Ismail E, Orlando G, Corradini M L, Amerio P, Romani G L, Merla A
Department of Neuroscience and Imaging and ITAB-Institute of Advanced Biomedical Technologies, University 'G. d'Annunzio'-Chieti-Pescara, Italy.
Physiol Meas. 2014 Apr;35(4):703-16. doi: 10.1088/0967-3334/35/4/703. Epub 2014 Mar 12.
Raynaud's phenomenon (RP) is a vasospastic disorder of small arteries, pre-capillary arteries, and cutaneous arteriovenous shunts of the extremities, typically induced by cold exposure and emotional stress. RP is either primary (PRP) or secondary to connective tissue diseases such as systemic sclerosis (SSc). Early differential diagnosis is crucial in order to set the proper therapeutic strategy. To this goal, thermal infrared imaging data from 18 healthy controls (HCs) and 48 RP patients (20 PRP, 28 SSc) were processed through a model for a second-order time-invariant system with exponential critically damped dynamic response. Subject classification on the basis of the model parameters provides 100% true-positive discrimination for RP patients (PRP and SSc) and healthy, and 90% of correct classification within the group of patients. The proposed method may provide useful hints for early differential diagnosis in the assessment of RP disease.
雷诺现象（RP）是一种小动脉、毛细血管前动脉以及四肢皮肤动静脉分流处的血管痉挛性疾病，通常由寒冷暴露和情绪应激诱发。RP 可分为原发性（PRP）或继发于系统性硬化症（SSc）等结缔组织疾病。早期鉴别诊断对于制定恰当的治疗策略至关重要。为实现这一目标，对来自 18 名健康对照者（HCs）和 48 名 RP 患者（20 名 PRP，28 名 SSc）的热红外成像数据，通过一个具有指数临界阻尼动态响应的二阶时不变系统模型进行处理。基于模型参数的受试者分类对 RP 患者（PRP 和 SSc）与健康者提供了 100%的真阳性鉴别，并且在患者组内的正确分类率为 90%。所提出的方法可能为 RP 疾病评估中的早期鉴别诊断提供有用线索。
