ArticleInternational journal of radiation oncology, biology, physics2017
Implementing Radiation Dose-Volume Liver Response in Biomechanical Deformable Image Registration.
Article in International journal of radiation oncology, biology, physics, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 26 citations in OpenAlex.
- Comparison of regional lung perfusion response on longitudinal MAA SPECT/CT in lung cancer patients treated with and without functional tissue-avoidance radiation therapy.The British journal of radiology · 2019Trial
- Redefining precision in biliary surgery: a paradigm shift from operative mastery to prognostic-driven strategy.Frontiers in surgery · 2026Article
- Evaluation of deformable image registration accuracy for liver re-irradiation patients using contrast and non-contrast computed tomography images.Medical physics · 2025Article
- A vessel bifurcation liver CT landmark pair dataset for evaluating deformable image registration algorithms.Medical physics · 2025Article
- PET/CT-Based Absorbed Dose Maps inJournal of nuclear medicine : official publication, Society of Nuclear Medicine · 2024Article
- Fully automated deep learning based auto-contouring of liver segments and spleen on contrast-enhanced CT images.Scientific reports · 2024Article
- Review and recommendations on deformable image registration uncertainties for radiotherapy applications.Physics in medicine and biology · 2023Review
- 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
- Relationship between absorbed dose and changes in liver volume after chemoradiotherapy for esophageal cancer.Japanese journal of radiology · 2023Article
- Ablative Margins of Colorectal Liver Metastases Using Deformable CT Image Registration and Autosegmentation.Radiology · 2023Article
- Incorporating the synthetic CT image for improving the performance of deformable image registration between planning CT and cone-beam CT.Frontiers in oncology · 2023Article
- Leveraging deep learning-based segmentation and contours-driven deformable registration for dose accumulation in abdominal structures.Frontiers in oncology · 2022Article
- Detection of vessel bifurcations in CT scans for automatic objective assessment of deformable image registration accuracy.Medical physics · 2021Article
- Biomechanical modeling of radiation dose-induced volumetric changes of the parotid glands for deformable image registration.Physics in medicine and biology · 2020Article
- Dosimetric Analysis and Normal-Tissue Complication Probability Modeling of Child-Pugh Score and Albumin-Bilirubin Grade Increase After Hepatic Irradiation.International journal of radiation oncology, biology, physics · 2020Article
- Accuracy of deformable image registration techniques for alignment of longitudinal cholangiocarcinoma CT images.Medical physics · 2020Article
- Rigid and Deformable Image Registration for Radiation Therapy: A Self-Study Evaluation Guide for NRG Oncology Clinical Trial Participation.Practical radiation oncologyArticle
- Vasculature-Driven Biomechanical Deformable Image Registration of Longitudinal Liver Cholangiocarcinoma Computed Tomographic Scans.Advances in radiation oncologyArticle
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
purposeUnderstanding anatomic and functional changes in the liver resulting from radiation therapy is fundamental to the improvement of normal tissue complication probability models needed to advance personalized medicine. The ability to link pretreatment and posttreatment imaging is often compromised by significant dose-dependent volumetric changes within the liver that are currently not accounted for in deformable image registration (DIR) techniques. This study investigated using delivered dose, in combination with other patient factors, to biomechanically model longitudinal changes in liver anatomy for follow-up care and re-treatment planning. METHODS AND MATERIALS: Population models describing the relationship between dose and hepatic volume response were produced using retrospective data from 33 patients treated with focal radiation therapy. A DIR technique was improved by implementing additional boundary conditions associated with the dose-volume response in series with a previously developed biomechanical DIR algorithm. Evaluation of this DIR technique was performed on computed tomography imaging from 7 patients by comparing the model-predicted volumetric change within the liver with the observed change, tracking vessel bifurcations within the liver through the deformation process, and then determining target registration error between the predicted and identified posttreatment bifurcation points.
resultsEvaluation of the proposed DIR technique showed that all lobes were volumetrically deformed to within the respective contour variability of each lobe. The average target registration error achieved was 7.3 mm (2.8 mm left-right and anterior-posterior and 5.1 mm superior-inferior), with the superior-inferior component within the average limiting slice thickness (6.0 mm). This represented a significant improvement (P<.01, Wilcoxon test) over the application of the previously published biomechanical DIR algorithm (10.9 mm).
conclusionsThis study demonstrates the feasibility of implementing dose-driven volumetric response in deformable registration, enabling improved accuracy of modeling liver anatomy changes, which could allow for improved dose accumulation, particularly for patients who require additional liver radiation therapy.
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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.