Description Usage Arguments Details References Examples
This function can be used to find the best Vdose or Dvolume values that describe a given clinically observed outcome
1 2 | DR.fit.DoseVolume(dvh, outcome, model, type = c("Vdose", "Dvolume"),
CI = FALSE, CI.width = 0.95, epsilon = 1e-06)
|
dvh |
A |
outcome |
A vector of binary values (if not it will coerced to binary values) showing the observed outcome |
model |
The model that will be used to fit the dose-volume-response data (see examples). Models with available
the |
type |
A character value representing the two type of dose-volume fitting as |
CI |
Logcal Value for calculating the confidence interval of the dose-volume fitting parameter and for the αβ if modLQ is optioned |
CI.width |
Width of confidence interval |
epsilon |
Error limit for calculating the Log Likelihood function in determining the confidence interval of dose-volume parameter |
The Vdose is the value of the volume of a structure in a dose volume histogram that receives
a given level of dose. It is a widely used indicator and predictor of possible outcome when DVHs
have to be clinically evaluated. There are many papers that exploit the correct use of Vdose for
clinical evaluation of treatment plans. The DR.fit.DoseVolume
function used inside the moddicom package
allows to fit clinical data with dvhmatrix
objects in order to detect the dose-volume relationship achievable
by dosimetric data. The dose-volume-outcome fitting is performed by iterative search, so, as far as the author know,
this is the first example of dose-volume-outcome fitting function that allows to find out the best fitting value
of Vdose or Dvolume, rather than using an empyrical search from pre-fetermined values as usually reported in literature.
When setting the model
parameter the users have to chose between a glm
model and a coxph
model
by writing the formula of the model without the dvhmatrix
object
Special Considerations Regarding Absorbed-Dose and Dose-Volume Prescribing and Reporting in IMRT. J ICRU. 2010 Apr;10(1):27-40. doi: 10.1093/jicru/ndq008. PubMed PMID: 24173325.
Graham MV, Purdy JA, Emami B, Harms W, Bosch W, Lockett MA, Perez CA. Clinical dose-volume histogram analysis for pneumonitis after 3D treatment for non-small cell lung cancer (NSCLC). Int J Radiat Oncol Biol Phys. 1999 Sep 1;45(2):323-9. PubMed PMID: 10487552.
1 | ## NOT RUN DR.fit.DoseVolume(dvh = D, outcome = Dout, model = glm(formula = Dout ~ 1 , family = binomial(link = 'logit')), type = 'Vdose')
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