Comparative assessment of healthy tissue oxygenation using near-infrared imaging, transcutaneous oxygen measurement, and plethysmography
Abstract The COVID-19 pandemic highlighted critical limitations in conventional pulse oximetry, especially in diverse populations. This study evaluates the performance of noninvasive devices for assessing tissue oxygenation in a cohort of 20 healthy individuals, with a focus on device sensitivity, p...
Saved in:
| Main Authors: | , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2025-08-01
|
| Series: | Scientific Reports |
| Subjects: | |
| Online Access: | https://doi.org/10.1038/s41598-025-15767-2 |
| Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
| _version_ | 1849226389534801920 |
|---|---|
| author | Mohamed El Masry Runjia Li Goundappa K. Balasubramani Sashwati Roy Chandan K. Sen Surya C. Gnyawali |
| author_facet | Mohamed El Masry Runjia Li Goundappa K. Balasubramani Sashwati Roy Chandan K. Sen Surya C. Gnyawali |
| author_sort | Mohamed El Masry |
| collection | DOAJ |
| description | Abstract The COVID-19 pandemic highlighted critical limitations in conventional pulse oximetry, especially in diverse populations. This study evaluates the performance of noninvasive devices for assessing tissue oxygenation in a cohort of 20 healthy individuals, with a focus on device sensitivity, physiological and demographic variables. Tissue oxygenation was measured using devices: spatial frequency domain imaging (SFDI), transcutaneous oxygen measurement (TCOM), wearable photoplethysmography (WD), and pulse oximetry (PO) during baseline, ischemia, and reperfusion phases. Comparative analyses were performed across devices, sex and Fitzpatrick skin types. Among the four devices, SFDI uniquely detected significant differences in tissue oxygen saturation (StO2), highlighting its sensitivity to tissue heterogeneity. PO and WD data showed moderate correlation (r = 0.44–0.59); SFDI and TCOM demonstrated fair correlation (r = 0.23–0.36). Although sex-based differences were minimal, the SFDI revealed significantly different recovery metrics. Notably, SFDI provided deeper insights into hemoglobin dynamics (HbO2, dHb, HbP1, HbP2), which was not captured by point-measurement devices. Results demonstrated that SFDI offers superior spatial/spectral resolution for mapping tissue oxygenation, particularly in detecting skin-type variations. However, device-specific limitations such as motion artifacts and melanin interference necessitate further optimization. This work supports the development of more inclusive and accurate non-invasive monitoring tools for clinical use. Trial registration: ClinicalTrials.gov ID NCT05784103. |
| format | Article |
| id | doaj-art-e475702cdb404f84bbaaaf83fb48c678 |
| institution | Kabale University |
| issn | 2045-2322 |
| language | English |
| publishDate | 2025-08-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj-art-e475702cdb404f84bbaaaf83fb48c6782025-08-24T11:24:10ZengNature PortfolioScientific Reports2045-23222025-08-0115111510.1038/s41598-025-15767-2Comparative assessment of healthy tissue oxygenation using near-infrared imaging, transcutaneous oxygen measurement, and plethysmographyMohamed El Masry0Runjia Li1Goundappa K. Balasubramani2Sashwati Roy3Chandan K. Sen4Surya C. Gnyawali5McGowan Institute for Regenerative Medicine, Department of Surgery, University of Pittsburgh School of MedicineDepartment of Biostatistics, School of Public Health, University of PittsburghDepartment of Epidemiology, School of Public Health, University of PittsburghMcGowan Institute for Regenerative Medicine, Department of Surgery, University of Pittsburgh School of MedicineMcGowan Institute for Regenerative Medicine, Department of Surgery, University of Pittsburgh School of MedicineMcGowan Institute for Regenerative Medicine, Department of Surgery, University of Pittsburgh School of MedicineAbstract The COVID-19 pandemic highlighted critical limitations in conventional pulse oximetry, especially in diverse populations. This study