2 nd ANNUAL ARDENT WORKSHOP Introductory Lecture on Microdosimetry Paolo Colautti, INFN 2 nd Annual ARDENT Workshop, Milano, 14-18 October 2013.

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2 nd ANNUAL ARDENT WORKSHOP Introductory Lecture on Microdosimetry Paolo Colautti, INFN 2 nd Annual ARDENT Workshop, Milano, October 2013

P.Colautti 2 nd ARDENT workshop. Milano October 2013 Ionizing radiations: risks – biological effects – therapeutic effects We are well equipped with plots and tables to calculate the effects due to the exposition to known radiation fields. HOWEVER What doing when the radiation field is unknown? Or when we have not previous empirical data concerning the effects of that peculiar field? to perform some kind of measurement, the data of which can be used to assess the biological damage of that radiation field? IS IT POSSIBLE to reply to this old question both with a full theoretical body, which differently describe the radiation interaction and with the matter, and with special detectors that able to measure new physical quantities. MICRODOSIMETRY TRIES

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The energy paradigm Assumption: the effects are proportional to the absorbed energy Macroscopic world. It works. Microscopic world. It das not works. M E S O S C O P I C W O R L D

P.Colautti 2 nd ARDENT workshop. Milano October 2013 Initial radiation effects occur in the mesoscopic world: 1 nm – 1 µm The mesoscopic world is highly structured The DNA wire and nucleosomes Ionisation events occur stochastically around a carbon-ion track The absorbed- energy density (absorbed dose) loses its original meaning in the mesoscopic world, since neither the radiation and the target can be described with continuous functions.

P.Colautti 2 nd ARDENT workshop. Milano October 2013 MICRODOSIMETRY Microdosimetry is not a “small” dosimetry or a “microscopic” dosimetry Dosimetry is the theoretical and experimental investigation of the mean imparted-energy in a “point” of the irradiated volume.

P P.Colautti 2 nd ARDENT workshop. Milano October 2013 The transferred energy becomes a stochastic variable: the energy transfer points Ionizing particles transfer energy to the target through collisions with atoms and nuclei T a primary particle kinetic energy T p secondary particle kinetic energy Q expended energy in the (possible) nuclear reaction

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The energy transfer modalities are three Interactions with Q-value < 0 Interactions with Q-value = 0 Interactions with Q-value > 0

P.Colautti 2 nd ARDENT workshop. Milano October 2013 Q < 0 ∆  = Tr ≈ 0 T r the small residual energy of the recoil, if it exists

P.Colautti 2 nd ARDENT workshop. Milano October 2013 Q = 0 ∆  > 0 ∆  energy expended for exitations, variation in binding energy, heat, non-ionizing recoils, etc… All the interactions of interest for microdosimetry belong to this category

P.Colautti 2 nd ARDENT workshop. Milano October 2013 Q > 0 ∆  = Tr ≈ 0 T a = 0 T r is the residual energy of all non ionizing particles

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The transferred-energy time duration The particle velocity v is: Nucleus radius : Atoms radius R atom depends on Z, temperature, chemical bond and molecular bond The interaction time of a minimum ionising energy (10 eV) particle Interaction with the nucleus: ~ s for an electron ~ s for proton Interaction with a hydrogen atom: ~ s for an electron ~ s for proton Interaction with a fermio atom: ~ s for an electron ~ s for proton - -

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The energy-degradation time duration The physical-chemical stage: – s The absorbed energy gives rise to primary chemical species, which are highly unstable. At the end, only few free radicals survive The chemical stage: s To the end, free radicals like OH, H and e aq slow down, diffuse and reacts with the medium molecules. At the end of this stage there is the chemical equilibrium. The biological-physiological stage At the end of the chemical stage, the biological system reacts to the primary damages produced directly by the ionizing particle or indirectly by the free radicals. This stage can last a long time.

P.Colautti 2 nd ARDENT workshop. Milano October 2013 Thick targets: the spatial inchoate distribution When the target is thick, the ionising particle interacts in different points P j The spatial distributions of P j is called inchoate distribution The energy transferred  in the point P does not depend on the time neither on the target volume Are all the  j contemporary? A slow (10 eV) oxigen nucleus passes through 1 µm target in about s It is a good approximation to assume that all the P j transfer points are contemporary

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The imparted energy  in a volume V V P1P1 P2P2 P3P3

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The event “An event is the imparted energy to the volume V by an ionizing particle entering into the volume V or by a radioactive decay inside it.” The event size is the energy-imparted value  The event size is 0 when

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The event site and its size “The volume V is the event site” “The site mean chord is the site size” If V is a convex body, For a sphere For a cylinder of diameter D and height D N.B. The expression “site size” is also used to point out the “equivalent value” of D. See later on.

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The mean imparted energy The mean imparted energy is a deterministic quantity, while  is a stochastic quantity Since the main contribution to the imparted energy is due to reactions with Q = 0, can be approximated with the energy released by a charged particle in continuous slowing down approximation (CSDA).

