Normal tissue complication probability modeling for acute esophagitis in patients treated with conformal radiation therapy for non-small cell lung cancer.
OBJECTIVE
To evaluate the ability of a well-known normal tissue complication probability (NTCP) model to predict radiation esophagitis by determining updated model parameters and then comparing these results with the predictive value of other dosimetric parameters.


METHODS
Clinical and dosimetric data regarding esophagitis were analyzed in 101 inoperable/unresectable non-small-cell lung cancer patients treated by external beam irradiation. Grade 2 or higher esophagitis counted as events. Parameters (TD50, n, and m) of the Lyman normal tissue complication probability (NTCP) model were determined using maximum likelihood analysis, and compared to other dose/volume threshold values including: percentage of esophagus receiving > 40 Gy (V40) to > 75 Gy (V75), and maximum esophageal doses.


RESULTS
Sixteen patients developed grade 2-3 acute esophagitis (no G4 or 5). The maximum likelihood analysis produced new Lyman model parameters of: TD50 = 51 Gy, n = 0.44 and m = 0.32. The mean NTCP value is significantly lower (P < 0.001) in the group of patients without esophagitis (13.5%) than with esophagitis (27.2%). The rates of esophagitis are 2.5, 7, 9 and 13.4%, respectively, when the NTCP values are <10%, <15%, <20% and <25%. A significant association is found between esophagitis and dose/volume parameters V40 (P = 0.001) to V70 (P = 0.024).


CONCLUSIONS
New values of TD50, n and m offer a good description of the esophagitis distribution in our population. Compared to the use of this model with previously published parameters (associated with late toxicity) predictions of the model for acute esophagitis using the new parameters would indicate that, for a population of patients, the distribution of events as a function of uniform dose would occur with a lower mean uniform dose value (smaller TD50), over a wider range of uniform doses (larger m), while also exhibiting a bigger volume effect (larger n). These new parameter values are supported in essence by the correlations found for the dose/volume threshold parameters.
Chapet
Olivier
O
Department of Radiation Oncology, University of Michigan, Ann Arbor, USA.
Kong
Feng-Ming
FM
Lee
Julia S
JS
Hayman
James A
JA
Ten Haken
Randall K
RK
D000208:Acute Disease; D017677:Age Distribution; D000368:Aged; D000369:Aged, 80 and over; D000704:Analysis of Variance; D002289:Carcinoma, Non-Small-Cell Lung / Q000453:epidemiology* / Q000532:radiotherapy*; D017024:Chemotherapy, Adjuvant; D019583:Dose Fractionation, Radiation; D004307:Dose-Response Relationship, Radiation; D004941:Esophagitis / Q000453:epidemiology*; D005260:Female; D006801:Humans; D015994:Incidence; D016013:Likelihood Functions; D016015:Logistic Models; D008175:Lung Neoplasms / Q000453:epidemiology* / Q000532:radiotherapy*; D008297:Male; D008875:Middle Aged; D015233:Models, Statistical; D015999:Multivariate Analysis; D009367:Neoplasm Staging; D011237:Predictive Value of Tests; D011336:Probability; D011379:Prognosis; D011832:Radiation Injuries / Q000453:epidemiology / Q000473:pathology; D011879:Radiotherapy Dosage; D011880:Radiotherapy Planning, Computer-Assisted; D020266:Radiotherapy, Conformal / Q000009:adverse effects / Q000706:statistics & numerical data*; D018570:Risk Assessment; D012720:Severity of Illness Index; D017678:Sex Distribution; D016019:Survival Analysis