Prediction of pituitary adenoma surgical consistency: radiomic data mining and machine learning on T2-weighted MRI

PURPOSE: Pituitary macroadenoma consistency can influence the ease of lesion removal during surgery, especially when using a transsphenoidal approach. Unfortunately, it is not assessable on standard qualitative MRI. Radiomic texture analysis could help in extracting mineable quantitative tissue char...

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Detalles Bibliográficos
Autores principales: Cuocolo, Renato, Ugga, Lorenzo, Solari, Domenico, Corvino, Sergio, D’Amico, Alessandra, Russo, Daniela, Cappabianca, Paolo, Cavallo, Luigi Maria, Elefante, Andrea
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Springer Berlin Heidelberg 2020
Materias:
Diagnostic Neuroradiology
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666676/
https://www.ncbi.nlm.nih.gov/pubmed/32705290
http://dx.doi.org/10.1007/s00234-020-02502-z

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC7666676/
https://www.ncbi.nlm.nih.gov/pubmed/32705290
http://dx.doi.org/10.1007/s00234-020-02502-z

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