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Re: Alpha radiation as tests of LNT
Bernard L. Cohen
Physics Dept.
University of Pittsburgh
Pittsburgh, PA 15260
Tel: (412)624-9245
Fax: (412)624-9163
e-mail: blc+@pitt.edu
On Thu, 1 Aug 1996, Dick King wrote:
> >>
> >> Date: Wed, 31 Jul 1996 13:55:12 -0400 (EDT)
> >> From: Bernard L Cohen <blc+@pitt.edu>
> >> Subject: Re: Alpha radiation as tests of LNT
> >>
> >> The risk from radon is determined from data on miners who
> >> contracted lung cancer from high exposures in mines. LNT simply says that
> >> the risk of lower exposures is linearly related to the dose.Nothing else
> >> is involved.Presumably, if a single alpha particle can kill a cell, the
> >> number of cells killed is also linearly related to dose.
>
> This doesn't follow at all.
>
> It may be that a single alpha particle can kill a cell with a very low
> probability because there is one tiny target that can be killed with a single
> hit, but that there is a much bigger nonlinear target, such as the DNA, that
> needs to take more than one hit before the repair can take place.
> With low doses the main kill mechanism is the single hit mechanism, but damage
> is very light. High doses are nonlinear.
--- I was assuming that the principal mechanism for cell killing by alpha
particles is by a single alpha particle (which can easily provide 2 or
more "hits"in a single cell nucleus). This is surely true up to
very high doses; that's why it is often assumed that low-LET may be
linear-quadratic, but high-LET must be simply linear for cancer
initiation which is presumed to require two hits.
>
> Note carefully that even if the number of cells killed is linear in the dose
> that doesn't mean that health effects are proportional to dose. If you kill
> 50kg of cells in one person the person dies. If you kill 50mg of cells taken
> at random in each of a million people probably almost nobody would notice.
> Each person would lose one or two pixels of vision, perhaps, and a pixel of
> skin sensation somewhere, etc. but cells die all the time.
----- I meant that if the underlying cancer causation risk is assumed to
be linear, cell killing will leave the total cancer causation risk linear.
>
> -dk
>