Context-level machine learning to improve the identification of lymph node and bone metastases in prostate cancer patients using [18F]PSMA-1007 PET

We successfully developed models to accurately identify lymph node and bone metastases. We underscored the potential of leveraging contextual information in machine learning methods to improve the identification of lymph node and bone metastases.

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Publication Details

Journal
EJNMMI Physics
Published
2025-12-22
DOI
https://doi.org/10.1186/s40658-025-00812-w
Primary Topic
Prostate Cancer Treatment and Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Context-level machine learning to improve the identification of lymph node and bone metastases in prostate cancer patients using [18F]PSMA-1007 PET

J.D. van Dijk, Henk Stevens, J A Van Dalen, Remco Poelarends et al.
EJNMMI Physics
Prostate Cancer Treatment and Research
article

Context-level machine learning to improve the identification of lymph node and bone metastases in prostate cancer patients using [18F]PSMA-1007 PET

J.D. van Dijk, Henk Stevens, J A Van Dalen, Remco Poelarends, Brian N. Vendel
article en

Abstract

We successfully developed models to accurately identify lymph node and bone metastases. We underscored the potential of leveraging contextual information in machine learning methods to improve the identification of lymph node and bone metastases.

EJNMMI PhysicsVol. 12(1)
Isala (NL)
Quality Education
Openalex Percentile: Top 29%
Prostate Cancer Treatment and Research
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Context-level machine learning to improve the identification of lymph node and bone metastases in prostate cancer patients using [18F]PSMA-1007 PET — J.D. van Dijk, Henk Stevens, et al. · EJNMMI Physics (2025) | TGRS Research Map | TGRS