Computerized three-dimensional localization of prostate cancer using contrast-enhanced power Doppler and clustering analysis

European Urology
Hilco van MoerkerkJ Alfred Witjes

Abstract

To evaluate the potential benefit of semiautomated localization of prostate cancer using clustering analysis on three-dimensional (3-D) contrast-enhanced power Doppler images. Thirty patients with biopsy-proven prostate cancer and scheduled for radical prostatectomy underwent a 3-D contrast-enhanced power Doppler scan prior to surgery. A 3-D ellipsoid model was manually fitted around the prostate. The model automatically divided the prostate into 12 zones. After calculation of a so-called clustering map, the clustering values of each zone were calculated. They were compared with whole-mount section histopathology. Region-of-interest (ROI) analysis was performed with bootstrapping to evaluate overall performance. The ROI analysis yielded area under the curve (AUC) values of 0.65 with a corresponding standard error of 0.03. Semiautomatic localization based on clustering analysis of blood flow aids in localization of prostate tumors. A clustering map is an easy-to-interpret extension to standard power Doppler images.

References

Dec 4, 2001·Ultrasound in Medicine & Biology·T C PotdevinP L Carson
Jul 13, 2004·The Journal of Urology·Rahmi OnurFernando J Bianco
Sep 15, 2004·European Urology·Mesut RemziUNKNOWN European Society for Oncological Urology (ESOU)
Dec 22, 2004·BJU International·Andreas ErbersdoblerRolf-Peter Henke
Dec 22, 2004·BJU International·Herbert AugustinHartwig Huland
Jul 28, 2005·European Urology·G AusUNKNOWN European Association of Urology

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Citations

Oct 24, 2009·Journal of Medical Engineering & Technology·S CandefjordO A Lindahl
May 2, 2009·The Urologic Clinics of North America·Stavros GravasJean de la Rosette
Jul 11, 2009·Expert Review of Anticancer Therapy·Jurgen J FüttererStijn Twpj Heijmijnk

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