An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients

An artificial intelligence method using FDG PET to predict treatment outcome in diffuse large B cell lymphoma patients

Abstract Convolutional neural networks (CNNs) may improve response prediction in diffuse large B-cell lymphoma (DLBCL). The aim of this study was to investigate the feasibility of a CNN using maximum intensity projection (MIP) images from 18F-fluorodeoxyglucose (18F-FDG) positron emission tomography...

Full description

Bibliographic Details
Main Authors: Maria C. Ferrández, Sandeep S. V. Golla, Jakoba J. Eertink, Bart M. de Vries, Pieternella J. Lugtenburg, Sanne E. Wiegers, Gerben J. C. Zwezerijnen, Simone Pieplenbosch, Lars Kurch, Andreas Hüttmann, Christine Hanoun, Ulrich Dührsen, Henrica C. W. de Vet, PETRA, Josée M. Zijlstra, Ronald Boellaard
Format: Article
Language:English
Published: Nature Portfolio 2023-08-01
Series:Scientific Reports
Online Access:https://doi.org/10.1038/s41598-023-40218-1

Internet

https://doi.org/10.1038/s41598-023-40218-1

Similar Items