MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor of the extremities

PURPOSE: To determine diagnostic performance of MRI radiomics-based machine learning for classification of deep-seated lipoma and atypical lipomatous tumor (ALT) of the extremities. MATERIAL AND METHODS: This retrospective study was performed at three tertiary sarcoma centers and included 150 patien...

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Detalles Bibliográficos
Autores principales: Gitto, Salvatore, Interlenghi, Matteo, Cuocolo, Renato, Salvatore, Christian, Giannetta, Vincenzo, Badalyan, Julietta, Gallazzi, Enrico, Spinelli, Maria Silvia, Gallazzi, Mauro, Serpi, Francesca, Messina, Carmelo, Albano, Domenico, Annovazzi, Alessio, Anelli, Vincenzo, Baldi, Jacopo, Aliprandi, Alberto, Armiraglio, Elisabetta, Parafioriti, Antonina, Daolio, Primo Andrea, Luzzati, Alessandro, Biagini, Roberto, Castiglioni, Isabella, Sconfienza, Luca Maria
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Milan 2023
Materias:
Musculoskeletal Radiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338387/
https://www.ncbi.nlm.nih.gov/pubmed/37335422
http://dx.doi.org/10.1007/s11547-023-01657-y

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10338387/
https://www.ncbi.nlm.nih.gov/pubmed/37335422
http://dx.doi.org/10.1007/s11547-023-01657-y

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