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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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