Evidence map›Paper›PMID 31614288›Full record

ReviewEuropean journal of cancer (Oxford, England : 1990)2019

The transformation of radiation oncology using real-time magnetic resonance guidance: A review.

William A Hall, Eric S Paulson, Uulke A van der Heide, Clifton D Fuller, B W Raaymakers, Jan J W Lagendijk, X Allen Li, David A Jaffray, Laura A Dawson, Beth Erickson and 12 more

Open access · greenAbstract readReview
In one paragraph

Review in European journal of cancer (Oxford, England : 1990), 2019. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 111 papers.

0numbers the graph read from it
0cells of the map it votes in
111citing papers in PubMed
29.8field-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

111 citing papers in PubMed, 177 citations in OpenAlex.

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51 more citing papers are in PubMed but not listed here.

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

22 authors at 13 institutions in 4 countries.

William A HallMedical College of Wisconsin, Department of Radiation Oncology, USA. Electronic address: whall@mcw.edu.
Eric S PaulsonMedical College of Wisconsin, Department of Radiation Oncology, USA.
Uulke A van der HeideNetherlands Cancer Institute, the Netherlands.
Clifton D FullerUniversity of Texas, MD Anderson Cancer Center, USA; Netherlands Cancer Institute, the Netherlands.
B W RaaymakersUMC Utrecht, Department of Radiotherapy, the Netherlands.
Jan J W LagendijkUMC Utrecht, Department of Radiotherapy, the Netherlands.
X Allen LiMedical College of Wisconsin, Department of Radiation Oncology, USA.
David A JaffrayPrincess Margaret Cancer Centre, University of Toronto, Canada.
Laura A DawsonPrincess Margaret Cancer Centre, University of Toronto, Canada.
Beth EricksonMedical College of Wisconsin, Department of Radiation Oncology, USA.
Marcel VerheijRadbound University Medical Center, Nijmegen, the Netherlands.
Kevin J HarringtonThe Institute of Cancer Research, The Royal Marsden NHS Foundation Trust, UK.
Arjun SahgalSunnybrook Health Sciences Centre, University of Toronto, Canada.
Percy LeeUniversity of California, Los Angeles, USA.
Parag J ParikhHenry Ford Cancer Institute, Detroit, USA.
Michael F BassettiUniversity of Wisconsin, Madison, USA.
Clifford G RobinsonWashington University School of Medicine, USA.
Bruce D MinskyUniversity of Texas, MD Anderson Cancer Center, USA.
Ananya ChoudhuryUniversity of Manchester, The Christie NHS Foundation Trust, UK.
Robert J H A TersteegUMC Utrecht, Department of Radiotherapy, the Netherlands.
Christopher J SchultzMedical College of Wisconsin, Department of Radiation Oncology, USA.
MR Linac Atlantic Consortium and the ViewRay C2T2 Research Consortium
Medical College of Wisconsin · USUniversity Medical Center Utrecht · NLThe University of Texas MD Anderson Cancer Center · USHealth Sciences Centre · CAHenry Ford Hospital · USPrincess Margaret Cancer Centre · CARadboud University Nijmegen · NLRoyal Marsden NHS Foundation Trust · GBThe Netherlands Cancer Institute · NLUniversity of California, Los Angeles · USUniversity of Manchester · GBUniversity of Toronto · CAUniversity of Wisconsin–Madison · US

Funding

Tumor Evolution and Metastasis ProgramP30CA016672 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI Fabien Delerue · 1985 to 2026
$290.8M
Targeting the p53 pathway for reversal of oral premalignancyP50CA097007 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI MILLS, GORDON B. · 2002 to 2012
$26.1M
Development of functional magnetic resonance imaging-guided adaptive radiotherapy for head and neck cancer patients using novel MR-Linac deviceR01DE028290 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI CHRISTODOULEAS, JOHN PAUL, FULLER, CLIFTON DAVID · 2019 to 2023
$4.3M
SCH: Personalized Rescheduling of Adaptive Radiation Therapy for Head & Neck CancerR01CA257814 · NCI · RICE UNIVERSITY · PI FULLER, CLIFTON DAVID, SCHAEFER, ANDREW J · 2021 to 2024
$1.8M
SMART-ACT: Spatial Methodologic Approaches for Risk Assessment and Therapeutic Adaptation in Cancer TreatmentR01CA214825 · NCI · UNIVERSITY OF ILLINOIS AT CHICAGO · PI CANAHUATE, GUADALUPE, FULLER, CLIFTON DAVID · 2017 to 2019
$1.1M
imaging Radiation-Associated Dysphagia (iRAD)R01CA218148 · NCI · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI FULLER, CLIFTON DAVID, HUTCHESON, KATHERINE ARNOLD · 2017 to 2019
$810k
Using Dynamic Contrast-Enhanced Magnetic Resonance Imaging (DCE-MRI) to Establish Objective Clinical Outcome Measures for Mandibular OsteoradionecrosisR56DE025248 · NIDCR · UNIVERSITY OF TX MD ANDERSON CAN CTR · PI LAI, STEPHEN Y · 2015 to 2015
$470k
Cancer Research UK 21993Medical Research Council MC_EX_MR/M009068/1Medical Research Council MR/M009068/1NCI NIH HHS P30 CA016672NCI NIH HHS P50 CA097007NCI NIH HHS R01 CA214825NCI NIH HHS R01 CA218148NCI NIH HHS R01 CA257814NIDCR NIH HHS R01 DE028290NIDCR NIH HHS R56 DE025248
6 · The paper itself

Abstract

Radiation therapy (RT) is an essential component of effective cancer care and is used across nearly all cancer types. The delivery of RT is becoming more precise through rapid advances in both computing and imaging. The direct integration of magnetic resonance imaging (MRI) with linear accelerators represents an exciting development with the potential to dramatically impact cancer research and treatment. These impacts extend beyond improved imaging and dose deposition. Real-time MRI-guided RT is actively transforming the work flows and capabilities of virtually every aspect of RT. It has the opportunity to change entirely the delivery methods and response assessments of numerous malignancies. This review intends to approach the topic of MRI-based RT guidance from a vendor neutral and international perspective. It also aims to provide an introduction to this topic targeted towards oncologists without a speciality focus in RT. Speciality implications, areas for physician education and research opportunities are identified as they are associated with MRI-guided RT. The uniquely disruptive implications of MRI-guided RT are discussed and placed in context. We further aim to describe and outline important future changes to the speciality of radiation oncology that will occur with MRI-guided RT. The impacts on RT caused by MRI guidance include target identification, RT planning, quality assurance, treatment delivery, training, clinical workflow, tumour response assessment and treatment scheduling. In addition, entirely novel research areas that may be enabled by MRI guidance are identified for future investigation.

Indexed as

Radiation OncologyHumansMagnetic Resonance ImagingQuality Assurance, Health CareRadiotherapy, Image-GuidedBiologically guided radiation therapyElekta UnityImage guidanceMR-guided radiation therapyMRI and radiation therapyNovel radiation technologyView ray

Identifiers

PMID31614288
PMCPMC8447225
OpenAlexW2975664877

What OpenQuestion holds

Textmetadata
LicenceTDM
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.