Evidence map›Paper›PMID 37969629›Full record

ReviewQuantitative imaging in medicine and surgery2023

Ultra-high-field 7T MRI in Parkinson's disease: ready for clinical use?-a narrative review.

Thomas Welton, Septian Hartono, Yao-Chia Shih, Stefan T Schwarz, Yue Xing, Eng-King Tan, Dorothee P Auer, Noam Harel, Ling-Ling Chan

Open access · diamondAbstract readReview
In one paragraph

Review in Quantitative imaging in medicine and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing papers in PubMed
1.4field-weighted citation impact, top 18% 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

6 citing papers in PubMed, 6 citations in OpenAlex.

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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

9 authors at 6 institutions in 4 countries.

Thomas WeltonNational Neuroscience Institute, Singapore, Singapore.
Septian HartonoNational Neuroscience Institute, Singapore, Singapore.
Yao-Chia ShihDuke-NUS Medical School, Singapore, Singapore.
Stefan T SchwarzMental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK.
Yue XingMental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK.
Eng-King TanNational Neuroscience Institute, Singapore, Singapore.
Dorothee P AuerMental Health and Clinical Neurosciences, School of Medicine, University of Nottingham, Nottingham, UK.
Noam HarelCenter for Magnetic Resonance Research, University of Minnesota, Minneapolis, MN, USA.
Ling-Ling ChanNational Neuroscience Institute, Singapore, Singapore.
Duke-NUS Medical School · SGUniversity of Nottingham · GBCardiff and Vale University Health Board · GBNational Neuroscience Institute · SGUniversity of Minnesota · USYuan Ze University · TW

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger, KAMIL UGURBIL · 2019 to 2026
$11.7M
Understanding Circuit Dynamics in Parkinson's Disease using Real-Time Neural ControlP50NS123109 · NINDS · UNIVERSITY OF MINNESOTA · PI AMAN, JOSHUA E · 2021 to 2025
$11.3M
Algorithms for programming deep brain stimulation systemsR01NS081118 · NINDS · UNIVERSITY OF MINNESOTA · PI HAREL, NOAM, JOHNSON, MATTHEW DOUGLAS · 2012 to 2023
$4.0M
Corticosubthalamic Plasticity in the Parkinsonian StateR01NS113746 · NINDS · EMORY UNIVERSITY · PI HAREL, NOAM, MACKINNON, COLUM D · 2019 to 2023
$3.5M
Computer Aided Diagnostic System for Prostate Cancer Detection Using Quantitative Multiparametric MRIR01CA241159 · NCI · UNIVERSITY OF MINNESOTA · PI METZGER, GREGORY JOHN · 2021 to 2025
$3.0M
7 Tesla Terra InstrumentS10OD025256 · OD · UNIVERSITY OF MINNESOTA · PI HAREL, NOAM · 2018 to 2018
$2.0M
NCI NIH HHS R01 CA241159NIBIB NIH HHS P41 EB027061NIH HHS S10 OD025256NINDS NIH HHS P50 NS123109NINDS NIH HHS R01 NS081118NINDS NIH HHS R01 NS113746
6 · The paper itself

Abstract

Background and Objective: The maturation of ultra-high-field magnetic resonance imaging (MRI) [≥7 Tesla (7T)] has improved our capability to depict and characterise brain structures efficiently, with better signal-to-noise ratio (SNR) and spatial resolution. We evaluated whether these improvements benefit the clinical detection and management of Parkinson's disease (PD). Methods: We performed a literature search in March 2023 in PubMed (MEDLINE), EMBASE and Google Scholar for articles on "7T MRI" AND "Parkinson*", written in English, published between inception and 1st March, 2023, which we synthesised in narrative form. Key Content and Findings: In deep-brain stimulation (DBS) surgical planning, early studies show that 7T MRI can distinguish anatomical substructures, and that this results in reduced adverse effects. In other areas, while there is strong evidence for improved accuracy and precision of 7T MRI-based measurements for PD, there is limited evidence for meaningful clinical translation. In particular, neuromelanin-iron complex quantification and visualisation in midbrain nuclei is enhanced, enabling depiction of nigrosomes 1-5, improved morphometry and vastly improved radiological assessments; however, studies on the related clinical outcomes, diagnosis, subtyping, differentiation of atypical parkinsonisms, and monitoring of treatment response using 7T MRI are lacking. Moreover, improvements in clinical utility must be great enough to justify the additional costs. Conclusions: Together, current evidence supports feasible future clinical implementation of 7T MRI for PD. Future impacts to clinical decision making for diagnosis, differentiation, and monitoring of progression or treatment response are likely; however, to achieve this, further longitudinal studies using 7T MRI are needed in prodromal, early-stage PD and parkinsonism cohorts focusing on clinical translational potential.

Indexed as

7 Tesla (7T)magnetic resonance imaging (MRI)Parkinson’s disease (PD)ultra-high field strength

Identifiers

PMID37969629
PMCPMC10644128
OpenAlexW4387989036

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.