Development and External Validation of a PET Radiomic Model for Prognostication of Head and Neck Cancer.

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Abstract

To build and externally validate an [18F]FDG PET radiomic model to predict overall survival in patients with head and neck squamous cell carcinoma (HNSCC).

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Author and article information

Journal

Journal ID (iso-abbrev): Cancers (Basel)

Title: Cancers

Publisher: MDPI AG

ISSN: 2072-6694

ISSN (Print): 2072-6694

Publication date (Electronic): May 09 2023

Volume: 15

Issue: 10

Affiliations

[1 ] Section of Nuclear Medicine, Department of Radiology, Leiden University Medical Center, 2333 ZA Leiden, The Netherlands.

[2 ] TechMed Centre, University of Twente, 7522 NB Enschede, The Netherlands.

[3 ] Nuclear Medicine Department, Centre Hospitalier Universitaire de Caen, 14000 Caen, France.

[4 ] Technical Medicine, Delft University of Technology, 2628 CD Delft, The Netherlands.

[5 ] Amsterdam University Medical Center, 1081 HV Amsterdam, The Netherlands.

[6 ] Department of Biomedical Data Sciences, Leiden University Medical Center, 2300 RC Leiden, The Netherlands.

[7 ] Nuclear Medicine and Molecular Imaging, Department of Imaging & Pathology, University Hospitals Leuven, KU Leuven, 3000 Leuven, Belgium.

[8 ] Department of Medical Oncology, Institut Roi Albert II, Cliniques Universitaires Saint-Luc, 1200 Brussels, Belgium.

[9 ] Institute for Experimental and Clinical Research (IREC, pôle MIRO), Université Catholique de Louvain (UCLouvain), 1200 Brussels, Belgium.

[10 ] Department of Head and Neck Medical Oncology, Fondazione IRCCS Istituto Nazionale dei Tumori, University of Milan, 20133 Milan, Italy.

[11 ] Division of Nuclear Medicine, Institut de Recherche Clinique, Cliniques Universitaires Saint Luc, 1200 Brussels, Belgium.

[12 ] Department of Nuclear Medicine-PET Unit, Fondazione IRCCS Istituto Nazionale dei Tumori, 20133 Milan, Italy.

[13 ] Nuclear Medicine Department, Institut Jules Bordet, Université Libre de Bruxelles (ULB), Hôpital Universitaire de Bruxelles (H.U.B.), 1070 Bruxelles, Belgium.

[14 ] Department of Drug Development and Innovation, Institut Curie, Paris-Saclay University, 75005 Paris, France.

[15 ] Epidemiology and Biostatistics Department, Centre Antoine Lacassagne, University Côte d'Azur, 06100 Nice, France.

[16 ] Department of Head and Neck Surgery Gustave Roussy, 94805 Villejuif, France.

[17 ] Department of Medical Oncology, IUCT-Oncopole, 31100 Toulouse, France.

[18 ] Department of Radiation Science & Technology, Delft University of Technology, 2628 CD Delft, The Netherlands.

Article

Publisher Item ID: cancers15102681

DOI: 10.3390/cancers15102681

PMC ID: 10216021

PubMed ID: 37345017

SO-VID: c4fcd7e9-58a2-4a07-b11b-f478e05633d5

History

Keywords: machine learning,overall survival,radiomics,head and neck squamous cell carcinoma,afatinib,[18F]FDG PET/CT

Data availability:

Keywords: machine learning, overall survival, radiomics, head and neck squamous cell carcinoma, afatinib, [18F]FDG PET/CT

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