ReviewTranslational lung cancer research2017
Magnetic resonance imaging in precision radiation therapy for lung cancer.
Review in Translational lung cancer research, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 33 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.
Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.
Who cites it
33 citing papers in PubMed, 69 citations in OpenAlex.
- Mid-position treatment strategy for locally advanced lung cancer: a dosimetric study.The British journal of radiology · 2020Trial
- MR-Guided Adaptive Radiotherapy in Lung Cancer: Current Landscape and Future Directions.Cancers · 2026Review
- Magnetic resonance imaging thoracic organ-at-risk atlas for radiation oncology.Physics and imaging in radiation oncology · 2026Article
- Recommendations for contouring of gross tumour volume for locally advanced lung cancer using magnetic resonance imaging.Physics and imaging in radiation oncology · 2026Article
- Optimizing thoracic synthetic computed tomography generation from magnetic resonance imaging: the role of Fourier transform and other key factors.Physics and imaging in radiation oncology · 2026Article
- Review
- Deep Learning-Based Cardiac Chamber Segmentation in Magnetic Resonance-Guided Adaptive Radiation Therapy.Advances in radiation oncology · 2025Article
- Key technologies and challenges in online adaptive radiotherapy for lung cancer.Chinese medical journal · 2025Review
- Conference Report: Review of Clinical Implementation of Advanced Quantitative Imaging Techniques for Personalized Radiotherapy.Tomography (Ann Arbor, Mich.) · 2024Article
- Review
- Correlation of KJournal for immunotherapy of cancer · 2024Article
- Stereotactic body radiotherapy of central lung tumours using a 1.5 T MR-linac: First clinical experiences.Clinical and translational radiation oncology · 2024Article
- History of Technological Advancements towards MR-Linac: The Future of Image-Guided Radiotherapy.Journal of clinical medicine · 2022Review
- Towards mid-position based Stereotactic Body Radiation Therapy using online magnetic resonance imaging guidance for central lung tumours.Physics and imaging in radiation oncology · 2022Article
- Pulmonary Functional Imaging: Part 2-State-of-the-Art Clinical Applications and Opportunities for Improved Patient Care.Radiology · 2021Review
- Rapid 4D-MRI reconstruction using a deep radial convolutional neural network: Dracula.Radiotherapy and oncology : journal of the European Society for Therapeutic Radiology and Oncology · 2021Article
- Thoracic radiotherapy in small cell lung cancer-a narrative review.Translational lung cancer research · 2021Review
- Challenges in the target volume definition of lung cancer radiotherapy.Translational lung cancer research · 2021Review
- Epithelial-to-Mesenchymal Transition in Pancreatic Cancer is associated with Restricted Water Diffusion in Diffusion-Weighted Magnetic Resonance Imaging.Journal of Cancer · 2021Article
- Initial Clinical Experience of MR-Guided Radiotherapy for Non-Small Cell Lung Cancer.Frontiers in oncology · 2021Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
10 authors at 6 institutions in 2 countries.
Funding
Abstract
Radiotherapy remains the cornerstone of curative treatment for inoperable locally advanced lung cancer, given concomitantly with platinum-based chemotherapy. With poor overall survival, research efforts continue to explore whether integration of advanced radiation techniques will assist safe treatment intensification with the potential for improving outcomes. One advance is the integration of magnetic resonance imaging (MRI) in the treatment pathway, providing anatomical and functional information with excellent soft tissue contrast without exposure of the patient to radiation. MRI may complement or improve the diagnostic staging accuracy of F-18 fluorodeoxyglucose position emission tomography and computerized tomography imaging, particularly in assessing local tumour invasion and is also effective for identification of nodal and distant metastatic disease. Incorporating anatomical MRI sequences into lung radiotherapy treatment planning is a novel application and may improve target volume and organs at risk delineation reproducibility. Furthermore, functional MRI may facilitate dose painting for heterogeneous target volumes and prediction of normal tissue toxicity to guide adaptive strategies. MRI sequences are rapidly developing and although the issue of intra-thoracic motion has historically hindered the quality of MRI due to the effect of motion, progress is being made in this field. Four-dimensional MRI has the potential to complement or supersede 4D CT and 4D F-18-FDG PET, by providing superior spatial resolution. A number of MR-guided radiotherapy delivery units are now available, combining a radiotherapy delivery machine (linear accelerator or cobalt-60 unit) with MRI at varying magnetic field strengths. This novel hybrid technology is evolving with many technical challenges to overcome. It is anticipated that the clinical benefits of MR-guided radiotherapy will be derived from the ability to adapt treatment on the fly for each fraction and in real-time, using 'beam-on' imaging. The lung tumour site group of the Atlantic MR-Linac consortium is working to generate a challenging MR-guided adaptive workflow for multi-institution treatment intensification trials in this patient group.
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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.