Evidence map›Paper›PMID 37591770›Full record

ArticleAJNR. American journal of neuroradiology2023

Brain Maturation Patterns on Normalized FLAIR MR Imaging in Children and Adolescents.

K Chan, A Ghazvanchahi, D Rabba, L Vidarsson, M W Wagner, B B Ertl-Wagner, A Khademi

Open access · hybridAbstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.5field-weighted citation impact, top 33% 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

2 citing papers in PubMed, 2 citations in OpenAlex.

  1. Developmental Curves of the Paediatric Brain Using FLAIR MRI Texture Biomarkers.Canadian Association of Radiologists journal = Journal l'Association canadienne des radiologistes · 2025
    Article
  2. 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 at 2 institutions in 5 countries.

K ChanFrom the Department of Electrical, Computer and Biomedical Engineering (K.C., A.G., D.R., A.K.), Toronto Metropolitan University, Toronto, Ontario, Canada karissa.chan@torontomu.ca.ORCID 0009-0008-5714-9793
A GhazvanchahiFrom the Department of Electrical, Computer and Biomedical Engineering (K.C., A.G., D.R., A.K.), Toronto Metropolitan University, Toronto, Ontario, Canada.ORCID 0000-0001-6667-7469
D RabbaFrom the Department of Electrical, Computer and Biomedical Engineering (K.C., A.G., D.R., A.K.), Toronto Metropolitan University, Toronto, Ontario, Canada.ORCID 0009-0003-0118-9327
L VidarssonDepartment of Diagnostic Imaging (L.V., M.W.W., B.B.E.-W.), Division of Neuroradiology, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0003-1015-7194
M W WagnerDepartment of Diagnostic Imaging (L.V., M.W.W., B.B.E.-W.), Division of Neuroradiology, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0001-6501-839X
B B Ertl-WagnerDepartment of Diagnostic Imaging (L.V., M.W.W., B.B.E.-W.), Division of Neuroradiology, The Hospital for Sick Children, Toronto, Ontario, Canada.ORCID 0000-0002-7896-7049
A KhademiFrom the Department of Electrical, Computer and Biomedical Engineering (K.C., A.G., D.R., A.K.), Toronto Metropolitan University, Toronto, Ontario, Canada.ORCID 0000-0002-4932-0385
St. Michael's Hospital · CAUniversity of Toronto · CA

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

background and purposeSignal analysis of FLAIR sequences is gaining momentum for studying neurodevelopment and brain maturation, but FLAIR intensity varies across scanners and needs to be normalized. This study aimed to establish normative values for standardized FLAIR intensity in the pediatric brain. MATERIALS AND

methodsA new automated algorithm for signal normalization was used to standardize FLAIR intensity across scanners and subjects. Mean intensity was extracted from GM, WM, deep GM, and cortical GM regions. Regression curves were fitted across the pediatric age range, and ANOVA was used to investigate intensity differences across age groups. Correlations between intensity and regional volume were also examined.

resultsWe analyzed 429 pediatric FLAIR sequences in children 2-19 years of age with a median age of 11.2 years, including 199 males and 230 females. WM intensity had a parabolic relationship with age, with significant differences between various age groups (

conclusionsThis work presents a FLAIR intensity standardization algorithm to normalize intensity across large data sets, which allows FLAIR intensity to be used to compare regions and individuals as a surrogate measure of the developing pediatric brain.

Indexed as

AlgorithmsBrainAdolescentChildChild, PreschoolFemaleHumansMagnetic Resonance ImagingMaleMotionSeizures

Identifiers

PMID37591770
PMCPMC10494943
OpenAlexW4385925345

What OpenQuestion holds

Textmetadata
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.