Histology-Based Radiomics for [

[18F]FDG PET immunohistochemistry machine learning pancreatic cancer tumor metabolism

Journal

Journal of nuclear medicine : official publication, Society of Nuclear Medicine
ISSN: 1535-5667
Titre abrégé: J Nucl Med
Pays: United States
ID NLM: 0217410

Informations de publication

Date de publication:
23 May 2024
Historique:
received: 01 07 2023
revised: 22 04 2024
medline: 24 5 2024
pubmed: 24 5 2024
entrez: 23 5 2024
Statut: aheadofprint

Résumé

Radiomics features can reveal hidden patterns in a tumor but usually lack an underlying biologic rationale. In this work, we aimed to investigate whether there is a correlation between radiomics features extracted from [

Identifiants

DOI: 10.2967/jnumed.123.266262 PMID: 38782455
pubmed: 38782455
pii: jnumed.123.266262
doi: 10.2967/jnumed.123.266262
pii:
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Informations de copyright

© 2024 by the Society of Nuclear Medicine and Molecular Imaging.

Auteurs

Esther M M Smeets (EMM)

Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.

Marija Trajkovic-Arsic (M)

German Cancer Consortium, partner site Essen, a partnership between DKFZ and University Hospital Essen, Essen, Germany.
Bridge Institute of Experimental Tumor Therapy and Division of Solid Tumor Translational Oncology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.

Daan Geijs (D)

Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.

Sinan Karakaya (S)

German Cancer Consortium, partner site Essen, a partnership between DKFZ and University Hospital Essen, Essen, Germany.
Bridge Institute of Experimental Tumor Therapy and Division of Solid Tumor Translational Oncology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.

Monica van Zanten (M)

Department of Pathology, Canisius Wilhelmina Ziekenhuis, Nijmegen, The Netherlands.

Lodewijk A A Brosens (LAA)

Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.

Benedikt Feuerecker (B)

Department of Nuclear Medicine, School of Medicine, Technical University of Munich, Munich, Germany.
Department of Radiology, School of Medicine, Technical University of Munich, Munich, Germany.
German Cancer Consortium, partner site Munich, a partnership between DKFZ and Technical University of Munich, Munich, Germany.
Department of Radiology, Ludwig Maximilians University, Munich, Germany; and.

Martin Gotthardt (M)

Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands.

Jens T Siveke (JT)

German Cancer Consortium, partner site Essen, a partnership between DKFZ and University Hospital Essen, Essen, Germany.
Bridge Institute of Experimental Tumor Therapy and Division of Solid Tumor Translational Oncology, West German Cancer Center, University Hospital Essen, University of Duisburg-Essen, Essen, Germany.
National Center for Tumor Diseases West, Campus Essen, Essen, Germany.

Rickmer Braren (R)

Department of Radiology, School of Medicine, Technical University of Munich, Munich, Germany.

Francesco Ciompi (F)

Department of Pathology, Radboud University Medical Center, Nijmegen, The Netherlands.

Erik H J G Aarntzen (EHJG)

Department of Medical Imaging, Radboud University Medical Center, Nijmegen, The Netherlands; erik.aarntzen@radboudumc.nl.

Classifications MeSH