Can machine learning radiomics provide pre-operative differentiation of combined hepatocellular cholangiocarcinoma from hepatocellular carcinoma and …
Objective To differentiate combined hepatocellular cholangiocarcinoma (cHCC-CC) from
cholangiocarcinoma (CC) and hepatocellular carcinoma (HCC) using machine learning on …
cholangiocarcinoma (CC) and hepatocellular carcinoma (HCC) using machine learning on …
[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 …
cholangiocarcinoma (ICC) are hard to identify in clinical practice preoperatively. This study …
DCE-MRI based radiomics nomogram for preoperatively differentiating combined hepatocellular-cholangiocarcinoma from mass-forming intrahepatic …
Y Zhou, G Zhou, J Zhang, C Xu, F Zhu, P Xu - European radiology, 2022 - Springer
Objective To establish a radiomics nomogram based on dynamic contrast-enhanced (DCE)
MR images to preoperatively differentiate combined hepatocellular-cholangiocarcinoma …
MR images to preoperatively differentiate combined hepatocellular-cholangiocarcinoma …
Novel nomogram for preoperative prediction of early recurrence in intrahepatic cholangiocarcinoma
Introduction: The emerging field of “radiomics” has considerable potential in disease
diagnosis, pathologic grading, prognosis evaluation, and prediction of treatment response …
diagnosis, pathologic grading, prognosis evaluation, and prediction of treatment response …
Radiomics using CT images for preoperative prediction of futile resection in intrahepatic cholangiocarcinoma
H Chu, Z Liu, W Liang, Q Zhou, Y Zhang, K Lei… - European …, 2021 - Springer
Objectives To investigate and compare radiomics and clinical information for preoperative
prediction of futile resection in intrahepatic cholangiocarcinoma (ICC). Methods A total of …
prediction of futile resection in intrahepatic cholangiocarcinoma (ICC). Methods A total of …
Machine‐learning radiomics to predict early recurrence in perihilar cholangiocarcinoma after curative resection
H Qin, X Hu, J Zhang, H Dai, Y He, Z Zhao… - Liver …, 2021 - Wiley Online Library
Background and aims Up to 40%‐65% of patients with perihilar cholangiocarcinoma (PHC)
rapidly progress to early recurrence (ER) even after curative resection. Quantification of ER …
rapidly progress to early recurrence (ER) even after curative resection. Quantification of ER …
Radiomics signature on dynamic contrast-enhanced MR images: a potential imaging biomarker for prediction of microvascular invasion in mass-forming intrahepatic …
Y Zhou, G Zhou, J Zhang, C Xu, X Wang, P Xu - European radiology, 2021 - Springer
Objective To develop a radiomics signature based on dynamic contrast-enhanced (DCE)
MR images for preoperative prediction of microvascular invasion (MVI) in patients with mass …
MR images for preoperative prediction of microvascular invasion (MVI) in patients with mass …
Preoperative prediction for pathological grade of hepatocellular carcinoma via machine learning–based radiomics
B Mao, L Zhang, P Ning, F Ding, F Wu, G Lu, Y Geng… - European …, 2020 - Springer
Objective To investigate the efficacy of contrast-enhanced computed tomography (CECT)–
based radiomics signatures for preoperative prediction of pathological grades of …
based radiomics signatures for preoperative prediction of pathological grades of …
Combined hepatocellular cholangiocarcinoma: LI-RADS v2017 categorisation for differential diagnosis and prognostication on gadoxetic acid-enhanced MR imaging
Objectives To investigate the performance of the Liver Imaging Reporting and Data System
(LI-RADS) v2017 for combined hepatocellular cholangiocarcinoma (cHCC-CCA) in the …
(LI-RADS) v2017 for combined hepatocellular cholangiocarcinoma (cHCC-CCA) in the …
Radiomics model of magnetic resonance imaging for predicting pathological grading and lymph node metastases of extrahepatic cholangiocarcinoma
C Yang, M Huang, S Li, J Chen, Y Yang, N Qin… - Cancer letters, 2020 - Elsevier
The aim of this study was to evaluate diagnostic performance of radiomics models of MRI in
the detection of differentiation degree (DD) and lymph node metastases (LNM) of …
the detection of differentiation degree (DD) and lymph node metastases (LNM) of …
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