ArticleMedical physics2021
A novel use of biomechanical model-based deformable image registration (DIR) for assessing colorectal liver metastases ablation outcomes.
Article in Medical physics, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers.
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Who cites it
20 citing papers in PubMed, 24 citations in OpenAlex.
- Software-based versus visual assessment of the minimal ablative margin in patients with liver tumours undergoing percutaneous thermal ablation (COVER-ALL): a randomised phase 2 trial.The lancet. Gastroenterology & hepatology · 2025Trial
- Article
- BioDeformUNet: A Deep Learning Model for Biomechanically Informed Liver Image Registration.medRxiv : the preprint server for health sciences · 2026Article
- Interventional Oncology for Colorectal Liver Metastases: From Local Cure to Salvage Therapy.Biomedicines · 2025Review
- Quantitative Ablation Confirmation Methods in Percutaneous Thermal Ablation of Malignant Liver Tumors: Technical Insights, Clinical Evidence, and Future Outlook.Radiology. Imaging cancer · 2025Review
- Evaluation of Local Tumor Outcomes Following Microwave Ablation of Colorectal Liver Metastases Using CT Imaging: A Comparison of Visual versus Quantitative Methods.Radiology. Imaging cancer · 2025Article
- A vessel bifurcation liver CT landmark pair dataset for evaluating deformable image registration algorithms.Medical physics · 2025Article
- Ablative margin quantification using deformable versus rigid image registration in colorectal liver metastasis thermal ablation: a retrospective single-center study.European radiology · 2024Article
- Identification of A0 minimum ablative margins for colorectal liver metastases: multicentre, retrospective study using deformable CT registration and artificial intelligence-based autosegmentation.The British journal of surgery · 2024Article
- Using Patient-Specific 3D Modeling and Simulations to Optimize Microwave Ablation Therapy for Liver Cancer.Cancers · 2024Article
- Analysis and prediction of liver volume change maps derived from computational tomography scans acquired pre- and post-radiation therapy.Physics in medicine and biology · 2023Article
- Imaging in Interventional Radiology: 2043 and Beyond.Radiology · 2023Review
- Ablative Margins of Colorectal Liver Metastases Using Deformable CT Image Registration and Autosegmentation.Radiology · 2023Article
- Use of Contrast Media During CT-guided Thermal Ablation of Colorectal Liver Metastasis for Procedure Planning is Associated with Improved Immediate Outcomes.Cardiovascular and interventional radiology · 2023Article
- Optimization of mesh generation for geometric accuracy, robustness, and efficiency of biomechanical-model-based deformable image registration.Medical physics · 2023Article
- Study Protocol COVER-ALL: Clinical Impact of a Volumetric Image Method for Confirming Tumour Coverage with Ablation on Patients with Malignant Liver Lesions.Cardiovascular and interventional radiology · 2022Article
- Biopsy and Margins Optimize Outcomes after Thermal Ablation of Colorectal Liver Metastases.Cancers · 2022Article
- 3D margin assessment predicts local tumor progression after ablation of colorectal cancer liver metastases.International journal of hyperthermia : the official journal of European Society for Hyperthermic Oncology, North American Hyperthermia Group · 2022Article
- Fat Quantification Imaging and Biophysical Modeling for Patient-Specific Forecasting of Microwave Ablation Therapy.Frontiers in physiology · 2021Article
- 3D Quantitative Ablation Margins for Prediction of Ablation Site Recurrence After Stereotactic Image-Guided Microwave Ablation of Colorectal Liver Metastases: A Multicenter Study.Frontiers in oncology · 2021Article
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Authors and funding
8 authors at 2 institutions in 1 country.
Funding
Abstract
purposeColorectal cancer is the third most common form of cancer in the United States, and up to 60% of these patients develop liver metastasis. While hepatic resection is the curative treatment of choice, only 20% of patients are candidates at the time of diagnosis. While percutaneous thermal ablation (PTA) has demonstrated 24%-51% overall 5-year survival rates, assurance of sufficient ablation margin delivery (5 mm) can be challenging, with current methods of 2D distance measurement not ensuring 3D minimum margin. We hypothesized that biomechanical model-based deformable image registration (DIR) can reduce spatial uncertainties and differentiate local tumor progression (LTP) patients from LTP-free patients.
methodsWe retrospectively acquired 30 patients (16 LTP and 14 LTP-free) at our institution who had undergone PTA and had a contrast-enhanced pre-treatment and post-ablation CT scan. Liver, disease, and ablation zone were manually segmented. Biomechanical model-based DIR between the pre-treatment and post-ablation CT mapped the gross tumor volume onto the ablation zone and measured 3D minimum delivered margin (MDM). An in-house cone-tracing algorithm determined if progression qualitatively collocated with insufficient 5 mm margin achieved.
resultsMann-Whitney U test showed a significant difference (p < 0.01) in MDM from the LTP and LTP-free groups. A total of 93% (13/14) of patients with LTP had a correlation between progression and missing 5 mm of margin volume.
conclusionsBiomechanical DIR is able to reduce spatial uncertainty and allow measurement of delivered 3D MDM. This minimum margin can help ensure sufficient ablation delivery, and our workflow can provide valuable information in a clinically useful timeframe.
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.