Pseudoprogression prediction in high grade primary CNS tumors by use of radiomics

Our aim is to define the capabilities of radiomics and machine learning in predicting pseudoprogression development from pre-treatment MR images in a patient cohort diagnosed with high grade gliomas. In this retrospective analysis, we analysed 131 patients with high grade gliomas. Segmentation of th...

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Detalles Bibliográficos
Autores principales: Ari, Asena Petek, Akkurt, Burak Han, Musigmann, Manfred, Mammadov, Orkhan, Blömer, David A., Kasap, Dilek N. G., Henssen, Dylan J. H. A., Nacul, Nabila Gala, Sartoretti, Elisabeth, Sartoretti, Thomas, Backhaus, Philipp, Thomas, Christian, Stummer, Walter, Heindel, Walter, Mannil, Manoj
Formato: Online Artículo Texto
Lenguaje:English
Publicado: Nature Publishing Group UK 2022
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993885/
https://www.ncbi.nlm.nih.gov/pubmed/35396525
http://dx.doi.org/10.1038/s41598-022-09945-9

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC8993885/
https://www.ncbi.nlm.nih.gov/pubmed/35396525
http://dx.doi.org/10.1038/s41598-022-09945-9

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