Evidence map›Paper›PMID 37389606›Full record

ArticleEuropean radiology2023

Reduced adipose tissue in growth-restricted fetuses using quantitative analysis of magnetic resonance images.

Aviad Rabinowich, Netanell Avisdris, Ayala Zilberman, Daphna Link-Sourani, Sapir Lazar, Jacky Herzlich, Bella Specktor-Fadida, Leo Joskowicz, Gustavo Malinger, Liat Ben-Sira and 2 more

Abstract read
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In one paragraph

Article in European radiology, 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
1.5field-weighted citation impact, top 18% 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, 5 citations in OpenAlex.

  1. Article
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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 at 3 institutions in 1 country.

Aviad RabinowichSagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel. aviadrabi@gmail.com.ORCID http://orcid.org/0000-0002-9406-6523
Netanell AvisdrisSagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.ORCID http://orcid.org/0000-0002-0719-1327
Ayala ZilbermanSackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Daphna Link-SouraniSagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.
Sapir LazarDepartment of Radiology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.
Jacky HerzlichSackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Bella Specktor-FadidaSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
Leo JoskowiczSchool of Computer Science and Engineering, The Hebrew University of Jerusalem, Jerusalem, Israel.
Gustavo MalingerSackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Liat Ben-SiraDepartment of Radiology, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.
Liran HierschSackler Faculty of Medicine, Tel-Aviv University, Tel-Aviv, Israel.
Dafna Ben BashatSagol Brain Institute, Tel-Aviv Sourasky Medical Center, Tel-Aviv, Israel.
Tel Aviv University · ILHebrew University of Jerusalem · ILTel Aviv Sourasky Medical Center · IL

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectivesFat-water MRI can be used to quantify tissues' lipid content. We aimed to quantify fetal third trimester normal whole-body subcutaneous lipid deposition and explore differences between appropriate for gestational age (AGA), fetal growth restriction (FGR), and small for gestational age fetuses (SGAs).

methodsWe prospectively recruited women with FGR and SGA-complicated pregnancies and retrospectively recruited the AGA cohort (sonographic estimated fetal weight [EFW] ≥ 10th centile). FGR was defined using the accepted Delphi criteria, and fetuses with an EFW < 10th centile that did not meet the Delphi criteria were defined as SGA. Fat-water and anatomical images were acquired in 3 T MRI scanners. The entire fetal subcutaneous fat was semi-automatically segmented. Three adiposity parameters were calculated: fat signal fraction (FSF) and two novel parameters, i.e., fat-to-body volume ratio (FBVR) and estimated total lipid content (ETLC = FSF*FBVR). Normal lipid deposition with gestation and differences between groups were assessed.

resultsThirty-seven AGA, 18 FGR, and 9 SGA pregnancies were included. All three adiposity parameters increased between 30 and 39 weeks (p < 0.001). All three adiposity parameters were significantly lower in FGR compared with AGA (p ≤ 0.001). Only ETLC and FSF were significantly lower in SGA compared with AGA using regression analysis (p = 0.018-0.036, respectively). Compared with SGA, FGR had a significantly lower FBVR (p = 0.011) with no significant differences in FSF and ETLC (p ≥ 0.053).

conclusionsWhole-body subcutaneous lipid accretion increased throughout the third trimester. Reduced lipid deposition is predominant in FGR and may be used to differentiate FGR from SGA, assess FGR severity, and study other malnourishment pathologies. CLINICAL RELEVANCE STATEMENT: Fetuses with growth restriction have reduced lipid deposition than appropriately developing fetuses measured using MRI. Reduced fat accretion is linked with worse outcomes and may be used for growth restriction risk stratification. KEY POINTS: • Fat-water MRI can be used to assess the fetal nutritional status quantitatively. • Lipid deposition increased throughout the third trimester in AGA fetuses. • FGR and SGA have reduced lipid deposition compared with AGA fetuses, more predominant in FGR.

Indexed as

Fetal Growth RetardationInfant, Small for Gestational AgeAdipose TissueFemaleFetusGestational AgeHumansInfant, NewbornLipidsMagnetic Resonance ImagingPregnancyRetrospective StudiesUltrasonography, PrenatalWaterLipidsWaterAdipose tissueFetal growth retardationMagnetic resonance imagingPrenatal diagnosis

Identifiers

PMID37389606
OpenAlexW4382631092

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.