Predictive factors of microvascular invasion in patients with intrahepatic mass-forming cholangiocarcinoma based on magnetic resonance images.

Shuang ChenLijuan WanRui ZhaoWenjing PengZhuo LiShuangmei ZouHong-Mei Zhang

Published in: Abdominal radiology (New York) (2023)

A nomogram constructed using independent factors, namely the presence of multiple tumours, ill-defined margins, and CA 19-9 > 37 U/ml could predict the presence of MVI. This can facilitate personalised therapeutic strategy and clinical management in patients with IMCC.

Keyphrases

magnetic resonance
deep learning
wastewater treatment
cell migration
convolutional neural network
lymph node metastasis
optical coherence tomography
contrast enhanced
squamous cell carcinoma
machine learning
protein kinase