Evidence map›Paper›PMID 38664431›Full record

ArticleScientific data2024

Normative volumes and relaxation times at 3T during brain development.

David Romascano, Gian Franco Piredda, Samuele Caneschi, Tom Hilbert, Ricardo Corredor, Bénédicte Maréchal, Tobias Kober, Jean-Baptiste Ledoux, Eleonora Fornari, Patric Hagmann and 1 more

Open access · goldAbstract readDataset
In one paragraph

Article in Scientific data, 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
1.2field-weighted citation impact, top 22% 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

1 citing paper in PubMed, 3 citations in OpenAlex.

  1. 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

11 authors at 4 institutions in 2 countries.

David RomascanoDepartment of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland. david.romascano@protonmail.com.ORCID 0000-0002-8823-9176
Gian Franco PireddaAdvanced Clinical Imaging Technology, Siemens Healthineers International AG, Lausanne, Switzerland.
Samuele CaneschiDepartment of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland.
Tom HilbertDepartment of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland.
Ricardo CorredorDepartment of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland.
Bénédicte MaréchalDepartment of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland.
Tobias KoberDepartment of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland.
Jean-Baptiste LedouxDepartment of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland.
Eleonora FornariCIBM Center for Biomedical Imaging, Lausanne, Switzerland.
Patric Hagmann *Department of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland.
Solange Denervaud *Department of Radiology, Lausanne University Hospital and University of Lausanne, 1011, Lausanne, Switzerland.
Siemens (Switzerland) · CHCentre d'Imagerie BioMedicale · CHUniversity of Lausanne · CHUniversity Hospital of Bern · CH

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

While research has unveiled and quantified brain markers of abnormal neurodevelopment, clinicians still work with qualitative metrics for MRI brain investigation. The purpose of the current article is to bridge the knowledge gap between case-control cohort studies and individual patient care. Here, we provide a unique dataset of seventy-three 3-to-17 years-old healthy subjects acquired with a 6-minute MRI protocol encompassing T1 and T2 relaxation quantitative sequence that can be readily implemented in the clinical setting; MP2RAGE for T1 mapping and the prototype sequence GRAPPATINI for T2 mapping. White matter and grey matter volumes were automatically quantified. We further provide normative developmental curves based on these two imaging sequences; T1, T2 and volume normative ranges with respect to age were computed, for each ROI of a pediatric brain atlas. This open-source dataset provides normative values allowing to position individual patients acquired with the same protocol on the brain maturation curve and as such provides potentially useful quantitative biomarkers facilitating precise and personalized care.

Indexed as

BrainMagnetic Resonance ImagingAdolescentChildChild, PreschoolFemaleGray MatterHumansMaleWhite Matter

Identifiers

PMID38664431
PMCPMC11045735
OpenAlexW4395464306

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.