scholarly journals What should a cosmetologist know about dermatological lesions on the face?

2018 ◽  
Vol 12 (3) ◽  
pp. 47-52
Author(s):  
Klaudia Rubas ◽  
Joanna Maj
Keyword(s):  
Squamous Cell Carcinoma ◽  
Malignant Melanoma ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Basal Cell ◽  
Actinic Keratosis ◽  
Skin Lesions ◽  
The Face ◽  
Seborrheic Keratoses

In everyday practice, cosmetologists often observe abnormalities on the facial skin of his or her clients. Facial lesions have a diverse clinical picture, although most are benign. However, some lesions may be malignant and demand fast diagnosis and treatment. Among benign lesions are xanthomas, epidermal cysts, milia and seborrheic keratoses. Xanthomas are usually localized on the eyelids and often coexist with dyslipidemia. They appear clinically as yellowish papules that vary in size. Epidermal cysts are the most common type of skin cyst. They typically occur on the head and neck, and usually affect young adults in their 20s. Milia are common skin lesions that are typically numerous in presence and appear as small-sized sebaceous papules. Seborrheic keratoses are another important type of lesion that are localized on the face and may be disturbing for clients. These are benign tumors that usually appear in individuals over 50 years of age and have an incidence that rises with age. Typically, they are brown in color but they can also be other colors including black, yellow, grey or bluish. Other skin changes include basal cell carcinoma, actinic keratosis, squamous cell carcinoma and lentiginous malignant melanoma. Basal cell carcinoma is a slow-growing, locally malignant epithelial cancer of the skin. This cancer presents mainly in areas exposed to ultraviolet (UV) radiation. Actinic keratosis is a pre-cancerous lesion that is associated with UV radiation. It predisposes to squamous cell carcinoma and other skin cancers rarely. In contrast to basal cell carcinoma, squamous cell carcinoma may cause metastases with high mortality. Melanoma on the head and face usually takes the form of a lentiginous malignant melanoma. This manifests clinically as a brown spot that slowly grows centrifugally. Melanomas vary in size and color. Dermoscopy is an important tool that may help during diagnosis of facial lesions. Given the severe consequences of some skin lesions, it is very important for cosmetologists to have knowledge of the conditions described above. This is because he or she is often the first person who can persuade the client to undergo further diagnosis.

scholarly journals Optical Coherence Tomography of Peri-Ocular Skin Cancers: An Optical Biopsy

2020 ◽  
pp. 1-9
Author(s):  
Sabrina Bergeron ◽  
Bryan Arthurs ◽  
Debra-Meghan Sanft ◽  
Christina Mastromonaco ◽  
Miguel N. Burnier Jr.
Keyword(s):  
Squamous Cell Carcinoma ◽  
Optical Coherence Tomography ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Basal Cell ◽  
Skin Lesions ◽  
Sebaceous Carcinoma ◽  
Optical Coherence ◽  
Oct Imaging

<b><i>Introduction:</i></b> Optical coherence tomography (OCT) imaging has been used as a diagnostic tool for retinal disease for several years, and OCT apparatuses are becoming increasingly powerful. However, OCT has yet to reach its full potential in ophthalmology clinics. Alike retinal layers, it has been shown that OCT is able to generate cross-sectional images of the skin and allows visualization of skin lesions in a histopathology-like manner. <b><i>Objective:</i></b> We aim to validate OCT as an imaging modality for peri-ocular skin cancer. Through a series of cases, we highlight findings for 3 common eyelid malignancies: basal cell carcinoma, squamous cell carcinoma and sebaceous carcinoma. We propose an OCT image-based signature for basal cell carcinoma. <b><i>Methods:</i></b> This is a prospective study. Fifty-eight lesions suspicious of malignancy from 57 patients were subjected to OCT imaging prior to the surgical excision of the lesion. OCT images were analysed and scored according to previously identified OCT features. Eight representative examples are presented, highlighting the OCT patterns for each malignancy side by side to its corresponding histopathological sections. <b><i>Results:</i></b> Out of the 58 lesions analysed, 53 were malignant. A loss of the dermal-epidermal junction is observed in all malignant lesions. A strong link is observed between the presence of subepithelial hyporeflective nests on OCT and the diagnosis of basal cell carcinoma (present in 83% of cases). Conversely, lesions of epithelial origin such as squamous cell carcinoma are most often represented on OCT by acanthosis. Two supplementary cases, one basal cell carcinoma and one sebaceous carcinoma, are provided to illustrate how OCT imaging is a valuable tool in cases where clinical observations may be unusual. <b><i>Conclusions:</i></b> We provide evidence supporting the use of OCT for the evaluation of peri-ocular cancers. OCT enables visualization of the skin layers in vivo, before biopsy. Our results show that certain OCT features can contribute to include or exclude a diagnosis of basal cell carcinoma. By integrating this non-invasive imaging methodology into the routine assessment of peri-ocular skin lesions, especially in health care centres where access to specialists is limited, OCT imaging can increase clinical precision, reduce delays in patient referral and enhance patient care.

