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S317

ESTRO 36 2017

_______________________________________________________________________________________________

lesion glycolysis (TLG) and 5) SUVpeak. Univariate and

multivariate Cox regression were employed throughout.

Results

In the univariate analysis, SUVpeak in the primary GTV was

associated with local control (HR=1.084; p=0.03). The

regional nodal SUVpeak was associated with distant

control (HR=1.11; p=0.003). The other tumor volume and

SUV parameters were also associated with clinical

endpoints (p<0.05). In the multivariate analysis on OS, the

model included tumor stage (HR =1.41; p=0.02), ECOG

status (HR=2.92; p<0.001), Charlson comorbidity index

(HR=1.37; p=0.005), pack years of smoking (HR=1.015;

p<0.001) and primary GTV volume (HR=1.0074; p=0.02).

The model on DFS included ECOG status (HR=2.13;

p<0.001) and the union of all GTV volume (HR=1.0080;

p<0.001). These models were not improved by including

SUV parameters. However, analyzing the subgroup of HPV

negative OPC and non-OPC (n=77), the model on OS could

be improved by including MTV (HR=1.018; p<0.001) or TLG

(HR=1.0015; p=0.007). The model on DFS could be

improved by including one of the following parameters:

MTV (HR=1.040; p<0.001), TLG (HR=1.0036; p<0.001) or

SUVpeak of regional nodes (HR=1.15; p=0.001).

Conclusion

Accounting for clinical risk factors in the multivariate

modeling of survival after radiochemotherapy of head and

neck cancer, the SUV parameters appear less important

than found in previous studies. The association between

the SUV parameters and survival seems to be stronger for

HPV negative patients.

PO-0615 Can diffusion-weighted MRI predict for

xerostomia and QoL in head and neck patients receiving

RT?

K. Nguyen

1

, M. Min

1,2,3

, L. Holloway

1,2,3,4

, M. Jameson

1,2

,

C. Rumley

1,2

, A. Fowler

1

, M. Lee

1,3

, D. Forstner

1,2,3

, R.

Rai

1

, G. Liney

1,2,3,5

1

Liverpool Hospital, Radiation Oncology, Liverpool,

Australia

2

Ingham Institute of Applied Medical Research, Radiation

Oncology, Liverpool, Australia

3

University of New South Wales, Department of

Medicine, Sydney, Australia

4

University of Western Sydney, Medicine, Sydney,

Australia

5

University of Wollongong, Medicine, Wollongong,

Australia

Purpose or Objective

Diffusion-weighted MRI (DWI) has the ability to identify

specific cellular characteristics of tissues. Although DWI

has not been traditionally used in RT planning, there is

increasing interest regarding its potential worth in

predicting RT-related toxicities. Our study aims to

investigate 1) serial changes in apparent diffusion

coefficient (ADC) maps of salivary glands quantified from

DWI and 2) whether DWI can predict for xerostomia and

quality-of-life (QoL) in patients with mucosal primary

head and neck cancer (MPHNC) receiving primary RT.

Material and Methods

19 patients with newly diagnosed MPHNC receiving RT

were included. DWIs were acquired before, during (week

2,3,5,6) and after RT (post-RT week 4,12). Parotid and

submandibular glands were contoured on DWI and

corresponding estimated ADCs extracted (Figure1). 'Dry

mouth” according to Common Terminology Criteria for

Adverse Events (CTCAE) v4.0 and 'saliva” QoL according to

University of Washington QoL (UW-QoL) questionnaire v4.0

were recorded for a follow-up period of 11-23months post-

RT. A Spearman Correlation test was used to evaluate

associations (p≤0.05=significant) between ADC

mean

of

ipsilateral/contralateral/bilateral

parotid

and

submandibular glands and CTCAE, as well as UW-QoL

scores.

Results

Serial ADC

mean

for parotid and submandibular glands, both

ipsilateral and contralateral to primary cancer, showed an

increasing trend from pre-RT to post-RT (Figure2).

On analysis of parotid glands, a statistically significant

positive correlation existed between xerostomia and

bilateral parotid ADC

mean

on week5 DWI 0.624(p=0.023),

while a statistically significant negative correlation

existed between "saliva” QoL and bilateral parotid ADC

mean

on week5 DWI -0.629(p=0.038). Similarly, on analysis of

submandibular glands, a positive correlation existed

between xerostomia and bilateral submandibular ADC

mean

on week5 DWI 0.751(p=0.008), while "saliva” QoL and

change in bilateral submandibular ADC

mean

between pre-

RT and week5 DWI recorded a significant negative

correlation -0.791(p=0.034).

Conclusion

Our study shows an increasing trend in ADC

mean

on DWI in

salivary glands pre- to post-RT. As ADC is

an inverse measure of cellular density, this suggests there

is a decrease in the cellularity of salivary glands pre- to

post-RT detectable on DWI.

Correlations between ADC

mean

and xerostomia were

identified at week5 which suggests ADC

mean

measurements

at this time-point (approximately mid-RT) may be most

sensitive to predict for late xerostomia, rather than at any

other time-point studied. The significant negative

Spearman correlation between QoL following RT and

change in ADC

mean

suggests a link between worsening QoL

and increased ADC

mean

(or decreased cellularity) of salivary

glands.

In conclusion, DWI may be a valuable predictive tool for

late toxicities in MPHNC patients receiving RT. DWI has

potential to aid adaptive radiotherapy which spares

salivary glands depending on areas of high cellularity and

should be further explored.