To accurately predict lymph node metastasis in patients with mass-forming intrahepatic cholangiocarcinoma by using CT radiomics features of tumor habitat subregions

To accurately predict lymph node metastasis in patients with mass-forming intrahepatic cholangiocarcinoma by using CT radiomics features of tumor habitat subregions

Abstract Background This study aims to introduce the concept of habitat subregions and construct an accurate prediction model by analyzing refined medical images, to predict lymph node metastasis (LNM) in patients with intrahepatic cholangiocarcinoma (ICC) before surgery, and to provide personalized...

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Bibliographic Details
Main Authors: Pengyu Chen, Zhenwei Yang, Peigang Ning, Hao Yuan, Zuochao Qi, Qingshan Li, Bo Meng, Xianzhou Zhang, Haibo Yu
Format: Article
Language:English
Published: BMC 2025-02-01
Series:Cancer Imaging
Subjects:
Intrahepatic cholangiocarcinoma
Radiomics
Lymph node metastasis
Tumor habitat subregions
Machine learning
Online Access:https://doi.org/10.1186/s40644-025-00842-8
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https://doi.org/10.1186/s40644-025-00842-8

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