DocumentCode :
1741452
Title :
The Lyman and a current parallel model: are they equivalent in predicting radiation induced lung toxicity
Author :
Yorke, Ellen ; Jackson, Andrew ; Rosenzweig, Kenneth ; Merrick, Scott ; Ling, Clifton
Author_Institution :
Dept. of Med. Phys., Memorial Sloan-Kettering Cancer Center, New York, NY, USA
Volume :
1
fYear :
2000
fDate :
2000
Firstpage :
694
Abstract :
Estimation of the probability of radiation pneumonitis (NTCP) is useful in evaluating 3DCRT of lung cancer and in developing criteria for dose escalation. The Lyman equation is often used and a biology based four-parameter parallel architecture model has recently been proposed. In both models, calculated NTCP increases monotonically with a two-parameter auxiliary function-the effective dose (deff) in the Lyman equation and the fractional damage (fdam) in the parallel model. Scatter graphs generated from clinical treatment plans show a roughly linear relationship between fdam and deff . It has been suggested that the two models are equivalent for practical use; i.e. merit descriptors derived from lung DVHs using either model have the same predictive ability for toxicity probability. However, based on calculations performed for partial organ irradiation, the authors show that the predictions of the two models may differ. Specifically, as the prescription dose increases, the slope of fdam VS deff decreases. To validate this hypothesis with clinical data, the authors calculated deff and fdam from the DVHs of 89 lung cancer patients treated with 3DCRT to prescription doses ranging from 45 Gy to 81 Gy. Multivariate analysis confirms that fdam is significantly correlated with both deff and prescription dose. Given two patients with the same deff, the one treated to higher prescription dose tends to have smaller fdam. Consequently, plans may be acceptable by one model criterion but not the other. Which model best predicts NTCP requires future follow-up data and correlation with clinical outcome
Keywords :
biological effects of ionising radiation; cancer; dosimetry; lung; physiological models; radiation therapy; 45 to 81 gray; Lyman model; clinical data; clinical outcome; clinical treatment plans; current parallel model; model criterion; partial organ irradiation; prescription dose; radiation induced lung toxicity prediction; radiotherapy; scatter graphs; Cancer; Equations; Fractionation; Histograms; Logistics; Lungs; Medical treatment; Physics; Predictive models; Probability;
fLanguage :
English
Publisher :
ieee
Conference_Titel :
Engineering in Medicine and Biology Society, 2000. Proceedings of the 22nd Annual International Conference of the IEEE
Conference_Location :
Chicago, IL
ISSN :
1094-687X
Print_ISBN :
0-7803-6465-1
Type :
conf
DOI :
10.1109/IEMBS.2000.900841
Filename :
900841
Link To Document :
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