CareLit Fachartikel

[18F]FDG PET/CT Imaging and Hematological Parameters Can Help Predict HPV Status in Head and Neck Cancer

Paulina Cegla, Geoffrey Currie, Joanna P Wroblewska, Joanna Kazmierska, Witold Cholewinski, Inga Jagiello, Krzysztof Matuszewski, Andrzej Marszalek, Anna Kubiak, Pawel Golusinski, Wojciech Golusinski, Ewa Majchrzak · Nuklearmedizin - NuclearMedicine · 2025 · Heft 01 · S. 22-31

Dokument
933568
CareLit-ID
Jahr
2025
Publikation
PDF
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Metadaten
DOI
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Bibliografische Angaben

Zeitschrift
Nuklearmedizin - NuclearMedicine
Autor:innen
Paulina Cegla, Geoffrey Currie, Joanna P Wroblewska, Joanna Kazmierska, Witold Cholewinski, Inga Jagiello, Krzysztof Matuszewski, Andrzej Marszalek, Anna Kubiak, Pawel Golusinski, Wojciech Golusinski, Ewa Majchrzak
Ausgabe
Heft 01 / 2025
Jahrgang 64
Seiten
22-31
Erschienen: 2025-03-01 00:00:00
ISSN
0029-5566
DOI
10.1055/a-2365-7808

Zusammenfassung

Abstract Objective To determine whether [18F]FDG PET/CT and hematological parameters provide supportive data to determine HPV status in HNSCC patients. Methods Retrospective analysis of clinical and diagnostic data from 106 patients with HNSCC: 26.4% HPV-positive and 73.6% HPV-negative was performed. The following semiquantitative PET/CT parameters for the primary tumor and hottest lymph node and liver were evaluated: SUVmax, SUVmean, TotalSUV, MTV, TLG, maximum, mean and TLG tumor-to-liver ratio (TLRmax, TLRmean,TLRTLG) and heterogeneity index (HI). Following hematological variables were assessed: white blood c…

Schlagworte

positron emission tomography/computed tomography head and neck cancer HPV artificial intelligence machine learning Nuklearmedizin - NuclearMedicine