= o talk about Rn to RnP conversion and then the DCF P

Illust= ration of variation to follow
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Examples of Radon Progeny (WL) Equili= brium Fraction (F) variations
Within and Between
Local and regional
Tokyo, Guam, Colorado
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Equilibrium Fractions (F)
Tokyo
Equilibrium Factor
0.50
Typical Assumption
0.89
Max
0.24
Min
0.54
Mean
0.54
Median
Courtesy of Doug Kladder, Progeny Group, Ltd.=
Within= variation 0.3 so factor of 1.6
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Equilibrium Fractions (F) Guam
Equilibrium Factor
0.50
Typical Assumption
0.24
Max
0.01
Min
0.08
Mean
0.07
Median
Courtesy of Doug Kladder, Progeny Group, Ltd.
Within= variation factor of 2
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