Noninvasive optical spectroscopy for identification of non‐melanoma skin cancer: Pilot study

Carpenter, David; Sajisevi, Mirabelle; Chapurin, Nikita; Brown, C. Scott; Cheng, Tracy; Palmer, Gregory M.; Stevenson, Daniel; Rao, Caroline L.; Hall, Russell P.; Woodard, Charles R.

doi:10.1002/lsm.22786

Cited by 11 publications

(16 citation statements)

References 36 publications

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“…In the literature, data concerning the use of NIRS in AK are still lacking, besides a few studies that have previously investigated its vascularization. Carpenter et al [ 19 ] have recently evaluated various cutaneous lesions through the use of optical spectroscopy that permits the measurement of different parameters, including the HHb and O 2 Hb concentration and saturation. Their study aimed to identify the benign or malignant nature of a cutaneous lesion through such techniques and to establish a concordance between spectroscopy and biopsy.…”

Section: Introductionmentioning

confidence: 99%

Non-Invasive Analysis of Actinic Keratosis before and after Topical Treatment Using a Cold Stimulation and Near-Infrared Spectroscopy

et al. 2020

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Background and objectives: The possible evolution of actinic keratoses (AKs) into invasive squamous cell carcinomas (SCC) makes their treatment and monitoring essential. AKs are typically monitored before and after treatment only through a visual analysis, lacking a quantitative measure to determine treatment effectiveness. Near-infrared spectroscopy (NIRS) is a non-invasive measure of the relative change of oxy-hemoglobin and deoxy-hemoglobin (O2Hb and HHb) in tissues. The aim of our study is to determine if a time and frequency analysis of the NIRS signals acquired from the skin lesion before and after a topical treatment can highlight quantitative differences between the AK skin lesion area. Materials and Methods: The NIRS signals were acquired from the skin lesions of twenty-two patients, with the same acquisition protocol: baseline signals, application of an ice pack near the lesion, removal of ice pack and acquisition of vascular recovery. We calculated 18 features from the NIRS signals, and we applied multivariate analysis of variance (MANOVA) to compare differences between the NIRS signals acquired before and after the therapy. Results: The MANOVA showed that the features computed on the NIRS signals before and after treatment could be considered as two statistically separate groups, after the ice pack removal. Conclusions: Overall, the NIRS technique with the cold stimulation may be useful to support non-invasive and quantitative lesion analysis and regression after a treatment. The results provide a baseline from which to further study skin lesions and the effects of various treatments.

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Section: Introductionmentioning

confidence: 99%

Non-Invasive Analysis of Actinic Keratosis before and after Topical Treatment Using a Cold Stimulation and Near-Infrared Spectroscopy

et al. 2020

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“…Likewise, scattering is used to determine physiological processes such as hemodynamics, 14 microcirculation 15 and helps determine tissue morphological characteristics like scatterer size and density 16,17 . Skin DRS spectra reflecting the contents from chromophores such as melanin, bilirubin, and oxy‐deoxyhemoglobin could reveal many diseased conditions like skin inflammation, 18–20 jaundice, 21 vitiligo, 22 melanoma 23 , etc. A typical DRS instrumentation consists of a light source, spectrometer, fibre optic probe for transmitting, and collection of light 24 .…”

Section: Introductionmentioning

confidence: 99%

Quantification of soft tissue parameters from spatially resolved diffuse reflectance finite element models

Vasudevan

Sujatha

2021

Numer Methods Biomed Eng

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Spatially resolved diffuse reflectance spectroscopy (SRDRS) is a non-invasive optical technique that helps in clinical diagnosis of various tissue microcirculation and skin pigmentation disorders based on collected backscattered light from multi-layered tissue. The extraction of the optical properties from the reflectance spectrum using analytical solutions is laborious. Model-based light tissue interaction studies help in quantifying the optical properties. This work presents the use of finite element models of light tissue interaction for this purpose. A bilayer model mimicking human skin was considered and the diffused reflectance spectra at multiple detector points were generated using finite element modelling for varying melanin concentration, epidermal thickness, blood volume fraction, oxygen saturation and scattering components. The reflectance value based on varying optical parameters from multiple detection points lead to the generation of a look-up table (LUT), which is further used for finding the tissue parameters that contribute to the spatially resolved reflectance values. The tissue parameters estimated after inverse modelling showed a high degree of agreement with the expected tissue parameters for a test dataset different from the training dataset.

