Evidence map›Paper›PMID 36918884›Full record

SynthesisRadiation oncology (London, England)2023

Clinical application of MR-Linac in tumor radiotherapy: a systematic review.

Xin Liu, Zhenjiang Li, Yong Yin

Open access · goldFull text readSystematic Review
In one paragraph

Synthesis in Radiation oncology (London, England), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 26 papers.

0numbers the graph read from it
0cells of the map it votes in
26citing papers in PubMed
14.0field-weighted citation impact, top 1% of its field
1 · What the graph read from 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.

2 · The registry

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.

3 · Its place in the literature

Who cites it

26 citing papers in PubMed, 39 citations in OpenAlex.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Article
  7. Observational
  8. Article
  9. Article
  10. Article
  11. Article
  12. Article
  13. Article
  14. Article
  15. Review
  16. Article
  17. Hyperpolarized MRI theranostics in cancer.Frontiers in oncology · 2025
    Article
  18. Article
  19. Article
  20. Review
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

3 authors at 1 institution in 1 country.

Xin LiuDepartment of Oncology, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China.
Zhenjiang LiDepartment of Radiation Physics, Shandong Cancer Hospital and Institute, Shandong First Medical University and Shandong Academy of Medical Sciences, Jinan, 250117, China. zhenjli1987@163.com.
Yong YinDepartment of Oncology, Affiliated Hospital of Southwest Medical University, Luzhou, 646000, China. yinyongsd@126.com.
Shandong First Medical University · CN

Funding

Academic promotion pro-gram of Shandong First Medical University 2019LJ004National Natural Science Foundation of China under Grants 82102173Shandong Medical Association Clinical Research Fund - Qilu Special Project YXH2022ZX02198Taishan Scholars Program of Shandong Province ts20120505
6 · The paper itself

Abstract

Recent years have seen both a fresh knowledge of cancer and impressive advancements in its treatment. However, the clinical treatment paradigm of cancer is still difficult to implement in the twenty-first century due to the rise in its prevalence. Radiotherapy (RT) is a crucial component of cancer treatment that is helpful for almost all cancer types. The accuracy of RT dosage delivery is increasing as a result of the quick development of computer and imaging technology. The use of image-guided radiation (IGRT) has improved cancer outcomes and decreased toxicity. Online adaptive radiotherapy will be made possible by magnetic resonance imaging-guided radiotherapy (MRgRT) using a magnetic resonance linear accelerator (MR-Linac), which will enhance the visibility of malignancies. This review's objectives are to examine the benefits of MR-Linac as a treatment approach from the perspective of various cancer patients' prognoses and to suggest prospective development areas for additional study.

Indexed as

NeoplasmsRadiotherapy, Image-GuidedHumansMagnetic Resonance ImagingParticle AcceleratorsProspective StudiesRadiotherapy DosageRadiotherapy Planning, Computer-AssistedCancerMRgRTMR-LinacRadiotherapyTumor

Identifiers

PMID36918884
PMCPMC10015924
OpenAlexW4324139369

What OpenQuestion holds

Textfull text, public
LicenceCC BY
measurements read27
Read underepoch 390

Registered trials

None linked

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.