Nouizi Farouk, Brooks Jamison, Zuro Darren M, Hui Susanta K, Gulsen Gultekin
Tu and Yuen Center for Functional Onco-Imaging, Department of Radiological Sciences, University of California Irvine, CA 92697, USA.
Chao Family Comprehensive Cancer Center, University of California Irvine, CA 92697, USA.
Biomed Opt Express. 2022 Oct 28;13(11):6100-6112. doi: 10.1364/BOE.469559. eCollection 2022 Nov 1.
Image-guided small animal radiation research platforms allow more precise radiation treatment. Commercially available small animal X-ray irradiators are often equipped with a CT/cone-beam CT (CBCT) component for target guidance. Besides having poor soft-tissue contrast, CBCT unfortunately cannot provide molecular information due to its low sensitivity. Hence, there are extensive efforts to incorporate a molecular imaging component besides CBCT on these radiation therapy platforms. As an extension of these efforts, here we present a theranostic fluorescence tomography/CBCT-guided irradiator platform that provides both anatomical and molecular guidance, which can overcome the limitations of stand-alone CBCT. The performance of our hybrid system is validated using both tissue-like phantoms and mice . Both studies show that fluorescence tomography can provide much more accurate quantitative results when CBCT-derived structural information is used to constrain the inverse problem. The error in the recovered fluorescence absorbance reduces nearly 10-fold for all cases, from approximately 60% down to 6%. This is very significant since high quantitative accuracy in molecular information is crucial to the correct assessment of the changes in tumor microenvironment related to radiation therapy.
图像引导的小动物放射研究平台可实现更精确的放射治疗。市售的小动物X射线辐照器通常配备有用于靶区引导的CT/锥形束CT(CBCT)组件。不幸的是,CBCT除了软组织对比度差之外,还因其低灵敏度而无法提供分子信息。因此,人们在这些放射治疗平台上进行了广泛的努力,试图在CBCT之外加入分子成像组件。作为这些努力的延伸,我们在此展示一种诊疗一体化的荧光断层扫描/CBCT引导的辐照器平台,该平台可提供解剖学和分子引导,能够克服单独CBCT的局限性。我们使用组织样体模和小鼠对我们的混合系统的性能进行了验证。两项研究均表明,当使用CBCT衍生的结构信息来约束反问题时,荧光断层扫描能够提供更准确的定量结果。在所有情况下,恢复的荧光吸光度误差降低了近10倍,从约60%降至6%。这非常重要,因为分子信息的高定量准确性对于正确评估与放射治疗相关的肿瘤微环境变化至关重要。