Diffusion Weighted Imaging in Accurate Classification of Complex Ovarian Masses: A Whole-Tumor Heterogeneity Quantification Approach
Anahita Fathi Kazerooni, Mojtaba Safari, Hamidreza Haghighatkhah, Mahnaz Nabil, and Hamidreza Saligheh Rad
ISMRM 23rd Annual Meeting & Exhibition • 30 May – 05 June 2015 • Toronto, Ontario, Canada
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.
Diffusion Weighted Imaging, Ovarian Masses, Whole-Tumor Heterogeneity Quantification