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S853

ESTRO 36 2017

_______________________________________________________________________________________________

using a threshold of 10 mmHg. Assuming a clonogenic cell

density of 10

8

per cm

3

in the CTV, the HTV doses required

to achieve 95% local control (LC) were calculated based on

a previously developed radiobiological model (Toma-Dasu

et al 2009, 2012) accounting for the dynamic tumour

oxygenation due to changes in acute hypoxia not visible in

PET images. The total doses were calculated assuming

that the treatment involves 24, 30 or 35 fractions.

Results

The non-linear conversion function and hypoxic threshold

of 10 mmHg resulted in hypoxic subvolumes identified in

five out six patients. Three out of six patients had a

hypoxic subvolume > 3cm

3

. In two of the patients, the

delineated HTV was not entirely confined within the

primary CTV. For a treatment delivered in 30 fractions,

the prescribed dose required to achieve 95% local control

for the two patients with the largest HTVs of 32.74 and

38.29 cm

3

respectively were 75.52 and 75.67 Gy, both

corresponding to an EQD2 of almost 79 Gy10. For the third

patient with a smaller HTV of only 12.37 cm

3

, the total

dose in 30 fractions for 95% LC was 72.35 Gy. If the total

dose would be delivered in 35 fractions instead, the

prescribed doses would increase with about 2.2% of the

dose prescribed in 30 fractions for all three cases. The

relative decrease in the total dose if the total dose will be

delivered in only 24 fractions is about 3.5% for all three

HTVs. For all patients and for all treatment fractionation

schemes the dose levels required for achieving 95% tumour

control probability accounting for local changes in the

oxygenation of the tumour are below the levels of dose

boosts proved to be feasible to be delivered without extra

dose burden to the OARs on a previous study carried out

on the same patients.

Conclusion

HX4-based delineation of hypoxic target volumes and

calculation of required boost doses for a predefined

tumour control probability appears to be feasible. HX4 is

thus a potentially suitable tracer for the purpose of

treatment individualisation in NSCLC.

EP-1603 Atlas of complication incidence to explore

dosimetric contributions to osteoradionecrosis

L. Humbert-Vidan

1

, S. Gulliford

2

, V. Patel

3

, C. Thomas

1

,

T. Guerrero-Urbano

4

1

Guy's & St Thomas' NHS Foundation Trust, Radiotherapy

Physics, London, United Kingdom

2

The Institute of Cancer Research and Royal Marsden NHS

Foundation Trust, Joint Department of Physics, London,

United Kingdom

3

Guy's & St Thomas' NHS Foundation Trust, Oral Surgery,

London, United Kingdom

4

Guy's & St Thomas' NHS Foundation Trust, Clinical

Oncology, London, United Kingdom

Purpose or Objective

Mandibular osteoradionecrosis (ORN) is one of the most

severe complications in patients with head and neck

cancer undergoing radiation therapy (RT). Potential risk

factors include primary tumour site and stage, radiation

dose, pre- and post-RT dental extractions and mandibular

surgery, chemotherapy, dental hygiene, smoking or

alcohol.

This pilot study aims to assess the contribution of radiation

dose to the mandible to the incidence of ORN and

investigates the effect of different risk factors using the

atlas of complication incidence (ACI) method to

summarise dose-volume histograms and toxicity data.

Material and Methods

This retrospective study included 80 patients with head

and neck cancer with a median age of 62 (range 35-86)

treated with radical IMRT. Primary tumour sites included

a majority of oropharynx cases (42), oral cavity (26),

larynx (6), paranasal sinus (4) and two unknown primary

cases. Half of the cohort had been diagnosed with ORN of

the mandible within a median follow-up time of 3.2 years

(range 1.3-5.3) from the end of RT. The toxicity endpoint

considered included ORN complication of any grading. The

other 40 patients were control cases (no ORN observed)

prospectively matched according to primary site and

treatment option (PORT or primary RT and chemotherapy

type).

For given volume v

j

and dose d

i

levels, the numerical

fraction in a cell of an ACI is composed of the number of

patients (denominator) and the number of patients with

ORN (numerator) that have a mandible percentage volume

between v

j

and v

j+1

exposed to a dose level between d

i

and

d

i+1

. Atlases were created for sub-sets of the entire cohort

to investigate the effects of pre-RT surgery,

chemotherapy, smoking or dental extractions. These risk

factors were also tested with univariate statistical

analysis. Dosimetric variables including d

max

and d

mean

were

tested with ROC analysis.

Results

A dosimetric correlation with ORN incidence was observed

in cases where treatment modality was primary RT (as

opposed to post-operative RT). An increased ORN

incidence was observed towards the large percentage

volume and high doses region of the ACI, where a large

percentage of the mandible volume had received doses of

above 40Gy as well as smaller volume percentages

receiving doses above 64Gy. A similar incidence pattern

was observed for the ACI that included smoking patients

only. The ACI for the sub-set of patients that had

undergone dental extractions pre- or post-RT also showed

a very similar incidence pattern; however, this sub-set

included very few cases.

Conclusion

The ACI analysis carried out so far has shown a dose

response in patients who received primary RT, patients

who smoked at the time of diagnosis and patients who had

dental extractions. The limited number of cases did not

allow for any conclusive statistical significance of the

logistic regression and ROC analysis results. This pilot

study will be expanded to include cases from other centres

to increase the cohort size.

EP-1604 Ion induced complex DNA damage: In silico

modelling of damage and repair using Geant4-DNA.

J.W. Warmenhoven

1

, N.T. Henthorn

1

, M. Sotiropoulos

1

,

R.I. Mackay

2

, K.J. Kirkby

1,3

, M.J. Merchant

1,3

1

University of Manchester, Division of Molecular and

Clinical Cancer Sciences, Manchester, United Kingdom

2

The Christie NHS Foundation Trust, Christie Medical

Physics and Engineering, Manchester, United Kingdom

3

The Christie NHS Foundation Trust, Manchester, United

Kingdom

Purpose or Objective

This work uses Monte Carlo simulation to assess and

understand the differences in biological response to

various radiation qualities in the context of hadron

therapy. The current clinical estimator for this is Relative

Biological Effectiveness (RBE), offering a biological dose

conversion between radiation qualities. A large variability

in reported RBE measurements implies that this parameter

does not give the full picture. This variability in RBE is a

major source of uncertainty in ion therapy treatment

planning. Recently, LET based biological effect models

have been proposed, however, among those reviewed

there are uncertainties in the behaviour of key biological