Machine learning assisted DSC-MRI radiomics as a tool for glioma classification by grade and mutation status

BACKGROUND: Combining MRI techniques with machine learning methodology is rapidly gaining attention as a promising method for staging of brain gliomas. This study assesses the diagnostic value of such a framework applied to dynamic susceptibility contrast (DSC)-MRI in classifying treatment-naïve gli...

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Detalles Bibliográficos
Autores principales: Sudre, Carole H., Panovska-Griffiths, Jasmina, Sanverdi, Eser, Brandner, Sebastian, Katsaros, Vasileios K., Stranjalis, George, Pizzini, Francesca B., Ghimenton, Claudio, Surlan-Popovic, Katarina, Avsenik, Jernej, Spampinato, Maria Vittoria, Nigro, Mario, Chatterjee, Arindam R., Attye, Arnaud, Grand, Sylvie, Krainik, Alexandre, Anzalone, Nicoletta, Conte, Gian Marco, Romeo, Valeria, Ugga, Lorenzo, Elefante, Andrea, Ciceri, Elisa Francesca, Guadagno, Elia, Kapsalaki, Eftychia, Roettger, Diana, Gonzalez, Javier, Boutelier, Timothé, Cardoso, M. Jorge, Bisdas, Sotirios
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2020
Materias:
Research Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336404/
https://www.ncbi.nlm.nih.gov/pubmed/32631306
http://dx.doi.org/10.1186/s12911-020-01163-5

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7336404/
https://www.ncbi.nlm.nih.gov/pubmed/32631306
http://dx.doi.org/10.1186/s12911-020-01163-5

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