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In vivo characterization of the optical and hemodynamic properties of the human sternocleidomastoid muscle through ultrasound-guided hybrid near-infrared spectroscopies.

Cortese, L.; Fenandez Esteberena, P.; Zanoletti, M.; Lo Presti, G.; Aranda Velazquez, G.; Ruiz Janer, S.; Buttafava, M.; Renna, M.; Di Sieno, L.; Tosi, A.; Dalla Mora, A.; Dehghani, H.; Wojtkiewicz, S.; de Fraguier, S.; Nguyen-Dinh, A.; Rosinski, B.; Weigel, U. M.; Mesquida, J.; Squarcia, M.; Hanzu, F. A.; Contini, D.; Mora Porta, M.; Durduran, T.

2023-06-30 physiology
10.1101/2023.06.30.544760 bioRxiv
Show abstract

The non-invasive monitoring of the hemodynamics and metabolism of the sternocleidomastoid muscle (SCM) during respiration became a topic of increased interest partially due to the increased use of mechanical ventilation during the COVID-19 pandemic. Near-infrared diffuse optical spectroscopies were proposed as potential practical monitors of increased recruitment of SCM during respiratory distress. They can provide clinically relevant information on the degree of the patients respiratory effort that is needed to maintain an optimal minute ventilation, with potential clinical application ranging from evaluating chronic pulmonary diseases to more acute settings, such as acute respiratory failure, or to determine the readiness to wean from invasive mechanical ventilation. In this paper, we present a detailed characterization of the optical properties (wave-length dependent absorption and reduced scattering coefficients) and hemodynamic properties (oxy-, deoxy- and total hemoglobin concentrations, blood flow, blood oxygen saturation and metabolic rate of oxygen extraction) of the human SCM, obtained by measuring sixty-five subjects through ultrasound-guided near-infrared time-resolved and diffuse correlation spectroscopies. We provide detailed tables of the results related to SCM baseline (i.e. muscle at rest) properties, and reveal significant differences on the measured parameters due to variables such as side of the neck, sex, age, body mass index and thickness of the overlaying tissues, allowing future clinical studies to take into account such dependencies.

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