ArticleJournal of medical radiation sciences2020
Deforming to Best Practice: Key considerations for deformable image registration in radiotherapy.
Article in Journal of medical radiation sciences, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 23 papers.
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Who cites it
23 citing papers in PubMed.
- Feasibility of dose accumulation for assessing treatment-related side effects in MR-guided abdominal SABR: A single-institution study.Clinical and translational radiation oncology · 2026Article
- Dose Mapping and Accumulation for Re-Irradiation of Lung Cancers: Methodological Principles, Uncertainties, Quality Assurance, and Practical Clinical Considerations.Journal of clinical medicine · 2026Review
- First dosimetric evaluation of deformable dose accumulation in human individuals.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2026Article
- Landmark-guided deformable image registration for accurate cumulative dose evaluation in lung reirradiation.Physics and imaging in radiation oncology · 2026Article
- Local rigidity constraints for deformable image registration in CBCT-guided radiotherapy.Medical physics · 2025Article
- Reirradiation: Evaluation of the occurrence and type in cancer treatment for lung - 2024.Technical innovations & patient support in radiation oncology · 2025Article
- Comparing methods to improve cone-beam computed tomography for dose calculations in adaptive proton therapy.Physics and imaging in radiation oncology · 2025Article
- FCB-CHOPS: An Evolution of a Commonly Used Acronym for Evaluating Radiation Treatment Plans.Advances in radiation oncology · 2025Article
- TriSwinUNETR lobe segmentation model for computing DIR-free CT-ventilation.Frontiers in oncology · 2025Article
- Tools and recommendations for commissioning and quality assurance of deformable image registration in radiotherapy.Physics and imaging in radiation oncology · 2024Review
- A review of whole gland prostate brachytherapy with focal dose escalation to intra-prostatic lesions: Clinical efficacy and technical aspects.Physics and imaging in radiation oncology · 2024Review
- Creating patient-specific digital phantoms with a longitudinal atlas for evaluating deformable CT-CBCT registration in adaptive lung radiotherapy.Medical physics · 2024Article
- Review and recommendations on deformable image registration uncertainties for radiotherapy applications.Physics in medicine and biology · 2023Review
- Evaluation of the clinical feasibility of cone-beam computed tomography guided online adaption for simulation-free palliative radiotherapy.Physics and imaging in radiation oncology · 2023Article
- Applicability and usage of dose mapping/accumulation in radiotherapy.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2023Review
- Integrating Structure Propagation Uncertainties in the Optimization of Online Adaptive Proton Therapy Plans.Cancers · 2022Article
- Utility of deformable image registration for adaptive prostate cancer treatment. Analysis and comparison of two commercially available algorithms.Zeitschrift fur medizinische Physik · 2022Article
- MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy.Physical and engineering sciences in medicine · 2022Article
- ACPSEM position paper on the clinical implementation of image registration.Physical and engineering sciences in medicine · 2022Article
- Evaluation of clinically involved lymph nodes with deformable registration in breast cancer radiotherapy.The British journal of radiology · 2022Article
Corrections and comments
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Authors and funding
15 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Image registration is a process that underlies many new techniques in radiation oncology - from multimodal imaging and contour propagation in treatment planning to dose accumulation throughout treatment. Deformable image registration (DIR) is a subset of image registration subject to high levels of complexity in process and validation. A need for local guidance to assist in high-quality utilisation and best practice was identified within the Australian community, leading to collaborative activity and workshops. This report communicates the current limitations and best practice advice from early adopters to help guide those implementing DIR in the clinic at this early stage. They are based on the state of image registration applications in radiotherapy in Australia and New Zealand (ANZ), and consensus discussions made at the 'Deforming to Best Practice' workshops in 2018. The current status of clinical application use cases is presented, including multimodal imaging, automatic segmentation, adaptive radiotherapy, retreatment, dose accumulation and response assessment, along with uptake, accuracy and limitations. Key areas of concern and preliminary suggestions for commissioning, quality assurance, education and training, and the use of automation are also reported. Many questions remain, and the radiotherapy community will benefit from continued research in this area. However, DIR is available to clinics and this report is intended to aid departments using or about to use DIR tools now.
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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.