AI System Beats Radiologists in Detecting Clinically Significant Prostate Cancer
AI detected 6.8% more clinically significant cancers, 20% fewer indolent cancers
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AI detected 6.8% more clinically significant cancers, 20% fewer indolent cancers
ASCO 2024, Prostate Cancer, Prostate-Specific Membrane Antigen Ligand Positron Emission Tomography (PSMA-PET), Diagnostic Imaging in Prostate Cancer, Artificial Intelligence in diagnostics, Innovation and Potential for Diagnostic Imaging in Prostate Cancer, PI-RADS guidelines.
Integration of prostate MRI may improve the balance of patient harms and benefits in prostate cancer screening.
PET/MRI can improve diagnostic accuracy for prostate cancer patients and help avoid unnecessary biopsies, according to new research published in the April issue of <em>The Journal of Nuclear Medicine</em>. By applying the PRIMARY scoring system to PET/MRI results, researchers found that more than 80 percent of unnecessary biopsies could be avoided at the expense of missing one in eight clinically significant prostate cancer cases.
This preliminary descriptive report compares the rates of detecting high- and low-grade prostate cancer in men invited for prostate cancer screening vs