M. Van Herk et al., The probability of correct target dosage: Dose-population histograms for deriving treatment margins in radiotherapy, INT J RAD O, 47(4), 2000, pp. 1121-1135
Citations number
35
Categorie Soggetti
Radiology ,Nuclear Medicine & Imaging","Onconogenesis & Cancer Research
Journal title
INTERNATIONAL JOURNAL OF RADIATION ONCOLOGY BIOLOGY PHYSICS
Purpose: To provide an analytical description of the effect of random and s
ystematic geometrical deviations on the target dose in radiotherapy and to
derive margin rules.
Methods and Materials: The cumulative dose distribution delivered to the cl
inical target volume (CTV) is expressed analytically. Geometrical deviation
s are separated into treatment execution (random) and treatment preparation
(systematic) variations. The analysis relates each possible preparation (s
ystematic) error to the dose distribution over the CTV and allows computati
on of the probability distribution of, for instance, the minimum dose deliv
ered to the CTV,
Results: The probability distributions of the cumulative dose over a popula
tion of patients are called dose-population histograms in short. Large exec
ution (random) variations lead to CTV underdosage for a large number of pat
ients, while the same level of preparation (systematic) errors leads to a m
uch larger underdosage for some of the patients. A single point on the hist
ogram gives a simple "margin recipe." For example, to ensure a minimum dose
to the CTV of 95% for 90% of the patients, a margin between CTV and planni
ng target volume (PTV) is required of 2.5 times the total standard deviatio
n (SD) of preparation (systematic) errors (Sigma) plus 1.64 times the total
SD of execution (random) errors (sigma') combined with the penumbra width,
minus 1.64 times the SD describing the penumbra width (sigma(p)). For a si
gma(p) of 3.2 mm, this recipe can be simplified to 2.5 Sigma + 0.7 sigma',
Because this margin excludes rotational errors and shape deviations, it mus
t be considered as a lower limit for safe radiotherapy.
Conclusion: Dose-population histograms provide insight into the effects of
geometrical deviations on a population of patients. Using a dose-probabilit
y based approach, simple algorithms for choosing margins were derived. (C)
2000 Elsevier Science Inc.