AIMC Topic: Ablation Techniques

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Advancements in deep learning for image-guided tumor ablation therapies: a comprehensive review.

Progress in biomedical engineering (Bristol, England) Sep 4, 2025
Image-guided tumor ablation (IGTA) has revolutionized modern oncological treatments by providing minimally invasive options that ensure precise tumor eradication with minimal patient discomfort. Traditional techniques such as ultrasound (US), compute...
Humans Neoplasms Deep Learning Surgery, Computer-Assisted Ablation Techniques
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Current status and challenges of minimally invasive ultrasound thermal ablation technology.

Physics in medicine and biology Jun 12, 2025
Image-guided minimally invasive ultrasound thermal ablation has been widely studied for disease treatment due to its unique advantages, such as large treatment volumes and conformal delivery of ablation energy. This review presents the state-of-the-a...
Ablation Techniques Humans Minimally Invasive Surgical Procedures
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An artificial intelligence interpretable tool to predict risk of deep vein thrombosis after endovenous thermal ablation.

Journal of vascular surgery. Venous and lymphatic disorders Apr 30, 2025
OBJECTIVE: Endovenous thermal ablation (EVTA) stands as one of the primary treatments for superficial venous insufficiency. Concern exists about the potential for thromboembolic complications following this procedure. Although rare, those complicatio...
Reproducibility of Results Risk Factors Aged Adult Male Decision Support Techniques Databases, Factual Retrospective Studies Female Venous Thrombosis Predictive Value of Tests Endovascular Procedures Venous Insufficiency Ablation Techniques Middle Aged Risk Assessment Humans Time Factors Artificial Intelligence Treatment Outcome Machine Learning
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Deep learning-based reconstruction and superresolution for MR-guided thermal ablation of malignant liver lesions.

Cancer imaging : the official publication of the International Cancer Imaging Society Apr 2, 2025
OBJECTIVE: This study evaluates the impact of deep learning-enhanced T1-weighted VIBE sequences (DL-VIBE) on image quality and procedural parameters during MR-guided thermoablation of liver malignancies, compared to standard VIBE (SD-VIBE).
Female Aged Male Middle Aged Deep Learning Humans Retrospective Studies Magnetic Resonance Imaging, Interventional Ablation Techniques Liver Neoplasms Magnetic Resonance Imaging Liver Microwaves
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Predicting lack of clinical improvement following varicose vein ablation using machine learning.

Journal of vascular surgery. Venous and lymphatic disorders Dec 26, 2024
OBJECTIVE: Varicose vein ablation is generally indicated in patients with active/healed venous ulcers. However, patient selection for intervention in individuals without venous ulcers is less clear. Tools that predict lack of clinical improvement (LC...
Treatment Outcome Predictive Value of Tests Ablation Techniques Varicose Veins Clinical Decision-Making Humans Female Risk Factors Machine Learning Aged Decision Support Techniques Risk Assessment Male Databases, Factual Postoperative Complications Retrospective Studies Middle Aged Time Factors
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Utility of a Large Language Model for Extraction of Clinical Findings from Healthcare Data following Lung Ablation: A Feasibility Study.

Journal of vascular and interventional radiology : JVIR Dec 9, 2024
To assess the feasibility of utilizing a large language model (LLM) in extracting clinically relevant information from healthcare data in patients who have undergone microwave ablation for lung tumors. In this single-center retrospective study, radio...
Recurrence Large Language Models Hemothorax Ablation Techniques Feasibility Studies Neoplasm Recurrence, Local Data Mining Microwaves Pneumothorax Hemoptysis Reproducibility of Results Humans Aged Retrospective Studies Male Electronic Health Records Middle Aged Female Treatment Outcome Time Factors Predictive Value of Tests Lung Neoplasms Natural Language Processing
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Predicting Survival and Recurrence of Lung Ablation Patients Using Deep Learning-Based Automatic Segmentation and Radiomics Analysis.

Cardiovascular and interventional radiology Nov 27, 2024
PURPOSE: To predict survival and tumor recurrence following image-guided thermal ablation (IGTA) of lung tumors segmented using a deep learning approach.
Retrospective Studies Tomography, X-Ray Computed Female Aged Middle Aged Lung Deep Learning Radiomics Male Humans Lung Neoplasms Surgery, Computer-Assisted Neoplasm Recurrence, Local Ablation Techniques
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Study on microwave ablation temperature prediction model based on grayscale ultrasound texture and machine learning.

PloS one Sep 25, 2024
BACKGROUND: Temperature prediction is crucial in the clinical ablation treatment of liver cancer, as it can be used to estimate the coagulation zone of microwave ablation.
Microwaves Machine Learning Swine Ablation Techniques Algorithms Ultrasonography Temperature Liver Neoplasms Animals Liver
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Precise ablation zone segmentation on CT images after liver cancer ablation using semi-automatic CNN-based segmentation.

Medical physics Sep 9, 2024
BACKGROUND: Ablation zone segmentation in contrast-enhanced computed tomography (CECT) images enables the quantitative assessment of treatment success in the ablation of liver lesions. However, fully automatic liver ablation zone segmentation in CT i...
Image Processing, Computer-Assisted Automation Ablation Techniques Humans Neural Networks, Computer Tomography, X-Ray Computed Liver Neoplasms
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Machine Learning Based on Clinical Information and Integrated CT Radiomics to Predict Local Recurrence of Stage Ia Lung Adenocarcinoma after Microwave Ablation.

Journal of vascular and interventional radiology : JVIR Aug 28, 2024
PURPOSE: To develop and compare 3 different machine learning-based models of clinical information and integrated radiomics features predicting the local recurrence of Stage Ia lung adenocarcinoma after microwave ablation (MWA) for assisting clinical ...
Middle Aged Risk Assessment Time Factors Lung Neoplasms Risk Factors Aged Radiomics Male Neoplasm Recurrence, Local Microwaves Margins of Excision Adenocarcinoma of Lung Treatment Outcome Humans Ablation Techniques Predictive Value of Tests Machine Learning Tomography, X-Ray Computed Decision Support Techniques Neoplasm Staging Radiographic Image Interpretation, Computer-Assisted Retrospective Studies Clinical Decision-Making Female
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