Characterization of Mediastinal Bulky Lymphomas with FDG-PET-Based Radiomics and Machine Learning Te...
Characterization of Mediastinal Bulky Lymphomas with FDG-PET-Based Radiomics and Machine Learning Techniques
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Author / Creator
Abenavoli, Elisabetta Maria , Barbetti, Matteo , Linguanti, Flavia , Mungai, Francesco , Nassi, Luca , Puccini, Benedetta , Romano, Ilaria , Sordi, Benedetta , Santi, Raffaella , Passeri, Alessandro , Sciagrà, Roberto , Talamonti, Cinzia , Cistaro, Angelina , Vannucchi, Alessandro Maria and Berti, Valentina
Publisher
Switzerland: MDPI AG
Journal title
Language
English
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Publication information
Publisher
Switzerland: MDPI AG
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Scope and Contents
Contents
This study tested the diagnostic value of 18F-FDG PET/CT (FDG-PET) volumetric and texture parameters in the histological differentiation of mediastinal bulky disease due to classical Hodgkin lymphoma (cHL), primary mediastinal B-cell lymphoma (PMBCL) and grey zone lymphoma (GZL), using machine learning techniques.
We reviewed 80 cHL, 29 PMBCL an...
Alternative Titles
Full title
Characterization of Mediastinal Bulky Lymphomas with FDG-PET-Based Radiomics and Machine Learning Techniques
Authors, Artists and Contributors
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Primary Identifiers
Record Identifier
TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10093023
Permalink
https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_pubmedcentral_primary_oai_pubmedcentral_nih_gov_10093023
Other Identifiers
ISSN
2072-6694
E-ISSN
2072-6694
DOI
10.3390/cancers15071931
