AI Chat Paper
Note: Please note that the following content is generated by AMiner AI. SciOpen does not take any responsibility related to this content.
{{lang === 'zh_CN' ? '文章概述' : 'Summary'}}
{{lang === 'en_US' ? '中' : 'Eng'}}
Chat more with AI
Home iRADIOLOGY Article
PDF (1.7 MB)
Collect
Submit Manuscript AI Chat Paper
Show Outline
Outline
Show full outline
Hide outline
Outline
Show full outline
Hide outline
Review | Open Access

Technical Assessment of Preclinical Noninvasive Imaging Methods for Endometriosis Follow‐Up in Murine Models

Peyman Palay1,2 Tayyebeh Zamani‐Badi3,4Zeinab Ghezelayagh1Kiandokht Kiani5 ( )
Department of Embryology, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran
Department of Electrical and Computer Engineering, Tarbiat Modares University, Tehran, Iran
Anatomical Sciences Research Center, Institute for Basic Sciences, Kashan University of Medical Sciences, Kashan, Iran
Reproductive Sciences Imaging Group, Preclinical Core Facility, Tehran University of Medical Sciences, Tehran, Iran
Department of Endocrinology and Female Infertility, Reproductive Biomedicine Research Center, Royan Institute for Reproductive Biomedicine, ACECR, Tehran, Iran

Peyman Palay and Tayyebeh Zamani‐Badi contributed equally to this work.

Show Author Information

Abstract

Endometriosis is a common benign condition affecting 6%–10% of women, the underlying cause of which remains largely unknown. Laboratory animal models of endometriosis offer a translational approach to advance research into this condition. To this end, the provision of a noninvasive method to monitor real‐time disease progression and elucidate the pathophysiological mechanisms of endometriosis is essential. This review evaluates advanced preclinical imaging techniques for studying endometriotic lesions in murine models and comparing and highlighting their technical specifications, advantages, and limitations. Imaging methods are categorized into optical (bioluminescence, fluorescence, and nanoparticle‐assisted near‐infrared) and nonoptical (magnetic resonance imaging, ultrasound, and positron emission tomography) modalities. Bioluminescence imaging enables noninvasive monitoring of lesion growth and early angiogenesis in luciferase transgenic mice but is limited by low signal intensity in superficial lesions. Fluorescence imaging does not require substrate injection but cannot distinguish between viable and dead cells. Near‐infrared, enhanced by nanoparticle permeability, allows effective visualization of endometriotic lesions, although accumulation in nontarget tissues may compromise accuracy in superficial regions. Magnetic resonance imaging facilitates longitudinal studies of ectopic tissue growth, offering rapid data analysis with minimal stress to animals. High‐resolution ultrasound provides a noninvasive assessment of lesion dynamics but has low sensitivity for detecting small lesions. Positron emission tomography imaging shows promise for identifying small superficial lesions in humans through the use of radiopharmaceuticals. The effectiveness of these imaging techniques depends on lesion depth, with all methods performing better for deeper lesions than for superficial ones. Ongoing research aims to integrate multiple imaging modalities to improve the efficacy of preclinical studies.

Graphical Abstract

References

【1】
【1】
 
 
iRADIOLOGY
Pages 305-317

{{item.num}}

Comments on this article

Go to comment

< Back to all reports

Review Status: {{reviewData.commendedNum}} Commended , {{reviewData.revisionRequiredNum}} Revision Required , {{reviewData.notCommendedNum}} Not Commended Under Peer Review

Review Comment

Close
Close
Cite this article:
Palay P, Zamani‐Badi T, Ghezelayagh Z, et al. Technical Assessment of Preclinical Noninvasive Imaging Methods for Endometriosis Follow‐Up in Murine Models. iRADIOLOGY, 2026, 4(4): 305-317. https://doi.org/10.1002/ird3.70086

1

Views

0

Downloads

0

Crossref

0

Web of Science

0

Scopus

Received: 16 July 2025
Revised: 13 December 2025
Accepted: 06 March 2026
Published: 19 August 2026
© 2026 The Author(s). Tsinghua University Press.

This is an open access article under the terms of the Creative Commons Attribution‐NonCommercial‐NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non‐commercial and no modifications or adaptations are made.