Evidence map›Paper›PMID 41332358›Full record

ArticleBJOG : an international journal of obstetrics and gynaecology2026

Low-Field Magnetic Resonance Imaging of the Late Gestation Cervix and Birth Outcome Correlation: A Prospective Cohort Study.

Simi Bansal, Alena U Uus, Agnieszka Glazewska-Hallin, Caitlin Allwin, Hadi Waheed, Vanessa Kyriakopoulou, Anna L David, Dimitrios Siassakos, Manju Chandiramani, Jana Hutter and 2 more

Abstract read
In one paragraph

Article in BJOG : an international journal of obstetrics and gynaecology, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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0citing papers in PubMed
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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.

Simi BansalSchool of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.ORCID https://orcid.org/0000-0002-4213-7801
Alena U UusSchool of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Agnieszka Glazewska-HallinReseach Department for Early Life Imaging, King's College London, London, UK.ORCID https://orcid.org/0000-0002-7054-4121
Caitlin AllwinSchool of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Hadi WaheedReseach Department for Early Life Imaging, King's College London, London, UK.
Vanessa KyriakopoulouSchool of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.
Anna L DavidElizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.ORCID https://orcid.org/0000-0002-0199-6140
Dimitrios SiassakosElizabeth Garrett Anderson Institute for Women's Health, University College London, London, UK.ORCID https://orcid.org/0000-0002-1078-9856
Manju ChandiramaniReseach Department for Early Life Imaging, King's College London, London, UK.ORCID https://orcid.org/0000-0002-8024-6339
Jana HutterReseach Department for Early Life Imaging, King's College London, London, UK.ORCID https://orcid.org/0000-0003-3476-3500
Lisa StoryDepartment of Women and Children's Health, King's College London, London, UK.ORCID https://orcid.org/0000-0001-9328-9592
Mary A RutherfordSchool of Imaging Sciences and Biomedical Engineering, King's College London, London, UK.

Funding

Deutsche Forschungsgemeinschaft 502024488European Research Council 101165242Guy's and St Thomas' NHS Foundation Trust 1U01HD087202-01King's College LondonMedical Research Council MR/X010007/1National Institute for Health and Care Research 301664UCLH Biomedical Research CentreUniversity College London
6 · The paper itself

Abstract

objectiveTo use low-field MRI to produce reconstructions and 3D models of the cervix and to automate measurements for correlation with demographics and birth outcomes.

designProspective cohort study.

settingKCL Advanced Imaging Centre, St Thomas's Hospital. POPULATION: Late gestation (36-41w) women attempting their first vaginal birth, recruited to the MiBirth study (n = 97).

methodsReconstructed images were produced from 2D T2-weighted Turbo-Spin-Echo 2D sequences acquired with a 0.55 T Freemax MRI scanner. Segmentations and anatomical landmarks were automated using an in-house 3D deep learning segmentation network, from which cervical 2D measurements and 3D volumes were generated.

main outcome measuresQuality of reconstructed images and segmentations. Inter-rater variability for cervical biometry. Correlation between cervical measurements, maternal demographics and birth outcomes.

resultsSuccessful reconstructions were obtained for 92.9%; 84.9% were good quality. Excellent or good quality segmentations were obtained for all successful reconstructions (n = 99). Inter-rater variability between automated and manual biometry was excellent or good for cervical measurements. Total cervical and stroma volumes significantly increased with cervical length (p < 0.01). Os diameters and utero-cervical angle significantly decreased as cervical length increased (p < 0.001). Cervical stroma volume increased with maternal age (p = 0.02). Controlling for maternal age, an increased cervical volume was associated with an increased risk of caesarean section (OR 1.09, p = 0.04).

conclusionsThis is a novel, accurate automated system to assess MRI late gestation cervical biometry and volumetry. We have shown that the late gestation cervical phenotype may influence birth outcomes and provided a new mechanism for increased risk of caesarean with maternal age.

Indexed as

Cervix UteriMagnetic Resonance ImagingAdultFemaleHumansImaging, Three-DimensionalPregnancyPregnancy OutcomePregnancy Trimester, ThirdProspective Studiesbirth outcomescervixmagnetic resonance imagingpregnancy MRI

Identifiers

PMID41332358
PMCPMC13040424

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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.