Multispectral Optoacoustic Tomography (MSOT) is a promising imaging technology that utilizes pulsed laser light. While melanin content in the skin has been reported to influence light-based measurements in pulse oximetry and near-infrared spectroscopy, its effects on MSOT are not well understood. This proposed study aims to investigate how different Fitzpatrick skin phenotypes (FSP) and body mass index (BMI) influence muscle perfusion and oxygenation during arterial occlusion and muscle exercise over time. Healthy volunteers with varying skin tones (as defined by FSP) and BMI will be recruited and subjected to leg arterial occlusion and toe raise exercises. They will then be scanned on different body areas (arms and legs) to assess changes in muscle perfusion and oxygenation using MSOT.
Melanin, a pigment found in the skin, has been reported to influence light-based measurements such as pulse oximetry or near-infrared spectroscopy (NIRS). Studies have shown measurements overestimation of darker skin tones or in ethnicities assumed to have darker skin tones compared to lighter skin tones. Even though optoacoustic imaging (OAI) has a different depth penetration than NIRS or pulse oximetry, the technology uses pulse laser light to assess tissue. Multispectral Optoacoustic Tomography (MSOT) imaging is similar to conventional sonography: a transducer is placed on the skin, and instead of sound, energy is applied to the tissue by means of pulsed laser light. This leads to a constant change of minimal expansion and contraction of individual tissue components or molecules. The resulting sound waves can then be detected by the same device. Previous studies have already shown that the quantitative determination of hemoglobin can provide information on inflammatory activities or muscle hemodynamics. MSOT uses laser light between 660 and 1300nm to visualize and quantify different endogenous chromophores, such as hemoglobin, collagen, or melanin. Increase in melanin concentration (e.g. in melanomas or skin tags) has been previously assessed using the technology but never looked at signal at depth. Additionally, differences in body-mass-index (BMI) might influence light penetration, and therefore, the optoacoustic signal at depth. So far, no studies have looked at the influence of increased melanin concentration or subcutaneous fat on quantification of muscle perfusion and oxygenation. In this first pilot study, the aim is to investigate the influence of different Fitzpatrick skin phenotypes (FSP) and BMI on muscle perfusion and oxygenation during arterial occlusion or muscle exercise and over time. This information is essential for further studies with a more diverse study population. To gain insights into these differences, healthy volunteers with different skin tone (defined by FSP) and body-mass-index will be recruited and subjected to a leg arterial occlusion and to perform a toe raise exercise. They will then be scanned on different body areas (arm, legs) to assess changes in muscle perfusion and oxygenation by MSOT.
Study Type
OBSERVATIONAL
Enrollment
130
Non-invasive transcutaneous MSOT imaging of muscle regions.
iThera Medical Headquarters
Munich, Bavaria, Germany
RECRUITINGQuantitative hemoglobin-associated signal (in arbitrary units)
Hemoglobin signal in the measured muscle regions in all different cohorts
Time frame: immediately before and after intervention (occlusion and exercise)
Muscle oxygenation (in arbitrary units)
Oxygenated hemoglobin signal in the measured muscle regions in all different cohorts
Time frame: immediately before and after intervention (occlusion and exercise)
Oxygen saturation (in %)
Proportion of oxygenated hemoglobin signal compared with total hemoglobin signal in the measured muscle regions in all different cohorts
Time frame: immediately before and after intervention (occlusion and exercise)
Heart rate (in bpm)
heart rate of the healthy volunteers
Time frame: immediately before and after intervention (occlusion and exercise)
Blood pressure (in mm Hg)
blood pressure of the healthy volunteers
Time frame: immediately before and after intervention (occlusion and exercise)
Weight (in kg)
measured by body scale
Time frame: baseline
Age in years
Participant questionnaire.
Time frame: baseline
Gender: male, female, other
Participant questionnaire.
Time frame: baseline
Skin tone based on Fitzpatrick questionnaire self-assessment (type 1-6, 1 being the palest, 6 being the darkest)
Participant questionnaire.
Time frame: baseline
Dominant side
Participant questionnaire.
Time frame: baseline
Sport frequency
Participant questionnaire.
Time frame: baseline
Information on last physical exercise and caffeine and alcohol consumption
Participant questionnaire.
Time frame: baseline
Quantitative collagen, lipid, water and melanin signal (in arbitrary units)
Signal in the measured muscle regions and the skin (melanin) in all different cohorts
Time frame: immediately before and after intervention (occlusion and exercise)
Skin tone based on Fitzpatrick scale self-assessment (type 1-6, 1 being the palest, 6 being the darkest)
color card as reference
Time frame: baseline
Skin tone based on Fitzpatrick scale examiner-assessment (type 1-6, 1 being the palest, 6 being the darkest)
color card as reference
Time frame: baseline
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