A nomogram based on bi-regional radiomics features from multimodal magnetic resonance imaging for preoperative prediction of microvascular invasion in hepatocellular carcinoma

BACKGROUND: We aimed to develop and validate a nomogram combining bi-regional radiomics features from multimodal magnetic resonance imaging (MRI) and clinicoradiological characteristics to preoperatively predict microvascular invasion (MVI) of hepatocellular carcinoma (HCC). METHODS: A total of 267...

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Detalhes bibliográficos
Publicado no:Quant Imaging Med Surg
Main Authors: Zhang, Rui, Xu, Lei, Wen, Xue, Zhang, Jiahui, Yang, Pengfei, Zhang, Lixia, Xue, Xing, Wang, Xiaoli, Huang, Qiang, Guo, Chuangen, Shi, Yanjun, Niu, Tianye, Chen, Feng
Formato: Artigo
Idioma:Inglês
Publicado em: AME Publishing Company 2019
Assuntos:
Original Article
Acesso em linha:https://ncbi.nlm.nih.gov/pmc/articles/PMC6785502/
https://ncbi.nlm.nih.gov/pubmed/31667137
https://ncbi.nlm.nih.govhttp://dx.doi.org/10.21037/qims.2019.09.07
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