evaluates the performance of noninvasive devices for assessing tissue oxygenation in a cohort of 20 healthy individuals, with a focus on device sensitivity, physiological and demographic variables. Tissue oxygenation was measured using devices: spatial frequency domain imaging (SFDI), transcutaneous oxygen measurement (TCOM), wearable photoplethysmography (WD), and pulse oximetry (PO) during baseline, ischemia, and reperfusion phases. Comparative analyses were performed across devices, sex and Fitzpatrick skin types. Among the four devices, SFDI uniquely detected significant differences in tissue oxygen saturation (StO2), highlighting its sensitivity to tissue heterogeneity. PO and WD data showed moderate correlation (r = 0.44–0.59); SFDI and TCOM demonstrated fair correlation (r = 0.23–0.36). Although sex-based differences were minimal, the SFDI revealed significantly different recovery metrics. Notably, SFDI provided deeper insights into hemoglobin dynamics (HbO2, dHb, HbP1, HbP2), which was not captured by point-measurement devices. Results demonstrated that SFDI offers superior spatial/spectral resolution for mapping tissue oxygenation, particularly in detecting skin-type variations. However, device-specific limitations such as motion artifacts and melanin interference necessitate further optimization. This work supports the development of more inclusive and accurate non-invasive monitoring tools for clinical use. Trial registration: ClinicalTrials.gov ID NCT05784103.https://doi.org/10.1038/s41598-025-15767-2Fitzpatrick skin typesTissue oxygenationHemoglobin perfusionPulse oximeterWearable deviceSpatial frequency domain imaging |
| spellingShingle | Mohamed El Masry Runjia Li Goundappa K. Balasubramani Sashwati Roy Chandan K. Sen Surya C. Gnyawali Comparative assessment of healthy tissue oxygenation using near-infrared imaging, transcutaneous oxygen measurement, and plethysmography Scientific Reports Fitzpatrick skin types Tissue oxygenation Hemoglobin perfusion Pulse oximeter Wearable device Spatial frequency domain imaging |
| title | Comparative assessment of healthy tissue oxygenation using near-infrared imaging, transcutaneous oxygen measurement, and plethysmography |
| title_full | Comparative assessment of healthy tissue oxygenation using near-infrared imaging, transcutaneous oxygen measurement, and plethysmography |
| title_fullStr | Comparative assessment of healthy tissue oxygenation using near-infrared imaging, transcutaneous oxygen measurement, and plethysmography |
| title_full_unstemmed | Comparative assessment of healthy tissue oxygenation using near-infrared imaging, transcutaneous oxygen measurement, and plethysmography |
| title_short | Comparative assessment of healthy tissue oxygenation using near-infrared imaging, transcutaneous oxygen measurement, and plethysmography |
| title_sort | comparative assessment of healthy tissue oxygenation using near infrared imaging transcutaneous oxygen measurement and plethysmography |
| topic | Fitzpatrick skin types Tissue oxygenation Hemoglobin perfusion Pulse oximeter Wearable device Spatial frequency domain imaging |
| url | https://doi.org/10.1038/s41598-025-15767-2 |
| work_keys_str_mv | AT mohamedelmasry comparativeassessmentofhealthytissueoxygenationusingnearinfraredimagingtranscutaneousoxygenmeasurementandplethysmography AT runjiali comparativeassessmentofhealthytissueoxygenationusingnearinfraredimagingtranscutaneousoxygenmeasurementandplethysmography AT goundappakbalasubramani comparativeassessmentofhealthytissueoxygenationusingnearinfraredimagingtranscutaneousoxygenmeasurementandplethysmography AT sashwatiroy comparativeassessmentofhealthytissueoxygenationusingnearinfraredimagingtranscutaneousoxygenmeasurementandplethysmography AT chandanksen comparativeassessmentofhealthytissueoxygenationusingnearinfraredimagingtranscutaneousoxygenmeasurementandplethysmography AT suryacgnyawali comparativeassessmentofhealthytissueoxygenationusingnearinfraredimagingtranscutaneousoxygenmeasurementandplethysmography |