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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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