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S168

ESTRO 36 2017

_______________________________________________________________________________________________

This retrospective cohort study includes consecutive OC

patients staged with PET/CT between October 2010 and

December 2014. PET-defined tumour variables and

texture metrics were obtained using ATLAAS, a machine

learning algorithm for optimised automatic segmentation.

A Cox regression model including age, radiological stage,

treatment and 12 novel texture variables was developed

and a prognostic score stratifying patients into quartiles

was calculated. Primary outcome was OS and a p-value

<0.1 was considered statistically significant.

Results

Three hundred and forty-three consecutive patients

[median age=67 (range=24-83), adenocarcinoma=258]

were included. Median survival was 17 months (95% CI

14.685–19.315). Multivariate analysis demonstrated 7

variables that were significantly and independently

associated with OS; age [HR=1.024 (95% CI 1.010-1.038),

p<0.001], radiological stage [HR=1.492 (1.221-1.823),

p<0.001], treatment [HR=2.855 (2.038–3.998), p<0.001],

standard deviation [HR=0.898 (0.815–0.989), p=0.029],

log(coarseness) [HR=1.774 (0.918–3.43), p=0.088],

dissimilarity [HR=1.136 (1.007–1.281), p=0.038] and zone

percentage [HR=0.938 (0.897–0.980), p=0.005].

A

prognostic score derived from the model equation showed

significant differences in OS between quartiles (X

2

=90.13,

df=3, p<0.001).

Conclusion

This study demonstrates the additional benefit of PET

texture analysis in OC staging, over and above the current

TNM system. Our prognostic model requires further

validation, but highlights the potential of texture analysis

to predict survival in OC.

PV-0324 FDG-PET based pelvic bone marrow dose

predicts for blood cell nadirs in CT-RT for anal cancer

P. Franco

1

, F. Arcadipane

1

, R. Ragona

1

, A. Lesca

2

, E.

Gallio

3

, M. Mistrangelo

4

, P. Cassoni

5

, M. Baccega

2

, P.

Racca

6

, R. Faletti

7

, N. Rondi

8

, M. Morino

4

, U. Ricardi

1

1

University of Turin A.O.U. Citta' della Salute e della

Scienza, Department of Oncology- Radiation Oncology,

Torino, Italy

2

A.O.U. Citta' della Salute e della Scienza- Turin,

Department of Surgical Sciences - Nuclear Medicine,

Torino, Italy

3

A.O.U. Citta' della Salute e della Scienza- Turin,

Department of Medical Imaging - Medical Physics,

Torino, Italy

4

University of Turin A.O.U. Citta' della Salute e della

Scienza, Department of Surgical Sciences, Torino, Italy

5

University of Turin A.O.U. Citta' della Salute e della

Scienza, Department of Medical Sciences, Torino, Italy

6

A.O.U. Citta' della Salute e della Scienza- Turin,

Department of Oncology- Medical Oncology, Torino, Italy

7

University of Turin A.O.U. Citta' della Salute e della

Scienza, Department of Medical Imaging, Torino, Italy

8

A.O.U. Citta' della Salute e della Scienza- Turin,

Department of Oncology- Radiation Oncology, Torino,

Italy

Purpose or Objective

To test the proof of principle that irradiated volume of

pelvic active bone marrow (

ACT

BM), as detected by

18

FDG-

PET, may be a predictor of decreased blood cell nadirs in

anal cancer patients undergoing concurrent chemo-

radiation and to identify subregions within the pelvis

potentially more involved in the occurrence of acute

hematologic toxicity.

Material and Methods

Forty four patients submitted to IMRT and concurrent

chemotherapy were analyzed. Several bony structures

were defined: pelvic and lumbar-sacral (LSBM), lower

pelvis (LPBM) and iliac (IBM) bone marrow.

ACT

BM was

characterized employing

18

FDG-PET and defined as all

subregions within pelvic bone marrow having Standard

Uptake Values (SUVs) higher than SUV

mean

. All other regions

were defined as inactive BM (

INACT

BM) (Figure 1). On dose-

volume histograms, dosimetric parameters were taken.

Endpoints included white blood-cell-count (WBC),

absolute-neutrophil-count (ANC), hemoglobin (Hb) and

platelet (Plt) nadirs. Acute toxicity was scored according

to RTOG scoring scale. Generalized linear and logistic

regression models were used to find correlations between

dosimetric variables and blood cell toxicity.

Results

act

BM mean dose had a statistically significant correlation

with WBC (β=-1.338; 95%CI: -2.455/-0.221; p=0.020), ANC

(β=-1.651; 95%CI: -3.284/-0.183; p=0.048) and Plt (β=-

0.031; 95%CI: -0.057/-0.004; p=0.024) nadirs. On the

contrary, no correlation was found between

inact

BM mean

dose and any blood cell nadir (Table 1).

act

BM V

10

had a

significant correlation with WBC (β=-0.062; 95%CI: -

0.104/-0.021; p=0.004) and ANC (β=-0.038; 95%CI: -

0.067/-0.007; p=0.015) nadirs.

act

BM V

20

was significantly

correlated to WBC (β=-0.044; 95%CI: -0.080/-0.008;

p=0.017), ANC (β=-0.027; 95%CI: -0.052/-0.001; p=0.039)

and Plt (β=-1.570; 95%CI: -3.140/-0.002; p=0.050)

nadirs.

act

BM V

30

had a significant correlation with WBC

(β=-0.033; 95%CI: -0.064/-0.002; p=0.036) and Plt (β=-

1.720; 95%CI: -2.990/-0.450; p=0.010) nadirs.

act

BM V

40

was

significantly correlated to WBC (β=-1.490; 95%CI: -2.900/-

0.072; p=0.040) nadir. With respect to subregions within

the pelvis, WBC nadir was significantly correlated to

act

LSBM mean dose (β=-1.852; 95%CI: -3.205/-0.500;

p=0.009), V

10

(β=-2.153; 95%CI: -4.263/-0.721; p=0.002),

V

20

(β=-2.081; 95%CI: -4.880/-0.112; p=0.003), V

30

(β=-

1.971; 95%CI: -4.748/-0.090; p=0.023) and to

act

IBM V

10

(β=-0.073; 95%CI: -0.106/-0.023; p=0.016). ANC nadir

found to be significantly associated to

act

LSBM V

10

(β=-

1.878; 95%CI: -4.799/-0.643; p=0.025), V

20

(β=-1.765;

95%CI: -4.050/-0.613; p=0.030). No significant correlation

were found between dosimetric parameters and > G3

hematologic toxicity, even if borderline significance was

found for

act

LSBM mean dose and WBC nadir.