Associations between radiomic phenotypes and genomic mechanisms in HBV-associated cholangiocarcinoma.

Y Jia, M Wan, Y Shen, J Ruan - 2024 - ascopubs.org
e16249 Background: Despite the epidemiological association between cholangiocarcinoma
(CCA) and HBV infection, little is known about the relevant oncogenic biomarkers for …

Integrating pathomics and radiomics for predicting survival among patients with intrahepatic cholangiocarcinoma undergoing surgical resection.

M Wan, Y Shen, N Xu, J Ruan - 2024 - ascopubs.org
e16255 Background: Intrahepatic cholangiocarcinoma (ICC) is characterized by a high
degree of malignancy and poor prognosis. Surgical resection remains the primary curative …

Artificial intelligence CT radiomics to predict early recurrence of intrahepatic cholangiocarcinoma: a multicenter study

Y Song, G Zhou, Y Zhou, Y Xu, J Zhang, K Zhang… - Hepatology …, 2023 - Springer
Objectives In this multicenter study, we sought to develop and validate a preoperative model
for predicting early recurrence (ER) risk after curative resection of intrahepatic …

Molecular and radiopathologic spectrum between HCC and intrahepatic cholangiocarcinoma

Y Jeon, SM Kwon, H Rhee, JE Yoo, T Chung… - Hepatology, 2023 - journals.lww.com
Molecular and radiopathologic spectrum between HCC and intra... : Hepatology Molecular
and radiopathologic spectrum between HCC and intrahepatic cholangiocarcinoma …

A Biology-Driven Radiomics Model for Unresectable Intrahepatic Cholangiocarcinoma Treated with Radiotherapy

B De, M Zaid, K Sun, A Van Wieren… - International Journal of …, 2022 - redjournal.org
Purpose/Objective (s) For unresectable intrahepatic cholangiocarcinoma (ICC), we
previously showed that pre-therapy CT volumetric enhancement (VE) associates with …

Machine learning radiomics to predict the early recurrence of intrahepatic cholangiocarcinoma after curative resection: A multicentre cohort study

Z Bo, B Chen, Y Yang, F Yao, Y Mao, J Yao… - European Journal of …, 2023 - Springer
Purpose Postoperative early recurrence (ER) leads to a poor prognosis for intrahepatic
cholangiocarcinoma (ICC). We aimed to develop machine learning (ML) radiomics models …

[HTML][HTML] Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma

Y Tang, CM Yang, S Su, WJ Wang, LP Fan, J Shu - BMC cancer, 2021 - Springer
Background Radiomics may provide more objective and accurate predictions for
extrahepatic cholangiocarcinoma (ECC). In this study, we developed radiomics models …

Can machine learning radiomics provide pre-operative differentiation of combined hepatocellular cholangiocarcinoma from hepatocellular carcinoma and …

X Liu, F Khalvati, K Namdar, S Fischer, S Lewis… - European …, 2021 - Springer
Objective To differentiate combined hepatocellular cholangiocarcinoma (cHCC-CC) from
cholangiocarcinoma (CC) and hepatocellular carcinoma (HCC) using machine learning on …

An Mri-Based Machine-Learning Radiomics Approach for Preoperative Evaluation of Lymph Node Metastasis in Hilar Cholangiocarcinoma

H Zhang, S Liu, G Shi, Q Yan, X Yu, Q Tang… - Available at SSRN … - papers.ssrn.com
Background: Synchronous lymph node metastasis (LNM) affects therapeutic regimes and
prognosis for hilar cholangiocarcinoma (hCCA), which is evaluated by conventional imaging …

[HTML][HTML] Differentiation combined hepatocellular and cholangiocarcinoma from intrahepatic cholangiocarcinoma based on radiomics machine learning

J Zhang, Z Huang, L Cao, Z Zhang, Y Wei… - Annals of …, 2020 - ncbi.nlm.nih.gov
Background Combined hepatocellular and cholangiocarcinoma (CHC) and intrahepatic
cholangiocarcinoma (ICC) are hard to identify in clinical practice preoperatively. This study …