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Proceedings Paper

Effect of calibration on computerized analysis of prostate lesions using quantitative dynamic contrast-enhanced magnetic resonance imaging
Author(s): Pieter C. Vos; Thomas Hambrock; Jurgen J. Fütterer; C. A. Hulsbergen-van de Kaa; Jelle Barentsz; Henkjan Huisman
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Paper Abstract

In this study, we investigated the effect of different patient calibration methods on the performance of our CAD system when discriminating prostate cancer from non-malignant suspicious enhancing areas in the peripheral zone and the normal peripheral zone. Our database consisted of 34 consecutive patients with histologically proven adenocarcinoma of the prostate. Both carcinoma and normal tissue were annotated on MR images by a radiologist and a researcher using whole mount step-section histopathology as standard of reference. The annotated regions were used as regions of interest in the contrast enhanced MRI images. A feature set comprising pharmacokinetic parametes was extracted from the ROIs to train a support vector machine as classifier. The output of the classifier was used as a measure of likelihood of malignancy. General performance of the scheme was evaluated using the area under the ROC curve. The diagnostic accuracy obtained for differentiating normal peripheral zone and non-malignant suspicious enhancing areas from malignant lesions was 0.88 (0.81-0.95) when per patient calibration was performed, whereas fixed calibration resulted in a diagnostic accuracy of 0.77 (0.69-0.85). These preliminary results indicate that when per patient calibration is used, the performance is improved with statistical significance (p=0.026).

Paper Details

Date Published: 29 March 2007
PDF: 10 pages
Proc. SPIE 6514, Medical Imaging 2007: Computer-Aided Diagnosis, 65140U (29 March 2007); doi: 10.1117/12.709357
Show Author Affiliations
Pieter C. Vos, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Thomas Hambrock, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Jurgen J. Fütterer, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
C. A. Hulsbergen-van de Kaa, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Jelle Barentsz, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)
Henkjan Huisman, Radboud Univ. Nijmegen Medical Ctr. (Netherlands)

Published in SPIE Proceedings Vol. 6514:
Medical Imaging 2007: Computer-Aided Diagnosis
Maryellen L. Giger; Nico Karssemeijer, Editor(s)

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