24 March 2016 Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study
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Abstract
Recently, multi-parametric Magnetic Resonance Imaging (mp-MRI) has been used to improve the sensitivity of detecting high-risk prostate cancer (PCa). Prior to biopsy, primary and secondary cancer lesions are identified on mp-MRI. The lesions are then targeted using TRUS guidance. In this paper, for the first time, we present a fused mp-MRI-temporal-ultrasound framework for characterization of PCa, in vivo. Cancer classification results obtained using temporal ultrasound are fused with those achieved using consolidated mp-MRI maps determined by multiple observers. We verify the outcome of our study using histopathology following deformable registration of ultrasound and histology images. Fusion of temporal ultrasound and mp-MRI for characterization of the PCa results in an area under the receiver operating characteristic curve (AUC) of 0.86 for cancerous regions with Gleason scores (GSs)≥3+3, and AUC of 0.89 for those with GSs≥3+4.
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Farhad Imani, Farhad Imani, Sahar Ghavidel, Sahar Ghavidel, Purang Abolmaesumi, Purang Abolmaesumi, Siavash Khallaghi, Siavash Khallaghi, Eli Gibson, Eli Gibson, Amir Khojaste, Amir Khojaste, Mena Gaed, Mena Gaed, Madeleine Moussa, Madeleine Moussa, Jose A. Gomez, Jose A. Gomez, Cesare Romagnoli, Cesare Romagnoli, Derek W. Cool, Derek W. Cool, Matthew Bastian-Jordan, Matthew Bastian-Jordan, Zahra Kassam, Zahra Kassam, D. Robert Siemens, D. Robert Siemens, Michael Leveridge, Michael Leveridge, Silvia Chang, Silvia Chang, Aaron Fenster, Aaron Fenster, Aaron D. Ward, Aaron D. Ward, Parvin Mousavi, Parvin Mousavi, } "Fusion of multi-parametric MRI and temporal ultrasound for characterization of prostate cancer: in vivo feasibility study", Proc. SPIE 9785, Medical Imaging 2016: Computer-Aided Diagnosis, 97851K (24 March 2016); doi: 10.1117/12.2217205; https://doi.org/10.1117/12.2217205
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