AIMC Topic: Liver Neoplasms

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Denoised recurrence label-based deep learning for prediction of postoperative recurrence risk and sorafenib response in HCC.

BMC medicine Mar 18, 2025
BACKGROUND: Pathological images of hepatocellular carcinoma (HCC) contain abundant tumor information that can be used to stratify patients. However, the links between histology images and the treatment response have not been fully unveiled.
Carcinoma, Hepatocellular Male Humans Neoplasm Recurrence, Local Middle Aged Prognosis Sorafenib Antineoplastic Agents Female Deep Learning Aged Liver Neoplasms
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Deep learning based on intratumoral heterogeneity predicts histopathologic grade of hepatocellular carcinoma.

BMC cancer Mar 18, 2025
OBJECTIVES: The potential of medical imaging to non-invasively assess intratumoral heterogeneity (ITH) is increasingly being recognized. This study aimed to investigate the value of the ITH-based deep learning model for preoperative prediction of his...
Magnetic Resonance Imaging Neoplasm Grading Middle Aged Deep Learning Liver Neoplasms Humans Prognosis Carcinoma, Hepatocellular Female Aged Adult Male
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LI-RADS-based hepatocellular carcinoma risk mapping using contrast-enhanced MRI and self-configuring deep learning.

Cancer imaging : the official publication of the International Cancer Imaging Society Mar 17, 2025
BACKGROUND: Hepatocellular carcinoma (HCC) is often diagnosed using gadoxetate disodium-enhanced magnetic resonance imaging (EOB-MRI). Standardized reporting according to the Liver Imaging Reporting and Data System (LI-RADS) can improve Gd-MRI interp...
Magnetic Resonance Imaging Humans Image Interpretation, Computer-Assisted Retrospective Studies Risk Assessment Gadolinium DTPA Female Aged Deep Learning Adult Liver Neoplasms Male Carcinoma, Hepatocellular Contrast Media Middle Aged
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Liver lesion segmentation in ultrasound: A benchmark and a baseline network.

Computerized medical imaging and graphics : the official journal of the Computerized Medical Imaging Society Mar 14, 2025
Accurate liver lesion segmentation in ultrasound is a challenging task due to high speckle noise, ambiguous lesion boundaries, and inhomogeneous intensity distribution inside the lesion regions. This work first collected and annotated a dataset for l...
Ultrasonography Liver Neoplasms Liver Benchmarking Humans Image Interpretation, Computer-Assisted Neural Networks, Computer Algorithms
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Development and validation of an interpretable machine learning model for predicting the risk of hepatocellular carcinoma in patients with chronic hepatitis B: a case-control study.

BMC gastroenterology Mar 11, 2025
BACKGROUND: The aim of this study was to develop and internally validate an interpretable machine learning (ML) model for predicting the risk of hepatocellular carcinoma (HCC) in patients with chronic hepatitis B (CHB) infection.
Adult Male Middle Aged Risk Assessment Case-Control Studies ROC Curve Liver Neoplasms Carcinoma, Hepatocellular Logistic Models Neural Networks, Computer Machine Learning Retrospective Studies Female Risk Factors Humans Hepatitis B, Chronic
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Development of a MVI associated HCC prognostic model through single cell transcriptomic analysis and 101 machine learning algorithms.

Scientific reports Mar 7, 2025
Hepatocellular carcinoma (HCC) is an exceedingly aggressive form of cancer that often carries a poor prognosis, especially when it is complicated by the presence of microvascular invasion (MVI). Identifying patients at high risk of MVI is crucial for...
Kaplan-Meier Estimate Microvessels Immune Checkpoint Proteins Carcinoma, Hepatocellular Single-Cell Gene Expression Analysis Immunotherapy Gene Expression Regulation, Neoplastic Treatment Outcome Prognosis Neoplasm Invasiveness Humans Liver Clinical Decision-Making Machine Learning Meta-Analysis as Topic Biomarkers, Tumor Precision Medicine Mutation Risk Assessment Datasets as Topic Liver Neoplasms
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Controlling nutritional status score predicts posthepatectomy liver failure: an online interpretable machine learning prediction model.

European journal of gastroenterology & hepatology Mar 5, 2025
BACKGROUND AND AIMS: Posthepatectomy liver failure (PHLF) remains a severe complication after hepatectomy for hepatocellular carcinoma (HCC) and accurate preoperative evaluation and predictive measures are urgently needed. We investigated the impact ...
Postoperative Complications Liver Neoplasms Carcinoma, Hepatocellular Predictive Value of Tests Hepatectomy Male Middle Aged Nutrition Assessment Risk Assessment Nutritional Status Humans Liver Failure Machine Learning Algorithms Female Risk Factors Aged
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Deep learning for hepatocellular carcinoma recurrence before and after liver transplantation: a multicenter cohort study.

Scientific reports Mar 5, 2025
Hepatocellular carcinoma (HCC) recurrence after liver transplantation (LT) is a major contributor to mortality. We developed a recurrence prediction system for HCC patients before and after LT. Data from patients with HCC who underwent LT were retros...
Male Middle Aged Deep Learning China Liver Neoplasms Carcinoma, Hepatocellular Neoplasm Recurrence, Local Liver Transplantation Retrospective Studies Female Risk Factors Aged Adult Humans
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Predicting the complexity of minimally invasive liver resection for hepatocellular carcinoma using machine learning.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Despite technical advancements, minimally invasive liver surgery (MILS) for hepatocellular carcinoma (HCC) remains challenging. Nonetheless, effective tools to assess MILS complexity are still lacking. Machine learning (ML) models could i...
Female Risk Factors Aged Male Middle Aged Machine Learning Decision Support Techniques Databases, Factual Retrospective Studies Minimally Invasive Surgical Procedures Tumor Burden Hepatectomy Risk Assessment Liver Neoplasms Carcinoma, Hepatocellular Treatment Outcome Predictive Value of Tests Humans
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Indication model for laparoscopic repeat liver resection in the era of artificial intelligence: machine learning prediction of surgical indication.

HPB : the official journal of the International Hepato Pancreato Biliary Association Mar 4, 2025
BACKGROUND: Laparoscopic repeat liver resection (LRLR) is still a challenging technique and requires a careful selection of indications. However, the current difficulty scoring system is not suitable for selecting indications. The purpose of this stu...
Humans Machine Learning Hepatectomy Reoperation Conversion to Open Surgery Male Middle Aged Retrospective Studies Risk Assessment Female Liver Neoplasms Risk Factors Laparoscopy Aged
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