Evidence map›Paper›PMID 42140826›Full record

ReviewPlacenta2026

Recent innovations in placental MRI: Integrating visualization and functional imaging.

Esra Abaci Turk, Borjan Gagoski, Polina Golland, P Ellen Grant

Abstract readReview
In one paragraph

Review in Placenta, 2026. 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

4 authors.

Esra Abaci TurkFetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA. Electronic address: esra.abaciturk@childrens.harvard.edu.
Borjan GagoskiFetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.
Polina GollandDepartment of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA, USA; Computer Science and Artificial Intelligence Laboratory (CSAIL), Massachusetts Institute of Technology, Cambridge, MA, USA.
P Ellen GrantFetal-Neonatal Neuroimaging & Developmental Science Center, Boston Children's Hospital, Harvard Medical School, Boston, MA, USA.

Funding

Advanced Fetal ImagingR01EB017337 · NIBIB · BOSTON CHILDREN'S HOSPITAL · PI ADALSTEINSSON, ELFAR, GRANT, PATRICIA ELLEN · 2014 to 2018
$6.2M
Developing novel MR tools to optimize surgical planning and fetal outcome in TTTSR01HD114338 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI ELFAR ADALSTEINSSON, Patricia Ellen Grant · 2024 to 2026
$2.2M
Characterizing the Relationship between Uterine Activity and Placental Function Across Pregnancy with MRIR21HD106553 · NICHD · BOSTON CHILDREN'S HOSPITAL · PI ABACI TURK, ESRA · 2022 to 2023
$497k
NIBIB NIH HHS R01 EB017337NICHD NIH HHS R01 HD114338NICHD NIH HHS R21 HD106553
6 · The paper itself

Abstract

The placenta is a highly specialized organ that regulates oxygen, nutrient, and waste exchange between the maternal and fetal circulations and is essential for normal fetal development and pregnancy outcome. Placental dysfunction underlies many obstetric complications, including fetal growth restriction, pre-eclampsia, congenital heart disease, and stillbirth, yet in vivo assessment of placental structure and function remains limited in routine clinical care. Magnetic resonance imaging (MRI) has emerged as a powerful, noninvasive modality for placental evaluation, offering whole-organ coverage, superior soft-tissue contrast, and the ability to interrogate placental morphology, microstructure, perfusion, and oxygenation across gestation. This review summarizes recent advances in structural, microstructural, and functional placental MRI, with emphasis on quantitative and multimodal approaches. Emerging integrated and multicontrast frameworks that capture placental spatiotemporal heterogeneity and disentangle maternal, fetal, and tissue compartments are highlighted. Finally, we address key technical challenges, including physiological confounders. Continued methodological advancement and large longitudinal studies are essential to translate placental MRI into clinically robust measures of placental health.

Indexed as

Functional MRIMRIPlacentaQuantitative MRIStructural MRI

Identifiers

PMID42140826
PMCPMC13317445

What OpenQuestion holds

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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.