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Placenta2024; 154; 216-219; doi: 10.1016/j.placenta.2024.07.313

Quantitative microCT imaging of a whole equine placenta and its blood vessel network.

Abstract: Placental structure is linked to function across morphological scales. In the placenta, changes to gross anatomy, such as surface area, volume, or blood vessel arrangement, are associated with suboptimal physiological outcomes. However, quantifying each of these metrics requires different laborious semi-quantitative methods. Here, we demonstrate how, with minimal sample preparation, whole-organ computed microtomography (microCT) can be used to calculate gross morphometry of the equine placenta and a range of additional metrics, including branching morphometry of placental vasculature, non-destructively from a single dataset. Our approach can be applied to quantify the gross structure of any large mammalian placenta.
Publication Date: 2024-07-31 PubMed ID: 39096863DOI: 10.1016/j.placenta.2024.07.313Google Scholar: Lookup
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  • Journal Article
  • Research Support
  • Non-U.S. Gov't

Summary

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Overview

  • This study presents a method using micro-computed tomography (microCT) to quantitatively analyze the entire equine placenta and its vascular network.
  • The technique allows for detailed measurement of morphological features and blood vessel structures non-destructively from a single imaging dataset.

Background and Importance

  • The placenta plays a crucial role in fetal development and its structure is tightly linked to its function.
  • Key structural features such as surface area, overall volume, and vascular arrangement directly impact the physiological performance of the placenta.
  • Alterations in these morphological characteristics are often associated with adverse pregnancy outcomes or suboptimal fetal health.
  • Traditionally, measuring these features has been difficult because it required multiple separate and labor-intensive techniques.

Methodology: MicroCT Imaging

  • The study demonstrates the use of computed microtomography (microCT), an imaging technology that produces 3D images at high resolution.
  • MicroCT allows researchers to scan the entire placenta without destructive sample preparation, preserving the tissue’s integrity.
  • The method requires minimal preparation — no extensive dissection or staining is needed to obtain detailed morphological data.
  • From one scan, multiple quantitative measurements can be extracted, including:
    • Gross morphometry such as the placenta’s total volume and surface area.
    • Vascular morphometry including the branching patterns, density, and connectivity of blood vessels.

Applications and Advantages

  • This approach creates a comprehensive, quantitative dataset from a single imaging session, saving time and resources compared to traditional methods.
  • Non-destructive imaging means the sample can be preserved for further analyses or archived for future reference.
  • The methodology is scalable and adaptable, potentially applicable to placentas from other large mammals beyond horses.
  • By precisely quantifying vascular architecture, the method can help elucidate how structural changes contribute to functional impairments or diseases.

Implications for Research and Medicine

  • Quantitative morphometric data from microCT can improve understanding of the links between placental structure and pregnancy outcomes.
  • It offers a tool for veterinary and comparative placental research, potentially aiding in diagnosis and monitoring of placental abnormalities.
  • Such imaging could also facilitate the development of new therapeutic interventions targeting placental vascular health.
  • Furthermore, the ability to analyze whole organs non-destructively sets a precedent for similar studies in other complex tissues.

Cite This Article

APA
Laundon D, Proudley E, Basford PJ, Katsamenis OL, Chatelet DS, Cleal JK, Gostling NJ, Chavatte-Palmer P, Lewis RM. (2024). Quantitative microCT imaging of a whole equine placenta and its blood vessel network. Placenta, 154, 216-219. https://doi.org/10.1016/j.placenta.2024.07.313

Publication

ISSN: 1532-3102
NlmUniqueID: 8006349
Country: Netherlands
Language: English
Volume: 154
Pages: 216-219
PII: S0143-4004(24)00608-8

Researcher Affiliations

Laundon, Davis
  • The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK; Institute for Life Sciences, University of Southampton, University Rd, Highfield, Southampton, SO17 1BJ, UK. Electronic address: D.J.Laundon@soton.ac.uk.
Proudley, Ella
  • The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK.
Basford, Philip J
  • Institute for Life Sciences, University of Southampton, University Rd, Highfield, Southampton, SO17 1BJ, UK; School of Engineering, Faculty of Engineering and Physical Sciences, University of Southampton, University Road, Southampton, SO17 1BJ, UK; μ-VIS X-Ray Imaging Centre, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
Katsamenis, Orestis L
  • Institute for Life Sciences, University of Southampton, University Rd, Highfield, Southampton, SO17 1BJ, UK; μ-VIS X-Ray Imaging Centre, Faculty of Engineering and Physical Sciences, University of Southampton, Southampton, SO17 1BJ, UK.
Chatelet, David S
  • Biomedical Imaging Unit, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK.
Cleal, Jane K
  • The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK; Institute for Life Sciences, University of Southampton, University Rd, Highfield, Southampton, SO17 1BJ, UK.
Gostling, Neil J
  • Institute for Life Sciences, University of Southampton, University Rd, Highfield, Southampton, SO17 1BJ, UK; School of Biological Sciences, Faculty of Environmental and Life Sciences, University of Southampton, University Rd, Highfield, Southampton, SO17 1BJ, UK.
Chavatte-Palmer, Pascale
  • Université Paris-Saclay, UVSQ, INRAE, BREED, 78350, Jouy-en-Josas, France; Ecole Nationale Vétérinaire d'Alfort, BREED, 94700, Maisons-Alfort, France.
Lewis, Rohan M
  • The Institute of Developmental Sciences, Human Development and Health, Faculty of Medicine, University of Southampton, Southampton, SO16 6YD, UK; Institute for Life Sciences, University of Southampton, University Rd, Highfield, Southampton, SO17 1BJ, UK.

MeSH Terms

  • Animals
  • Horses
  • Female
  • Pregnancy
  • Placenta / diagnostic imaging
  • Placenta / blood supply
  • X-Ray Microtomography / methods
  • Blood Vessels / diagnostic imaging

Conflict of Interest Statement

Declaration of competing interest We declare we have no competing interests.

Citations

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