Machine learning-based radiomics analysis of preoperative functional liver reserve with MRI and CT image

OBJECTIVE: The indocyanine green retention rate at 15 min (ICG-R15) is a useful tool to evaluate the functional liver reserve before hepatectomy for liver cancer. Taking ICG-R15 as criteria, we investigated the ability of a machine learning (ML)-based radiomics model produced by Gd-EOB-DTPA-enhanced...

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Detalles Bibliográficos
Autores principales: Zhu, Ling, Wang, Feifei, Chen, Xue, Dong, Qian, Xia, Nan, Chen, Jingjing, Li, Zheng, Zhu, Chengzhan
Formato: Online Artículo Texto
Lenguaje:English
Publicado: BioMed Central 2023
Materias:
Research
Acceso en línea:https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353100/
https://www.ncbi.nlm.nih.gov/pubmed/37460944
http://dx.doi.org/10.1186/s12880-023-01050-1

Internet

https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10353100/
https://www.ncbi.nlm.nih.gov/pubmed/37460944
http://dx.doi.org/10.1186/s12880-023-01050-1

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