A Multidimensional Connectomics- and Radiomics-Based Advanced Machine-Learning Framework to Distinguish Radiation Necrosis from True Progression in Brain Metastases

SIMPLE SUMMARY: Diagnosing true progression (TP) versus radiation necrosis (RN) in brain metastases treated with stereotactic radiosurgery is a significant clinical challenge that can lead to delays of care or unnecessary neurosurgical procedures. We implemented a novel machine-learning framework th...

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Detalles Bibliográficos
Autores principales: Cao, Yilin, Parekh, Vishwa S., Lee, Emerson, Chen, Xuguang, Redmond, Kristin J., Pillai, Jay J., Peng, Luke, Jacobs, Michael A., Kleinberg, Lawrence R.
Formato: Online Artículo Texto
Lenguaje:English
Publicado: MDPI 2023
Materias:
Article
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452423/
https://www.ncbi.nlm.nih.gov/pubmed/37627141
http://dx.doi.org/10.3390/cancers15164113

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10452423/
https://www.ncbi.nlm.nih.gov/pubmed/37627141
http://dx.doi.org/10.3390/cancers15164113

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