AIMC Topic: Cholangiocarcinoma

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Activated cancer-associated fibroblasts correlate with poor survival and decreased lymphocyte infiltration in infiltrative type distal cholangiocarcinoma.

Scientific reports Jul 1, 2025
Cancer-associated fibroblasts promote tumor progression through growth facilitation, invasion, and immune evasion. This study investigated the impact of activated cancer-associated fibroblasts (aCAFs) on survival outcomes, immune response, and molecu...
Bile Duct Neoplasms Humans Cholangiocarcinoma Machine Learning Cell Line, Tumor Prognosis Gene Expression Regulation, Neoplastic Biomarkers, Tumor Lymphocytes, Tumor-Infiltrating Male Cancer-Associated Fibroblasts Middle Aged Female Aged
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Predicting cisplatin response in cholangiocarcinoma patients using chromosome pattern and related gene expression.

Scientific reports Jul 1, 2025
Cholangiocarcinoma (CCA) is a prevalent bile duct cancer with limited treatment options. Cisplatin-based chemotherapy is a common approach, but response rates vary. Recently, chromosome aberrations have emerged as predictors of chemotherapy response ...
Humans Female Gene Expression Regulation, Neoplastic Cisplatin Bile Duct Neoplasms Aged Cholangiocarcinoma Male Chromosome Aberrations Middle Aged Antineoplastic Agents
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The Application Status of Radiomics-Based Machine Learning in Intrahepatic Cholangiocarcinoma: Systematic Review and Meta-Analysis.

Journal of medical Internet research May 5, 2025
BACKGROUND: Over the past few years, radiomics for the detection of intrahepatic cholangiocarcinoma (ICC) has been extensively studied. However, systematic evidence is lacking in the use of radiomics in this domain, which hinders its further developm...
Machine Learning Radiomics Bile Duct Neoplasms Cholangiocarcinoma Humans
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Comparison of MRI and CT based deep learning radiomics analyses and their combination for diagnosing intrahepatic cholangiocarcinoma.

Scientific reports Mar 20, 2025
Intrahepatic cholangiocarcinoma (iCCA) and other subtypes of primary liver cancer (PLC) have overlapping clinical manifestations and radiological characteristics. The objective of this study was to evaluate the efficacy of deep learning (DL) radiomic...
Magnetic Resonance Imaging Bile Duct Neoplasms Cholangiocarcinoma Male Middle Aged Deep Learning ROC Curve Humans Aged Tomography, X-Ray Computed Adult Female Radiomics
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Radiomics and machine learning models for diagnosing microvascular invasion in cholangiocarcinoma: a systematic review and meta-analysis of diagnostic test accuracy studies.

Clinical imaging Mar 13, 2025
PURPOSE: We aimed to systematically assess the value of radiomics/machine learning (ML) models for diagnosing microvascular invasion (MVI) in patients with cholangiocarcinoma (CCA) using various radiologic modalities.
Machine Learning Sensitivity and Specificity Radiomics Neoplasm Invasiveness Bile Duct Neoplasms Cholangiocarcinoma Microvessels Humans
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Preoperative blood and CT-image nutritional indicators in short-term outcomes and machine learning survival framework of intrahepatic cholangiocarcinoma.

European journal of surgical oncology : the journal of the European Society of Surgical Oncology and the British Association of Surgical Oncology Jan 30, 2025
BACKGROUND&AIMS: Intrahepatic cholangiocarcinoma (iCCA) is aggressive with limited treatment and poor prognosis. Preoperative nutritional status assessment is crucial for predicting outcomes in patients. This study aimed to compare the predictive cap...
Humans Machine Learning Prognosis Retrospective Studies Male Middle Aged Nutrition Assessment Postoperative Complications Neoplasm Recurrence, Local Tomography, X-Ray Computed Female Aged Survival Rate Subcutaneous Fat Preoperative Period Intra-Abdominal Fat Serum Albumin Cholangiocarcinoma Bilirubin Hepatectomy Bile Duct Neoplasms Nutritional Status
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Machine learning based prediction model for bile leak following hepatectomy for liver cancer.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 20, 2024
OBJECTIVE: We sought to develop a machine learning (ML) preoperative model to predict bile leak following hepatectomy for primary and secondary liver cancer.
Risk Factors Decision Support Techniques Humans Hepatectomy Databases, Factual Risk Assessment Aged Cholangiocarcinoma Machine Learning Anastomotic Leak Liver Neoplasms Retrospective Studies Male Carcinoma, Hepatocellular Middle Aged Female Predictive Value of Tests
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Textbook outcome in liver surgery for intrahepatic cholangiocarcinoma: defining predictors of an optimal postoperative course using machine learning.

HPB : the official journal of the International Hepato Pancreato Biliary Association Dec 18, 2024
BACKGROUND: We sought to define textbook outcome in liver surgery (TOLS) for intrahepatic cholangiocarcinoma (ICC) by considering the implications of perioperative outcomes on overall survival (OS).
Middle Aged Female Bile Duct Neoplasms Humans Time Factors Cholangiocarcinoma Risk Factors Treatment Outcome Machine Learning Aged Hepatectomy Databases, Factual Male Retrospective Studies
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Machine learning-based prognostic prediction and surgical guidance for intrahepatic cholangiocarcinoma.

Bioscience trends Dec 8, 2024
The prognosis following radical surgery for intrahepatic cholangiocarcinoma (ICC) is poor, and optimal follow-up strategies remain unclear, with ongoing debates regarding anatomic resection (AR) versus non-anatomic resection (NAR). This study include...
Hepatectomy Bile Duct Neoplasms Cholangiocarcinoma Male Middle Aged Support Vector Machine Neoplasm Staging Machine Learning Prognosis Female Aged Humans Neural Networks, Computer
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Development and validation of a machine-learning model to predict lymph node metastasis of intrahepatic cholangiocarcinoma: A retrospective cohort study.

Bioscience trends Dec 5, 2024
Lymph node metastasis in intrahepatic cholangiocarcinoma significantly impacts overall survival, emphasizing the need for a predictive model. This study involved patients who underwent curative liver resection between different time periods. Three ma...
Bile Duct Neoplasms Humans Kaplan-Meier Estimate Retrospective Studies Cholangiocarcinoma Female Machine Learning Lymphatic Metastasis Male Aged Prognosis Lymph Node Excision Middle Aged Disease-Free Survival Lymph Nodes Hepatectomy Support Vector Machine
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