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S486

ESTRO 36

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Conclusion

Tumor voxel metabolic ratio determined us ing multiple

FDG PET images can be used to assess tumor voxel dose

response, SF2, which shows an excellent predictive value

for tumor local radioresistance and failure. Our results

demonstrate that a heterogeneous dose distribution in

tumor should be prescribed to optimize cancer

radiotherapy. Tumor voxel TMR determined at the early

treatment will be good bio-parametric matrix to

determine a new tumor dose prescription function at the

voxel level for the treatment of adaptive dose-painting-

by-number.

PO-0886 Early changes of FDG-PET markers predict the

outcome after chemo-radiotherapy for pancreatic

cancer

S. Broggi

1

, P. Passoni

2

, E.G. Vanoli

3

, C. Fiorino

1

, G.M.

Cattaneo

1

, C. Gumina

2

, P. Mapelli

3

, E. Incerti

3

, L.

Gianolli

3

, N. Slim

2

, M. Picchio

3

, R. Calandrino

1

, N.G. Di

Muzio

2

1

San Raffaele Scientific Institute, Medical Physics, Milan,

Italy

2

San Raffaele Scientific Institute, Radiotherapy, Milan,

Italy

3

San Raffaele Scientific Institute, Nuclear Medecine,

Milan, Italy

Purpose or Objective

To investigate the predictive role of early changes of

18

F-

fluorodeoxyglucose (FDG) positron emission tomography

(FDG-PET) based biomarkers in locally advanced

pancreatic carcinoma (LAPC) patients (pts) treated with

induction and concomitant chemo-radiotherapy (CRT) on

overall survival (OS), local relapse free survival (LRFS),

distant relapse free survival (DRFS) and progression free

survival (PFS).

Material and Methods

Data of 39 pts included in an Institutional trial were

considered. Most pts (92%) received neoadjuvant

chemotherapy, followed by CRT. Pts received 44.25Gy in

15 fractions to the tumor: a simultaneous integrated boost

(SIB) to the sub-volume infiltrating the great abdominal

vessels up to 48-58Gy was delivered in 17/39 pts. FDG-

PET-CT was performed in all pts before (PET_pre) and

after CRT (PET_post), at a median time of 3-months after

the end of CRT. The predictive value of the % difference

of FDG-PET parameters between PET_post and PET_pre

was investigated, including maximum standard uptake

value (∆SUVmax), metabolic tumor volume (∆MTV) and

total lesion glycolysis (∆TLG), these last twos estimated

considering different uptake thresholds (40-50-60%) of

SUVmax. The % difference between gastrointestinal

cancer-associated antigen (GICA) levels measured at

roughly the same timing of PET scan (pre and post) was

also considered. For each parameter, median ∆ values

were used to categorize the pts in high vs low risk groups:

logrank tests and univariable Cox regression analyses were

performed to assess the prognostic value of the considered

parameters on OS, LRFS, DRFS and PFS.

Results

The median follow-up was 11 months (range: 3.7-106); the

median age was 63 years (35-84). Median OS, LRFS, DRFS

and PFS after the start of CRT were 22, 10, 4.3, 5.3

months, respectively. No uptake was present at PET_pre

in 9 pts: a longer median time to progression for PET

negative pts (9.0 vs 3.7 months,

p

=0.06) was found

compared to pts with positive PET_pre. Focusing on the

30/39 pts with positive PET-pre, ∆MTV-60 was the most

significant predictor of LRFS (

p

=0.007; RR=0.16) and PFS

(

p

=0.04; RR=0.41). Median LRFS were 4.3 and 23 months

for pts with ∆MTV-60< 35% and pts with ∆MTV-60> 35%,

respectively

(

p

=0.002;

RR=3.8,

Figure1);

the

corresponding median PFS were 3.2 vs 6.7 months (

p

=

0.03; RR=2.2, Figure2). ∆TLG-50 and ∆TLG-60 showed

borderline significance in predicting OS (

p

= 0.05;

RR=0.33). No correlation was found between the %

variation of PET parameters and DRFS while the % change

of GICA levels was a significant predictor (

p

=0.03;

RR=0.28).

Conclusion

The early assessment of FDG-PET biomarkers response

predicts clinical outcome in LAPC pts, except DRFS. The

early variation of GICA values predicts DRFS suggesting

that the integration of the information concerning early

changes of PET biomarkers and GICA may be useful in

identifying patients at higher risk of early local and/or

distant relapse and to discriminate the pattern of relapse.