ArticleInternational journal of computer assisted radiology and surgery2016
Three-dimensional quantitative assessment of ablation margins based on registration of pre- and post-procedural MRI and distance map.
Article in International journal of computer assisted radiology and surgery, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 16 papers.
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Who cites it
16 citing papers in PubMed, 33 citations in OpenAlex.
- Article
- Three-Dimensional Margin as a Predictor of Local Tumor Progression after Microwave Ablation: Intraprocedural versus 4-8-Week Postablation Assessment.Journal of vascular and interventional radiology : JVIR · 2024Article
- Prospective Margin Estimates Predict Local Tumor Progression Following Microwave Ablation of Small Renal Masses.Cardiovascular and interventional radiology · 2024Article
- 3D US-CT/MRI registration for percutaneous focal liver tumor ablations.International journal of computer assisted radiology and surgery · 2023Article
- 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
- The Role of Percutaneous Ablation in the Management of Colorectal Cancer Liver Metastatic Disease.Diagnostics (Basel, Switzerland) · 2021Review
- Volumetric Quantitative Ablation Margins for Assessment of Ablation Completeness in Thermal Ablation of Liver Tumors.Frontiers in oncology · 2021Article
- Safety margin assessment after microwave ablation of liver tumors: inter- and intrareader variability.Radiology and oncology · 2020Article
- Assessment of Ablative Margin After Microwave Ablation for Hepatocellular Carcinoma Using Deep Learning-Based Deformable Image Registration.Frontiers in oncology · 2020Article
- Thermal Ablation of Metastatic Colon Cancer to the Liver.Seminars in interventional radiology · 2019Review
- Volumetric 3D assessment of ablation zones after thermal ablation of colorectal liver metastases to improve prediction of local tumor progression.European radiology · 2019Article
- Computer-assisted planning for a concentric tube robotic system in neurosurgery.International journal of computer assisted radiology and surgery · 2019Article
- Quantitative Volumetric Assessment of Ablative Margins in Hepatocellular Carcinoma: Predicting Local Tumor Progression Using Nonrigid Registration Software.Journal of oncology · 2019Article
- Can tumor coverage evaluated 24 h post-radiofrequency ablation predict local tumor progression of liver metastases?International journal of computer assisted radiology and surgery · 2018Article
- Navigation Systems for Treatment Planning and Execution of Percutaneous Irreversible Electroporation.Technology in cancer research & treatment · 2018Review
- Deep regression 2D-3D ultrasound registration for liver motion correction in focal tumour thermal ablation.Healthcare technology lettersArticle
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Authors and funding
7 authors at 3 institutions in 1 country.
Funding
Abstract
purposeContrast-enhanced MR images are widely used to confirm the adequacy of ablation margin after liver ablation for early prediction of local recurrence. However, quantitative assessment of the ablation margin by comparing pre- and post-procedural images remains challenging. We developed and tested a novel method for three-dimensional quantitative assessment of ablation margin based on non-rigid image registration and 3D distance map.
methodsOur method was tested with pre- and post-procedural MR images acquired in 21 patients who underwent image-guided percutaneous liver ablation. The two images were co-registered using non-rigid intensity-based registration. After the tumor and ablation volumes were segmented, target volume coverage, percent of tumor coverage, and Dice similarity coefficient were calculated as metrics representing overall adequacy of ablation. In addition, 3D distance map around the tumor was computed and superimposed on the ablation volume to identify the area with insufficient margins. For patients with local recurrences, the follow-up images were registered to the post-procedural image. Three-dimensional minimum distance between the recurrence and the areas with insufficient margins was quantified.
resultsThe percent tumor coverage for all nonrecurrent cases was 100 %. Five cases had tumor recurrences, and the 3D distance map revealed insufficient tumor coverage or a 0-mm margin. It also showed that two recurrences were remote to the insufficient margin.
conclusionsNon-rigid registration and 3D distance map allow us to quantitatively evaluate the adequacy of the ablation margin after percutaneous liver ablation. The method may be useful to predict local recurrences immediately following ablation procedure.
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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.