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S456

ESTRO 36 2017

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(iMM) and the ipsilateral medial pterygoid muscle (iMPM).

It is unclear whether these muscles should be regarded as

a joined Organ at Risk or separately. The aim of our study

was to calculate and compare separate dose-effect

relationships between trismus and 1) the dose to the iMM

and 2) iMPM dose, taking into account the baseline MMO.

Material and Methods

For 83 patients, participating in an exercise program to

preserve oral function in the period 2008 - 2014, pre- and

post-RT (6 weeks) MMO measurements were available.

Treated tumors were mainly located in the oropharynx

(40%) and hypopharynx (31%). All patients received

concomitant radiotherapy (35x2Gy) via IMRT or VMAT

technique with cisplatin 100mg/m

2

at day 1,22 and 43.

Pathological MMO (trismus) was set at ≤35mm as a

functional cut-off. Exclusion criteria were trismus at

baseline and gross tumor infiltration of the iMM or iMPM

on planning CT. The muscles were retrospectively

delineated. A logistic regression with bootstrapping

resampling technique (n=2000) was applied to calculate

model parameters. Dose-volume parameters (mean-,

absolute- and relative dose) were calculated in 5 Gy steps.

Results

MMO showed a large range (

Fig A

) with 14 trismus cases

(17%) post-RT. Baseline MMO was a significant predictor

for trismus (p=0.005) with an optimal cutoff at 45mm.

Women more often had a baseline MMO ≤ 45 (65%)

compared to men (37%, p=0.02) and therefore had a higher

trismus risk (30% vs 12%, p=0.04). Mean doses of the iMPM

and iMM correlated significantly (

Fig B,

Pearson

coefficient 0.83, p<0.001) with a mean iMPM dose of

53.3Gy versus 30.3Gy for iMM (p<0.001). In general, dose

parameters of the iMPM showed superior fits (lowest -2 Log

Likelihoods, lowest p values, better goodness-of-fit

statistics) compared to iMM; differences were not

statistically significant. The best fit for the iMPM was with

mean dose (odds ratio 1.165, p<0.001); for iMM mean dose

was most predictive as well (odds ratio 1.070, p=0.002).

Fig C&D

shows the dose-response for iMPM and iMM for the

≤45mm and >45mm subgroups. Best fit for dose volume

parameters was for the percentage receiving ≥65Gy

(iMPM, p=0.001) and the percentage receiving ≥40Gy (iMM,

p=0.003).

Conclusion

We observed that both the iMPM and the iMM dose are

predictive for trismus with a better dose-response fit for

the iMPM. We conclude that the strong correlation

between iMPM and iMM is caused by close proximity of the

two muscles. However, the different shapes of the dose-

response curves of both muscles suggest that they should

be regarded as separate OARs and at least the iMPM should

be delineated to estimate trismus risks. Furthermore,

baseline MMO is highly predictive and is important to take

into account in trismus models.

PO-0850 Predicting late fecal incontinence risk after

RT for prostate cancer:external independent validation

A. Cicchetti

1

, B. Avuzzi

2

, T. Rancati

1

, F. Palorini

1

, C.

Stucchi

3

, G. Fellin

4

, P. Gabriele

5

, V. Vavassori

6

, C. Degli

Esposti

7

, C. Cozzarini

8

, C. Fiorino

9

, R. Valdagni

10

1

Fondazione IRCCS Istituto Nazionale dei Tumori,

Prostate cancer program, Milan, Italy

2

Fondazione IRCCS Istituto Nazionale dei Tumori,

Radiation Oncology 1, Milan, Italy

3

Fondazione IRCCS Istituto Nazionale dei Tumori, Medical

Physics, Milan, Italy

4

Ospedale Santa Chiara, Radiotherapy, Trento, Italy

5

Istituto di Candiolo- Fondazione del Piemonte per

l'Oncologia IRCCS, Radiotherapy, Torino, Italy

6

Cliniche Humanitas-Gavazzeni, Radiotherapy, Bergamo,

Italy

7

Ospedale Bellaria, Radiotherapy, Bologna, Italy

8

San Raffaele Scientific Institute, Radiotherapy, Milan,

Italy

9

San Raffaele Scientific Institute, Medical Physics, Milan,

Italy

10

Università degli Studi di Milano, Oncology and Hemato-

oncology, Milan, Italy

Purpose or Objective

To validating a predictive model for late fecal

incontinence (FI) on a recent population of prostate

cancer patients (pts) treated with radical radiotherapy.

NTCP model was derived from literature.

Material and Methods

Population included 267 pts treated with Intensity

Modulate Radiation Therapy (IMRT) in 2010-2014.

Prescribed dose was between 68 and 80 Gy with

conventional and hypo-fractionated (HF, from 2.2 to 2.8

Gy) treatment. Rectal toxicity was scored using the

LENT/SOMA questionnaire. Follow-up (FU) was considered

up to 2 years. The study endpoint was late FI. We chose to

validate a model for prediction of chronic fecal

incontinence, as evaluated through multiple measures

during follow-up. Mean FI was defined as the average

score during the FU period after RT. Mean incontinence >1

was the considered endpoint. Pts with at least three out

of four FU points in the first 2 years were included (the 2-

year point was mandatory). Literature based multivariate

model included: mean rectal dose (Dmean), previous

diseases of colon and previous abdominal surgery (SURG).

Dose distributions were corrected EQD in 2 Gy fractions

(alpha/beta=5Gy).

Results

256 pts were available. Mean grade>1 FI was scored in 28

patients (10.9%). Univariate logistic analysis confirmed

the risk factors reported in literature, with similar Odds

Ratios (OR) for Dmean (1.04±0.03 vs 1.05±0.04) and SURG

(1.90±1.70 vs 1.50±0.50). As consequence, NTCP models

including Dmean and Dmean+SURG were evaluated

through calibration plot. The models showed a clear trend

(increasing observed toxicity rates with predicted risk),

but the observed toxicity rates were underestimated. We

guessed this scenario could be due to a hidden effect of

HF (OR=2.20, 8.6% vs 17.6%), beyond standard correction

using LQ model for late effects. The first approach was to

directly evaluate the impact of HF, by including it as a

variable into model (keeping coefficients for Dmean and

SURG fixed at previously published values). It clearly

improved calibrations. A further step was to include the

time recovery effect into EQD2 correction