ArticleMedical physics2016
Effect of deformable registration uncertainty on lung SBRT dose accumulation.
Article in Medical physics, 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 22 papers.
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Who cites it
22 citing papers in PubMed.
- Re-evaluating previous dose and allowing increasing recovery (REPAIR): study protocol for a thoracic reirradiation phase I dose escalation trial.BMC cancer · 2026Article
- Impact of respiratory motion on dose to the airways in central and ultra-central lung stereotactic ablative body radiotherapy.Physics and imaging in radiation oncology · 2026Article
- Pelvic dose accumulation accuracy in a CBCT based online adaptive radiotherapy system.Journal of applied clinical medical physics · 2025Article
- Accuracy Evaluation of Dose Warping Using Deformable Image Registration in Carbon Ion Therapy.International journal of particle therapy · 2025Article
- Assessment of intrafractional prostate motion and its dosimetric impact in MRI-guided online adaptive radiotherapy with gating.Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2023Article
- Impact of CT scan parameters on deformable image registration accuracy using deformable thorax phantom.Journal of applied clinical medical physics · 2023Article
- The geometric and dosimetric accuracy of kilovoltage cone beam computed tomography images for adaptive treatment: a systematic review.BJR open · 2023Article
- MIRSIG position paper: the use of image registration and fusion algorithms in radiotherapy.Physical and engineering sciences in medicine · 2022Article
- Artificial Intelligence in Radiation Therapy.IEEE transactions on radiation and plasma medical sciences · 2022Article
- Leveraging deep learning-based segmentation and contours-driven deformable registration for dose accumulation in abdominal structures.Frontiers in oncology · 2022Article
- Dose evaluations of organs at risk and predictions of gastrointestinal toxicity after re-irradiation with stereotactic body radiation therapy for pancreatic cancer by deformable image registration.Frontiers in oncology · 2022Article
- Geometric and dosimetric accuracy of deformable image registration between average-intensity images for 4DCT-based adaptive radiotherapy for non-small cell lung cancer.Journal of applied clinical medical physics · 2021Article
- Article
- Deep learning in medical image registration: a review.Physics in medicine and biology · 2020Review
- Automatic reconstruction of the delivered dose of the day using MR-linac treatment log files and online MR imaging.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2020Article
- Dose accumulation in IMRT for left breast cancer determined by applying deformation registration.Translational cancer research · 2020Article
- Deep Learning Deformation Initialization for Rapid Groupwise Registration of Inhomogeneous Image Populations.Frontiers in neuroinformatics · 2019Article
- The impact of technology on the changing practice of lung SBRT.Physica medica : PM : an international journal devoted to the applications of physics to medicine and biology : official journal of the Italian Association of Biomedical Physics (AIFB) · 2018Review
- Planning 4D intensity-modulated arc therapy for tumor tracking with a multileaf collimator.Physics in medicine and biology · 2017Article
- Lung stereotactic body radiotherapy with an MR-linac - Quantifying the impact of the magnetic field and real-time tumor tracking.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2016Article
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Abstract
purposeDeformable image registration (DIR) plays an important role in dose accumulation, such as incorporating breathing motion into the accumulation of the delivered dose based on daily 4DCBCT images. However, it is not yet well understood how the uncertainties associated with DIR methods affect the dose calculations and resulting clinical metrics. The purpose of this study is to evaluate the impact of DIR uncertainty on the clinical metrics derived from its use in dose accumulation.
methodsA biomechanical model based DIR method and a biomechanical-intensity-based hybrid method, which reduced the average registration error by 1.6 mm, were applied to ten lung cancer patients. A clinically relevant dose parameter [minimum dose to 0.5 cm(3) (Dmin)] was calculated for three dose scenarios using both algorithms. Dose scenarios included static (no breathing motion), predicted (breathing motion at the time of planning), and total accumulated (interfraction breathing motion). The relationship between the dose parameter and a combination of DIR uncertainty metrics, tumor volume, and dose heterogeneity of the plan was investigated.
resultsDepending on the dose heterogeneity, tumor volume, and DIR uncertainty, in over 50% of the patients, differences greater than 1.0 Gy were observed in the Dmin of the tumor in the static dose calculation on exhale phase of the 4DCT. Such differences were due to the errors in propagating the tumor contours from the reference planning 4DCT phase onto a subsequent 4DCT phase using each DIR algorithm and calculating the dose on that phase. The differences in predicted dose were more subtle when breathing motion was modeled explicitly at the time of planning with only one patient exhibiting a greater than 1.0 Gy difference in Dmin. Dmin differences of up to 2.5 Gy were found in the total accumulated delivered dose due to difference in quantifying the interfraction variations. Such dose uncertainties could potentially be clinically significant.
conclusionsReductions in average uncertainty in DIR algorithms by 1.6 mm may have a clinically significant impact on the decision-making metrics used in dose planning and dose accumulation assessment.
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