… The results of the model showed that with SelectMDx, QALYs could be gained while
saving healthcare costs in the initial diagnosis of prostate cancer. The significant presence of …

… multivariable logistic regression models to calculated associated P values and odds ratios
as described in the “Methods” section. Results from the multivariable models are shown in …

… Accordingly, we fit a Firth's logistic regression model which accounts for the nearly perfect
separation and considerably reduced the size of the coefficients and confidence intervals 35 . …

… model achieved high accuracy of prostate cancer classification (accuracy of 86.92%). Moreover,
the comparison … is demonstrated by a series of comparative studies. Our experimental …

… Various preclinical models have been developed to clarify the pathophysiology of prostate
cancer (PCa). Traditional PCa cell lines from clinical metastatic lesions, as exemplified by DU-…

… of this model will be a prospective comparative study of human readers of different experience
backgrounds comparing the detection performance of radiologists with and without model …

… As an additional advantage, relatively little data was used in the techniques and models …
for prostate IMRT plans, thus making direct comparison to existing models difficult. The latest …

… models in the training dataset: one for prostate cancer death and one for death from other
causes. Cox proportional hazards models … of the models predicting death from prostate cancer …

… comparative assessment of mpMRI and PET/CT PSMA scans to predict pathological stage
and grade of primary prostate cancer … mpMRI-based model of prostate cancer diagnosis. …

… comparison, models were also trained using standard PET features (SUVs, volume, total
PSMA uptake). Model … In our study on [ 18 F]DCFPyL in primary prostate cancer, we observed …