QR-Code

Prediction of Non-Response to Neoadjuvant Chemoradiotherapy in Esophageal Cancer Patients with <sup>18</sup>F-FDG PET Radiomics Based Machine Learning Classification

Background: Approximately 26% of esophageal cancer (EC) patients do not respond to neoadjuvant chemoradiotherapy (nCRT), emphasizing the need for pre-treatment selection. The aim of this study was to predict non-response using a radiomic model on baseline <sup>18</sup>F-FDG PET. Methods: Retrospecti...

Ausführliche Beschreibung

Gespeichert in:
Bibliografische Detailangaben
Hauptverfasser: Roelof J. Beukinga, Floris B. Poelmann, Gursah Kats-Ugurlu, Alain R. Viddeleer, Ronald Boellaard, Robbert J. De Haas, John Th. M. Plukker, Jan Binne Hulshoff
Format: Artigo
Sprache:Inglês
Veröffentlicht: MDPI AG 2022-04-01
Schriftenreihe:Diagnostics
Schlagworte:
Online-Zugang:https://www.mdpi.com/2075-4418/12/5/1070
Tags: Tag hinzufügen
Keine Tags, Fügen Sie das erste Tag hinzu!