A new LED-based multispectral imaging system for blood and melanin content estimation: The validation

Setiadi, Iwan Cony; Nasution, Aulia; Chandra, Theodore Gautama

doi:10.1063/1.5139390

Cited by 5 publications

(3 citation statements)

References 9 publications

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“…There are many skin disorders which may resemble melanoma, including dysplastic nevus, lentigo maligna, congenital and acquired pigmented nevi, non-melanoma skin cancers, Bowen's disease, actinic keratosis, Spitz-nevus, blue nevus, hemorrhage and SK [14,19,[56][57][58][59][60]. There is an increasing number of multispectral imaging techniques in the market developed to diagnose skin diseases since 1994 [61,62]. Many of these techniques became commercialized, such as SIAscope [63], MelaFind [59] and SpectroShade [64] to aid the diagnosis of melanoma.…”

Section: Discussionmentioning

confidence: 99%

Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis

et al. 2021

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Melanoma is a melanocytic tumor that is responsible for the most skin cancer-related deaths. By contrast, seborrheic keratosis (SK) is a very common benign lesion with a clinical picture that may resemble melanoma. We used a multispectral imaging device to distinguish these two entities, with the use of autofluorescence imaging with 405 nm and diffuse reflectance imaging with 525 and 660 narrow-band LED illumination. We analyzed intensity descriptors of the acquired images. These included ratios of intensity values of different channels, standard deviation and minimum/maximum values of intensity of the lesions. The pattern of the lesions was also assessed with the use of particle analysis. We found significantly higher intensity values in SKs compared with melanoma, especially with the use of the autofluorescence channel. Moreover, we found a significantly higher number of particles with high fluorescence in SKs. We created a parameter, the SK index, using these values to differentiate melanoma from SK with a sensitivity of 91.9% and specificity of 57.0%. In conclusion, this imaging technique is potentially applicable to distinguish melanoma from SK based on the analysis of various quantitative parameters. For this application, multispectral imaging could be used as a screening tool by general physicians and non-experts in the everyday practice.

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Section: Discussionmentioning

confidence: 99%

Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis

et al. 2021

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“…This method combines the advantages of spectrophotometry (spectral resolution) and digital cameras (spatial resolution) [ 23 ]. MSI has been used formerly to distant map skin chromophores, such as hemoglobin and melanin [ 27 ]. The primary advantage of MSI compared to other imaging modalities is its cost-effectiveness and that it can also be implemented into smartphone cameras [ 28 , 29 ].…”

Section: Introductionmentioning

confidence: 99%

Multispectral Imaging Algorithm Predicts Breslow Thickness of Melanoma

Bozsányi

Varga

Farkas

et al. 2021

JCM

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Breslow thickness is a major prognostic factor for melanoma. It is based on histopathological evaluation, and thus it is not available to aid clinical decision making at the time of the initial melanoma diagnosis. In this work, we assessed the efficacy of multispectral imaging (MSI) to predict Breslow thickness and developed a classification algorithm to determine optimal safety margins of the melanoma excision. First, we excluded nevi from the analysis with a novel quantitative parameter. Parameter s’ could differentiate nevi from melanomas with a sensitivity of 89.60% and specificity of 88.11%. Following this step, we have categorized melanomas into three different subgroups based on Breslow thickness (≤1 mm, 1–2 mm and >2 mm) with a sensitivity of 78.00% and specificity of 89.00% and a substantial agreement (κ = 0.67; 95% CI, 0.58–0.76). We compared our results to the performance of dermatologists and dermatology residents who assessed dermoscopic and clinical images of these melanomas, and reached a sensitivity of 60.38% and specificity of 80.86% with a moderate agreement (κ = 0.41; 95% CI, 0.39–0.43). Based on our findings, this novel method may help predict the appropriate safety margins for curative melanoma excision.

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“…The MSI name is used for techniques employing ten or less than ten spectral bands; modalities using more than ten are called hyperspectral imaging (HSI) techniques [ 23 ]. The main advantage of this technique is the combination of spectrophotometry (spectral resolution) and digital cameras (spatial resolution) [ 14 , 24 ], visualizing the light–tissue interactions of the skin [ 23 ]. The skin has many chromophores which interact with the irradiating light, including melanin, oxy- and deoxyhemoglobin, bilirubin, and collagen [ 25 ], allowing the user to study these components in different physiologic and pathologic conditions.…”

Section: Introductionmentioning

confidence: 99%

Optically Guided High-Frequency Ultrasound Shows Superior Efficacy for Preoperative Estimation of Breslow Thickness in Comparison with Multispectral Imaging: A Single-Center Prospective Validation Study

Varga,

Boostani,

Farkas

et al. 2023

Cancers

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Melanoma is the most aggressive form of skin cancer that is known for its metastatic potential and has an increasing incidence worldwide. Breslow thickness, which determines the staging and surgical margin of the tumor, is unavailable at initial diagnosis. Novel imaging techniques for assessing Breslow thickness lack comparative data. This study evaluates optically guided high-frequency ultrasound (OG-HFUS) and multispectral imaging (MSI) for preoperative estimation of Breslow thickness and staging. We enrolled 101 patients with histologically confirmed primary melanoma and categorized them based on tumor thickness. Optically guided 33 MHz HFUS and MSI were utilized for the assessment. Our MSI-based algorithm categorized melanomas into three subgroups with a sensitivity of 62.6%, specificity of 81.3%, and fair agreement (κ = 0.440, CI: 0.298–0.583). In contrast, OG-HFUS demonstrated a sensitivity of 91.8%, specificity of 96.0%, and almost perfect agreement (κ = 0.858, CI: 0.763–0.952). OG-HFUS performed better than MSI in estimating Breslow thickness, emphasizing its potential as a valuable tool for melanoma diagnosis and patient management. OG-HFUS holds promise for enhancing preoperative staging and treatment decision-making in melanoma.

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A new LED-based multispectral imaging system for blood and melanin content estimation: The validation

Cited by 5 publications

References 9 publications

Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis

Quantitative Multispectral Imaging Differentiates Melanoma from Seborrheic Keratosis

Multispectral Imaging Algorithm Predicts Breslow Thickness of Melanoma

Optically Guided High-Frequency Ultrasound Shows Superior Efficacy for Preoperative Estimation of Breslow Thickness in Comparison with Multispectral Imaging: A Single-Center Prospective Validation Study

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