Quantitative ultrasound spectroscopic imaging for characterization of disease extent in prostate cancer patients.
Three-dimensional quantitative ultrasound spectroscopic imaging of prostate was investigated clinically for the noninvasive detection and extent characterization of disease in cancer patients and compared to whole-mount, whole-gland histopathology of radical prostatectomy specimens. Fifteen patients with prostate cancer underwent a volumetric transrectal ultrasound scan before radical prostatectomy. Conventional-frequency (~5MHz) ultrasound images and radiofrequency data were collected from patients. Normalized power spectra were used as the basis of quantitative ultrasound spectroscopy. Specifically, color-coded parametric maps of 0-MHz intercept, midband fit, and spectral slope were computed and used to characterize prostate tissue 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 r(2) value of 0.71 (P<.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 (r(2)=0.764, P<.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.
Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5; Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5; Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada M4N 3M5; Department of Radiation Oncology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada M4N 3M5.
Ali
A
Sadeghi-Naini
Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5; Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5; Department of Computer Science, Ryerson University, Toronto, Ontario, Canada M5B 2K3.
Ervis
E
Sofroni
Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5; Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5; Department of Computer Science, Ryerson University, Toronto, Ontario, Canada M5B 2K3.
Naum
N
Papanicolau
Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5; Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5; Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada M4N 3M5; Department of Radiation Oncology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada M4N 3M5.
Omar
O
Falou
Department of Pathology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada M4N 3M5.
Linda
L
Sugar
Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5; Department of Radiation Oncology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada M4N 3M5.
Gerard
G
Morton
Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5; Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada M4N 3M5.
Martin J
MJ
Yaffe
Division of Urology, Sunnybrook Health Sciences Centre, Toronto, Ontario, Canada M4N 3M5; Department of Surgery, Faculty of Medicine, University of Toronto, Toronto, Ontario, Canada M4N 3M5.
Robert
R
Nam
Department of Computer Science, Ryerson University, Toronto, Ontario, Canada M5B 2K3.
Alireza
A
Sadeghian
Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada M4N 3M5; Department of Physics, Ryerson University, Toronto, Ontario, Canada M5B 2K3.
Michael C
MC
Kolios
Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5; Department of Radiation Oncology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada M4N 3M5.
Hans T
HT
Chung
Physical Sciences, Sunnybrook Research Institute, Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5; Department of Radiation Oncology, Odette Cancer Centre, Sunnybrook Health Sciences Centre, Toronto, ON, Canada M4N 3M5; Department of Medical Biophysics, Faculty of Medicine, University of Toronto, Toronto, ON, Canada M4N 3M5; Department of Radiation Oncology, Faculty of Medicine, University of Toronto, Toronto, ON, Canada M4N 3M5. Electronic address: Gregory.Czarnota@sunnybrook.ca.
Gregory J
GJ
Czarnota