ReviewPhysics in medicine and biology2019
Real-time intrafraction motion monitoring in external beam radiotherapy.
Review in Physics in medicine and biology, 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 112 papers.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
112 citing papers in PubMed.
- Clinical validation of the Varian Truebeam intra-fraction motion review (IMR) system for prostate treatment guidance.Physical and engineering sciences in medicine · 2023Trial
- DiffINR: conditional neural field diffusion for deformation-driven volumetric image estimation from limited measurements.Physics in medicine and biology · 2026Article
- MR-Guided Adaptive Radiotherapy in Lung Cancer: Current Landscape and Future Directions.Cancers · 2026Review
- Real-time motion tracking of a gold implant in water by Cherenkov lights.Journal of applied clinical medical physics · 2026Article
- Retrospective intrafraction motion verification using triggered kilovoltage images during bone metastases stereotactic body radiotherapy.Physics and imaging in radiation oncology · 2026Article
- An open-source motion platform that replicates time synchronised internal and external patient motion for real-time image-guided radiotherapy.Physical and engineering sciences in medicine · 2026Article
- Investigation of the effect of planning techniques on thyroid and lens absorbe doses in radiotherapy of left breast cancer by in vivo dosimetry: a prospective study.Physical and engineering sciences in medicine · 2026Article
- Fluoroscopy-Guided Motion Management in Particle Therapy: Evolution, Challenges, and AI-Enabled Opportunities.Tomography (Ann Arbor, Mich.) · 2026Review
- Assessing the technical capability of a room- and a gantry-mounted kV imaging device for intra-fractional fluoroscopy during stereotactic lung radiotherapy at a C-arm linear accelerator.Physics and imaging in radiation oncology · 2026Article
- Deducing cardiorespiratory motion of cardiac substructures using a novel 5D-MRI workflow for radiotherapy.Physics in medicine and biology · 2026Article
- Quantifying intrafractional colon tumor motion on 1.5 T MR-linac cine-MRI and applying anisotropic residual-motion margins for SBRT.Radiation oncology (London, England) · 2026Observational
- Article
- Initial Experience with Correlation Object-Based DRR Targeting Using Stereoscopic X-Ray Imaging in Lung SBRT.Cancers · 2026Article
- Beyond the snapshot: continuous optical surface monitoring reveals non-linear temporal dynamics and postural stability window in free-breathing breast radiotherapy.Frontiers in oncology · 2026Article
- Development of a real-time multi-scenario monitoring method for respiratory motion based on capacitive sensors.Precision radiation oncology · 2025Article
- Marker-Less Lung Tumor Tracking from Real-Time Color X-Ray Fluoroscopic Images Using Cross-Patient Deep Learning Model.Bioengineering (Basel, Switzerland) · 2025Article
- Article
- A dynamic reconstruction and motion estimation framework for cardiorespiratory motion-resolved real-time volumetric MR imaging (DREME-MR).Physics in medicine and biology · 2025Article
- An open-source deep learning framework for respiratory motion monitoring and volumetric imaging during radiation therapy.Medical physics · 2025Article
- Clinical comparison of adaptive 4DCBCT scanning protocols for lung tumor motion assessment.Journal of applied clinical medical physics · 2025Article
52 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
11 authors.
Funding
Abstract
Radiotherapy (RT) aims to deliver a spatially conformal dose of radiation to tumours while maximizing the dose sparing to healthy tissues. However, the internal patient anatomy is constantly moving due to respiratory, cardiac, gastrointestinal and urinary activity. The long term goal of the RT community to 'see what we treat, as we treat' and to act on this information instantaneously has resulted in rapid technological innovation. Specialized treatment machines, such as robotic or gimbal-steered linear accelerators (linac) with in-room imaging suites, have been developed specifically for real-time treatment adaptation. Additional equipment, such as stereoscopic kilovoltage (kV) imaging, ultrasound transducers and electromagnetic transponders, has been developed for intrafraction motion monitoring on conventional linacs. Magnetic resonance imaging (MRI) has been integrated with cobalt treatment units and more recently with linacs. In addition to hardware innovation, software development has played a substantial role in the development of motion monitoring methods based on respiratory motion surrogates and planar kV or Megavoltage (MV) imaging that is available on standard equipped linacs. In this paper, we review and compare the different intrafraction motion monitoring methods proposed in the literature and demonstrated in real-time on clinical data as well as their possible future developments. We then discuss general considerations on validation and quality assurance for clinical implementation. Besides photon RT, particle therapy is increasingly used to treat moving targets. However, transferring motion monitoring technologies from linacs to particle beam lines presents substantial challenges. Lessons learned from the implementation of real-time intrafraction monitoring for photon RT will be used as a basis to discuss the implementation of these methods for particle RT.
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Registered trials
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.