Computer-aided diagnosis of prostate cancer with emphasis on ultrasound-based approaches: a review.
This paper reviews the state of the art in computer-aided diagnosis of prostate cancer and focuses, in particular, on ultrasound-based techniques for detection of cancer in prostate tissue. The current standard procedure for diagnosis of prostate cancer, i.e., ultrasound-guided biopsy followed by histopathological analysis of tissue samples, is invasive and produces a high rate of false negatives resulting in the need for repeated trials. It is against these backdrops that the search for new methods to diagnose prostate cancer continues. Image-based approaches (such as MRI, ultrasound and elastography) represent a major research trend for diagnosis of prostate cancer. Due to the integration of ultrasound imaging in the current clinical procedure for detection of prostate cancer, we specifically provide a more detailed review of methodologies that use ultrasound RF-spectrum parameters, B-scan texture features and Doppler measures for prostate tissue characterization. We present current and future directions of research aimed at computer-aided detection of prostate cancer and conclude that ultrasound is likely to play an important role in the field.
Moradi
Mehdi
M
School of Computing, Queen's University, Kingston, Ontario, Canada.
Mousavi
Parvin
P
Abolmaesumi
Purang
P
D001706:Biopsy / Q000379:methods; D003936:Diagnosis, Computer-Assisted / Q000379:methods*; D006801:Humans; D008279:Magnetic Resonance Imaging / Q000379:methods; D008297:Male; D008853:Microscopy / Q000379:methods; D009389:Neovascularization, Pathologic / Q000000981:diagnostic imaging / Q000473:pathology; D011467:Prostate / Q000000981:diagnostic imaging / Q000473:pathology; D011471:Prostatic Neoplasms / Q000000981:diagnostic imaging*; D014465:Ultrasonics; D018608:Ultrasonography, Doppler / Q000379:methods