Abstract #0634
Diffusion Weighted Imaging in Accurate Classification of Complex Ovarian Masses: A Whole-Tumor Heterogeneity Quantification Approach
Anahita Fathi Kazerooni 1,2 , Mojtaba Safari 1 , Hamidreza Haghighatkhah 3 , Mahnaz Nabil 4 , and Hamidreza Saligheh Rad 1,2
1
Quantitative MR Imaging and Spectroscopy
Group, Research Center for Molecular and Cellular
Imaging, Tehran University of Medical Sciences, Tehran,
Iran,
2
Department
of Medical Physics and Biomedical Engineering, School of
Medicine, Tehran University of Medical Sciences, Tehran,
Iran,
3
Department
of Radiology, School of Medicine, Shahid Beheshti
University of Medical Sciences, Tehran, Iran,
4
Department
of Statistics, Tarbiat Modares University, Tehran, Iran
Successful treatment outcome in complex ovarian masses
depends on their accurate characterization. Despite the
critical role of quantitative ADC-maps in
characterization of pathologies, their contribution is
still a matter of debate in complex ovarian masses. This
is mainly due to the inherently high heterogeneity of
this type of tumor, both in inter- and intra-patient
levels. To overcome this challenging issue, in this
work, we have carried out whole-tumor texture analysis
on ADC-maps to quantitatively account for heterogeneous
pattern of ovarian cancers. Moreover, we exploit an
automated classification approach for evaluation and
selection of the best representative features of tumor
non-uniformity.
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