Evidence map›Paper›PMID 33657136›Full record

Trial reportPloS one2021

Spectroscopic photoacoustic imaging of cervical tissue composition in excised human samples.

Yan Yan, Maryam Basij, Alpana Garg, Aneesha Varrey, Ali Alhousseini, Richard Hsu, Edgar Hernandez-Andrade, Roberto Romero, Sonia S Hassan, Mohammad Mehrmohammadi

Open access · goldAbstract readClinical Trial
In one paragraph

Trial report in PloS one, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
1.2field-weighted citation impact, top 24% 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

12 citing papers in PubMed, 18 citations in OpenAlex.

  1. Review
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  7. In vivo Raman spectroscopy monitors cervical change during labor.American journal of obstetrics and gynecology · 2022
    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

10 authors at 2 institutions in 1 country.

Yan YanDepartment of Biomedical Engineering, Wayne State University College of Engineering, Detroit, Michigan, United States of America.ORCID 0000-0001-8137-2372
Maryam BasijDepartment of Biomedical Engineering, Wayne State University College of Engineering, Detroit, Michigan, United States of America.
Alpana GargDepartment of Internal Medicine, Wayne State University School of Medicine, Detroit, Michigan, United States of America.ORCID 0000-0002-9497-0141
Aneesha VarreyDivision of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland and Detroit, Michigan, United States of America.
Ali AlhousseiniDepartment of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America.
Richard HsuDivision of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland and Detroit, Michigan, United States of America.
Edgar Hernandez-AndradeDivision of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland and Detroit, Michigan, United States of America.
Roberto RomeroDivision of Obstetrics and Maternal-Fetal Medicine, Division of Intramural Research, Perinatology Research Branch, Eunice Kennedy Shriver National Institute of Child Health and Human Development, National Institutes of Health, U.S. Department of Health and Human Services, Bethesda, Maryland and Detroit, Michigan, United States of America.
Sonia S HassanDepartment of Obstetrics and Gynecology, Wayne State University School of Medicine, Detroit, Michigan, United States of America.
Mohammad MehrmohammadiDepartment of Biomedical Engineering, Wayne State University College of Engineering, Detroit, Michigan, United States of America.
Wayne State University · USNational Institutes of Health · US

Funding

Prenatal Diagnosis Of Congenital AnomaliesZIAHD002401 · NICHD · EUNICE KENNEDY SHRIVER NATIONAL INSTITUTE OF CHILD HEALTH & HUMAN DEVELOPMENT · PI ROMERO, ROBERTO · 2009 to 2025
$81.1M
Molecular, Functional, and Microstructural Imaging of Cervical Remodeling BiomarkersR01EB030058 · NIBIB · WAYNE STATE UNIVERSITY · PI MEHRMOHAMMADI, MOHAMMAD · 2020 to 2023
$1.6M
NIBIB NIH HHS R01 EB030058NICHD NIH HHS HHSN275201300006C
6 · The paper itself

Abstract

objectiveCervical remodeling is an important component in determining the pathway of parturition; therefore, assessing changes in cervical tissue composition may provide information about the cervix's status beyond the measurement of cervical length. Photoacoustic imaging is a non-invasive ultrasound-based technology that captures acoustic signals emitted by tissue components in response to laser pulses. This optical information allows for the determination of the collagen-to-water ratio (CWR). The purpose of this study was to compare the CWR evaluated by using spectroscopic photoacoustic (sPA) imaging in cervical samples obtained from pregnant and non-pregnant women.

methodsThis cross-sectional study comprised cervical biopsies obtained at the time of hysterectomy (n = 8) and at the scheduled cesarean delivery in pregnant women at term who were not in labor (n = 8). The cervical CWR was analyzed using a fiber-optic light-delivery system integrated to an ultrasound probe. The photoacoustic signals were acquired within the range of wavelengths that cover the peak absorption of collagen and water. Differences in the CWR between cervical samples from pregnant and non-pregnant women were analyzed. Hematoxylin and eosin and Sirius Red stains were used to compare the collagen content of cervical samples in these two groups.

resultsEight cervix samples were obtained after hysterectomy, four from women ≤41 years of age and four from women ≥43 years of age; all cervical samples (n = 8) from pregnant women were obtained after 37 weeks of gestation at the time of cesarean section. The average CWR in cervical tissue samples from pregnant women was 18.7% (SD 7.5%), while in samples from non-pregnant women, it was 55.0% (SD 20.3%). There was a significantly higher CWR in the non-pregnant group compared to the pregnant group with a p-value <0.001. A subgroup analysis that compared the CWR in cervical samples from pregnant women and non-pregnant women ≤41 years of age (mean 46.3%, SD 23.1%) also showed a significantly higher CWR (p <0.01). Lower collagen content in the pregnancy group was confirmed by histological analysis, which revealed the loss of tissue composition, increased water content, and collagen degradation.

conclusionThe proposed bimodal ultrasound and sPA imaging system can provide information on the biochemical composition of cervical tissue in pregnant and non-pregnant women. Photoacoustic imaging showed a higher collagen content in cervical samples from non-pregnant women as compared to those from pregnant women, which matched with the histological analysis. This novel imaging method envisions a new potential for a sensitive diagnostic tool in the evaluation of cervical tissue composition.

Indexed as

Diagnostic ImagingPhotoacoustic TechniquesAdultCervix UteriCollagenCross-Sectional StudiesFemaleHumansPregnancyCollagen

Identifiers

PMID33657136
PMCPMC7928441
OpenAlexW3135280944

What OpenQuestion holds

Textmetadata
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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.