Evidence map›Paper›PMID 42395525›Full record

ArticlebioRxiv : the preprint server for biology2026

A finite element model of pregnancy derived from maternal sonography: effect of uterine and cervical structural properties on cervical mechanical loading.

Erin M Louwagie, Hannah Z Haider, Camilo Duarte, Lei Shi, Mirella Mourad, Michael D House, Helen Feltovich, Kristin M Myers

Abstract readPreprint
In one paragraph

Article in bioRxiv : the preprint server for biology, 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

5 · Who and what money

Authors and funding

8 authors.

Erin M LouwagieDepartment of Mechanical Engineering, Columbia University, New York, New York 10027.ORCID 0000-0001-6384-0777
Hannah Z HaiderDepartment of Mechanical Engineering, Columbia University, New York, New York 10027.
Camilo DuarteDepartment of Mechanical Engineering, Columbia University, New York, New York 10027.
Lei ShiDepartment of Mechanical Engineering, Columbia University, New York, New York 10027.
Mirella MouradDepartment of Obstetrics & Gynecology, Columbia University Irving Medical Center, New York, New York 10036.
Michael D HouseDepartment of Obstetrics & Gynecology, Tufts Medical Center, Boston, Massachusetts 02111.
Helen FeltovichDepartment of Obstetrics & Gynecology, Icahn School of Medicine at Mount Sinai, New York, New York 10029.
Kristin M MyersDepartment of Mechanical Engineering, Columbia University, New York, New York 10027.ORCID 0000-0002-5989-0242

Funding

Core Research Computing FacilityG20RR030893 · NCRR · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI PURDY, MICHAEL · 2010 to 2010
$10.0M
A Computational Framework for the Clinical Evaluation of the Soft Tissue Mechanics in PregnancyR01HD091153 · NICHD · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI MYERS, KRISTIN MARIE · 2017 to 2021
$1.6M
NCRR NIH HHS G20 RR030893NICHD NIH HHS R01 HD091153
6 · The paper itself

Abstract

Identification and treatment of pregnancies at risk for preterm birth is a central challenge in obstetric research. Many of the known causes of preterm birth originate from mechanical failure in reproductive tissues. To better understand the biomechanical environment of the gravid uterus and its potential contribution to preterm birth, this computational study presents a parametric method for modeling maternal reproductive anatomy during the early second trimester. A finite element modeling approach was built using existing sonographic measurements from early second-trimester maternal anatomy and material properties from published mechanical tests. We applied the same physiologically relevant intrauterine pressure to all models and quantified the resulting tissue stretch. The sensitivity of the stretch in the proximal cervix was explored by varying material properties and sonographic maternal anatomy dimensions. Cervical material properties, particularly the fiber stiffness modulus and ground substance Young's modulus, were found to have the greatest effect on proximal cervix stretch compared to other material properties and sonographic dimensions. Among the sonographic dimension measurements, those defining the region surrounding the proximal cervix had the greatest effect on proximal cervix stretch, including the curvature of the posterior uterine wall and the thickness of the lower uterine segment. The computational modeling approach presented here enables future patient-specific studies of gravid reproductive tissues to elucidate differences between individuals who do and do not deliver preterm. Additionally, this study is foundational for building digital twins to support future virtual clinical studies on diagnostic and therapeutic device design to prevent preterm birth.

Identifiers

PMID42395525
PMCPMC13321058

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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.