AIMC Topic: Bile Duct Neoplasms

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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 Cholangiocarcinoma Cell Line, Tumor Humans Gene Expression Regulation, Neoplastic Machine Learning Lymphocytes, Tumor-Infiltrating Prognosis Cancer-Associated Fibroblasts Female Aged Biomarkers, Tumor Male Middle 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 Aged Male Gene Expression Regulation, Neoplastic Bile Duct Neoplasms Middle Aged Cisplatin Cholangiocarcinoma Antineoplastic Agents Chromosome Aberrations
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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...
Bile Duct Neoplasms Cholangiocarcinoma Humans Machine Learning Radiomics
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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...
Cholangiocarcinoma Deep Learning ROC Curve Magnetic Resonance Imaging Humans Bile Duct Neoplasms Tomography, X-Ray Computed Female Aged Adult Radiomics Male Middle Aged
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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.
Radiomics Neoplasm Invasiveness Bile Duct Neoplasms Cholangiocarcinoma Microvessels Humans Machine Learning Sensitivity and Specificity
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Artificial intelligence for automatic diagnosis and pleomorphic morphological characterization of malignant biliary strictures using digital cholangioscopy.

Scientific reports Feb 14, 2025
Diagnosing and characterizing biliary strictures (BS) remains challenging. Artificial intelligence (AI) applied to digital single-operator cholangioscopy (D-SOC) holds promise for improving diagnostic accuracy in indeterminate BS. This multicenter st...
Humans Neural Networks, Computer Artificial Intelligence Female Constriction, Pathologic Aged Bile Duct Neoplasms Sensitivity and Specificity Endoscopy, Digestive System Male Cholestasis Middle Aged
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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...
Prognosis Retrospective Studies Tomography, X-Ray Computed Female Humans Machine Learning Nutrition Assessment Postoperative Complications Neoplasm Recurrence, Local Bilirubin Aged Survival Rate Male Middle Aged Intra-Abdominal Fat Serum Albumin Cholangiocarcinoma Subcutaneous Fat Hepatectomy Bile Duct Neoplasms Nutritional Status Preoperative Period
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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 Time Factors Treatment Outcome Humans Female Bile Duct Neoplasms Machine Learning Hepatectomy Risk Factors Cholangiocarcinoma Databases, Factual Aged Retrospective Studies Male
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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...
Male Middle Aged Support Vector Machine Neoplasm Staging Machine Learning Humans Hepatectomy Prognosis Neural Networks, Computer Bile Duct Neoplasms Female Cholangiocarcinoma Aged
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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...
Hepatectomy Bile Duct Neoplasms Kaplan-Meier Estimate Cholangiocarcinoma Machine Learning Support Vector Machine Prognosis Aged Humans Lymphatic Metastasis Retrospective Studies Male Female Lymph Node Excision Middle Aged Disease-Free Survival Lymph Nodes
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