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预测造影剂给药后的最佳对比时间,以提供个性化的荧光引导手术。

Prediction of optimal contrast times post-imaging agent administration to inform personalized fluorescence-guided surgery.

机构信息

Illinois Institute of Technology, United States.

Canary Ctr. at Stanford for Cancer Early Detection, Stanford Univ. School of Medicine, United States.

出版信息

J Biomed Opt. 2020 Nov;25(11). doi: 10.1117/1.JBO.25.11.116005.

Abstract

SIGNIFICANCE

Fluorescence guidance in cancer surgery (FGS) using molecular-targeted contrast agents is accelerating, yet the influence of individual patients' physiology on the optimal time to perform surgery post-agent-injection is not fully understood.

AIM

Develop a mathematical framework and analytical expressions to estimate patient-specific time-to-maximum contrast after imaging agent administration for single- and paired-agent (coadministration of targeted and control agents) protocols.

APPROACH

The framework was validated in mouse subcutaneous xenograft studies for three classes of imaging agents: peptide, antibody mimetic, and antibody. Analytical expressions estimating time-to-maximum-tumor-discrimination potential were evaluated over a range of parameters using the validated framework for human cancer parameters.

RESULTS

Correlations were observed between simulations and matched experiments and metrics of tumor discrimination potential (p  <  0.05). Based on human cancer physiology, times-to-maximum contrast for peptide and antibody mimetic agents were <200  min, >15  h for antibodies, on average. The analytical estimates of time-to-maximum tumor discrimination performance exhibited errors of <10  %   on average, whereas patient-to-patient variance is expected to be greater than 100%.

CONCLUSION

We demonstrated that analytical estimates of time-to-maximum contrast in FGS carried out patient-to-patient can outperform the population average time-to-maximum contrast used currently in clinical trials. Such estimates can be made with preoperative DCE-MRI (or similar) and knowledge of the targeted agent's binding affinity.

摘要

意义

使用分子靶向对比剂的癌症手术荧光引导(FGS)正在加速,但个体患者生理状况对注射造影剂后进行手术的最佳时间的影响尚未完全了解。

目的

开发一种数学框架和分析表达式,以估计单剂和双剂(靶向和对照剂联合给药)方案中成像剂给药后患者特定的最大对比度时间。

方法

该框架在三种成像剂的小鼠皮下异种移植研究中得到验证:肽、抗体模拟物和抗体。使用经过验证的人体癌症参数框架,在一系列参数范围内评估了估计最大肿瘤区分潜力的时间的分析表达式。

结果

模拟与匹配实验之间存在相关性,肿瘤区分潜力的度量(p<0.05)。基于人体癌症生理学,肽和抗体模拟物的最大对比度时间<200 分钟,抗体的最大对比度时间平均>15 小时。最大肿瘤区分性能的时间的分析估计平均误差<10%,而患者间的差异预计大于 100%。

结论

我们证明了 FGS 中最大对比度时间的分析估计可以在患者之间进行,并且可以优于目前临床试验中使用的人群平均最大对比度时间。可以使用术前 DCE-MRI(或类似物)和靶向剂的结合亲和力知识进行此类估计。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/33fc/7667427/138f1e0e6b93/JBO-025-116005-g001.jpg

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