Detection and grading of prostate cancer using temporal enhanced ultrasound: combining deep neural networks and tissue mimicking simulations. Int J Comput Assist Radiol Surg 2017 Aug;12(8):1293-1305
Date
06/22/2017Pubmed ID
28634789Pubmed Central ID
PMC7900902DOI
10.1007/s11548-017-1627-0Scopus ID
2-s2.0-85021150139 (requires institutional sign-in at Scopus site) 39 CitationsAbstract
PURPOSE : Temporal Enhanced Ultrasound (TeUS) has been proposed as a new paradigm for tissue characterization based on a sequence of ultrasound radio frequency (RF) data. We previously used TeUS to successfully address the problem of prostate cancer detection in the fusion biopsies. METHODS : In this paper, we use TeUS to address the problem of grading prostate cancer in a clinical study of 197 biopsy cores from 132 patients. Our method involves capturing high-level latent features of TeUS with a deep learning approach followed by distribution learning to cluster aggressive cancer in a biopsy core. In this hypothesis-generating study, we utilize deep learning based feature visualization as a means to obtain insight into the physical phenomenon governing the interaction of temporal ultrasound with tissue. RESULTS : Based on the evidence derived from our feature visualization, and the structure of tissue from digital pathology, we build a simulation framework for studying the physical phenomenon underlying TeUS-based tissue characterization. CONCLUSION : Results from simulation and feature visualization corroborated with the hypothesis that micro-vibrations of tissue microstructure, captured by low-frequency spectral features of TeUS, can be used for detection of prostate cancer.
Author List
Azizi S, Bayat S, Yan P, Tahmasebi A, Nir G, Kwak JT, Xu S, Wilson S, Iczkowski KA, Lucia MS, Goldenberg L, Salcudean SE, Pinto PA, Wood B, Abolmaesumi P, Mousavi PMESH terms used to index this publication - Major topics in bold
HumansImage-Guided Biopsy
Imaging, Three-Dimensional
Magnetic Resonance Imaging
Male
Neoplasm Staging
Prostatic Neoplasms
Sensitivity and Specificity
Ultrasonography, Interventional
