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

Crossref DOI link: https://doi.org/10.1007/s11547-023-01657-y

Published Online: 2023-06-19

Update policy: https://doi.org/10.1007/springer_crossmark_policy

Authors

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 http://orcid.org/0000-0003-0759-8431
Funding

Funding for this research was provided by:

International Skeletal Society (Early Career Grant)

Fondazione AIRC per la Ricerca sul Cancro (Investigator Grant)

Università degli Studi di Milano
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Article History

Received: 15 March 2023

Accepted: 26 May 2023

First Online: 19 June 2023

Declarations

:

: The authors declare that they have no conflicts of interest related to this work.

: Institutional Review Board approved this multi-center retrospective study (protocol name: “AI TUMORI MSK”) and waived the need for informed consent. All procedures performed in studies involving human participants were in accordance with the ethical standards of the institutional and/or national research committee and with the 1964 Helsinki declaration and its later amendments or comparable ethical standards.

: This article does not contain any studies with human participants or animals performed by any of the authors.

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