Evidence map›Paper›PMID 42387322›Full record

ArticleNMR in biomedicine2026

In Vivo Assessment of Placental Structure and Perfusion in Late-Gestation Pregnancies and Their Association With Fetal Growth.

Daphna Link-Sourani, Netanell Avisdris, Xingfeng Shao, Dana Schonberger, Aviad Rabinowich, Bella Spector Fadida, Yair Wexler, Leo Joskowicz, Liat Ben Sira, Liran Hiersch and 2 more

Abstract read
In one paragraph

Article in NMR in biomedicine, 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

12 authors.

Daphna Link-SouraniSagol Brain Institute, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel.
Netanell AvisdrisSagol Brain Institute, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel.
Xingfeng ShaoLaboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.ORCID https://orcid.org/0000-0002-4130-6204
Dana SchonbergerSagol Brain Institute, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel.
Aviad RabinowichSagol Brain Institute, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel.ORCID https://orcid.org/0000-0002-9406-6523
Bella Spector FadidaSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
Yair WexlerSchool of Neurobiology, Biochemistry and Biophysics, The George S. Wise Faculty of Life Sciences, Tel-Aviv University, Tel-Aviv, Israel.
Leo JoskowiczSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
Liat Ben SiraDepartment of Radiology, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel.
Liran HierschGray Faculty of Medical & Health Sciences, Tel Aviv University, Tel Aviv, Israel.
Danny J J WangLaboratory of FMRI Technology (LOFT), USC Stevens Neuroimaging and Informatics Institute, Keck School of Medicine, University of Southern California, Los Angeles, California, USA.
Dafna Ben BashatSagol Brain Institute, Tel Aviv Sourasky University Medical Center, Tel Aviv, Israel.ORCID https://orcid.org/0000-0001-8396-1031

Funding

National Innovation Authority 63418National Innovation Authority 72126National Innovation Authority 79263National Innovation Authority 79264
6 · The paper itself

Abstract

Adequate placental structure and function are crucial for fetal growth, while placental dysfunction often leads to fetal growth restriction (FGR), associated with increased perinatal morbidity and mortality. Current FGR criteria, relying on sonographic biometry and Doppler assessments, typically fall short in sensitivity for diagnosing FGR, predicting perinatal outcomes, and assessing their association with placental pathology. Advanced MRI methods offer a unique opportunity to characterize placental structure and perfusion, and to assess their relationship with fetal growth. This study aims to provide normative quantitative MRI values of placental structure and perfusion during the third trimester, to assess their interplay and association with fetal growth, and to identify differences between appropriate-for-gestational-age (AGA) and FGR-complicated pregnancies. With IRB approval, pregnant women between 30 and 37 weeks of gestation (AGA [n = 46], FGR [n = 11]) underwent prospective MRI. Placental structure (volume; umbilical-cord centricity-index [CI]), placental perfusion (placental-blood-flow [PBF] and arterial-transit-time [ATT] extracted from arterial-spin-labeling), fetal growth (estimated body weight and brain volume), and radiomics features derived from PBF and ATT maps were assessed using deep-learning and image-processing tools. Statistical analyses included Pearson correlation, analysis of covariance with gestational-age (GA) as a covariate, non-parametric tests, logistic regression, multistep feature selection, and false discovery rate correction. Fetal growth parameters correlated with GA in both groups and were significantly reduced in FGR. Mean perfusion values of AGA placentas were significantly higher than previously reported at earlier GA using the same method. Placental volume correlated with ATT and total placental flow (mean PBF × placental volume/100) in AGA fetuses. Total placental flow was significantly lower in FGR compared with AGA. CI and two ATT radiomics features contributed most to differentiating AGA from FGR, with higher CI in FGR. Our findings highlight CI as a potential marker for growth restriction. Larger studies are needed to better characterize perfusion alterations in FGR.

Indexed as

Fetal DevelopmentMagnetic Resonance ImagingPlacentaPregnancy Trimester, ThirdAdultFemaleFetal Growth RetardationGestational AgeHumansPregnancyarterial spin labelingdeep learningfetal growth restrictionplacental dysfunctionradiomics analysis

Identifiers

PMID42387322
PMCPMC13323874

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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.