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Multicenter Multireader Evaluation of an Artificial Intelligence–Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI

Sherif Mehralivand, Stephanie A. Harmon, Joanna H. Shih, Clayton Smith, Nathan Lay, Burak Argun, Sandra Bednarova, Ronaldo Hueb Baroni, Abdullah Erdem Canda, Karabekır Ercan, Rossano Girometti, Ercan Karaarslan, Ali Rıza Kural, Andrei S. Purysko, Soroush Rais‐Bahrami, Victor Martins Tonso, Cristina Magi‐Galluzzi, Jennifer Gordetsky, Ricardo Macarenco, Maria J. Merino, Berrak Gümüşkaya, Yeşim Sağlıcan, Stefano Sioletic, Anne Y. Warren, Tristan Barrett, Leonardo Kayat Bittencourt, Mehmet Coşkun, Chris Knauss, Yan Mee Law, Ashkan A. Malayeri, Daniel Margolis, Jamie Marko, Derya Yakar, Bradford J. Wood, Peter A. Pinto, Peter L. Choyke, Ronald M. Summers, Barış Türkbey

2020American Journal of Roentgenology51 citationsDOIOpen Access PDF

Abstract

Overall sensitivity was only minimally improved by use of the AI system. Significant improvement was achieved, however, in the detection of transition zone lesions with use of the AI system at the cost of a mean of 40 seconds of additional reading time.

Topics & Concepts

MedicineMultiparametric MRIProstate cancerRadiologyProstateNuclear medicineCancerInternal medicineProstate Cancer Diagnosis and TreatmentRadiomics and Machine Learning in Medical ImagingAI in cancer detection
Multicenter Multireader Evaluation of an Artificial Intelligence–Based Attention Mapping System for the Detection of Prostate Cancer With Multiparametric MRI | Litcius