Abstract #4082
Predicting Treatment Response in Non-Small Cell Lung Cancer Patients using mean ADCs and Functional Diffusion Maps
Carolin Reischauer 1,2 , Johannes M. Froehlich 1 , Miklos Pless 2 , Christoph A. Binkert 2 , Sebastian Kos 1 , and Andreas Gutzeit 1,3
1
Institute of Radiology and Nuclear Medicine,
Clinical Research Unit, Hirslanden Klinik St. Anna,
Lucerne, Switzerland,
2
Department
of Radiology, Cantonal Hospital Winterthur, Winterthur,
Switzerland,
3
Department
of Radiology, Paracelsus Medical University, Salzburg,
Austria
Therapy response in patients suffering from non-small
lung cancer is usually measured by tumor shrinkage
assessed using computed tomography after two cycles of
chemotherapy. If the treatment turns out to be
ineffective, patients undergo toxic therapy for weeks
without benefit. The present work investigates whether
mean apparent diffusion coefficients (ADC) and
functional diffusion maps (fDMs) permit predicting
response at an earlier stage. Thereby, fDMs allow
evaluating heterogeneous treatment effects by
quantifying the fractions of the tumor volume that show
either a significant increase or decrease in ADCs
compared with pretreatment values. Statistical analysis
reveals that tumor shrinkage can be predicted using fDMs
but not mean ADCs.
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