Evidence map›Paper›PMID 42609916›Full record

ArticleImaging neuroscience (Cambridge, Mass.)

Data quality biases normative models derived from fetal brain MRI.

Thomas Sanchez, Angeline Mihailov, Gerard Martí-Juan, Nadine Girard, Aurélie Manchon, Mathieu Milh, Elisenda Eixarch, Vincent Dunet, Mériam Koob, Léo Pomar and 6 more

Abstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Imaging neuroscience (Cambridge, Mass.). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

16 authors.

Thomas SanchezCIBM Center for Biomedical Imaging, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-3668-5155
Angeline MihailovInstitut de Neurosciences de la Timone, CNRS, Aix-Marseille Université, Marseille, France.ORCID https://orcid.org/0000-0001-7556-4108
Gerard Martí-JuanBCN MedTech, Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain.ORCID https://orcid.org/0000-0003-4729-7182
Nadine GirardInstitut de Neurosciences de la Timone, CNRS, Aix-Marseille Université, Marseille, France.ORCID https://orcid.org/0000-0001-8639-9275
Aurélie ManchonInstitut de Neurosciences de la Timone, CNRS, Aix-Marseille Université, Marseille, France.ORCID https://orcid.org/0009-0006-7440-2581
Mathieu MilhAPHM, Service de Neurologie Pédiatrique, Hôpital de la Timone, Aix-Marseille University, Marseille, France.ORCID https://orcid.org/0000-0002-2454-8543
Elisenda EixarchBCNatal | Fetal Medicine Research Center (Hospital Clínic and Hospital Sant Joan de Déu, Universitat de Barcelona), Barcelona, Spain.ORCID https://orcid.org/0000-0001-7379-9608
Vincent DunetDepartment of Medical Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-9897-4561
Mériam KoobDepartment of Medical Radiology, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-3594-6272
Léo PomarDepartment Woman-Mother-Child, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-3021-8129
Joanna SichitiuDepartment Woman-Mother-Child, Lausanne University Hospital and University of Lausanne, Lausanne, Switzerland.ORCID https://orcid.org/0000-0002-4453-1167
Miguel A González BallesterBCN MedTech, Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain.ORCID https://orcid.org/0000-0002-9227-6826
Oscar CamaraBCN MedTech, Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain.ORCID https://orcid.org/0000-0002-5125-6132
Gemma PiellaBCN MedTech, Department of Engineering, Universitat Pompeu Fabra, Barcelona, Spain.ORCID https://orcid.org/0000-0001-5236-5819
Meritxell Bach CuadraCIBM Center for Biomedical Imaging, Lausanne, Switzerland.ORCID https://orcid.org/0000-0003-2730-4285
Guillaume AuziasInstitut de Neurosciences de la Timone, CNRS, Aix-Marseille Université, Marseille, France.ORCID https://orcid.org/0000-0002-0414-5691

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Normative modeling is increasingly used to characterize typical growth trajectories and identify atypical neurodevelopment, including early brain development using magnetic resonance imaging (MRI) acquired before birth. Recent work has emphasized the importance of large sample sizes for accurate and robust centile estimation. In this study, we investigate how image quality influences fetal brain normative models, a critical factor in this context where MRI is acquired on a moving fetus

Indexed as

brain MRIfetalimage artifactsnormative modelingquality control

Identifiers

PMID42609916
PMCPMC13479347

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Registered trials

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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.