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S481

ESTRO 36

_______________________________________________________________________________________________

transformation parameters, we created ‘voxel histories’

for the spinal cord relative to the planning CT, and

calculated delivered dose. Maximum planned and

delivered spinal cord dose (D

2%

) were then compared.

Results

A summary of auto-contouring algorithm performance is

shown in Table 1. Auto-contouring performance appeared

comparable to manual segmentation, and we proceeded

to calculate delivered dose. These results are shown in

Figure 1 (A-C). Fig. 1A shows a waterfall plot of planned

D

2%

minus delivered D

2%

for each patient. Mean spinal cord

D

2%

was 35.96Gy (planned) and 36.01Gy (delivered), and

the mean absolute difference between planned and

delivered dose was 1.1Gy (3% of mean planned D

2%

).

Differences between planned and delivered dose were

plotted as a histogram, which appears to be normally

distributed around the mean difference (Fig 1B). The

mean difference (µ, -0.05) and standard deviation (σ,

1.448) were used to approximate a normal distribution to

this data – as shown in Fig.1C. Using this model, a z

statistic can be calculated for a chosen difference (e.g.

Prob. of delivered D

2%

being 4Gy higher than planned is

2.5%).

Conclusion

Differences between planned and delivered D

2%

to the

spinal cord in patients receiving daily IG are small in HNC

patients treated with daily IG on TomoTherapy. Our model

permits computation of clinically meaningful differences

in context, but differences in spinal cord dose mandating

ART should be a rare event.

PO-0880 Using accumulated delivered dose to predict

rectal toxicity in prostate radiotherapy

L.E.A. Shelley

1,2,3

, J.E. Scaife

1,4

, A.M. Bates

1,4

, J.R.

Forman

1,5

, K. Harrison

1,6

, R. Jena

1,4

, D.J. Noble

1,4

, M.A.

Parker

1,6

, M.R. Romanchikova

1,3

, M.P.F. Sutcliffe

1,2

, S.J.

Thomas

1,3

, N.G. Burnet

1,4

1

Cambridge University Hospitals NHS Foundation Trust,

Cancer Research UK VoxTox Research Group, Cambridge,

United Kingdom

2

University of Cambridge, Department of Engineering,

Cambridge, United Kingdom

3

Cambridge University Hospitals NHS Foundation Trust,

Department of Medical Physics and Clinical Engineering,

Cambridge, United Kingdom

4

Cambridge University Hospitals NHS Foundation Trust,

Department of Oncology, Cambridge, United Kingdo

5

Cambridge University Hospitals NHS Foundation Trust,

Cambridge Clinical Trials Unit, Cambridge, United

Kingdom

6

University of Cambridge, Department of Physics-

Cavendish Laboratory, Cambridge, United Kingdom

Purpose or Objective

Dose-volume tolerances for organs at risk (OARs) adopted

during radiotherapy planning have been historically

derived from normal tissue complication probability

(NTCP) models linking toxicity with planned dose.

On-treatment image guidance facilitates daily tumour

localisation ensuring target coverage. However, the

positional variation of neighbouring OARs is often

disregarded. Anatomical deviations from the pre-

treatment CT due to interfraction motion can introduce

discrepancies between the planned and delivered dose.

One objective of the VoxTox research programme is to test

the hypothesis that delivered radiation dose can be a

stronger predictor of toxicity than planned dose.

Material and Methods

For 109 prostate cancer patients treated with

TomoTherapy® (74Gy/37#), daily megavoltage CT scans

were acquired. An in-house autocontouring algorithm

determines the rectal position, incorporating the effect of

displacement and deformation, and an independent dose

calculation is performed. Processing is fully automated

within the VoxTox study. Dose surface maps (DSMs) of the

rectal wall were generated following the virtual cutting

and unfolding method of Buettner et al [

Phys. Med. Biol

,

54, 21 (2009)], allowing conservation of spatial dose

information (Figure 1). Daily delivered DSMs were

summated to produce an accumulated DSM (Figure 1b)

over the whole treatment. Planned and accumulated DSMs

were parametrised by calculating 1) the equivalent

uniform dose (EUD) and 2) the ‘DSM dose-width’, the

lateral extent of an ellipse fitted to the largest isodose

cluster, for 7 discrete dose levels between 30 and 75 Gy.