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The equivalence of a human tissue site and a gas site is of great interest for experimental microdosimetry The site equivalence “Two different sites are said to be equivalent when the mean imparted energies to the sites are equal” Substituting: If the gas has the same atomic composition of the tissue, then (S/  ) T = (S/  ) G, then

P.Colautti 2 nd ARDENT workshop. Milano October 2013 Two equivalent sites have different mass The mass of a site of density  and mean chord is: Therefore, if the site shapes are equal: The masses of two equivalent sites of the same shape scale with the square of the mean chord ratio

P.Colautti 2 nd ARDENT workshop. Milano October 2013 Limitations of the equivalence definition It does not takes into account the matter phase It does not takes into account the particle track size. When the lateral extension of the primary track is larger than the site mean chord, we enter in the “nanometric domain”. The maximum  -ray energy However Therefore 99% of  -rays have T < 1 keV When the site equivalent size is < 100 nm we enter into the nanometric domain

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The nanometric domain The nanometric world is weird N.B.

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The lineal energy, y and the quality concept It is the quotient of the energy imparted to the volume, by a single particle or radioactive decay inside it, and the volume mean chord The physical dimension is J/m but, similarly to LET, y is used to be expressed in keV/µm, where the linear dimension is that one of the tissue-equivalent site size. Differently than LET, y is a stochastic variable, the value of which fluctuates. For a given site size and radiation field, there is only some probability F(y) that the lineal energy is equal or less than y. The probability density function of y is: f(y)=∂F(y)/∂y We can define D(y) as the fraction of dose delivered by an event equal or less than y. The dose probability density, called also weighted distribution, is: d(y)=∂D(y)/∂y The y mean-values define the “quality” of the radiation field for a given site size.

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The y mean-values The frequency-mean lineal energy The dose-mean lineal energy The dose probability density can be calculated, if f(y) is known The dose-mean lineal energy is then

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The specific energy, z Differently than y, z may be due to 1 or more events It is the quotient of the energy imparted to the volume, by one particle or a radioactive decay inside it, and the volume mass The physical dimension is J/Kg but, similarly to absorbed dose, z is used to be expressed in Gray, where the mass m is that one of the site. Differently than absorbed dose, z is a stochastic variable, the value of which fluctuates. For a given site size and radiation field, there is only some probability F 1 (z) that the specific energy, due to only 1 event, is equal or less than z. The associated probability density function of is: f 1 (z)=∂F 1 (z)/∂z We define D 1 (z) as the fraction of dose delivered by an event equal or less than z. The associated probability density, is: d 1 (z)=∂D 1 (z)/∂z Z distributions due to 1 energy deposition event only

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The z mean values for 1 single event The frequency-mean specific energy per event The dose-mean specific energy per event The dose- and frequency- probability densities are each other depending Therefore, the dose-mean specific energy per event

P.Colautti 2 nd ARDENT workshop. Milano October 2013 Relationship between y and z for single event distributions only y = Z. D 2 z = y/ D 2 y = z. D 2 z = y/ D 2 Equivalent-site diameter D [µm] Lineal energy y [keV/µm] Specific energy z [Gray]

P.Colautti 2 nd ARDENT workshop. Milano October 2013 z distribution due to 2 energy-deposition events is the convolution of 2 single-event distributions z distribution due to n energy-deposition events is the convolution of n single-event distributions z distribution due to 3 energy-deposition events is the convolution of 3 single-event distributions ………. The multi-event specific energy the microdosimetry-dosimetry bridge N.B. 1) Differently than single-event distributions, multi-event distribution includes the 0 events. 2) d n (z) is not defined z distribution due to 0 energy-deposition events is the Dirac  function

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The absorbed dose is the microdosimetric-distribution mean value The mean value of the multi-event specific energy distribution f(z) is: By definition the absorbed dose D is: For microscopic volumes and a large number of events, we can assume that the specific energy is almost uniformly distributed in the site. Therefore, we can write : The mean event number for a given absorbed dose D is:

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The Compound Poisson Process The multi-event imparted-energy  is the summation of n independent single-event contributions  i, which are Poisson distributed. Also  i is the summation of independent  i energy-transfer points, which are in turn Poisson distributed. The absorbed dose D is therefore the result of a Compound Poisson Process (convolution of different populations of objects, all of them Poisson distributed). Let the probability to get in the site exactly n single events, where is the mean event number at the dose D, then: That is:

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The specific energy distribution at the dose D It is the probability to get in the site just n events by the n-event z-distribution:

P.Colautti 2 nd ARDENT workshop. Milano October 2013 Critical sites They are the sites that have experienced at least 1 event ≠ 0 In order to calculate the mean specific energy in critical sites, it is necessary to remove the 0- event contribution from The mean event number in critical sites at a given D absorbed dose is:

P.Colautti 2 nd ARDENT workshop. Milano October 2013 Critical sites The mean event number in critical sites at a given D absorbed dose is: Low LETMedium LETHigh LET

P.Colautti 2 nd ARDENT workshop. Milano October 2013 When microscopic and macroscopic dose are equal? For a given radiation field and site size, it depends on the absorbed dose

P.Colautti 2 nd ARDENT workshop. Milano October 2013 The therapeutic 62 MeV-proton beam of Lacassagne (Nice) medical centre

P.Colautti 2 nd ARDENT workshop. Milano October 2013 Microscopic and macroscopic dose in therapeutic 62 MeV-proton beam

P.Colautti 2 nd ARDENT workshop. Milano October 2013 Suggested lectures H.H. Rossi, M. Zaider. Microdosimetry and Its Applications. Springer-Verlag Berlin Heidelberg 1996 Albrecht M. Kellerer. Fundamental of Microdosimetry. IN The Dosimetry of Ionizing Radiation. Eds. K.R.Kase, B.E.Bjärngard, F.H.Attix. Academic Press,Inc. 1985, ICRU Report 36. Microdosimetry. 1983