Lindberg Lotte, Kristensen Bent, Thomsen Jane F, Eldrup Ebbe, Jensen Lars T
Department of Nuclear Medicine, Copenhagen University Hospital, Herlev Hospital, Borgmester Ib Juuls Vej 1, 2730 Herlev, Denmark.
Department of Occupational and Environmental Medicine, Copenhagen University Hospital, Bispebjerg and Frederiksberg Hospital, Bispebjerg Bakke 23, 2400 Copenhagen NV, Denmark.
Diagnostics (Basel). 2021 Mar 20;11(3):558. doi: 10.3390/diagnostics11030558.
Raynaud's phenomenon (RP) is characterized by the episodic whitening of the fingers upon exposure to cold. Verification of the condition is crucial in vibration-exposed patients. The current verification method is outdated, but thermographic imaging seems promising as a diagnostic replacement. By investigating patients diagnosed with RP, the study aimed at developing a simple thermographic procedure that could be applied to future patients where verification of the diagnosis is needed. Twenty-two patients with primary RP and 58 healthy controls were examined using thermographic imaging after local cooling of the hands for 1 min in water of 10°C. A logistic regression model was fitted with the temperature curve characteristics to convey a predicted probability of having RP. The characteristics time to end temperature and baseline temperature were the most appropriate predictors of RP among those examined ( = 0.004 and = 0.04, respectively). The area under the curve was 0.91. The cut-off level 0.46 yielded a sensitivity and specificity of 82% and 86%, respectively. The positive and negative predictive values were 69% and 93%, respectively. This newly developed thermographic method was able to distinguish between patients with RP and healthy controls and was easy to operate. Thus, the method showed great promise as a method for verification of RP in future patients. Trial registration: ClinicalTrials.gov NCT03094910.
雷诺现象(RP)的特征是手指在接触寒冷时出现间歇性变白。对于接触振动的患者,对该病症的核实至关重要。当前的核实方法已过时,但热成像似乎有望成为一种诊断替代方法。通过对诊断为RP的患者进行研究,该研究旨在开发一种简单的热成像程序,可应用于未来需要核实诊断的患者。对22例原发性RP患者和58例健康对照者在10°C水中对手部进行1分钟局部冷却后,使用热成像进行检查。拟合了一个逻辑回归模型,其具有温度曲线特征以传达患RP的预测概率。在检查的那些特征中,结束温度的特征时间和基线温度是RP最合适的预测指标(分别为 = 0.004和 = 0.04)。曲线下面积为0.91。截止水平0.46产生的敏感性和特异性分别为82%和86%。阳性和阴性预测值分别为69%和93%。这种新开发的热成像方法能够区分RP患者和健康对照者,并且易于操作。因此,该方法作为未来患者RP核实方法显示出巨大潜力。试验注册:ClinicalTrials.gov NCT03094910。