scholarly journals The Safety and Effectiveness of Elastic Scattering Spectroscopy and Machine Learning in the Evaluation of Skin Lesions for Cancer

Iproceedings ◽  
10.2196/35441 ◽  
2021 ◽  
Vol 6 (1) ◽  
pp. e35441
Author(s):  
Cristiane Benvenuto-Andrade ◽  
A Cognetta ◽  
D Manolakos
Keyword(s):  
Squamous Cell Carcinoma ◽  
Elastic Scattering ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Basal Cell ◽  
Predictive Value ◽  
Prevalence Rate ◽  
Skin Lesions ◽  
Elastic Scattering Spectroscopy

Background Elastic scattering spectroscopy (ESS) is an optical biopsy technique that can distinguish between a normal and abnormal tissue in vivo without the need to remove it. The handheld device measures ESS spectra of skin lesions and classifies lesions as either malignant or benign with an output of “Investigate Further” or “Monitor,” respectively, with positive results accompanied by a spectral score output from 1 to 10, indicating how similar the lesion is to the malignant lesions the device was trained on. The algorithm was trained and validated with over 11,000 spectral scans from over 3500 skin lesions. Objective The purpose of this study was to evaluate the safety and effectiveness of the handheld ESS device in detecting the most common types of skin cancer. Methods A prospective, single-arm, investigator-blinded, multicenter study conducted at 4 investigational sites in the United States was performed. Patients who presented with skin lesions suggestive of melanoma, basal cell carcinoma, squamous cell carcinoma, and other highly atypical lesions were evaluated with the handheld ESS device. A validation performance analysis was performed with 553 lesions from 350 subjects with algorithm version 2.0. An independent test set of 281 lesions was selected and used to evaluate device performance in the detection of melanoma, basal cell carcinoma (BCC), and squamous cell carcinoma (SCC). Statistical analyses included overall effectiveness analyses for sensitivity and specificity as well as subgroup analyses for lesion diagnoses. Results The overall sensitivity of the device was 92.3% (95% CI: 87.1 to 95.5%). The sensitivity for subgroups of lesions was 95% (95% CI 75.1% to 99.9%) for melanomas, 94.4% (95% CI 86.3% to 98.4%) for BCCs, and 92.5% (95% CI 83.4% to 97.5%) for SCCs. The overall device specificity was 36.6% (95% CI 29.3% to 44.6%). There was no statistically significant difference between the dermatologist performance and the ESS device (P=.2520). The specificity of the device was highest for benign melanocytic nevi (62.5%) and seborrheic keratoses (78.2%). The overall positive predictive value (PPV) was 59.8%, and the negative predictive value (NPV) was 81.9% with the study’s malignancy prevalence rate of 51%. For a prevalence rate of 5%, the PPV was estimated to be 7.1%, and the NPV was estimated to be 98.9%. For a prevalence rate of 7%, the PPV was estimated to be 9.8%, and the NPV was estimated to be 98.4%. For a prevalence rate of 15%, the PPV was estimated to be 20.3%, and the NPV was 96.4%. Conclusions The handheld ESS device has a high sensitivity for the detection of melanoma, BCC, and SCC. Coupled with clinical exam findings, this device can aid physicians in detecting a variety of skin malignancies. The device output can aid teledermatology evaluations by helping frontline providers determine which lesions to share for teledermatologist evaluation as well as potentially benefitting teledermatologists’ virtual evaluation, especially in instances of suboptimal photo quality. Acknowledgments This study was sponsored by Dermasensor Inc. Conflicts of Interest None declared.

