Evidence map›Paper›PMID 37377363›Full record

ArticleAJR. American journal of roentgenology2023

Use of a Commercial 7-T MRI Scanner for Clinical Brain Imaging: Indications, Protocols, Challenges, and Solutions-A Single-Center Experience.

Can Özütemiz, Matthew White, Wendy Elvendahl, Yigitcan Eryaman, Małgorzata Marjańska, Gregory J Metzger, Rémi Patriat, Jeramy Kulesa, Noam Harel, Yoichi Watanabe and 3 more

Open access · bronzeAbstract read
In one paragraph

Article in AJR. American journal of roentgenology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 27 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
27citing papers in PubMed, 1 pooled it
8.5field-weighted citation impact, top 2% 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

27 citing papers in PubMed, 1 synthesis or guideline pooled it, 37 citations in OpenAlex.

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4 · The record

Corrections and comments

5 · Who and what money

Authors and funding

13 authors at 2 institutions in 1 country.

Can ÖzütemizDepartment of Radiology, University of Minnesota, 420 Delaware St SE, MMC 292, Minneapolis, MN 55455.
Matthew WhiteCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN.
Wendy ElvendahlCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN.
Yigitcan EryamanCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN.
Małgorzata MarjańskaCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN.
Gregory J MetzgerCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN.
Rémi PatriatCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN.
Jeramy KulesaCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN.
Noam HarelCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN.
Yoichi WatanabeDepartment of Radiation Oncology, University of Minnesota, Minneapolis, MN.
Andrea GrantCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN.
Guglielmo GenoveseCenter for Magnetic Resonance Research, Department of Radiology, University of Minnesota, Minneapolis, MN.
Zuzan CayciDepartment of Radiology, University of Minnesota, 420 Delaware St SE, MMC 292, Minneapolis, MN 55455.
University of Minnesota · USResonance Research (United States) · US

Funding

TRD4 - Ultrahigh Field Engineering and SafetyP41EB027061 · NIBIB · UNIVERSITY OF MINNESOTA · PI Gregory John Metzger, KAMIL UGURBIL · 2019 to 2026
$11.7M
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
Safe Magnetic Resonance Imaging of Patients with Deep Brain Stimulation SystemsR01NS115180 · NINDS · UNIVERSITY OF MINNESOTA · PI ERYAMAN, YIGITCAN · 2020 to 2024
$1.9M
NCI NIH HHS R01 CA241159NIBIB NIH HHS P41 EB027061NINDS NIH HHS R01 NS115180
6 · The paper itself

Abstract

The first commercially available 7-T MRI scanner (Magnetom Terra) was approved by the FDA in 2017 for clinical imaging of the brain and knee. After initial protocol development and sequence optimization efforts in volunteers, the 7-T system, in combination with an FDA-approved 1-channel transmit/32-channel receive array head coil, can now be routinely used for clinical brain MRI examinations. The ultrahigh field strength of 7-T MRI has the advantages of improved spatial resolution, increased SNR, and increased CNR but also introduces an array of new technical challenges. The purpose of this article is to describe an institutional experience with the use of the commercially available 7-T MRI scanner for routine clinical brain imaging. Specific clinical indications for which 7-T MRI may be useful for brain imaging include brain tumor evaluation with possible perfusion imaging and/or spectroscopy, radiotherapy planning; evaluation of multiple sclerosis and other demyelinating diseases, evaluation of Parkinson disease and guidance of deep brain stimulator placement, high-detail intracranial MRA and vessel wall imaging, evaluation of pituitary pathology, and evaluation of epilepsy. Detailed protocols, including sequence parameters, for these various indications are presented, and implementation challenges (including artifacts, safety, and side effects) and potential solutions are explored.

Indexed as

Brain NeoplasmsEpilepsyBrainHumansMagnetic Resonance ImagingNeuroimaging7 Tbrain imagingMRIneuroradiology

Identifiers

PMID37377363
PMCPMC10825876
OpenAlexW4382344965

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.