Abstract #4861

Parameter Induced Variations in DCE-MRI Analysis: Monitoring Treatment Response for Head and Neck Tumours

Madeline Carr^1,2,3, Michael Jameson^1,2,3,4, Christopher Rumley^2,4,5, Gary Liney^2,3,4, Mark Lee^3,4, Phillip Chlap^2,4, Peter Metcalfe^1,2, and Lois Holloway^1,2,3,4,6

¹Centre for Medical and Radiation Physics, University of Wollongong, Wollongong, Australia, ²Medical Physics, Ingham Institute of Applied Medical Research, Liverpool, Australia, ³Liverpool and Macarthur Cancer Therapy Centres, Liverpool, Australia, ⁴South Western Sydney Clinical School, University of New South Wales, Liverpool, Australia, ⁵Townsville Hospital and Health Service, Townsville, Australia, ⁶Institute of Medical Physics, University of Sydney, Camperdown, Australia

The effect of altering the input parameters into a Pharmacokinetic (PK) model on output parameter values generated was investigated. This included determining the variations induced by using individualized versus population based Arterial Input Function and haematocrit values in the model. This was completed for multiple DCE-MRI scans acquired along the course of radiotherapy treatment for 5 head and neck cancer patients. Qualitatively, most patients had similar trendlines when comparing between each combination of parameter inputs. However quantitatively, the %difference between baseline and subsequent weeks highlighted significant impacts caused by input parameter selection; having implications for applications in treatment response monitoring.

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