Nonlinear relation between concentration and fluorescence emission of protoporphyrin IX in calibrated phantoms

Nonlinear relation between concentration and fluorescence emission of protoporphyrin IX in calibrated phantoms
复制标题

DOI:
10.1117/1.jbo.23.9.097002
复制
发表时间:
2018-09-01
影响因子:
3.5
通讯作者:
Montcel, Bruno
Montcel, Bruno
中科院分区:
医学3区
文献类型:
--
作者:
Alston, Laure;Rousseau, David;Montcel, Bruno

文献摘要

被引文献

相似文献

5-ALA诱导的原卟啉IX(PpIX)已显示出其在医疗辅助技术中的相关性,特别是在神经胶质瘤(脑肿瘤)的检测中。在体模上验证仪器是强制性的,最近提出了一个标准化程序。该过程产生实现PpIX浓度和荧光发射强度之间的线性关系的荧光体配方。本研究提出了这种线性关系不能使用的幻影。我们提出了一个模型,该模型考虑了PpIX的两种状态,对应于PpIX的两种不同聚集体,荧光光谱峰值分别在634和620 nm。我们表征这两种状态对PpIX荧光发射光谱的影响与稳定浓度的PpIX和各种微环境参数(表面活性剂,Intraperidid或牛血浓度,和pH值)的phantelum。我们发现,与固定的PpIX浓度,修改的微环境引起的变化的发射光谱,特别是在其中心波长的移位。我们表明,这种修改揭示了两种状态的比例的变化。这建立了幻影微环境制度,其中通常的单态模型是有偏的,而两个光谱的线性组合能够准确地恢复任何测量的光谱。(C)2018年,摄影光学仪器工程师协会(SPIE)
5-ALA-induced protoporphyrin IX (PpIX) has shown its relevance in medical assisting techniques, notably in the detection of glioma (brain tumors). Validation of instruments on phantoms is mandatory and a standardization procedure has recently been proposed. This procedure yields phantoms recipes to realize a linear relationship between PpIX concentration and fluorescence emission intensity. The present study puts forward phantoms where this linear relationship cannot be used. We propose a model that considers two states of PpIX, corresponding to two different aggregates of PpIX, with fluorescence spectra peaking at 634 and 620 nm, respectively. We characterize the influence of these two states on PpIX fluorescence emission spectra in phantoms with steady concentration of PpIX and various microenvironment parameters (surfactant, Intralipid or bovine blood concentration, and pH). We show that, with fixed PpIX concentration, a modification of the microenvironment induces a variation of the emitted spectrum, notably a shift in its central wavelength. We show that this modification reveals a variation of proportions of the two states. This establishes phantom microenvironment regimes where the usual single state model is biased while a linear combination of the two spectra enables accurate recovering of any measured spectra. (C) 2018 Society of Photo-Optical Instrumentation Engineers (SPIE)