Marcu L, Fishbein M C, Maarek J M, Grundfest W S
Laser Research and Technology Development, Cedars-Sinai Medical Center, Los Angeles, CA 90048, USA.
Arterioscler Thromb Vasc Biol. 2001 Jul;21(7):1244-50. doi: 10.1161/hq0701.092091.
Lesion composition plays a significant role in atherosclerotic lesion instability and rupture. Current clinical techniques cannot fully characterize lesion composition or accurately identify unstable lesions. This study investigates the use of time-resolved fluorescence spectroscopy for unstable atherosclerotic lesion diagnosis. The fluorescence of human coronary artery samples was induced with nitrogen laser and detected in the 360- to 510-nm wavelength range. The samples were sorted into 7 groups according to the AHA classification: normal wall and types I, II(a) (fatty streaks), III (preatheroma), IV (atheroma), V(a) (fibrous), and V(b) (calcified) lesions. Spectral intensities and time-dependent parameters [average lifetime tau(f); decay constants: tau(1) (fast-term), tau(2) (slow-term), A(1) (fast-term amplitude contribution)] derived from the time-resolved spectra of coronary samples were used for tissue characterization. We determined that a few intensity values at longer wavelengths (>430 nm) and time-dependent parameters at peak emission region (390 nm) discriminate between all types of arterial samples except between normal wall and type I lesions. The lipid-rich lesions (more unstable) can be discriminated from fibrous lesions (more stable) on the basis of time-dependent parameters (lifetime and fast-term decay). We inferred that features of lipid fluorescence are reflected on lipid-rich lesion emission. Our results demonstrate that analysis of the time-resolved spectra may be used to enhance the discrimination between different grades of atherosclerotic lesions and provide a means of discrimination between lipid-rich and fibrous lesions.
病变成分在动脉粥样硬化病变的不稳定性和破裂中起着重要作用。目前的临床技术无法完全表征病变成分或准确识别不稳定病变。本研究探讨了时间分辨荧光光谱在不稳定动脉粥样硬化病变诊断中的应用。用氮激光激发人冠状动脉样本的荧光,并在360至510纳米波长范围内进行检测。根据美国心脏协会(AHA)分类,将样本分为7组:正常管壁以及I型、II(a)型(脂肪条纹)、III型(粥样硬化前期)、IV型(粥样瘤)、V(a)型(纤维性)和V(b)型(钙化)病变。从冠状动脉样本的时间分辨光谱中得出的光谱强度和时间相关参数[平均寿命tau(f);衰减常数:tau(1)(快速项)、tau(2)(慢速项)、A(1)(快速项幅度贡献)]用于组织表征。我们确定,在较长波长(>430纳米)处的一些强度值以及在峰值发射区域(390纳米)处的时间相关参数可区分除正常管壁和I型病变之外的所有类型的动脉样本。基于时间相关参数(寿命和快速项衰减),富含脂质的病变(更不稳定)可与纤维性病变(更稳定)区分开来。我们推断脂质荧光特征反映在富含脂质的病变发射上。我们的结果表明,对时间分辨光谱的分析可用于增强不同等级动脉粥样硬化病变之间的区分,并提供一种区分富含脂质和纤维性病变的方法。