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. 2011 May 18;3(2):2421–2443. doi: 10.3390/cancers3022421

Table 1.

Overview of the examined dose-response models together with a summary of their inherent parameters.

Statistics Model Dose-response, P(D) Dose-volume response, P(D,V) Inherent model parameters D50 / Gy γ50
Binomial Critial volume (1−eD/D0)N0
t=M+1N(Nt)pt(1P)Nt§
D0, N0, M, N D0 ln(1−(M/N)1/N0) lnN0(11N0)N01 Implicit
Relative seriality
eN0e(D/D0)
[1(1P(D)s)VVref]1/s
D0, N0, s D0(ln N0−ln ln 2)
ln22ln(N0ln2)
Poisson Inverse tumor
eN0e(D/D0)
eN0e(D/D0)+kln(V/Vref)
D0, N0, k D0(ln N0−ln ln 2)
ln22ln(N0ln2)
Critical element
eN0e(D/D0)
1(1P(D))VVref
D0, N0 D0(ln N0−ln ln 2)
ln22ln(N0ln2)
Probit Lyman
γ50D500De1π(γxD50D50)2dx
12πtet22dt
D50, m, n D50
1mπ
Logit Parallel architecture
11+(D50FSUD)k
12πσ20fevv502σ2dv
D50, k, v50, σ
D50FSU(1v501)1/k
k/4
Weibull Weibull distribution
1e(D/A1)A2
1exp[(D(VVref)A1b)A2]
A1, b, A2
A1(ln2)1/A2
A2ln22
Binomial Critial volume (1−e−D/D0)N0
t=M+1N(Nt)Pt(1P)Nt§
D0, N0, M, N D0 ln(1−(M/N)1/N0) lnN0(11N0)N01 Implicit
Relative seriality
eN0e(D/D0)
[1(1P(D)s)VVref]1/s
D0, N0, s D0(ln N0−ln ln 2)
ln22ln(N0ln2)
Poisson Inverse tumor
eN0e(D/D0)
eN0e(D/D0)+K ln(V/Vref)
D0, N0, k D0(ln N0−ln ln 2)
ln22ln(N0ln2)
Critical element
eN0e(D/D0)
1(1P(D))VVref
D0, N0 D0(ln N0−ln ln 2)
ln22ln(N0ln2)
Probit Lyman
γ50D500De1π(γxD50D50)2dx
12πtet22dt
D50, m, n D50
1mπ
Logit Parallel architecture
11+(D50FSUD)k
12πσ20fevv502σ2dv
D50, k, v50, σ
D50FSU(1v501)1/k
k/4
Weibull Weibull distribution
1e(D/A1)A2
1exp[(D(VVref)bA1)A2]
A1, b, A2
A1(ln2)1/A2
A2ln22

§P=P(D)(VVref); ‖ t is given by equation (19)