• Computerized three-dimensional...

Treffer: Computerized three-dimensional localization of prostate cancer using contrast-enhanced power doppler and clustering analysis

Title:
Computerized three-dimensional localization of prostate cancer using contrast-enhanced power doppler and clustering analysis
Authors:
VAN MOERKERK, Hilco, HEIJMINK, Stijn W. T. P. J, HULSBERGEN-V.D. KAA, Christina A, BARENTSZ, Jelle O, WITJES, J. Alfred
Source:
European urology. 50(4):762-769
Publisher Information:
Oxford: Elsevier, 2006.
Publication Year:
2006
Physical Description:
print, 24 ref
Original Material:
INIST-CNRS
Subject Terms:
Urology, nephrology, Urologie, néphrologie, Sciences biologiques et medicales, Biological and medical sciences, Sciences medicales, Medical sciences, Nephrologie. Maladies des voies urinaires, Nephrology. Urinary tract diseases, Tumeurs de l'appareil urinaire, Tumors of the urinary system, Voies urinaires. Prostate, Urinary tract. Prostate gland, Gynecologie. Andrologie. Obstetrique, Gynecology. Andrology. Obstetrics, Pathologie de l'appareil génital mâle, Male genital diseases, Tumeurs, Tumors, Appareil génital mâle pathologie, Male genital diseases, Aparato genital macho patología, Appareil urinaire pathologie, Urinary system disease, Aparato urinario patología, Exploration ultrason, Sonography, Exploración ultrasonido, Hémodynamique, Hemodynamics, Hemodinámica, Prostate pathologie, Prostate disease, Prostata patología, Analyse quantitative, Quantitative analysis, Análisis cuantitativo, Cancer prostate, Prostate cancer, Cáncer de la próstata, Dopplérométrie, Doppler ultrasound study, Dopplerometría, Débit sanguin, Blood flow, Flujo sanguíneo, Echographie, Echography, Ecografía, Imagerie médicale, Medical imagery, Imaginería médica, Informatisation, Computerization, Informatización, Localisation, Localization, Localización, Traitement informatique, Computerized processing, Tratamiento informático, Tumeur maligne, Malignant tumor, Tumor maligno, Ultrason, Ultrasound, Ultrasonido, Urologie, Urology, Urología, Néphrologie, Nephrology, Nefrología, Cancer, Clustering, Contrast, Power Doppler, Prostate, Quantitative measures, Three-dimensional imaging
Document Type:
Fachzeitschrift Article
File Description:
text
Language:
English
Author Affiliations:
Department of Urology, Radboud University Medical Center Nijmegen, Nijmegen, Netherlands
Department of Radiology, Radboud University Medical Center Nijmegen, Nijmegen, Netherlands
Department of Pathology, Radboud University Medical Center Nijmegen, Nijmegen, Netherlands
ISSN:
0302-2838
Access URL:
http://pascal-francis.inist.fr/vibad/index.php?action=search&terms=18109960
Rights:
Copyright 2006 INIST-CNRS
CC BY 4.0
Sauf mention contraire ci-dessus, le contenu de cette notice bibliographique peut être utilisé dans le cadre d’une licence CC BY 4.0 Inist-CNRS / Unless otherwise stated above, the content of this bibliographic record may be used under a CC BY 4.0 licence by Inist-CNRS / A menos que se haya señalado antes, el contenido de este registro bibliográfico puede ser utilizado al amparo de una licencia CC BY 4.0 Inist-CNRS
Notes:
Gynecology. Andrology. Obstetrics

Nephrology. Urinary tract diseases
Accession Number:
edscal.18109960
Database:
PASCAL Archive

Weitere Informationen

Objective: To evaluate the potential benefit of semiautomated localization of prostate cancer using clustering analysis on three-dimensional (3-D) contrast-enhanced power Doppler images. Methods: 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. Results: The ROI analysis yielded area under the curve (AUC) values of 0.65 with a corresponding standard error of 0.03. Conclusion: 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.