Abstract #4086
Entropy and Higher Order Moment Analysis of Pixel DCE-MRI Parameters for Breast Cancer Diagnosis
Mohan Jayatilake 1 , Xubo Song 1 , Alina Tudorica 1 , Yiyi Chen 1 , Karen Oh 1 , Nicole Roy 1 , Mark Kettler 1 , and Wei Huang 1
1
Oregon Health & Science University,
Portland, Oregon, United States
Pre-biopsy DCE-MRI data from 82 mammography- and/or
ultrasound-detected suspicious lesions were collected
and analyzed using the Standard and Shutter-Speed PK
models. Mean, higher order moments, and entropy of the
pixel PK parameters were calculated. The higher order
moments and entropy of the Ktrans and DeltaKtrans
parameters provided comparable diagnostic accuracy as
the mean metric, suggesting tumor perfusion
heterogeneity can be used to discriminate benign and
malignant breast lesions. The utility of spatial
heterogeneity of the PK parameters will be investigated
in future studies.
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