Association of radiomic imaging features and gene expression profile as prognostic factors in pancreatic ductal adenocarcinoma

In this study, we investigated whether radiomic features of CT image data can accurately predict HMGA2 and C-MYC gene expression status and identify the patient survival time using a machine learning approach in pancreatic ductal adenocarcinoma (PDAC). A cohort of 111 patients with PDAC was enrolled...

Täydet tiedot

Tallennettuna:
Bibliografiset tiedot
Julkaisussa:Am J Transl Res
Päätekijät: Li, Ke, Xiao, Jingjing, Yang, Jiali, Li, Meng, Xiong, Xuanqi, Nian, Yongjian, Qiao, Linbo, Wang, Huaizhi, Eresen, Aydin, Zhang, Zhuoli, Hu, Xianling, Wang, Jian, Chen, Wei
Aineistotyyppi: Artigo
Kieli:Inglês
Julkaistu: e-Century Publishing Corporation 2019
Aiheet:
Original Article
Linkit:https://ncbi.nlm.nih.gov/pmc/articles/PMC6684898/
https://ncbi.nlm.nih.gov/pubmed/31396352
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