Klein Justin S, Mitchell Gregory S, Cherry Simon R
Department of Biomedical Engineering, University of California, Davis, CA, United States of America.
Phys Med Biol. 2017 May 21;62(10):4183-4201. doi: 10.1088/1361-6560/aa6641. Epub 2017 Mar 13.
Cerenkov luminescence imaging (CLI) is a developing imaging modality that detects radiolabeled molecules via visible light emitted during the radioactive decay process. We used a Monte Carlo based computer simulation to quantitatively investigate CLI compared to direct detection of the ionizing radiation itself as an intraoperative imaging tool for assessment of brain tumor margins. Our brain tumor model consisted of a 1 mm spherical tumor remnant embedded up to 5 mm in depth below the surface of normal brain tissue. Tumor to background contrast ranging from 2:1 to 10:1 were considered. We quantified all decay signals (e, gamma photon, Cerenkov photons) reaching the brain volume surface. CLI proved to be the most sensitive method for detecting the tumor volume in both imaging and non-imaging strategies as assessed by contrast-to-noise ratio and by receiver operating characteristic output of a channelized Hotelling observer.
切伦科夫发光成像(CLI)是一种正在发展的成像方式,它通过放射性衰变过程中发出的可见光来检测放射性标记分子。我们使用基于蒙特卡罗的计算机模拟,将CLI与直接检测电离辐射本身进行定量比较,作为评估脑肿瘤边缘的术中成像工具。我们的脑肿瘤模型由一个直径1毫米的球形肿瘤残余物组成,其嵌入正常脑组织表面以下达5毫米深度。考虑了肿瘤与背景对比度范围为2:1至10:1的情况。我们对到达脑体积表面的所有衰变信号(电子、伽马光子、切伦科夫光子)进行了量化。通过对比噪声比和通道化霍特林观察者的接收器操作特征输出评估,CLI被证明是在成像和非成像策略中检测肿瘤体积最敏感的方法。