AIMC Topic: Bile Duct Neoplasms

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Robotic approach for perihilar cholangiocarcinoma: from Bismuth 1 to vascular resection.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Aug 1, 2023
BACKGROUND: Implementation of minimally invasive surgical approaches for perihilar cholangiocarcinoma (pCCA) has been relatively slow compared to other indications. This is due to the complexity of the disease and the need of advanced skills for the ...
Humans Robotics Bismuth Cholangiocarcinoma Klatskin Tumor Bile Ducts, Intrahepatic Robotic Surgical Procedures Hepatectomy Bile Duct Neoplasms
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EDLM: Ensemble Deep Learning Model to Detect Mutation for the Early Detection of Cholangiocarcinoma.

Genes May 18, 2023
The most common cause of mortality and disability globally right now is cholangiocarcinoma, one of the worst forms of cancer that may affect people. When cholangiocarcinoma develops, the DNA of the bile duct cells is altered. Cholangiocarcinoma claim...
Bile Ducts, Intrahepatic Early Detection of Cancer Bile Duct Neoplasms Cholangiocarcinoma Male Deep Learning Humans Female
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Pure robotic major hepatectomy with biliary reconstruction for hepatobiliary malignancies: first European results.

Surgical endoscopy Feb 9, 2023
BACKGROUND: Combined liver and bile duct resection with biliary reconstruction for hepatobiliary malignancies are defined as highly complex surgical procedures. The robotic platform may overcome some major limitations of conventional laparoscopic sur...
Humans Female Hepatectomy Robotics Aged Bile Duct Neoplasms Robotic Surgical Procedures Bile Ducts Male Gastrointestinal Neoplasms Treatment Outcome
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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...
Deep Learning Liver Neoplasms Carcinoma, Hepatocellular Humans Sensitivity and Specificity Cholangiocarcinoma Bile Ducts, Intrahepatic Magnetic Resonance Imaging Workflow Bile Duct Neoplasms
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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 Ducts, Intrahepatic Humans Retrospective Studies Tomography, X-Ray Computed Deep Learning Bile Duct Neoplasms Cholangiocarcinoma
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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 ...
Humans Bile Ducts, Intrahepatic Hepatectomy Cholecystectomy Bile Duct Neoplasms Liver Cholangiocarcinoma Robotics Indocyanine Green
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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 Hepatectomy Female Bile Duct Neoplasms Aged Cholangiocarcinoma Machine Learning Retrospective Studies Male Middle Aged Risk Assessment
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Machine Learning-Based MRI LAVA Dynamic Enhanced Scanning for the Diagnosis of Hilar Lesions.

Computational and mathematical methods in medicine Feb 24, 2022
OBJECTIVE: To explore the value of machine learning-based magnetic resonance imaging (MRI) liver acceleration volume acquisition (LAVA) dynamic enhanced scanning for diagnosing hilar lesions.
Liver Aged, 80 and over Bile Duct Neoplasms Young Adult Klatskin Tumor Retrospective Studies Adult Adolescent Male Female Humans Cholangitis Computational Biology Middle Aged Aged Neural Networks, Computer Magnetic Resonance Imaging Case-Control Studies Machine Learning
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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 Ducts, Intrahepatic Magnetic Resonance Imaging Bile Duct Neoplasms Cholangiocarcinoma Female Sensitivity and Specificity Male Deep Learning Humans 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
Deep Learning Magnetic Resonance Imaging Bile Duct Neoplasms Cholangiocarcinoma Bile Ducts, Intrahepatic Humans Retrospective Studies
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