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Cancer Research
背侧皮褶窗室肿瘤小鼠模型在转化癌症研究中用于联合活体显微镜和磁共振成像
背侧皮褶窗室肿瘤小鼠模型在转化癌症研究中用于联合活体显微镜和磁共振成像
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Cancer Research
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JoVE Journal Cancer Research
A Dorsal Skinfold Window Chamber Tumor Mouse Model for Combined Intravital Microscopy and Magnetic Resonance Imaging in Translational Cancer Research

背侧皮褶窗室肿瘤小鼠模型在转化癌症研究中用于联合活体显微镜和磁共振成像

Full Text
2,592 Views
10:25 min
April 12, 2024

DOI: 10.3791/66383-v

W. Jeffrey Zabel*1, Nader Allam*1, Hector Alejandro Contreras Sanchez1, Warren Foltz2,3, Costel Flueraru4, Edward Taylor2,3, Alex Vitkin1,2,3

1Department of Medical Biophysics,University of Toronto, 2Radiation Medicine Program,Princess Margaret Cancer Centre, 3Department of Radiation Oncology,University of Toronto, 4Advanced Electronic and Photonics Research Center,National Research Council of Canada

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Please note that some of the translations on this page are AI generated. Click here for the English version.

Overview

This study presents a dorsal window chamber mouse model that integrates intravital microscopy with MRI for enhanced imaging capabilities. The approach aims to improve the clinical translation of findings from preclinical studies by correlating high-resolution imaging with clinically relevant modalities.

Key Study Components

Area of Science

  • Neuroscience
  • Imaging Techniques
  • Oncology

Background

  • Intravital microscopy provides high-resolution images but has limited tissue penetration.
  • MRI offers greater depth penetration but lacks spatial resolution.
  • Combining these modalities can enhance understanding of tumor microenvironments.
  • Perfusion-sensitive imaging methods reveal microvasculature's role in tumor response.

Purpose of Study

  • To correlate intravital microscopy with MRI for better clinical translation.
  • To explore how microvasculature impacts tumor response to therapies.
  • To utilize advanced imaging techniques for longitudinal studies.

Methods Used

  • Dorsal window chamber mouse model for intravital imaging.
  • Magnetic resonance imaging for depth penetration.
  • Optical coherence tomography for biophotonics imaging.
  • AI image analysis for identifying predictive biomarkers.

Main Results

  • Successful integration of intravital microscopy with MRI.
  • Revealed insights into tumor microvasculature and treatment response.
  • Demonstrated the utility of 3D printing in custom tool manufacturing.
  • AI analysis facilitated the identification of novel biomarkers.

Conclusions

  • The combined imaging approach enhances the understanding of tumor biology.
  • It may streamline the translation of preclinical findings to clinical applications.
  • Future studies can build on this model to explore other therapeutic strategies.

Frequently Asked Questions

What is the significance of using a dorsal window chamber model?
The dorsal window chamber model allows for real-time imaging of tumor microenvironments, facilitating the study of biological processes in vivo.
How does this study improve clinical translation?
By correlating high-resolution intravital microscopy with MRI, the study aims to provide a clearer understanding of tumor responses, aiding in clinical applications.
What imaging techniques were combined in this study?
The study combined intravital microscopy with magnetic resonance imaging (MRI) and optical coherence tomography.
What role does AI play in this research?
AI image analysis is used to identify novel radiotherapy predictive biomarkers, enhancing the study's findings.
What are the implications of this research for cancer treatment?
The findings may lead to improved strategies for predicting tumor responses to therapies, ultimately enhancing treatment outcomes.
How does 3D printing contribute to this study?
3D printing aids in the cost-effective manufacturing of custom tools necessary for conducting longitudinal studies.

活体显微镜检查结果的转化因其对组织的浅深度渗透而受到挑战。在这里,我们描述了一种背窗腔小鼠模型,该模型能够共同配准活体显微镜和临床适用的成像模式(例如,CT、MRI)以实现直接的空间相关性,从而可能简化活体显微镜检查结果的临床转化。

临床前活体成像具有非常高的分辨率,但在组织中的深度穿透有限,这使得它非常适合临床前成像研究。另一方面,MRI在临床上更具适用性,并且具有更高的深度穿透力,但空间分辨率非常低。本研究的目的是将这两种模式相互关联,以便通过磁共振成像更好地将我们从临床前活体显微镜检查的结果转化为临床。

MRI 和生物光子学中的灌注敏感成像方法,包括我们的光学相干断层扫描和地理系统,正在揭示微血管系统如何影响肿瘤对大分割放疗的反应。3D打印还通过具有成本效益的定制工具制造来帮助进行,从而促进了纵向研究。最后,人工智能图像分析正在促进新型放射治疗预测生物标志物的识别。

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关键词:背侧皮褶窗室 活体显微镜 磁共振成像 转化癌症研究 临床前成像 肿瘤微环境 多模态成像 CT PET 图像配准 治疗监测

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