ReviewPhysics in medicine and biology2018
MRI-only treatment planning: benefits and challenges.
Review in Physics in medicine and biology, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 123 papers, 2 of them syntheses that pooled it.
What it found
Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.
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
123 citing papers in PubMed, 2 syntheses or guidelines pooled it, 233 citations in OpenAlex.
- A systematic literature review: deep learning techniques for synthetic medical image generation and their applications in radiotherapy.Frontiers in radiology · 2024Pooled it
- Quality requirements for MRI simulation in cranial stereotactic radiotherapy: a guideline from the German Taskforce "Imaging in Stereotactic Radiotherapy".Strahlentherapie und Onkologie : Organ der Deutschen Rontgengesellschaft ... [et al] · 2024Guideline
- Clinical validation of MR imaging time reduction for substitute/synthetic CT generation for prostate MRI-only treatment planning.Physical and engineering sciences in medicine · 2023Trial
- MR-PROTECT: Clinical feasibility of a prostate MRI-only radiotherapy treatment workflow and investigation of acceptance criteria.Radiation oncology (London, England) · 2020Trial
- Application of synthetic computed tomography based on a deep learning model in pelvic radiotherapy planning: A feasibility study.Journal of applied clinical medical physics · 2026Article
- Evaluation-design effects and reference-CT-defined HU-class errors in brain MRI-to-CT synthesis on SynthRAD2023: a technical note.Radiological physics and technology · 2026Article
- Evaluation of AI-based segmentation and synthetic CT generation for MRI-only prostate radiotherapy planning.Journal of applied clinical medical physics · 2026Article
- Role of magnetic resonance in bowel pathologies: Beyond inflammatory bowel disease.World journal of radiology · 2026Review
- Synthetic CT imaging for pelvic and abdominal MR-only radiotherapy: Clinical validation on a 1.5T MR-Linac.Journal of applied clinical medical physics · 2026Article
- Automated MR-only radiotherapy outperforms CT-based radiotherapy and decreases hands-on time for head-and-neck cancer treatment.Clinical and translational radiation oncology · 2026Article
- Clinical validation of a high-definition mid-position magnetic resonance imaging approach for lung radiotherapy planning.Medical physics · 2026Article
- Article
- Step-by-step assessment of MRI-only workflow in pelvic radiotherapy: feasibility and practical implementation.La Radiologia medica · 2026Article
- Development and implementation of an MRI-only simulation, planning, and treatment workflow for prostate radiotherapy using synthetic CT on MR-linac.Journal of applied clinical medical physics · 2026Article
- Dosimetric evaluation of magnetic resonance imaging based synthetic computed tomography for head and neck photon and proton therapy.Journal of applied clinical medical physics · 2025Article
- Deep Learning for CT Synthesis in Radiotherapy.Bioengineering (Basel, Switzerland) · 2025Review
- Clinical implementation of deep learning-based synthetic CT for MRI-only volumetric modulated arc therapy in head and neck and pelvic cancer patients.Radiation oncology (London, England) · 2025Article
- Validating clinical feasibility of MRCAT and deep learning-based synthetic CT images for cervical cancer patient.Journal of applied clinical medical physics · 2025Article
- Burnout and the Brain-A Mechanistic Review of Magnetic Resonance Imaging (MRI) Studies.International journal of molecular sciences · 2025Review
- A dynamic reconstruction and motion estimation framework for cardiorespiratory motion-resolved real-time volumetric MR imaging (DREME-MR).Physics in medicine and biology · 2025Article
63 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
3 authors at 3 institutions in 2 countries.
Funding
Abstract
Over the past decade, the application of magnetic resonance imaging (MRI) has increased, and there is growing evidence to suggest that improvements in the accuracy of target delineation in MRI-guided radiation therapy may improve clinical outcomes in a variety of cancer types. However, some considerations should be recognized including patient motion during image acquisition and geometric accuracy of images. Moreover, MR-compatible immobilization devices need to be used when acquiring images in the treatment position while minimizing patient motion during the scan time. Finally, synthetic CT images (i.e. electron density maps) and digitally reconstructed radiograph images should be generated from MRI images for dose calculation and image guidance prior to treatment. A short review of the concepts and techniques that have been developed for implementation of MRI-only workflows in radiation therapy is provided in this document.
Indexed as
Identifiers
What OpenQuestion holds
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.