ArticleTechnology in cancer research & treatment2017
Evaluation of Deformable Image Registration-Based Contour Propagation From Planning CT to Cone-Beam CT.
Article in Technology in cancer research & treatment, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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19 citing papers in PubMed, 38 citations in OpenAlex.
- Comparison of deformable image registration algorithms for planning CT and CBCT in prostate cancer patients treated with external beam radiation therapy.Radiological physics and technology · 2026Article
- Deformable image registration accuracy: impact of user-defined parameter selection on contour propagation for deep inspiration breath-hold and free breathing breast radiotherapy.BMC medical imaging · 2026Article
- Evaluation of loco-regional recurrences using deformable image registration after isotoxic high dose stereotactic body radiotherapy in localised pancreatic cancer.Clinical and translational radiation oncology · 2026Article
- Unsupervised cycle-consistent network for 3D pelvic mono- or multimodal deformable image registration.Radiation oncology (London, England) · 2025Article
- Cherenkov emission in realistic optical body phantoms to study effects of skin tone on imaging delivery technique.Physics in medicine and biology · 2025Article
- Evaluation of cumulative dose distributions from external beam radiation therapy using CT-to-CBCT deformable image registration (DIR) for cervical cancer patients.Journal of applied clinical medical physics · 2025Article
- Current status and upcoming developments for online adaptive proton therapy enabling a closed feedback loop for near real-time adaptation.Frontiers in oncology · 2025Review
- Evaluation of the geometric and dosimetric accuracies of deformable image registration of targets and critical organs in prostate CBCT-guided adaptive radiotherapy.Journal of applied clinical medical physics · 2024Article
- Review and recommendations on deformable image registration uncertainties for radiotherapy applications.Physics in medicine and biology · 2023Review
- The geometric and dosimetric accuracy of kilovoltage cone beam computed tomography images for adaptive treatment: a systematic review.BJR open · 2023Article
- Feasibility of 4D VMAT-CT.Biomedical physics & engineering express · 2022Article
- Comparison of an in-house hybrid DIR method to NiftyReg on CBCT and CT images for head and neck cancer.Journal of applied clinical medical physics · 2022Article
- Assessment of CT to CBCT contour mapping for radiomic feature analysis in prostate cancer.Scientific reports · 2021Article
- Synthetic CT-aided multiorgan segmentation for CBCT-guided adaptive pancreatic radiotherapy.Medical physics · 2021Article
- Evaluation of a deformable image registration quality assurance tool for head and neck cancer patients.Journal of medical radiation sciences · 2020Article
- Feasibility of 3D tracking and adaptation of VMAT based on VMAT-CT.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2020Article
- Male pelvic multi-organ segmentation aided by CBCT-based synthetic MRI.Physics in medicine and biology · 2020Article
- Clinical Enhancement in AI-Based Post-processed Fast-Scan Low-Dose CBCT for Head and Neck Adaptive Radiotherapy.Frontiers in artificial intelligence · 2020Article
- Robust contour propagation using deep learning and image registration for online adaptive proton therapy of prostate cancer.Medical physics · 2019Article
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
purposeWe evaluated the performance of organ contour propagation from a planning computed tomography to cone-beam computed tomography with deformable image registration by comparing contours to manual contouring. MATERIALS AND
methodsSixteen patients were retrospectively identified based on showing considerable physical change throughout the course of treatment. Multiple organs in the 3 regions (head and neck, prostate, and pancreas) were evaluated. A cone-beam computed tomography from the end of treatment was registered to the planning computed tomography using rigid registration, followed by deformable image registration. The contours were copied on cone-beam computed tomography image sets using rigid registration and modified by 2 radiation oncologists. Contours were compared using Dice similarity coefficient, mean surface distance, and Hausdorff distance.
resultsThe mean physician-to-physician Dice similarity coefficient for all organs was 0.90. When compared to each physician's contours, the overall mean for rigid was 0.76 (
conclusionThe physicians had a high level of agreement via the 3 metrics; however, deformable image registration fell short of this level of agreement. The automatic workflows using deformable image registration to deform contours to cone-beam computed tomography to evaluate the changes during treatment should be used with caution.
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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.