Flow chart for a DSS based on a multiparametric MRI. The cancer probability map is the final outcome of the algorithm.
Top view of the patient-specific mold showing the prostate cavity (wire mesh), the slots for the knife every 6 mm, and correspondence of the locations of 5 mm histology slices to the locations of MP-MRI slices. The rectangular outlines near each slot indicate the location of optional windows that were also visible in the MRI slices shown in Figs. 3(d)–3(f) and 4(d)–4(f).
Selected slices from MR images of a prostate gland in vivo (a)–(c) and ex vivo inside a mold (d)–(f) showing good correlation when tissue shrinkage was minimal.
Selected slices from MR images of a prostate gland acquired in vivo (a)–(c) and ex vivo inside a mold (d)–(f) showing poor correlation when tissue shrinkage was significant.
T 2-weighted image (a) and segmented region map (b) from MP-MRI images show good correspondence with histology map gold standard (c).
Box and whisker plot for cancer (C) and noncancer regions (NC). Center line = median, top of box = 75th percentile, bottom of box = 25th percentile, whiskers = data within 1.5 interquartile ranges, outlier = +, shape of the notches represents statistically significant differences between two groups p < 0.0001 for all modalities.
DSS performance using individual MR sequences in comparison to different combinations of multiparametric MR images.
Illustration of the DSS. Multiparametric MRI images (a)–(c), resulting color coded cancer probability map (d) superimposed on T2W image with a white arrow indicating region of highest probability, and histopathology slide (e) confirming the presence of tumor (Gleason score 3 +4, dotted line) in the region with the highest probability. The anterior (A), posterior (P), left (L), and right (R) sides are labeled.
Definition terms for contingency table used in system evaluation.
Results from ex vivo validation of PSM.
Results without optimized SVM parameters.
Results with optimized SVM parameters.
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