Back to Search
Start Over
Multiparametric MRI maps for detection and grading of dominant prostate tumors.
- Source :
-
Journal of magnetic resonance imaging : JMRI [J Magn Reson Imaging] 2012 Jun; Vol. 35 (6), pp. 1403-13. Date of Electronic Publication: 2012 Jan 20. - Publication Year :
- 2012
-
Abstract
- Purpose: To develop an image-based technique capable of detection and grading of prostate cancer, which combines features extracted from multiparametric MRI into a single parameter map of cancer probability.<br />Materials and Methods: A combination of features extracted from diffusion tensor MRI and dynamic contrast enhanced MRI was used to characterize biopsy samples from 29 patients. Support vector machines were used to separate the cancerous samples from normal biopsy samples and to compute a measure of cancer probability, presented in the form of a cancer colormap. The classification results were compared with the biopsy results and the classifier was tuned to provide the largest area under the receiver operating characteristic (ROC) curve. Based solely on the tuning of the classifier on the biopsy data, cancer colormaps were also created for whole-mount histopathology slices from four radical prostatectomy patients.<br />Results: An area under ROC curve of 0.96 was obtained on the biopsy dataset and was validated by a "leave-one-patient-out" procedure. The proposed measure of cancer probability shows a positive correlation with Gleason score. The cancer colormaps created for the histopathology patients do display the dominant tumors. The colormap accuracy increases with measured tumor area and Gleason score.<br />Conclusion: Dynamic contrast enhanced imaging and diffusion tensor imaging, when used within the framework of supervised classification, can play a role in characterizing prostate cancer.<br /> (Copyright © 2012 Wiley Periodicals, Inc.)
- Subjects :
- Aged
Contrast Media
Humans
Image Enhancement methods
Male
Middle Aged
Reproducibility of Results
Sensitivity and Specificity
Algorithms
Diffusion Magnetic Resonance Imaging methods
Gadolinium DTPA
Image Interpretation, Computer-Assisted methods
Prostatic Neoplasms pathology
Subtraction Technique
Subjects
Details
- Language :
- English
- ISSN :
- 1522-2586
- Volume :
- 35
- Issue :
- 6
- Database :
- MEDLINE
- Journal :
- Journal of magnetic resonance imaging : JMRI
- Publication Type :
- Academic Journal
- Accession number :
- 22267089
- Full Text :
- https://doi.org/10.1002/jmri.23540