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  • / <span>A convolutional neural network model using intraprostatic patterns of [F18]DCFPyL uptake in PSMA PET images to predict synchronous metastases.</span>

A convolutional neural network model using intraprostatic patterns of [F18]DCFPyL uptake in PSMA PET images to predict synchronous metastases.

Abstract Poster

Authors

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Jesus Eduardo Juarez

Department of Radiation Oncology, University of California, Los Angeles, Los Angeles, CA

Jesus Eduardo Juarez , Cecil Mayra Benitez , Kamil Rzechowski , Karl Sjöstrand , Aseem Anand , Ida Sonni , Gholam Reza Berenji , Sai Duriseti , Matthew Rettig , Nicholas George Nickols

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Poster Details

Meeting

2024 ASCO Genitourinary Cancers Symposium

Session Type

Poster Session

Session Title

Poster Session A: Prostate Cancer

Track

Prostate Cancer - Advanced,Prostate Cancer - Localized

Sub Track

Diagnostics and Imaging

Citation

J Clin Oncol 42, 2024 (suppl 4; abstr 46)

DOI

10.1200/JCO.2024.42.4_suppl.46

Abstract #

46

Poster Bd #

B3

Abstract Disclosures

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