Abstract #0671
Classification of tumor sub-volumes based on Dynamic Contrast Enhanced MRI model hierarchy for Locally Advanced Cervical Cancer
Jesper Folsted Kallehauge 1,2 , Thomas Nielsen 3 , Markus Alber 1 , Sren Haack 2,4 , Erik Morre Pedersen 5 , Jacob Christian Lindegaard 2 , Anne Ramlov 2 , and Kari Tanderup 6,7
1
Dept. of Medical Physics, Aarhus University
Hospital, Aarhus, Denmark,
2
Dept.
of Oncology, Aarhus University Hospital, Aarhus,
Denmark,
3
CFIN/Mindlab,
Aarhus University Hospital, Aarhus, Denmark,
4
Dept.
of Clinical Engineering, Aarhus University Hospital,
Aarhus, Denmark,
5
Dept.
of Radiology, Aarhus University Hospital, Aarhus,
Denmark,
6
Dept.
of Experimental Clinical Oncology, Aarhus University
Hospital, Aarhus, Denmark,
7
Dept.
of Clinical Medicine, Aarhus University, Aarhus, Denmark
We applied a set of hierarchical tracer kinetic models
to DCE-MRI data acquired prior to patient treatment in
cervical cancer patients. This study identified
contiguous regions where given kinetic models were
optimal and identified that high volume fraction
reflecting tissue enhancement best described by Tofts
model correlated with tumor stage.
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