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“…Diffuse reflectance spectroscopy as a sub‐group of spectroscopic methods is a non‐invasive real‐time technology for characterizing biological tissue and samples. The sample is illuminated with visible near‐infrared (NIR) light and the optical features of the tissue can be described on the basis of its absorption and scattering properties .…”

Section: Introductionmentioning

confidence: 99%

“…Qualitative and quantitative technologies such as phase contrast microscopy, infrared surface plasmon, and differential interference microscopy have been introduced for the determination of the refractive index of cells . These systems allow spatial distribution imaging of refractive indices ; however, it is difficult to extract analytical data and there are some limitations in these imaging technologies due to optical artifacts and reduced imaging resolution in which technical developments for correcting these limitations make them expensive. Instead, diffuse reflectance spectroscopy considered to be more easy‐to‐use optical technology .…”

Section: Introductionmentioning

confidence: 99%

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Non‐invasive Reflectance Spectroscopy for Normal and Cancerous Skin Cells Refractive Index Determination: An In Vitro Study

et al. 2019

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Background and Objective: Optical reflectance spectroscopy is a non-invasive technique for optical characterization of biological samples. Any alteration in a cell from normal or carcinogenic causes will change its refractive index. The aim of this study is to develop a computerized program for extraction of a refractive index of normal and cancerous skin cell lines, including melanoma, fibroblast, and adipose cells, using visible near-infrared reflectance spectra and the Kramers-Kronig (K-K) relations. Materials and Method: A fiber optic reflectance spectrometer in visible near-infrared wavelength was used for spectrum acquisition in an in vitro study. Human skin cell lines for melanoma (A375), fibroblast, and adipose sample were cultured for optical spectroscopy. Following data acquisition, an analytical MATLAB code was developed to run the K-K relations. The program was validated for three biological samples using an Abbe refractometer. Results: The validation error (below 5%) and determination of changes in the refractive index of melanoma, normal fibroblasts, and adipose skin cells was carried out at wavelengths of 450-950 nm. The refractive index of melanoma was 1.59270 ± 0.0550 at 450 nm, the minimum amount of 1.27790 ± 0.0550 to 1.321 ± 0.0550 at 620 nm, and rose sharply to 1.44321 ± 0.0550 at 935 nm. The respective results for fibroblast and adipose tissue cells were 1.33282 ± 0.0134 and 1.28345 ± 0.0163 at 450 nm with an increasing trend to 1.30494 ± 0.0135 and 1.26716 ± 0.0163 at 935 nm. Conclusion: Refractive index characteristics show potential for cancer screening and diagnosis. The results show that optical spectroscopy is a promising, non-invasive tool for assessment of the refractive index of living biological cells in in vitro settings. Tracking changes in the refractive index allows screening of normal and abnormal cells for probable alterations in a non-invasive label-free method. Lasers Surg. Med.

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Noninvasive optical spectroscopy for identification of non‐melanoma skin cancer: Pilot study

Cited by 11 publications

References 36 publications

Non-Invasive Analysis of Actinic Keratosis before and after Topical Treatment Using a Cold Stimulation and Near-Infrared Spectroscopy

Non-Invasive Analysis of Actinic Keratosis before and after Topical Treatment Using a Cold Stimulation and Near-Infrared Spectroscopy

Quantification of soft tissue parameters from spatially resolved diffuse reflectance finite element models

Non‐invasive Reflectance Spectroscopy for Normal and Cancerous Skin Cells Refractive Index Determination: An In Vitro Study

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