Health AI Central
Peer-Reviewed Publication
Int J Radiat Oncol Biol Phys2025;123(1):183-194.September 1, 2025Journal Article

Multidisciplinary Consensus Prostate Contours on Magnetic Resonance Imaging: Educational Atlas and Reference Standard for Artificial Intelligence Benchmarking.

Yuze Song1, Anna M Dornisch2, Robert T Dess3, Daniel J A Margolis4, Eric P Weinberg5, Tristan Barrett6, Mariel Cornell7, Richard E Fan8, Mukesh Harisinghani9, Sophia C Kamran10, Jeong Hoon Lee11, Cynthia Xinran Li12, Michael A Liss13, Mirabela Rusu14, Jason Santos15, Geoffrey A Sonn16, Igor Vidic17, Sean A Woolen18, Anders M Dale19, Tyler M Seibert20
1Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California; Department of Electrical and Computer Engineering, University of California San Diego, La Jolla, California.
2Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California.
3Department of Radiation Oncology, University of Michigan, Ann Arbor, Michigan.
4Department of Radiology, Cornell University, Ithaca, New York.
5Department of Clinical Imaging Sciences, University of Rochester Medical Center, Rochester, New York.
6Department of Radiology, University of Cambridge, Cambridge, United Kingdom.
7Radformation, New York, New York.
8Department of Urology, Stanford School of Medicine, Palo Alto, California.
9Department of Radiology, Massachusetts General Hospital, Boston, Massachusetts.
10Department of Radiation Oncology, Massachusetts General Hospital, Boston, Massachusetts.
11Department of Radiology, Stanford School of Medicine, Palo Alto, California.
12Institute for Computational and Mathematical Engineering, Stanford University, Palo Alto, California.
13Department of Urology, University of Texas Health Sciences Center San Antonio, San Antonio, Texas.
14Department of Urology, Stanford School of Medicine, Palo Alto, California; Department of Radiology, Stanford School of Medicine, Palo Alto, California; Department of Biomedical Data Science, Stanford University, Palo Alto, California.
15Quibim, New York, New York.
16Department of Urology, Stanford School of Medicine, Palo Alto, California; Department of Radiology, Stanford School of Medicine, Palo Alto, California.
17Cortechs.ai, San Diego, California.
18Department of Radiology and Biomedical Imaging, University of California San Francisco, San Francisco, California.
19Department of Radiology, University of California San Diego, La Jolla, California; Department of Neurosciences, University of California San Diego, La Jolla, California; Halıcıoğlu Data Science Institute, University of California San Diego, La Jolla, California.
20Department of Radiation Medicine and Applied Sciences, University of California San Diego, La Jolla, California; Department of Radiology, University of California San Diego, La Jolla, California; Department of Bioengineering, University of California San Diego, La Jolla, California; Department of Urology, University of California San Diego, La Jolla, California. Electronic address: tseibert@health.ucsd.edu.
PubMed PMC DOI PDF

Abstract

PURPOSE: Evaluation of artificial intelligence (AI) algorithms for prostate segmentation is challenging because ground truth is lacking. We aimed to: (1) create a reference standard data set with precise prostate contours by expert consensus, and (2) evaluate various AI tools against this standard. METHODS AND MATERIALS: We obtained prostate magnetic resonance imaging cases from six institutions…

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