Characterization of Mediastinal Bulky Lymphomas with FDG-PET-Based Radiomics and Machine Learning Techniques

SIMPLE SUMMARY: This manuscript aims to address the diagnostic challenges of mediastinal bulky lymphomas with the baseline value of 18F-FDG PET/CT metabolic, volumetric and texture parameters, also relying on machine learning techniques, in patients with grey zone lymphoma, primary diffuse large B-c...

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Detalles Bibliográficos
Autores principales: 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, Berti, Valentina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093023/
https://www.ncbi.nlm.nih.gov/pubmed/37046592
http://dx.doi.org/10.3390/cancers15071931

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10093023/
https://www.ncbi.nlm.nih.gov/pubmed/37046592
http://dx.doi.org/10.3390/cancers15071931

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