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Exploration of Chick Embryo and Chorioallantoic Membrane on Imaging Navigated Platforms for Anticancer Pharmaceutical Evaluations

Authors :
Lei Chen PhD
Mingyuan Yuan MD
Xinqi Zhang MD
Yongsheng Li MD
Yuanbo Feng PhD
Jie Yu MD
Walter Coudyzer PhD
Yiyang Xie MS
Jiayue Xu MS
Yuzhen Li MS
Yue Li PhD
Yicheng Ni MD, PhD
Source :
Technology in Cancer Research & Treatment, Vol 22 (2023)
Publication Year :
2023
Publisher :
SAGE Publishing, 2023.

Abstract

Conforming to the current replace–reduce–refine 3Rs’ guidelines in animal experiments, a series of explorative efforts have been made to set up operable biomedical imaging-guided platforms for qualitative and quantitative evaluations on pharmacological effects of tumor vascular-disrupting agents (VDAs), based on the chick embryos (CEs) with its chorioallantoic membrane (CAM), in this overview. The techniques and platforms have been hierarchically elaborated, from macroscopic to microscopic and from overall to specific aspects. A protocol of LED lamplight associated with a new deep-learning algorithm was consolidated to screen out weak CEs by using the CAM vasculature imaging. 3D magnetic resonance imaging (MRI) and laser speckle contrast imaging (LSCI) to monitor the evolution of CE and vascular changes in CAM are introduced. A LSCI–CAM platform for studying the effects of VDAs on normal and cancerous vasculature of CAM and possible molecular mechanisms has been demonstrated. Finally, practical challenges and future perspectives are highlighted. The aim of this article is to help peers in biomedical research to familiarize with the CAM platform and to optimize imaging protocols for the evaluation of vasoactive pharmaceuticals, especially anticancer vascular targeted therapy.

Details

Language :
English
ISSN :
15330338
Volume :
22
Database :
Directory of Open Access Journals
Journal :
Technology in Cancer Research & Treatment
Publication Type :
Academic Journal
Accession number :
edsdoj.56230509022e45158ad6d7850b9c9e17
Document Type :
article
Full Text :
https://doi.org/10.1177/15330338231206985