1 Department of Medical Biophysics, University of Toronto, Toronto, Ontario M4N 3M5, Canada; Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada; Department of Radiation Oncology, Odette Cancer Research, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario M4N 3M5, Canada; Department of Medical Biophysics, Western University, London, Ontario N6A 5C1, Canada.
2 Department of Electrical and Computer Engineering, Concordia University, Montreal, Quebec H4B 1R6, Canada; PERFORM Centre, Concordia University, Montreal, Quebec H4B 1R6, Canada.
3 Department of Medical Biophysics, University of Toronto, Toronto, Ontario M4N 3M5, Canada; Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada; Department of Radiation Oncology, Odette Cancer Research, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario M4N 3M5, Canada.
4 Department of Medical Biophysics, Western University, London, Ontario N6A 5C1, Canada; Department of Electrical and Computer Engineering, Western University, London, Ontario N6A 5B9, Canada; Graduate Program in Biomedical Engineering, Western University, London, Ontario N6A 5B9, Canada; Imaging Research Laboratories, Robarts Research Institute (RRI), London, Ontario, N6A 5K8, Canada.
5 Department of Medical Biophysics, University of Toronto, Toronto, Ontario M4N 3M5, Canada; Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada; Department of Radiation Oncology, Odette Cancer Research, Sunnybrook Health Sciences Centre, Toronto, Ontario M4N 3M5, Canada; Department of Radiation Oncology, University of Toronto, Toronto, Ontario M4N 3M5, Canada. Electronic address: ali.sadeghi@sri.utoronto.ca.

Ultrasound Elastography of the Prostate Using an Unconstrained Modulus Reconstruction Technique: A Pilot Clinical Study.

Transl Oncol. 2017 Oct;10(5):744-751

Authors: Mousavi SR, Rivaz H, Czarnota GJ, Samani A, Sadeghi-Naini A

Abstract

A novel full-inversion-based technique for quantitative ultrasound elastography was investigated in a pilot clinical study on five patients for non-invasive detection and localization of prostate cancer and quantification of its extent. Conventional-frequency ultrasound images and radiofrequency (RF) data (~5 MHz) were collected during mechanical stimulation of the prostate using a transrectal ultrasound probe. Pre and post-compression RF data were used to construct the strain images. The Young's modulus (YM) images were subsequently reconstructed using the derived strain images and the stress distribution estimated iteratively using finite element (FE) analysis. Tumor regions determined based on the reconstructed YM images were compared to whole-mount histopathology images of radical prostatectomy specimens. Results indicated that tumors were significantly stiffer than the surrounding tissue, demonstrating a relative YM of 2.5±0.8 compared to normal prostate tissue. The YM images had a good agreement with the histopathology images in terms of tumor location within the prostate. On average, 76%±28% of tumor regions detected based on the proposed method were inside respective tumor areas identified in the histopathology images. Results of a linear regression analysis demonstrated a good correlation between the disease extents estimated using the reconstructed YM images and those determined from whole-mount histopathology images (r2=0.71). This pilot study demonstrates that the proposed method has a good potential for detection, localization and quantification of prostate cancer. The method can potentially be used for prostate needle biopsy guidance with the aim of decreasing the number of needle biopsies. The proposed technique utilizes conventional ultrasound imaging system only while no additional hardware attachment is required for mechanical stimulation or data acquisition. Therefore, the technique may be regarded as a non-invasive, low cost and potentially widely-available clinical tool for prostate cancer diagnosis.

PMID: 28735201 [PubMed]