Differentiation of seborrheic keratosis from basal cell carcinoma, nevi and melanoma by RGB autofluorescence imaging

Lihachev, Alexey; Lihacova, Ilze; Plorina, Emilija Vija; Lange, Marta; Derjabo, Aleksandrs; Spīgulis, Jānis

doi:10.1364/boe.9.001852

Cited by 33 publications

(26 citation statements)

References 23 publications

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“…For some patients, keratinized squamous epithelium was found to cause autofluorescence increase, as opposed to the expected signal decrease in the examined lesion. Actually, it is possible to discriminate seborrheic keratosis from BCC and nevi with sensitivity and specificity close to 100%, based on autofluorescence intensity increase in G spectral channel [23]. In our present study, skin hyperkeratosis was diagnosed for patient no.…”

Section: Discussionmentioning

confidence: 51%

“…Dermoscopic criteria for skin cancer detection in situ, such as increased vascularity, the presence of pigmentation, ulceration, inflammation and keratinization are related to the appearance of unique autofluorescence features of biological tissue . The method of autofluorescence has already been shown to improve the identification of primary BCC and SCC lesions that may not be visible to the naked eye or dermoscopy . Considering the criteria for non‐melanoma skin cancer identification, healthy skin has intense green autofluorescence whereas cancerous areas may appear darker .…”

Section: Introductionmentioning

confidence: 99%

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Autofluorescence imaging for recurrence detection in skin cancer postoperative scars

Tamošiūnas

Plorina

Lange

et al. 2020

Journal of Biophotonics

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This clinical study is a first attempt to use autofluorescence for recurrence diagnosis of skin cancer in postoperative scars. The proposed diagnostic parameter is based on a reduction in scar autofluorescence, evaluated in the green spectral channel. The validity of the method has been tested on 110 postoperative scars from 56 patients suspected of non‐melanoma skin cancer, with eight patients (13 scars) available for the repeated examination. The recurrence diagnosis within a scar has been made after two subsequent autofluorescence check‐ups, representing the temporal difference between the scar autofluorescence amplitudes as a vector. The recognition of recurrence has been discussed to represent the significant deviations from the value of vector angle θ. This new autofluorescence‐based method can be easily integrated into the postoperative monitoring of surgical scars and can help diagnose the recurrence of skin cancer from the early stage of scar development.

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Section: Discussionmentioning

confidence: 51%

Section: Introductionmentioning

confidence: 99%

Autofluorescence imaging for recurrence detection in skin cancer postoperative scars

Tamošiūnas

Plorina

Lange

et al. 2020

Journal of Biophotonics

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“…A recent study showed that sensitivity and specificity of skin lesion diagnostics by smartphone‐detected auto‐fluorescence images can be very high . There are several differences between our DRS work and the auto‐fluorescence method.…”

Section: Resultsmentioning

confidence: 94%

Physiological model using diffuse reflectance spectroscopy for nonmelanoma skin cancer diagnosis

Zhang

Moy

Feng

et al. 2019

Journal of Biophotonics

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Diffuse reflectance spectroscopy (DRS) is a noninvasive, fast, and low‐cost technology with potential to assist cancer diagnosis. The goal of this study was to test the capability of our physiological model, a computational Monte Carlo lookup table inverse model, for nonmelanoma skin cancer diagnosis. We applied this model on a clinical DRS dataset to extract scattering parameters, blood volume fraction, oxygen saturation and vessel radius. We found that the model was able to capture physiological information relevant to skin cancer. We used the extracted parameters to classify (basal cell carcinoma [BCC], squamous cell carcinoma [SCC]) vs actinic keratosis (AK) and (BCC, SCC, AK) vs normal. The area under the receiver operating characteristic curve achieved by the classifiers trained on the parameters extracted using the physiological model is comparable to that of classifiers trained on features extracted via Principal Component Analysis. Our findings suggest that DRS can reveal physiologic characteristics of skin and this physiologic model offers greater flexibility for diagnosing skin cancer than a pure statistical analysis. Physiological parameters extracted from diffuse reflectance spectra data for nonmelanoma skin cancer diagnosis.

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“…There are two types of skin tumours, non-melanoma skin cancer (NMSC) and malignant melanomas (MM). As compared to NMSC, MM has a more aggressive modality with an estimated mortality of 85% for all fatal skin cancers 1 . The most common NMSCs include basal cell carcinoma (BCC), which constitutes approximately 80% of new cases, and squamous cell carcinoma (SCC), which constitutes approximately 20% of new cases 1 .…”

Section: V1mentioning

confidence: 99%

Case Report: Synchronous adenoid cystic variant of basal cell carcinoma in the right lumbar region: case report of an incidental finding in a patient with breast carcinoma

Gandhe

Patil

2018

F1000Res

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Skin cancer has emerged as a major problem for light-skinned people globally. Basal cell carcinoma (BCC) is one of the most common forms of skin cancer. BCC is associated with significant morbidity. There are multiple histological patterns of BCC, wherein the adenoid cystic variant is a rare form. A 75-year-old female with a history of breast carcinoma visited our centre for a routine follow-up. The patient was diagnosed with invasive breast carcinoma and underwent left breast conservation surgery in August 2018. At follow-up, the patient complained of itchiness, redness, and ulceration over a long-standing mole located at the right lumbar region. The lesion was excised and histopathologically diagnosed as the adenoid cystic variant of BCC. Adenoid cystic variant of BCC is an uncommon presentation. Identifying the mole in the lumbar region with clinical signs and symptoms was an incidental finding. In most cases, skin moles are benign. However, this case is of considerable interest as the patient presented with two primary cancers of different pathological characteristics within 3 months. The patient is currently doing well and is due for follow-up.

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Differentiation of seborrheic keratosis from basal cell carcinoma, nevi and melanoma by RGB autofluorescence imaging

Cited by 33 publications

References 23 publications

Autofluorescence imaging for recurrence detection in skin cancer postoperative scars

Autofluorescence imaging for recurrence detection in skin cancer postoperative scars

Physiological model using diffuse reflectance spectroscopy for nonmelanoma skin cancer diagnosis

Case Report: Synchronous adenoid cystic variant of basal cell carcinoma in the right lumbar region: case report of an incidental finding in a patient with breast carcinoma

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