Detection of cutaneous oxygen saturation using a novel snapshot hyperspectral camera: a feasibility study. Academic Article uri icon

Overview

abstract

  • BACKGROUND: Tissue necrosis, a consequence of inadequate tissue oxygenation, is a common post-operative complication. As current surgical assessments are often limited to visual and tactile feedback, additional techniques that can aid in the interrogation of tissue viability are needed to improve patient outcomes. In this bi-institutional pilot study, the performance of a novel snapshot hyperspectral imaging camera to detect superficial cutaneous oxygen saturation (StO2) was evaluated. METHODS: Healthy human volunteers were recruited at two participating centers. Cutaneous StO2 of the forearm was determined by a snapshot hyperspectral camera on two separate study days during occlusion-reperfusion of the brachial artery and after induction of local vasodilation. To calculate the blood StO2 at each pixel in the multispectral image, spectra were selected, and fitting was performed over wavelengths ranging from 470 to 950 nm. RESULTS: Quantitative detection of physiological changes in cutaneous StO2 levels was feasible in all sixteen volunteers. A significant (P<0.001) decrease in cutaneous StO2 levels from 78.3% (SD: 15.3) at baseline to 60.6% (SD: 19.8) at the end of occlusion phase was observed, although StO2 levels returned to baseline after five minutes. Mean cutaneous StO2 values were similar in the same subjects on separate study days (Pearson R2: 0.92 and 0.77, respectively) at both centers. Local vasodilation did not yield significant changes in cutaneous StO2 values. CONCLUSIONS: This pilot study demonstrated the feasibility of a snapshot hyperspectral camera for detecting quantitative physiological changes in cutaneous StO2 in normal human volunteers, and serves as a precursor for further validation in perioperative studies.

publication date

  • September 1, 2021

Identity

PubMed Central ID

  • PMC4866462

Scopus Document Identifier

  • 85109291865

Digital Object Identifier (DOI)

  • 10.21037/qims-21-46

PubMed ID

  • 34476182

Additional Document Info

volume

  • 11

issue

  • 9