Evidence map›Paper›PMID 38453413›Full record

ArticleAJNR. American journal of neuroradiology2024

Clinical Evaluation of a 2-Minute Ultrafast Brain MR Protocol for Evaluation of Acute Pathology in the Emergency and Inpatient Settings.

Min Lang, Bryan Clifford, Wei-Ching Lo, Brooks P Applewhite, Azadeh Tabari, Augusto Lio M Goncalves Filho, Zahra Hosseini, Maria Gabriela Figueiro Longo, Stephen F Cauley, Kawin Setsompop and 7 more

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing 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

4 citing papers in PubMed.

  1. Article
  2. Article
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  4. 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

17 authors.

Min LangFrom the Department of Radiology (M.L., B.P.A., A.T., M.G.F.L., M.H.L., P.W.S., O.R., S.Y.H., J.C.), Massachusetts General Hospital, Boston, Massachusetts mlang@mgh.harvard.edu.ORCID 0000-0002-3895-5342
Bryan CliffordSiemens Medical Solutions (B.C., W.-C.L., Z.H., S.F.C.), Boston, Massachusetts.ORCID 0000-0002-1966-0581
Wei-Ching LoSiemens Medical Solutions (B.C., W.-C.L., Z.H., S.F.C.), Boston, Massachusetts.ORCID 0000-0002-1893-0500
Brooks P ApplewhiteFrom the Department of Radiology (M.L., B.P.A., A.T., M.G.F.L., M.H.L., P.W.S., O.R., S.Y.H., J.C.), Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0001-6514-2542
Azadeh TabariFrom the Department of Radiology (M.L., B.P.A., A.T., M.G.F.L., M.H.L., P.W.S., O.R., S.Y.H., J.C.), Massachusetts General Hospital, Boston, Massachusetts.
Augusto Lio M Goncalves FilhoDepartment of Radiology (A.L.M.G.F.), University of Ottawa, Ottawa, Ontario, Canada.ORCID 0000-0002-5092-2754
Zahra HosseiniSiemens Medical Solutions (B.C., W.-C.L., Z.H., S.F.C.), Boston, Massachusetts.ORCID 0000-0003-2674-967X
Maria Gabriela Figueiro LongoFrom the Department of Radiology (M.L., B.P.A., A.T., M.G.F.L., M.H.L., P.W.S., O.R., S.Y.H., J.C.), Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0001-6819-4890
Stephen F CauleySiemens Medical Solutions (B.C., W.-C.L., Z.H., S.F.C.), Boston, Massachusetts.ORCID 0000-0002-6147-6016
Kawin SetsompopDepartments of Radiology and Electrical Engineering (K.S.), Stanford University, Stanford, California.ORCID 0000-0003-0455-7634
Berkin BilgicHarvard-MIT Health Sciences and Technology (S.F.C., B.B., S.Y.H.), Massachusetts Institute of Technology, Cambridge, Massachusetts.ORCID 0000-0002-9080-7865
Thorsten FeiweierSiemens Healthcare GmbH (T.F.), Erlangen, Germany.ORCID 0009-0005-3537-9844
Michael H LevFrom the Department of Radiology (M.L., B.P.A., A.T., M.G.F.L., M.H.L., P.W.S., O.R., S.Y.H., J.C.), Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0003-0236-7319
Pamela W SchaeferFrom the Department of Radiology (M.L., B.P.A., A.T., M.G.F.L., M.H.L., P.W.S., O.R., S.Y.H., J.C.), Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0002-4222-6134
Otto RapalinoFrom the Department of Radiology (M.L., B.P.A., A.T., M.G.F.L., M.H.L., P.W.S., O.R., S.Y.H., J.C.), Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0002-5038-4183
Susie Y HuangFrom the Department of Radiology (M.L., B.P.A., A.T., M.G.F.L., M.H.L., P.W.S., O.R., S.Y.H., J.C.), Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0003-2950-7254
John ConklinFrom the Department of Radiology (M.L., B.P.A., A.T., M.G.F.L., M.H.L., P.W.S., O.R., S.Y.H., J.C.), Massachusetts General Hospital, Boston, Massachusetts.ORCID 0000-0001-9921-2086

Funding

Training and Dissemination CoreP41EB030006 · NIBIB · MASSACHUSETTS GENERAL HOSPITAL · PI Susie Yi Huang, BRUCE R ROSEN · 2020 to 2026
$10.9M
NIBIB NIH HHS P41 EB030006
6 · The paper itself

Abstract

background and purposeThe use of MR imaging in emergency settings has been limited by availability, long scan times, and sensitivity to motion. This study assessed the diagnostic performance of an ultrafast brain MR imaging protocol for evaluation of acute intracranial pathology in the emergency department and inpatient settings. MATERIALS AND

methodsSixty-six adult patients who underwent brain MR imaging in the emergency department and inpatient settings were included in the study. All patients underwent both the reference and the ultrafast brain MR protocols. Both brain MR imaging protocols consisted of T1-weighted, T2/T2*-weighted, FLAIR, and DWI sequences. The ultrafast MR images were reconstructed by using a machine-learning assisted framework. All images were reviewed by 2 blinded neuroradiologists.

resultsThe average acquisition time was 2.1 minutes for the ultrafast brain MR protocol and 10 minutes for the reference brain MR protocol. There was 98.5% agreement on the main clinical diagnosis between the 2 protocols. In head-to-head comparison, the reference protocol was preferred in terms of image noise and geometric distortion (

conclusionsThe ultrafast brain MR imaging protocol provides high accuracy for evaluating acute pathology while only requiring a fraction of the scan time. Although there was greater image noise and geometric distortion on the ultrafast brain MR protocol images, there was significant reduction in motion artifacts with similar overall diagnostic quality between the 2 protocols.

Indexed as

Brain DiseasesInpatientsAdultBrainHumansMagnetic Resonance ImagingTime

Identifiers

PMID38453413
PMCPMC11288578

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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.