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Whole cervix imaging of collagen, muscle, and cellularity in term and preterm pregnancy

Author

Listed:
  • Wenjie Wu

    (Washington University
    Washington University School of Medicine)

  • Zhexian Sun

    (Washington University
    Washington University School of Medicine)

  • Hansong Gao

    (Washington University School of Medicine
    Washington University)

  • Yuan Nan

    (Washington University School of Medicine
    Washington University)

  • Stephanie Pizzella

    (Washington University School of Medicine)

  • Haonan Xu

    (Washington University School of Medicine
    Washington University)

  • Josephine Lau

    (Washington University
    Washington University School of Medicine)

  • Yiqi Lin

    (Washington University School of Medicine
    Washington University)

  • Hui Wang

    (Washington University)

  • Pamela K. Woodard

    (Washington University
    Washington University School of Medicine)

  • Hannah R. Krigman

    (Washington University School of Medicine)

  • Qing Wang

    (Washington University
    Washington University
    Washington University School of Medicine)

  • Yong Wang

    (Washington University School of Medicine
    Washington University School of Medicine)

Abstract

Cervical softening and dilation are critical for the successful term delivery of a fetus, with premature changes associated with preterm birth. Traditional clinical measures like transvaginal ultrasound and Bishop scores fall short in predicting preterm births and elucidating the cervix’s complex microstructural changes. Here, we introduce a magnetic resonance diffusion basis spectrum imaging (DBSI) technique for non-invasive, comprehensive imaging of cervical cellularity, collagen, and muscle fibers. This method is validated through ex vivo DBSI and histological analyses of specimens from total hysterectomies. Subsequently, retrospective in vivo DBSI analysis at 32 weeks of gestation in ten term deliveries and seven preterm deliveries with inflammation-related conditions shows distinct microstructural differences between the groups, alongside significant correlations with delivery timing. These results highlight DBSI’s potential to improve understanding of premature cervical remodeling and aid in the evaluation of therapeutic interventions for at-risk pregnancies. Future studies will further assess DBSI’s clinical applicability.

Suggested Citation

  • Wenjie Wu & Zhexian Sun & Hansong Gao & Yuan Nan & Stephanie Pizzella & Haonan Xu & Josephine Lau & Yiqi Lin & Hui Wang & Pamela K. Woodard & Hannah R. Krigman & Qing Wang & Yong Wang, 2024. "Whole cervix imaging of collagen, muscle, and cellularity in term and preterm pregnancy," Nature Communications, Nature, vol. 15(1), pages 1-14, December.
  • Handle: RePEc:nat:natcom:v:15:y:2024:i:1:d:10.1038_s41467-024-48680-9
    DOI: 10.1038/s41467-024-48680-9
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    References listed on IDEAS

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    1. Manuel Stritt & Anna K Stalder & Enrico Vezzali, 2020. "Orbit Image Analysis: An open-source whole slide image analysis tool," PLOS Computational Biology, Public Library of Science, vol. 16(2), pages 1-19, February.
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