Lamin expression in normal human skin, actinic keratosis, squamous cell carcinoma and basal cell carcinoma

2003 ◽  
Vol 148 (1) ◽  
pp. 102-109 ◽  
Author(s):  
C.M.L.J. Tilli ◽  
F.C.S. Ramaekers ◽  
J.L.V. Broers ◽  
C.J. Hutchison ◽  
H.A.M. Neumann
Keyword(s):  
Squamous Cell Carcinoma ◽  
Basal Cell Carcinoma ◽  
Cell Carcinoma ◽  
Human Skin ◽  
Squamous Cell ◽  
Basal Cell ◽  
Actinic Keratosis ◽  
Normal Human Skin ◽  
Normal Human

Protein Expression of MMP-2 and MT1-MMP in Actinic Keratosis, Squamous Cell Carcinoma of the Skin, and Basal Cell Carcinoma

2014 ◽  
Vol 23 (1) ◽  
pp. 20-25 ◽  
Author(s):  
Fabiano de Oliveira Poswar ◽  
Carlos Alberto de Carvalho Fraga ◽  
Emisael Stênio Batista Gomes ◽  
Lucyana Conceição Farias ◽  
Linton Wallis Figueiredo Souza ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Basal Cell Carcinoma ◽  
Protein Expression ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Basal Cell ◽  
Actinic Keratosis

Relation Between Smoking and Skin Cancer

2001 ◽  
Vol 19 (1) ◽  
pp. 231-238 ◽  
Author(s):  
Sofie A.E. De Hertog ◽  
Christianne A.H. Wensveen ◽  
Maarten T. Bastiaens ◽  
Christine J. Kielich ◽  
Marjo J.P. Berkhout ◽  
...  
Keyword(s):  
Squamous Cell Carcinoma ◽  
Risk Factor ◽  
Relative Risk ◽  
Skin Cancer ◽  
Malignant Melanoma ◽  
Basal Cell Carcinoma ◽  
Confidence Interval ◽  
Cell Carcinoma ◽  
Squamous Cell ◽  
Basal Cell

PURPOSE: Tobacco smoking is a risk factor for several cancers. The risk of cutaneous malignancies related to smoking, however, is relatively unknown. We investigated the possible association between smoking and skin cancer. PATIENTS AND METHODS: A hospital-based case-control study was performed that included 161 patients with squamous cell carcinoma, 301 with nodular basal cell carcinoma, 153 with superficial multifocal basal cell carcinoma, 125 with malignant melanoma, and 386 controls. Information on smoking history was collected in personal interviews. Relative risks were estimated using exposure odds ratios from cross-tabulation and logistic regression. RESULTS: An association between smoking and squamous cell carcinoma of the skin was found (relative risk, 2.3; 95% confidence interval, 1.5 to 3.6; P = .0001), with a higher risk for current smokers (relative risk, 3.3; 95% confidence interval, 1.9 to 5.5) than for former smokers (relative risk, 1.9; 95% confidence interval, 1.2 to 3.0). After adjustment for age, sex, and sun exposure, the relative risk of squamous cell carcinoma was 2.0 (95% confidence interval, 1.2 to 3.2; P = .008). There was a dose-response relationship with number of cigarettes and pipes smoked. No significant association was found between smoking and nodular basal cell carcinoma, superficial multifocal basal cell carcinoma, or malignant melanoma. CONCLUSION: Tobacco smoking is an independent risk factor for cutaneous squamous cell carcinoma.

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