New evidence from hyperspectral imaging analysis on the effect of photobiomodulation therapy on normal skin oxygenation

Chung H, Dai T, Sharma SK et al (2012) The nuts and bolts of low-level laser (light) therapy. Ann Biomed Eng 40:516–533. https://doi.org/10.1007/s10439-011-0454-7 Cotler HB (2015) The use of low level laser therapy (LLLT) for musculoskeletal pain. MOJ Orthop Rheumatol. https://doi.org/10.15406/mojor.2015.02.00068 Yadav A, Gupta A (2017) Noninvasive red and near-infrared wavelength-induced photobiomodulation: promoting impaired cutaneous wound healing. Photodermatol Photoimmunol Photomed 33:4–13. https://doi.org/10.1111/phpp.12282 Dompe C, Moncrieff L, Matys J et al (2020) Photobiomodulation—underlying mechanism and clinical applications. J Clin Med 9:1724. https://doi.org/10.3390/jcm9061724 Anders JJ, Lanzafame RJ, Arany PR (2015) Low-level light/laser therapy versus photobiomodulation therapy. Photomed Laser Surg 33:183–184 De Freitas LF, Hamblin MR (2016) Proposed mechanisms of photobiomodulation or low-level light therapy. IEEE J Sel Top Quantum Electron 22:348–364. https://doi.org/10.1109/JSTQE.2016.2561201 Yamany AA, Sayed HM (2012) Effect of low level laser therapy on neurovascular function of diabetic peripheral neuropathy. J Adv Res 3:21–28. https://doi.org/10.1016/j.jare.2011.02.009 Frangez I, Cankar K, Ban Frangez H, Smrke DM (2017) The effect of LED on blood microcirculation during chronic wound healing in diabetic and non-diabetic patients—a prospective, double-blind randomized study. Lasers Med Sci 32:887–894. https://doi.org/10.1007/s10103-017-2189-7 Linares SN, Beltrame T, Ferraresi C et al (2020) Photobiomodulation effect on local hemoglobin concentration assessed by near-infrared spectroscopy in humans. Lasers Med Sci 35:641–649. https://doi.org/10.1007/s10103-019-02861-x Wang X, Tian F, Soni SS, et al (2016) Interplay between up-regulation of cytochrome-c-oxidase and hemoglobin oxygenation induced by near-infrared laser. Sci Rep. https://doi.org/10.1038/srep30540 Heu F, Forster C, Namer B et al (2013) Effect of low-level laser therapy on blood flow and oxygen- hemoglobin saturation of the foot skin in healthy subjects: a pilot study. Laser Ther 22:21–30. https://doi.org/10.5978/islsm.13-OR-03 Rogatkin DA, Dunaev AV (2014) Stimulation of blood microcirculation at low level laser therapy: Monitoring tools and preliminary data. Int J Med Res Dev 3(1):100–106 Goetz AFH (2009) Three decades of hyperspectral remote sensing of the Earth: a personal view. Remote Sens Environ 113:S5–S16. https://doi.org/10.1016/j.rse.2007.12.014 Goetz AFH, Vane G, Solomon JE, Rock BN (1985) Imaging spectrometry for earth remote sensing. Science (80- ) 228:1147–1153. https://doi.org/10.1126/science.228.4704.1147 Zhang Y, Wu X, He L et al (2020) Applications of hyperspectral imaging in the detection and diagnosis of solid tumors. Transl Cancer Res 9:1265–1277. https://doi.org/10.21037/tcr.2019.12.53 Paluchowski LA, Nordgaard HB, Bjorgan A et al (2016) Can spectral–spatial image segmentation be used to discriminate experimental burn wounds? J Biomed Opt 21:101413. https://doi.org/10.1117/1.jbo.21.10.101413 Parasca SV, Calin MA, Manea D et al (2018) Hyperspectral index-based metric for burn depth assessment. Biomed Opt Express 9:5778. https://doi.org/10.1364/boe.9.005778 Yang Q, Sun S, Jeffcoate W et al (2018) Investigation of the performance of hyperspectral imaging by principal component analysis in the prediction of healing of diabetic foot ulcers. J Imaging 4:144. https://doi.org/10.3390/jimaging4120144 Chiang N, Jain JK, Sleigh J, Vasudevan T (2017) Evaluation of hyperspectral imaging technology in patients with peripheral vascular disease. In: Journal of Vascular Surgery. Mosby Inc., pp 1192–1201 Liu N, Guo Y, Jiang H, Yi W (2020) Gastric