4.6 Review

Imaging the ovary

Journal

REPRODUCTIVE BIOMEDICINE ONLINE
Volume 36, Issue 5, Pages 584-593

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.rbmo.2018.02.006

Keywords

Corpus luteum; Follicles; Human; Imaging; Mouse; Ovary

Funding

  1. National Natural Science Foundation of China [81673766]
  2. Chinese Special Fund for Postdocs [2014T70392]
  3. New Teacher Priming Fund
  4. Zuoxue Foundation of Fudan University
  5. Development Project of Shanghai Peak Disciplines-Integrative Medicine [20150407]

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During each reproductive cycle, the ovary exhibits tissue remodelling and cyclic vasculature changes associated with hormonally regulated folliculogenesis, follicle rupture, luteal formation and regression. However, the relationships among different types of follicles and corpora lutea are unclear, and the role of ovarian vasculature in folliculogenesis and luteal dynamics has not been extensively investigated. Understanding of ovarian physiology and pathophysiology relies upon elucidation of ovarian morphology and architecture. This paper summarizes the literature on traditional approaches to the imaging of ovarian structures and discusses recent advances in ovarian imaging. Traditional in-vivo ultrasound, together with histological and electron microscopic approaches provide detailed views of the ovary at organ, tissue and molecular levels. However, in-vivo imaging is limited to antral and larger follicles whereas histological imaging is mainly two-dimensional in nature. Also discussed are emerging approaches in the use of near-infrared fluorophores to image follicles in live animals to detect preantral follicles as well as visualizing ovarian structures using CLARITY in fixed whole ovaries to elucidate three-dimensional interrelationships among follicles, corpora lutea and ovarian vasculature. Advances in ovarian imaging techniques provide new understanding of ovarian physiology and allow for the development of better tools to diagnose ovarian pathophysiology. (C) 2018 Reproductive Healthcare Ltd. Published by Elsevier Ltd. All rights reserved.

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