Prostate cancer (PCa) is the most occurring type of cancer in the Western World. Yet, the most common diagnostic tool, systematic biopsy, is invasive and has low sensitivity. Recently, contrast-ultrasound dispersion imaging (CUDI) by spatiotemporal similarity analysis on contrast-enhanced ultrasound (CEUS) has been proposed as a promising, non-invasive alternative for PCa localization. It was shown that increased mutual information (MutI) between the indicator dilution curves in a block kernel and its central pixel relates to the presence of PCa. However, until now CUDI by MutI has been investigated in 2-D only, requiring a separate contrast injection for each imaging plane. Moreover, out-of-plane contrast flow could not be taken into account. In this work, we implemented CUDI by MutI using 4-D CEUS to overcome the aforementioned issues. We tested its feasibility to perform 3-D CUDI by comparison with 12-core systematic biopsies in 3 patients. The mean MutI for the patient with only one positive biopsy sample was significantly lower than that for the other two patients with more than 6 positive samples. This result encourages refinement and validation of the presented method in a larger patient group.
|Title of host publication||2015 IEEE International Ultrasonics Symposium (IUS), 21-24 October 2015, Taipei, Taiwan|
|Place of Publication||Piscataway|
|Publisher||Institute of Electrical and Electronics Engineers|
|Publication status||Published - 2015|