Evidence map›Paper›PMID 39352817›Full record

ArticleIEEE transactions on bio-medical engineering2025

Cervical Collagen Network Porosity Assessed by SHG Endomicroscopy Distinguishes Preterm and Normal Pregnancy-A Pilot Study.

Wenxuan Liang, Yuehan Liu, Honghua Guan, Vorada Sakulsaengprapha, Katherine Luby-Phelps, Mala Mahendroo, Xingde Li

Abstract read
In one paragraph

Article in IEEE transactions on bio-medical engineering, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

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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

1 citing paper in PubMed.

  1. Article
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

7 authors.

Wenxuan Liang
Yuehan Liu
Honghua Guan
Vorada Sakulsaengprapha
Katherine Luby-Phelps
Mala Mahendroo
Xingde Li

Funding

Molecular Imaging and Theranostics of CancerR35CA209960 · NCI · JOHNS HOPKINS UNIVERSITY · PI BHUJWALLA, ZAVER M. · 2017 to 2023
$6.5M
Nonlinear Optical Endomicroscopy for Optical Biopsy of Cancer in Internal OrgansR01CA153023 · NCI · JOHNS HOPKINS UNIVERSITY · PI LI, XINGDE · 2011 to 2015
$2.6M
NCI NIH HHS R01 CA153023NCI NIH HHS R35 CA209960
6 · The paper itself

Abstract

objectivePreterm birth (PTB) remains a pressing global health concern associated with premature cervical ripening and weakened cervical mechanical strength. Second harmonic generation (SHG) microscopy has proved instrumental in tracking progressive changes in cervical collagen morphology during pregnancy. To translate this imaging modality into clinical practice, we have developed a flexible SHG endomicroscope for label-free visualization of cervical collagen architecture. This study aims to assess the feasibility of our SHG endomicroscope for non-invasive differentiation of normal and PTB mouse models, with the ultimate goal of enabling early diagnosis and risk assessment of PTB in vivo.

methodsin this pilot investigation, we conducted endomicroscopic SHG imaging on frozen cervical tissue sections and intact cervices resected from both normal pregnant mice and mifepristone-induced PTB mouse models, and then analyzed the acquired images to identify collagen morphology characteristics associated with abnormal cervical collagen remodeling.

resultsquantitative image analysis revealed significantly altered collage spatial distribution, larger collagen fiber diameter and pore size, along with reduced pore numbers in SHG endomicroscopy images from PTB mouse models compared to normal pregnant mice. Similar trends were consistent across SHG endomicroscopy images of subepithelial collagen fibers acquired directly from intact cervices. CONCLUSION/SIGNIFICANCE: overall, the experiment results underscore the potential of SHG endomicroscopy, coupled with quantitative image analysis, for clinically evaluating cervical collagen remodeling and PTB risk.

Indexed as

Cervix UteriCollagenPremature BirthSecond Harmonic Generation MicroscopyAnimalsFemaleMicePilot ProjectsPorosityPregnancyCollagen

Identifiers

PMID39352817
PMCPMC11875912

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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.