Evidence map›Paper›PMID 28612288›Full record

ReviewJapanese journal of radiology2017

Magnetic resonance image guidance in external beam radiation therapy planning and delivery.

Ilamurugu Arivarasan, Chandrasekaran Anuradha, Shanmuga Subramanian, Ayyalusamy Anantharaman, Velayudham Ramasubramanian

Abstract readReview
PubMed Publisher
In one paragraph

Review in Japanese journal of radiology, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
–field-weighted citation impact
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

5 citing papers in PubMed.

  1. Review
  2. Real-time marker-less tumor tracking with TOF PET:Physics in medicine and biology · 2022
    Article
  3. Article
  4. Image-guided radiotherapy for prostate cancer.Translational andrology and urology · 2018
    Review
  5. 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

5 authors.

Ilamurugu ArivarasanDepartment of Radiation Oncology, Yashoda Cancer Institute, Yashoda Hospitals, Nalgonda X Roads, Hyderabad, 500036, India. arivarasan2016@outlook.com.ORCID http://orcid.org/0000-0002-3242-6036
Chandrasekaran AnuradhaSchool of Advanced Sciences, VIT University, Vellore, India.
Shanmuga SubramanianDepartment of Radiation Oncology, Yashoda Hospitals, Hyderabad, India.
Ayyalusamy AnantharamanDepartment of Radiation Oncology, Yashoda Hospitals, Hyderabad, India.
Velayudham RamasubramanianSchool of Advanced Sciences, VIT University, Vellore, India.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

The use of magnetic resonance (MR) imaging in radiation oncology is improving dramatically. This review article discusses the necessity of image guidance and how MR finds a significant place in radiotherapy planning and delivery. The challenges to and current solutions for an in-house MR simulation, dedicated MR simulator, estimation of electron density using MR image sets and development of MR-compatible treatment planning systems are presented. This article also reviews the feasibility, advantages and limitations of MR image-guided radiation therapy (MR-IGRT) and its drive toward the integration of radiation beams with MR technology. Specifications of Co-60 MR technology and three other MR-linac projects worldwide are presented. Online and real-time MR guidance is also discussed.

Indexed as

Magnetic Resonance Imaging, InterventionalHumansRadiotherapy, Image-GuidedRadiotherapy Planning, Computer-AssistedMagnetic resonance imagingMR-IGRTMR image guidanceMR-LinacMR simulator

Identifiers

PMID28612288

What OpenQuestion holds

Textmetadata
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.