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...

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主要な著者:	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
フォーマット:	Artigo
言語:	Inglês
出版事項:	Nature Portfolio 2023-08-01
シリーズ:	Scientific Reports
オンライン･アクセス:	https://doi.org/10.1038/s41598-023-40218-1
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