A new study published in Scientific Reports taps a large cohort to identify a classifier for prostate cancer (PCa) risk stratification based on radiomics and multiparametric magnetic resonance imaging (mpMRI.) The ability to accurately assess the aggressiveness of a diagnosed PCa could improve the selection of appropriate treatment for these patients, leading to improved outcomes including reduced PCa-specific mortality. Previous methods for assessing PCa were visual and therefore subjective, but the extraction of radiomic features provides a better model of tumor behavior.
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The study results present another example of the power of radiomics to improve the current standard of care. The HealthMyne Platform calculates 1500+ radiomic metrics for every lesion identified and makes this data easily mineable and available for inclusion in precision medicine initiatives.
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