Evidence map›Paper›PMID 34638229›Full record

ReviewCancers2021

Current Applications and Future Development of Magnetic Resonance Fingerprinting in Diagnosis, Characterization, and Response Monitoring in Cancer.

Hao Ding, Carlos Velasco, Huihui Ye, Thomas Lindner, Matthew Grech-Sollars, James O'Callaghan, Crispin Hiley, Manil D Chouhan, Thoralf Niendorf, Dow-Mu Koh and 2 more

Open access · goldAbstract readReview
In one paragraph

Review in Cancers, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed
1.4field-weighted citation impact, top 19% 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

8 citing papers in PubMed, 13 citations in OpenAlex.

  1. Article
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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

12 authors at 10 institutions in 4 countries.

Hao DingImperial College School of Medicine, Faculty of Medicine, Imperial College London, London SW7 2AZ, UK.ORCID 0000-0002-9812-2385
Carlos VelascoSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, London SE1 7EH, UK.
Huihui YeState Key Laboratory of Modern Optical instrumentation, Zhejiang University, Hangzhou 310027, China.ORCID 0000-0002-7563-0352
Thomas LindnerDepartment of Diagnostic and Interventional Neuroradiology, University Hospital Hamburg Eppendorf, 20246 Hamburg, Germany.ORCID 0000-0002-4408-2429
Matthew Grech-SollarsDepartment of Medical Physics, Royal Surrey NHS Foundation Trust, Surrey GU2 7XX, UK.ORCID 0000-0003-3881-4870
James O'CallaghanUCL Centre for Medical Imaging, Division of Medicine, University College London, London W1W 7TS, UK.
Crispin HileyCancer Research UK, Lung Cancer Centre of Excellence, University College London Cancer Institute, London WC1E 6DD, UK.
Manil D ChouhanUCL Centre for Medical Imaging, Division of Medicine, University College London, London W1W 7TS, UK.ORCID 0000-0001-5903-1002
Thoralf NiendorfBerlin Ultrahigh Field Facility (B.U.F.F.), Max Delbrueck, Center for Molecular Medicine in the Helmholtz Association, 13125 Berlin, Germany.ORCID 0000-0001-7584-6527
Dow-Mu KohDivision of Radiotherapy and Imaging, Institute of Cancer Research, London SM2 5NG, UK.
Claudia PrietoSchool of Biomedical Engineering and Imaging Sciences, St Thomas' Hospital, King's College London, London SE1 7EH, UK.
Sola AdelekeHigh Dimensional Neurology Group, Queen's Square Institute of Neurology, University College London, London WC1N 3BG, UK.ORCID 0000-0002-4388-8754
St Thomas' Hospital · GBUniversity College London · GBGuy's Hospital · GBImperial College London · GBInstitute of Cancer Research · GBMax Delbrück Center · DERoyal Surrey NHS Foundation Trust · GBState Key Laboratory of Modern Optical InstrumentsThe Francis Crick Institute · GBUniversität Hamburg · DE

Funding

Cancer Research UK 28990
6 · The paper itself

Abstract

Magnetic resonance imaging (MRI) has enabled non-invasive cancer diagnosis, monitoring, and management in common clinical settings. However, inadequate quantitative analyses in MRI continue to limit its full potential and these often have an impact on clinicians' judgments. Magnetic resonance fingerprinting (MRF) has recently been introduced to acquire multiple quantitative parameters simultaneously in a reasonable timeframe. Initial retrospective studies have demonstrated the feasibility of using MRF for various cancer characterizations. Further trials with larger cohorts are still needed to explore the repeatability and reproducibility of the data acquired by MRF. At the moment, technical difficulties such as undesirable processing time or lack of motion robustness are limiting further implementations of MRF in clinical oncology. This review summarises the latest findings and technology developments for the use of MRF in cancer management and suggests possible future implications of MRF in characterizing tumour heterogeneity and response assessment.

Indexed as

abdominal neoplasmsbrain neoplasmsdeep learningimage-guidedmagnetic resonance imagingmultiparametric magnetic resonance imagingprostatic neoplasmsradiotherapy

Identifiers

PMID34638229
PMCPMC8507535
OpenAlexW3204343619

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.