为放射性瘤学研究开发和优化基于电脑断层扫描的临床前形束放射学工作流程
Kathryn H Brown1, Neree Payan1, Sarah Osman2
1Patrick G. Johnston Centre for Cancer Research, Queen's University Belfast, Northern Ireland, UK.
Physics and imaging in radiation oncology
|May 30, 2023
概括
这项研究优化了临床前形束计算断层扫描 (CBCT) 放射学,用于在小鼠模型中识别成像生物标志物. 标准化参数对于瘤学研究中强大的放射学签名至关重要.
科学领域:
- 医疗成像医学成像
- 瘤学研究研究
- 生物标志物发现发现
背景情况:
- 医学图像中的放射学特征显示出作为癌症诊断和治疗反应预测的成像生物标志物具有前途.
- 了解放射学特征与瘤生物学之间的联系对于临床应用至关重要.
- 临床前模型对于开发和验证放射学签名至关重要.
研究的目的:
- 开发和优化一个临床前形束计算机断层扫描 (CBCT) 放射学工作流程.
- 使用*in vivo*小鼠模型识别强大的放射学特征.
- 为可重现的临床前放射学分析建立标准化参数.
主要方法:
- 使用小型动物放射治疗研究平台获得了CBCT扫描小鼠幽灵和异种植瘤模型.
- 评估了成像协议,细分和预处理对放射学特征强度的影响.
- 在特定的成像条件下 (60 kV,25 bin宽度,0.26 mm切片厚度) 确定了稳定的放射性特征.
主要成果:
- 优化工作流确定了119个稳定的放射学特征用于临床前CBCT分析.
- 观察到工作流参数对功能稳定性的显著影响.
- 图像和分析参数的标准化对于准确和可重现的临床前放射学至关重要.
结论:
- 介绍了首个针对临床前CBCT放射学来识别成像生物标志物的优化工作流.
- 临床前放射学可以增强*in vivo*研究中的数据采集.
- 这种方法支持放射学在瘤学中的更广泛的临床应用.
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