A CT-based radiomics classification model for the prediction of histological type and tumour grade in retroperitoneal sarcoma (RADSARC-R): a retrospective multicohort analysis

BACKGROUND: Retroperitoneal sarcomas are tumours with a poor prognosis. Upfront characterisation of the tumour is difficult, and under-grading is common. Radiomics has the potential to non-invasively characterise the so-called radiological phenotype of tumours. We aimed to develop and independently...

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Detalles Bibliográficos
Autores principales: Arthur, Amani, Orton, Matthew R, Emsley, Robby, Vit, Sharon, Kelly-Morland, Christian, Strauss, Dirk, Lunn, Jason, Doran, Simon, Lmalem, Hafida, Nzokirantevye, Axelle, Litiere, Saskia, Bonvalot, Sylvie, Haas, Rick, Gronchi, Alessandro, Van Gestel, Dirk, Ducassou, Anne, Raut, Chandrajit P, Meeus, Pierre, Spalek, Mateusz, Hatton, Matthew, Le Pechoux, Cecile, Thway, Khin, Fisher, Cyril, Jones, Robin, Huang, Paul H, Messiou, Christina
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Lancet Pub. Group 2023
Materias:
Articles
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618402/
https://www.ncbi.nlm.nih.gov/pubmed/37922931
http://dx.doi.org/10.1016/S1470-2045(23)00462-X

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10618402/
https://www.ncbi.nlm.nih.gov/pubmed/37922931
http://dx.doi.org/10.1016/S1470-2045(23)00462-X

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