Quantitative Ultrasound Spectroscopic Imaging for Characterization of Disease Extent in Prostate Cancer Patients

Abstract

<p>Three-dimensional quantitative ultrasound <a href="https://www-sciencedirect-com.ezproxy.lib.ryerson.ca/topics/medicine-and-dentistry/spectroscopic-imaging" target="_blank">spectroscopic imaging</a> of prostate was investigated clinically for the noninvasive detection and extent characterization of disease in cancer patients and compared to whole-mount, whole-gland <a href="https://www-sciencedirect-com.ezproxy.lib.ryerson.ca/topics/medicine-and-dentistry/histopathology" target="_blank">histopathology</a> of <a href="https://www-sciencedirect-com.ezproxy.lib.ryerson.ca/topics/medicine-and-dentistry/prostatectomy" target="_blank">radical prostatectomy</a> specimens. Fifteen patients with <a href="https://www-sciencedirect-com.ezproxy.lib.ryerson.ca/topics/medicine-and-dentistry/prostate-cancer" target="_blank">prostate cancer</a> underwent a volumetric <a href="https://www-sciencedirect-com.ezproxy.lib.ryerson.ca/topics/medicine-and-dentistry/transrectal-ultrasonography" target="_blank">transrectal ultrasound</a> scan before radical prostatectomy. Conventional-frequency (~ 5 MHz) ultrasound images and <a href="https://www-sciencedirect-com.ezproxy.lib.ryerson.ca/topics/biochemistry-genetics-and-molecular-biology/radiofrequency" target="_blank">radiofrequency</a> data were collected from patients. Normalized power spectra were used as the basis of quantitative ultrasound <a href="https://www-sciencedirect-com.ezproxy.lib.ryerson.ca/topics/medicine-and-dentistry/spectroscopy" target="_blank">spectroscopy</a>. Specifically, color-coded parametric maps of 0-MHz intercept, midband fit, and spectral slope were computed and used to characterize <a href="https://www-sciencedirect-com.ezproxy.lib.ryerson.ca/topics/medicine-and-dentistry/prostate-tissue" target="_blank">prostate tissue</a> in ultrasound images. Areas of cancer were identified in whole-mount histopathology specimens, and disease extent was correlated to that estimated from quantitative ultrasound parametric images. Midband fit and 0-MHz intercept parameters were found to be best associated with the presence of disease as located on histopathology whole-mount sections. Obtained results indicated a correlation between disease extent estimated noninvasively based on midband fit parametric images and that identified histopathologically on prostatectomy specimens, with an <em>r</em>2 value of 0.71 (<em>P</em> < .0001). The 0-MHz intercept parameter demonstrated a lower level of correlation with histopathology. Spectral slope parametric maps offered no discrimination of disease. Multiple regression analysis produced a hybrid disease characterization model (<em>r</em>2 = 0.764, <em>P</em> < .05), implying that the midband fit biomarker had the greatest correlation with the histopathologic extent of disease. This work demonstrates that quantitative ultrasound spectroscopic imaging can be used for detecting prostate cancer and characterizing disease extent noninvasively, with corresponding gross three-dimensional histopathologic correlation. </p>