Doppler quantitative measures by region to discriminate prostate cancer

• Published in: Ultrasound in medicine & biology Vol. 27; no. 10; pp. 1305 - 1310
• Main Authors: POTDEVIN, T. C, MOSKALIK, A. P, FOWLKES, J. B, BUDE, R. O, CARSON, P. L
• Format: Journal Article
• Language: English
• Published: Amsterdam Elsevier 01.10.2001
• Subjects: Aged; Biological and medical sciences; Genital system. Mammary gland; Humans; Imaging, Three-Dimensional; Investigative techniques, diagnostic techniques (general aspects); Male; Medical sciences; Middle Aged; Prostate - blood supply; Prostate - diagnostic imaging; Prostate - pathology; Prostatic Neoplasms - diagnostic imaging; Prostatic Neoplasms - pathology; ROC Curve; Ultrasonic investigative techniques; Ultrasonography, Doppler, Color; Sonography; Human; Urinary system disease; Prostate disease; Male; Malignant tumor; Duplex ultrasonography; Differential diagnostic; Color echography; Medical imagery; Tridimensional image; Technique; Male genital diseases; Prostate
• ISSN: 0301-5629; 1879-291X
• DOI: 10.1016/S0301-5629(01)00458-6

This study was conducted to assess if sonographic discrimination between healthy and cancerous prostate tissue might be improved using regional analysis of ultrasound (US) Doppler measures. A total of 39 subjects underwent 3-D Doppler sonography before radical prostatectomy. Cancer locations were identified from hematoxylin and eosin (H&E)-stained slides. Three prostate data volumes consisting of a frequency shift and power-mode Doppler US and whole mount histology images were spatially registered for each prostate, then divided into entirely 1 mL-sized regions of cancerous or noncancerous tissue. Each prostate was visually divided into a peripheral and a periurethral region within which US Doppler measures were calculated. Receiver operating characteristic (ROC) and simulated biopsy analyses within each prostate were performed. Mean speed in colored pixels (V), and speed-weighted pixel density (SWD) are good discriminators for prostate cancer in the periurethral and the peripheral regions, respectively. Using SWD in a simulated biopsy yields increased cancer detection in the peripheral region.