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双红外视觉热成像能否为穿支静脉及反流严重程度提供更可靠的诊断?

Can Dual Infrared-Visual Thermography Provide a More Reliable Diagnosis of Perforator Veins and Reflux Severity?

作者信息

Dávalos Marcelo Pastor Almada, Brioschi Marcos Leal, da Rosa Samir Ezequiel, Brioschi Gabriel Carneiro, Neves Eduardo Borba

机构信息

Argentine Medical Association, National University of La Plata (FMUNLP), La Plata B1900, Argentina.

Neurology Department, Hospital das Clínicas, São Paulo University, Sao Paulo 05508-220, Brazil.

出版信息

J Clin Med. 2023 Nov 14;12(22):7085. doi: 10.3390/jcm12227085.

Abstract

The accurate identification of perforator veins (PV) in asymptomatic veins that do not meet the criteria established by venous Doppler (VD) is a complex challenge, considered the gold standard in diagnosis, and is operator-dependent. This study explored the potential of dual infrared-visual thermography (IRVT) to identify PV in 99 patients aged 29 to 80 years. IRVT was conducted using a high-definition hyperspectral visual-infrared sensor. The temperature difference (ΔT) between maximum temperature (Tmax) and minimum temperature (Tmin) within the region of interest (ROI) served as an indicator for assessing vascular dysfunction severity. Comparative analysis was performed with VD results obtained using a Doppler ultrasound unit equipped with a 7.5 MHz linear transducer. Significant statistical differences ( < 0.05) in ΔT (Tmax-Tmin) were observed among PV sites categorized by reflux severity: no reflux (ΔT = 1.2 °C), mild reflux (ΔT = 1.8 °C), moderate reflux (ΔT = 2.9 °C), and severe reflux (ΔT = 3.6 °C). This study concludes that IRVT effectively distinguishes varying degrees of vascular reflux severity. IRVT shows promise as a non-invasive, radiation-free tool to enhance PV identification, especially in challenging cases, potentially improving patient outcomes and healthcare management. Further research is required to validate and refine its diagnostic utility.

摘要

在不符合静脉多普勒(VD)既定标准的无症状静脉中准确识别穿支静脉(PV)是一项复杂的挑战,静脉多普勒被视为诊断的金标准,且依赖操作人员。本研究探讨了双红外视觉热成像(IRVT)在99名年龄在29至80岁患者中识别PV的潜力。IRVT使用高清高光谱视觉红外传感器进行。感兴趣区域(ROI)内最高温度(Tmax)与最低温度(Tmin)之间的温差(ΔT)用作评估血管功能障碍严重程度的指标。使用配备7.5 MHz线性换能器的多普勒超声设备获得的VD结果进行对比分析。在按反流严重程度分类的PV部位中,观察到ΔT(Tmax - Tmin)存在显著统计学差异(<0.05):无反流(ΔT = 1.2°C)、轻度反流(ΔT = 1.8°C)、中度反流(ΔT = 2.9°C)和重度反流(ΔT = 3.6°C)。本研究得出结论,IRVT能有效区分不同程度的血管反流严重程度。IRVT有望成为一种无创、无辐射的工具,以增强PV识别,尤其是在具有挑战性的病例中,可能改善患者预后和医疗管理。需要进一步研究来验证和完善其诊断效用。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/6127/10672064/9654c87f0f72/jcm-12-07085-g001.jpg

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