Evidence map›Paper›PMID 38880824›Full record

ArticleNeuroradiology2024

T1 mapping from routine 3D T1-weighted inversion recovery sequences in clinical practice: comparison against reference inversion recovery fast field echo T1 scans and feasibility in multiple sclerosis.

Griffin Young, Vivian S Nguyen, Quentin Howlett-Prieto, Amanda Frisosky Abuaf, Timothy J Carroll, Keigo Kawaji, Adil Javed

Abstract readComparative Study
PubMed Publisher
In one paragraph

Article in Neuroradiology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Griffin YoungBiomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA.
Vivian S NguyenBiomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA.
Quentin Howlett-PrietoDepartment of Neurology and Rehabilitation, University of Illinois at Chicago, Chicago, IL, USA.
Amanda Frisosky AbuafDepartment of Neurology, The University of Wisconsin, Madison, WI, USA.
Timothy J CarrollDepartment of Radiology, The University of Chicago, Chicago, IL, USA.
Keigo KawajiBiomedical Engineering, Illinois Institute of Technology, Chicago, IL, USA.
Adil JavedDepartment of Neurology, The University of Chicago, Chicago, IL, 5841 South Maryland Avenue, MC2030, 60637, USA. ajaved@uchicagomedicine.org.ORCID http://orcid.org/0000-0002-1834-7606

Funding

MR Quantification of Myocardial Oxygen Utilization in Chronic Myocardial Infarction without ContrastK25HL141634 · NHLBI · ILLINOIS INSTITUTE OF TECHNOLOGY · PI KAWAJI, KEIGO · 2019 to 2023
$831k
NHLBI NIH HHS K25 HL141634NIH Blueprint for Neuroscience Research NIH K25 HL141634
6 · The paper itself

Abstract

background and purposeQuantitative T1 mapping can be an essential tool for assessing tissue injury in multiple sclerosis (MS). We introduce T1-REQUIRE, a method that converts a single high-resolution anatomical 3D T1-weighted Turbo Field Echo (3DT1TFE) scan into a parametric T1 map that could be used for quantitative assessment of tissue damage. We present the accuracy and feasibility of this method in MS.

methods14 subjects with relapsing-remitting MS and 10 healthy subjects were examined. T1 maps were generated from 3DT1TFE images using T1-REQUIRE, which estimates T1 values using MR signal equations and internal tissue reference T1 values. Estimated T1 of lesions, white, and gray matter regions were compared with reference Inversion-Recovery Fast Field Echo T1 values and analyzed via correlation and Bland-Altman (BA) statistics.

results159 T1-weighted (T1W) hypointense MS lesions and 288 gray matter regions were examined. T1 values for MS lesions showed a Pearson's correlation of r = 0.81 (p < 0.000), R

conclusionsWe demonstrate the feasibility of retroactively derived high-resolution T1 maps from routinely acquired anatomical images, which could be used to quantify tissue pathology in MS. The results of this study will set the stage for testing this method in larger clinical studies for examining MS disease activity and progression.

Indexed as

Feasibility StudiesImaging, Three-DimensionalMagnetic Resonance ImagingMultiple Sclerosis, Relapsing-RemittingAdultCase-Control StudiesFemaleHumansImage Interpretation, Computer-AssistedMaleMiddle AgedMultiple Sclerosis3DT1-weighted scansIR-FLASHMultiple sclerosisT1 mapping

Identifiers

PMID38880824

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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.