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An artificial intelligence method using 18F-FDG PET maximum intensity projections to predict 2-year time-to-progression in diffuse large B-cell lymphoma patients

2023-04-07

Abstract excerpt

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 18 F-fluorodeoxyglucose ( 18 F-FDG) positron emission tomography (PET) baseline scans to predict the probability of time-to-progression (TTP) within 2 years and compare it with the Intern...

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Literature Corpus work
1975d42a-3caa-568e-bd31-2bc24c0476de
DOI
10.21203/rs.3.rs-2761494/v1
Open publication

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An artificial intelligence method using 18F-FDG PET maximum intensity projections to predict 2-year time-to-progression in diffuse large B-cell lymphoma patientsDOI 10.21203/rs.3.rs-2761494/v1
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