cancer diagnosis using hyperspectral imaging with principal component analysis and spectral angle mapper. J Biomed Opt 25:1. https://doi.org/10.1117/1.JBO.25.6.066005 Fabelo H, Ortega S, Ravi D et al (2018) Spatio-spectral classification of hyperspectral images for brain cancer detection during surgical operations. PLoS ONE 13:e0193721. https://doi.org/10.1371/journal.pone.0193721 Halicek M, Fabelo H, Ortega S et al (2019) Hyperspectral imaging for head and neck cancer detection: specular glare and variance of the tumor margin in surgical specimens. J Med Imaging 6:1. https://doi.org/10.1117/1.jmi.6.3.035004 Li Y, Xie X, Yang X, et al (2019) Diagnosis of early gastric cancer based on fluorescence hyperspectral imaging technology combined with partial-least-square discriminant analysis and support vector machine. J Biophotonics. https://doi.org/10.1002/jbio.201800324 Torti E, Florimbi G, Castelli F et al (2018) Parallel K-means clustering for brain cancer detection using hyperspectral images. Electronics 7:283. https://doi.org/10.3390/electronics7110283 Denstedt M, Pukstad BS, Paluchowski LA, et al (2013) Hyperspectral imaging as a diagnostic tool for chronic skin ulcers. In: Kollias N, Choi B, Zeng H, et al (eds) Photonic Therapeutics and Diagnostics IX. SPIE, p 85650N Carmona Jaramillo D, Escobar JE, Galeano J, Torres-Madronero MC (2020) Design of a multilayer neural network for the classification of skin ulcers’ hyperspectral images: a proof of concept. In: Brieva J, Romero E, Lepore N (eds) 15th International Symposium on Medical Information Processing and Analysis. SPIE, p 14 Chen YM, Lai KL, Chen HH et al (2020) Hyperspectral imaging for skin assessment in systemic sclerosis: a pilot study. Revmatol 59:3201–3210. https://doi.org/10.1093/rheumatology/keaa067 Sassaroli A, Fantini S (2004) Comment on the modified Beer-Lambert law for scattering media. Phys Med Biol 49 Moré JJ (1978) The Levenberg-Marquardt algorithm: implementation and theory. Springer, Berlin, Heidelberg, pp 105–116 Polder G, van der Heijden GWAM, Keizer LCP, Young IT (2003) Calibration and characterisation of imaging spectrographs. J Near Infrared Spectrosc 11:193–210. https://doi.org/10.1255/jnirs.366 Green AA, Berman M, Switzer P, Craig MD (1988) A transformation for ordering multispectral data in terms of image quality with implications for noise removal. IEEE Trans Geosci Remote Sens 26:65–74. https://doi.org/10.1109/36.3001 Miclos S, Parasca SV, Calin MA et al (2015) Algorithm for mapping cutaneous tissue oxygen concentration using hyperspectral imaging. Biomed Opt Express 6:3420. https://doi.org/10.1364/boe.6.003420 Mishra P, Pandey CM, Singh U et al (2019) Descriptive statistics and normality tests for statistical data. Ann Card Anaesth 22:67–72. https://doi.org/10.4103/aca.ACA_157_18 Khaodhiar L, Dinh T, Schomacker KT et al (2007) The use of medical hyperspectral technology to evaluate microcirculatory changes in diabetic foot ulcers and to predict clinical outcomes. Diabetes Care 30:903–910. https://doi.org/10.2337/dc06-2209 Calin MA, Boiangiu IC, Parasca SV et al (2017) Blood oxygenation monitoring using hyperspectral imaging after flap surgery. Spectrosc Lett 50:150–155. https://doi.org/10.1080/00387010.2017.1297957 Marotz J, Kulcke A, Siemers F, et al (2019) Extended perfusion parameter estimation from hyperspectral imaging data for bedside diagnostic in medicine. Molecules. https://doi.org/10.3390/molecules24224164 Calin MA, Macovei A, Miclos S et al (2017) Simulated altitude exposure assessment by hyperspectral imaging. J Biomed Opt 22:056012. https://doi.org/10.1117/1.jbo.22.5.056012 Chin MS (2012) Hyperspectral imaging for early detection of oxygenation and perfusion changes in irradiated skin. J Biomed Opt 17:026010. https://doi.org/10.1117/1.jbo.17.2.026010