AIMC Topic: Cholangiocarcinoma

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A Deep Learning Workflow for Mass-Forming Intrahepatic Cholangiocarcinoma and Hepatocellular Carcinoma Classification Based on MRI.

Current oncology (Toronto, Ont.) Dec 30, 2022
OBJECTIVE: Precise classification of mass-forming intrahepatic cholangiocarcinoma (MF-ICC) and hepatocellular carcinoma (HCC) based on magnetic resonance imaging (MRI) is crucial for personalized treatment strategy. The purpose of the present study w...
Humans Sensitivity and Specificity Deep Learning Workflow Bile Duct Neoplasms Cholangiocarcinoma Bile Ducts, Intrahepatic Liver Neoplasms Carcinoma, Hepatocellular Magnetic Resonance Imaging
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CT-based deep learning enables early postoperative recurrence prediction for intrahepatic cholangiocarcinoma.

Scientific reports May 19, 2022
Preoperatively accurate evaluation of risk for early postoperative recurrence contributes to maximizing the therapeutic success for intrahepatic cholangiocarcinoma (iCCA) patients. This study aimed to investigate the potential of deep learning (DL) a...
Bile Duct Neoplasms Humans Cholangiocarcinoma Bile Ducts, Intrahepatic Retrospective Studies Tomography, X-Ray Computed Deep Learning
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Robot-Assisted Liver Resection and Cholecystectomy Using Indocyanine-Green for Intrahepatic Cholangiocarcinoma, in a Very Rare Anatomical Anomaly of 'Bipartite Liver'.

Surgical innovation Mar 20, 2022
Robotic hepatobiliary surgery has significantly developed worldwide with substantial clinical results. Hepatobiliary anatomical anomalies increase the complexity of hepatobiliary resection with a relevant risk of iatrogenic lesions. Among congenital ...
Robotics Indocyanine Green Hepatectomy Humans Liver Cholecystectomy Bile Duct Neoplasms Cholangiocarcinoma Bile Ducts, Intrahepatic
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Development and validation of a gradient boosting machine to predict prognosis after liver resection for intrahepatic cholangiocarcinoma.

BMC cancer Mar 11, 2022
BACKGROUND: Accurate prognosis assessment is essential for surgically resected intrahepatic cholangiocarcinoma (ICC) while published prognostic tools are limited by modest performance. We therefore aimed to establish a novel model to predict survival...
Humans Machine Learning Retrospective Studies Bile Duct Neoplasms Middle Aged Cholangiocarcinoma Risk Assessment Hepatectomy Female Aged Male
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A Multiparametric Fusion Deep Learning Model Based on DCE-MRI for Preoperative Prediction of Microvascular Invasion in Intrahepatic Cholangiocarcinoma.

Journal of magnetic resonance imaging : JMRI Feb 22, 2022
BACKGROUND: Assessment of microvascular invasion (MVI) in intrahepatic cholangiocarcinoma (ICC) by using a noninvasive method is an unresolved issue. Deep learning (DL) methods based on multiparametric fusion of MR images have the potential of preope...
Bile Duct Neoplasms Cholangiocarcinoma Bile Ducts, Intrahepatic Male Deep Learning Magnetic Resonance Imaging Female Humans Sensitivity and Specificity Retrospective Studies
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Editorial for "A Multi-Modality Fusion Deep Learning Model Based on DCE-MRI for Preoperative Prediction of Microvascular Invasion in Intrahepatic Cholangiocarcinoma".

Journal of magnetic resonance imaging : JMRI Feb 21, 2022
Bile Ducts, Intrahepatic Humans Retrospective Studies Deep Learning Magnetic Resonance Imaging Bile Duct Neoplasms Cholangiocarcinoma
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ASO Author Reflections: Mini-Invasive Hilar Cholangiocarcinoma Resection: Could Robots Be the Key?

Annals of surgical oncology Jan 10, 2022
Robotics Bile Duct Neoplasms Cholangiocarcinoma Klatskin Tumor Humans Bile Ducts, Intrahepatic
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Robotic Left Hepatectomy Extended to Caudate Lobe and Common Biliary Duct for Hilar Cholangiocarcinoma.

Annals of surgical oncology Jan 7, 2022
BACKGROUND: The safety and efficiency of minimally invasive approaches for liver resection have been confirmed (Wakabayashi in Ann Surg, 2015). However, laparoscopy suffers from several limitations due to technical difficulties, particularly for diff...
Humans Bile Duct Neoplasms Cholangiocarcinoma Klatskin Tumor Robotics Female Robotic Surgical Procedures Middle Aged Hepatectomy Liver
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Machine learning-based Radiomics analysis for differentiation degree and lymphatic node metastasis of extrahepatic cholangiocarcinoma.

BMC cancer Nov 24, 2021
BACKGROUND: Radiomics may provide more objective and accurate predictions for extrahepatic cholangiocarcinoma (ECC). In this study, we developed radiomics models based on magnetic resonance imaging (MRI) and machine learning to preoperatively predict...
Bile Duct Neoplasms Aged, 80 and over Cholangiocarcinoma Adult Humans Predictive Value of Tests Sensitivity and Specificity Machine Learning Area Under Curve Adenocarcinoma Algorithms Retrospective Studies Neoplasm Grading Lymphatic Metastasis Female Magnetic Resonance Imaging Aged Male Middle Aged ROC Curve
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Robotic hepatectomy and biliary reconstruction for perihilar cholangiocarcinoma: a pioneer western case series.

Updates in surgery Apr 16, 2021
Open surgery is the standard of care for perihilar cholangiocarcinoma (pCCA). With the aim of oncologic radicality, it requires a complex major hepatectomy with biliary reconstruction. The postoperative course is consequently often complicated, with ...
Cholangiocarcinoma Robotic Surgical Procedures Humans Klatskin Tumor Hepatectomy Robotics Bile Ducts, Intrahepatic Bile Duct Neoplasms Laparoscopy
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