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S374

ESTRO 36 2017

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ITVs to ensure adequate coverage of remaining

treatments. The adapted mid-treatment PTVs (mtPTVs)

were then compared to the pretreatment PTVs (ptPTVs).

Results

Four patients undergoing adaptive EBRT for cervix cancer

were eligible. In total, 100 CBCT images were analysed.

The mean CTV volume decrease was 42% by the end of

treatment, with 44% of that change (21-63%) occurring

within the first week. CTV movement was patient specific,

with the largest variations noted anteriorly (1.1cm to

5.5cm) and superiorly (0.67cm-4.3cm). In patients with

greater than 1cm variation anteriorly and superiorly, most

variation (63%-100%) occurred within the first 2 weeks of

treatment.

Given that both volume and movement changes occurred

predominantly within the first 2 weeks, mtPTVs were

created based on a week 2 ITV. As movement was mainly

superiorly and anteriorly, an anisotropic 1cm ITV margin

with 0.5cm posteriorly formed the mtPTV. 93% of

treatments from week 2 to 5 were covered, with 3 patients

demonstrating up to a 28% reduction in volume compared

to the ptPTVs. If the mtPTV was created using a 1.5cm

anisotropic ITV margin (0.5cm posteriorly), treatment

coverage increased to 98%, however treated volume was

up to 28% larger than ptPTVs. mtPTV margins based on a

week 3 ITV, showed no significant coverage difference

from those based on week 2.

Reduced OAR dose was also noted, with treated bowel

volume using the mtPTV decreasing by 20.7% compared

the ptPTV.

Conclusion

Preliminary analyses of patients undergoing adaptive

external beam treatment for cervical cancer, shows a

dramatic reduction in volume and movement within the

first 2 weeks of treatment. mtPTVs based on week 2 ITVs

with an anisotropic 1cm margin (0.5cm posteriorly),

resulted in adequate treatment coverage in more than 90%

of remaining treatments. Treated bowel volume also

decreased by 20%. These results support mid-treatment

plan adaptation, although greater patient numbers are

required for this to be validated.

PO-0721 Prediction of local recurrence using

pretreatment 18FDG PET/CT radiomics features in

cervical cancer

F. Lucia

1

, M. Desseroit

2

, O. Miranda

1

, D. Visvikis

2

, J.

Malhaire

1

, P. Robin

3

, O. Pradier

1

, M. Hatt

2

, U. Schick

1

1

University Hospital- Brest- France, Radiation oncology,

Brest, France

2

LaTIM- INSERM- UMR 1101- University of Brest, LaTIM-

INSERM- UMR 1101- University of Brest, Brest, France

3

Nuclear Medicine department- University Hospital-

Brest- France, Nuclear Medicine department- University

Hospital- Brest- France, Brest, France

Purpose or Objective

Adequate prediction of tumor response to definitive

chemoradiotherapy (CRT) in cervical cancer (CC) patients

is important to offer a personalized treatment. The aim of

this study was to determine if radiomics features in

18

F-

fluorodeoxyglucose

(FDG)

positron

emission

tomography/computed tomography (PET/CT) could help

in predicting local recurrence in CC.

Material and Methods

Sixty-nine patients with International Federation of

Gynecology and Obstetrics (FIGO) 2014 stage I2B-

IVA cervical squamous cell carcinoma receiving synchronic

CRT from August 2010 to May 2015 were enrolled in this

study. Six (9%), nineteen (27%), thirty-five (51%) and nine

(13%) women presented with FIGO stage I, II, III and IV,

respectively. 18F-FDG PET/CT examination was performed

on each patient before CRT which consisted of external

beam radiotherapy (45 to 50.4 Gy in 1.8-2 Gy per fraction)

combined with weekly platinum salts, followed by a high-

dose-rate brachytherapy boost (24-26 Gy in 4 fractions).

Radiomics (intensity, shape and textural) features of the

primary tumor volumes delineated with the fuzzy locally

adaptive bayesian (FLAB) algorithm in the PET images

were extracted. For textural features three different

quantization approaches were considered. The predictive

value of clinical parameters and radiomics PET features

regarding local recurrence-free survival (LRFS) was

evaluated.

Results

Median follow-up was 1.8 years (0.26-5.6, range). Local

relapse occurred in eleven patients (15.9%). In univariate

analysis, FIGO stage (I-II vs III-IV)(p = 0.0005), T status (T1-

2 vs 3-4)(p < 0.0001), one shape feature (sphericity)(p =

0.001) and two textural features (busyness (p = 0.02), and

Grey Level Non Uniformity (GLNU)(p =0.01) were

significantly correlated with local recurrence. The

combination of two parameters, such as busyness and

sphericity (96.8 % vs 38.2%, HR, 23.51, p<0.0001) or GLNU

and sphericity (94.6% vs 23.8%, HR, 20.55, p<0.0001) led

to highly accurate models (sensitivity and specificity of

90.9%-77.3% and 81.8%-88.6% respectively).

Conclusion

In cervical cancer, radiomics features such as sphericity,

busyness and GLNU from FDG PET images are significant

independent predictor factors for local recurrence.

Further research in refining the predictive value of these

models is needed to justify dose escalation in these

patients, which is already ongoing on a prospective cohort

treated at our institution.

PO-0722 Symptomatic pelvic insufficiency fracture in

women after pelvic RT- is there a dosimetric correlate?

Z. Horne

1

, M. Dohopolsky

1

, S. He

1

, B. Gill

1

, S. Beriwal

1

1

University of Pittsburgh Cancer Institute, Radiation

Oncology, Pittsburgh, USA

Purpose or Objective