The Lyman and a current parallel model: Are they equivalent in predicting radiation induced lung toxicity Conference Paper
| Authors: | Yorke, E.; Jackson, A.; Rosenzweig, K.; Merrick, S.; Ling, C. |
| Editor: | Enderle, J. D. |
| Title: | The Lyman and a current parallel model: Are they equivalent in predicting radiation induced lung toxicity |
| Conference Title: | 22nd Annual International Conference of the IEEE Engineering in Medicine and Biology Society |
| 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 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, we 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, we 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: | lung toxicity; radiotherapy; lung cancer; oncology; dosimetry; probability; computer simulation; toxicity; diseases; radiation pneumonitis; respiratory system; dose escalation; numerical methods; lyman equation |
| Journal Title | IEEE Engineering in Medicine and Biology Society. Annual International Conference. Proceedings |
| Volume: | 1 |
| Conference Dates: | 2000 Jul 23-28 |
| Conference Location: | Chicago, IL |
| ISBN: | 1094-687X |
| Publisher: | IEEE |
| Location: | Chicago, IL |
| Date Published: | 2000-01-01 |
| Start Page: | 694 |
| End Page: | 697 |
| Language: | English |
| PROVIDER: | scopus |
| DOI: | 10.1109/IEMBS.2000.900841 |
| DOI/URL: | |
| Notes: | Annu Int Conf IEEE Eng Med Biol Proc -- Conference code: 58178 -- Export Date: 18 November 2015 -- CODEN: CEMBA -- 23 July 2000 through 28 July 2000 -- Source: Scopus |
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2Merrick -
165
Rosenzweig -
253Jackson -
450Yorke -
331Ling
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