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S936

ESTRO 36 2017

_______________________________________________________________________________________________

The use of different coils at greater distance from the

organ of interest and the use of a flat carbon fibre

tabletop produced a reduction of the SNR. Even safe under

the protocol we used, we believe that the use of more

appropriated materials for MRI should be recommended.

Nevertheless, this setup could be a low-cost first step for

departments who want to start to integrate MRI images

into their RT workflow.

EP-1728 Inter-observer contouring similarity metrics,

correlation with treatment outcome for prostate cancer

D. Roach

1,2

, M. Jameson

1,2

, J. Dowling

3

, M. Ebert

4,5,6

, P.

Greer

7,8

, S. Watt

2

, L. Holloway

1,2,5,9

1

University of New South Wales, South Western Clinical

School, Sydney, Australia

2

Sydney South West Area Health Service, Ingham

Institute and Liverpool and Macarthur Cancer Therapy

Centres, Sydney, Australia

3

CSIRO, Australian e-Health Research Centre, Brisbane,

Australia

4

Sir Charles Gairdner Hospital, Radiation Oncology,

Perth, Australia

5

University of Wollongong, Centre for Medical Radiation

Physics, Wollongong, Australia

6

University of Western Australia, School of Physics,

Perth, Australia

7

Calvary Mater Hospital Newcastle, Radiation Oncology,

Newcastle, Australia

8

University of Newcastle, School of Mathematical and

Physical Sciences, Newcastle, Australia

9

University of Sydney, Institute of Medical Physics,

Sydney, Australia

Purpose or Objective

To determine the geometric and statistical metrics

quantifying inter-observer contouring variation displaying

the strongest correlation with simulated treatment

outcome for prostate cancer.

Material and Methods

Data was available for 39 patients with localised prostate

cancer, each having undergone CT and MRI scanning prior

to radiotherapy. Three observers independently

contoured CTV, bladder, and rectum on T2 MRI. A 7mm

margin was applied to each observer’s CTV to create

observer PTVs. An estimate of the true volume of each

structure was generated using the STAPLE

algorithm. Geometric and statistical metrics spanning the

literature for inter-observer contouring variation studies

were calculated for each observer’s contours with respect

to the STAPLE volume. VMAT treatment plans (78 Gy to

PTV) were simulated for each observer’s contoured

structures, as well as for the STAPLE volumes, for all

patients. Radiobiological metrics assessing treatment

outcome (TCP, EUD, NTCP, etc.) were calculated for

STAPLE CTV, PTV, bladder, and rectum for all treatment

plans. Correlations between contouring variation metrics

and radiobiological metrics were assessed using

Spearman’s rank correlation coefficient ρ

Results

In total 117 observer treatment plans were simulated,

resulting in a study with power to detect statistically

significant (p < 0.05) correlations of ρ ≥ 0.3. No

statistically significant correlations were found between

contouring variation and radiobiological metrics for CTV

and bladder. Figures 1 and 2 observed correlations for PTV

and rectum respectively. For both structures volume

similarity, sensitivity, and specificity showed moderate

levels of correlation with a range of radiobiological

metrics, although no correlations were observed between

contouring variation and maximum dose within the

rectum. Dice Similarity Coefficient (DSC) and Jaccard

Index were found to have no significant correlation with

simulated outcome for either structure, despite their

prevalence within the literature. Centre-of-mass

variations in the coronal and sagittal planes for PTV and

rectum respectively were the only distance metrics

displaying significant correlations to simulated treatment

outcome. Euclidean centre-of-mass variations, Hausdorff

Distance, and Mean Absolute Surface Distance showed no

correlation with any radiobiological metric.

Conclusion

Results indicate that volume similarity, sensitivity,

specificity, and centre-of-mass significantly correlate with

simulated treatment outcome within the rectum and PTV

for prostate cancer radiotherapy. This information could

inform future automated registration and atlas methods,

allowing them to be guided on metrics based on clinical

significance.

Electronic Poster: Physics track: Implementation of new

technology, techniques, clinical protocols or trials

(including QA &amp; audit)

EP-1729 Air pockets in the urinary bladder during

hyperthermia treatment reduce thermal dose

G. Schooneveldt

1

, H.P. Kok

1

, E.D. Geijsen

1

, A. Bakker

1

,

J.J.M.C.H. De la Rosette

2

, M.C.C.M. Hulshof

1

, T.M. De

Reijke

2

, J. Crezee

1

1

Academic Medical Center, Radiotherapy, Amsterdam,

The Netherlands

2

Academic Medical Center, Urology, Amsterdam, The

Netherlands

Purpose or Objective

Hyperthermia is a (neo)adjuvant treatment modality that

increases the effectiveness of radiotherapy or

chemotherapy by heating the tumour area to 41–43 °C.

This has been shown to improve treatment outcome for a

number of tumour sites, including the urinary bladder.

Hyperthermia may be given both for muscle-invasive

bladder cancer, where it is combined with radiotherapy,

and for non-muscle invasive disease (NMIBC), where it is

combined with chemotherapy. However, some air may be

present in the bladder during treatment, which effectively

blocks the microwave radiation used to warm the bladder.

This may lead to a lower thermal dose to the bladder wall,

which is associated with a lower treatment response. This

study investigates the size of that effect.

Material and Methods

We analysed thirteen NMIBC patients treated at our

institute with mitomycin C (40 mg in 50 ml) plus

hyperthermia (60 min). Hyperthermia was delivered using

our hyperthermia device with four 70 MHz antennas

around the pelvis. A CT scan was made after treatment

and a physician delineated the bladder on the CT scan. On

the same scan, the amount of air present in the bladder

was delineated. Using our in-house developed

hyperthermia treatment planning system, we simulated

the treatment using the clinically applied device settings.

We did this with the air pocket delineated on the CT scan,

and alternatively with the same volume filled with fluid

(urine).

Results

The patients had on average 4.2 ml (range 0.8 – 10.1 ml)

air in the bladder. The bladder volume delineated by the

physician (including air pocket and bladder wall), was on

average 253 ml (range 93 – 452 ml). The average bladder

volume in which changes exceeded 0.25 °C was 22 ml

(range 0 – 108 ml), with the bladder being up to 2 °C cooler

when an air pocket was present. There was no evident

relation between the quantity of air and the difference in

temperature. Although in particular the part of the

bladder close to the air pocket absorbs less energy, the

temperature in the entire bladder is typically lower

because of convective mixing in the bladder contents.