Significance: Peripheral pitting edema is a clinician-administered measure for grading edema. Peripheral edema is graded 0, 1 + , 2 + , 3 + , or 4 + , but subjectivity is a major limitation of this technique. A pilot clinical study for short-wave infrared (SWIR) molecular chemical imaging (MCI) effectiveness as an objective, non-contact quantitative peripheral edema measure is underway. Aim: We explore if SWIR MCI can differentiate populations with and without peripheral edema. Further, we evaluate the technology for correctly stratifying subjects with peripheral edema. Approach: SWIR MCI of shins from healthy subjects and heart failure (HF) patients was performed. Partial least squares discriminant analysis (PLS-DA) was used to discriminate the two populations. PLS regression (PLSR) was applied to assess the ability of MCI to grade edema. Results: Average spectra from edema exhibited higher water absorption than non-edema spectra. SWIR MCI differentiated healthy volunteers from a population representing all pitting edema grades with 97.1% accuracy (N = 103 shins). Additionally, SWIR MCI correctly classified shin pitting edema levels in patients with 81.6% accuracy. Conclusions: Our study successfully achieved the two primary endpoints. Application of SWIR MCI to monitor patients while actively receiving HF treatment is necessary to validate SWIR MCI as an HF monitoring technology.

中文翻译：

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短波红外分子化学成像对心力衰竭患者外周水肿的客观测定

意义：外周凹陷性水肿是临床医生管理的水肿分级措施。外周水肿分级为 0、1 +、2 +、3 + 或 4 +，但主观性是该技术的主要限制。一项关于短波红外 (SWIR) 分子化学成像 (MCI) 有效性作为客观、非接触定量外周水肿措施的临床试验研究正在进行中。目的：我们探索 SWIR MCI 是否可以区分有和没有外周水肿的人群。此外，我们评估了正确分层外周水肿受试者的技术。方法：对健康受试者和心力衰竭 (HF) 患者的胫骨进行 SWIR MCI。偏最小二乘判别分析（PLS-DA）用于区分这两个群体。应用 PLS 回归 (PLSR) 来评估 MCI 分级水肿的能力。结果：水肿的平均光谱表现出比非水肿光谱更高的吸水率。SWIR MCI 将健康志愿者与代表所有凹陷性水肿等级的人群区分开来，准确度为 97.1%（N = 103 胫骨）。此外，SWIR MCI 以 81.6% 的准确率正确分类了患者的胫骨凹陷性水肿水平。结论：我们的研究成功实现了两个主要终点。SWIR MCI 在积极接受 HF 治疗的同时监测患者的应用对于验证 SWIR MCI 作为 HF 监测技术是必要的。6% 的准确率。结论：我们的研究成功实现了两个主要终点。SWIR MCI 在积极接受 HF 治疗的同时监测患者的应用对于验证 SWIR MCI 作为 HF 监测技术是必要的。6% 的准确率。结论：我们的研究成功实现了两个主要终点。SWIR MCI 在积极接受 HF 治疗的同时监测患者的应用对于验证 SWIR MCI 作为 HF 监测技术是必要的。