Fully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRI.
Cai J, Nakai H, Kuanar S, Froemming A, Bolan C, Kawashima A, Takahashi H, Mynderse L, Dora C, Humphreys M, Korfiatis P, Rouzrokh P, Bratt A, Conte G, Erickson B, Takahashi N. Fully Automated Deep Learning Model to Detect Clinically Significant Prostate Cancer at MRI. Radiology 2024, 312: e232635. PMID: 39105640, PMCID: PMC11366675, DOI: 10.1148/radiol.232635.Peer-Reviewed Original ResearchConceptsClinically Significant Prostate CancerSignificant prostate cancerProstate cancerPresence of clinically significant prostate cancerClinically significant prostatic cancer lesionsDetect clinically significant prostate cancerDetection of clinically significant prostate cancerInternal test setApparent diffusion coefficient mapsT1-weighted contrast-enhanced imagesReceiver operating characteristic curveT2-weighted imagesDL classifiersDiffusion-weighted imagingDiffusion coefficient mapsContrast-enhanced imagesMultiparametric MRITumor locationTumor localizationDeep learningGrad-CAMPathological diagnosisTest setDeLong testInterobserver variability
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