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1.
Dermatol Pract Concept ; 12(4): e2022195, 2022 Nov.
Artigo em Inglês | MEDLINE | ID: mdl-36534556

RESUMO

Introduction: Among the various widely recognized basal cell carcinoma (BCC) clinical patterns, linear basal cell carcinoma (LBCC) is an uncommon morphologic variant of BCC. Objectives: Describe the clinical and dermoscopic characteristics of LBCC. Methods: Retrospective study including LBCC cases from 5 dermatology centers in North and South America. Biopsy-proven primary BCCs, that presented with at least 3:1 length:width ratio on physical examination, irrespective of tumor subtype or location, were included. Clinical and dermoscopic analysis were performed by 2 experts in dermoscopy. Results: Eighteen cases of LBCC met our inclusion criteria and were included in the study. Median age at diagnosis was 86.0 years, 10 patients (58.8%) were males. Regarding anatomic location, 11/18 (61.1%) were located on the head and neck, 5/18 (27.7%) cases were found on the trunk, and 2 on lower extremities (11.1%). Under dermoscopy, 15/18 (83.3%) of LBCC were pigmented. All tumors displayed at least one of the BCC-specific dermoscopic criteria the most common being blue-grey globules (72.2%). Conclusions: Dermoscopy might be useful in the differentiation of LBCC from other diagnoses presenting as linear lesions such as scars, scratches/erosions, and tattoos, among others. Some of these lesions might be confused by naked eye examination alone.

2.
Australas J Dermatol ; 62(3): 386-389, 2021 Aug.
Artigo em Inglês | MEDLINE | ID: mdl-33974277

RESUMO

Bilateral diffuse uveal melanocytic proliferation (B-DUMP) is a rare paraneoplastic syndrome typically presenting with bilateral visual loss. B-DUMP is associated with extraocular systemic malignancies with the most common being lung cancer in males and uro-gynaecological cancer in females (mainly ovarian cancer). Cutaneous and/or mucosal involvement in patients with B-DUMP has been reported but it is not well characterised. Herein, we present a female in her 70s with diagnosis of stage IV vaginal clear-cell carcinoma and metastatic melanoma of unknown primary that developed progressive bilateral loss of visual acuity compatible with 'B-DUMP'. Simultaneously, she developed multifocal bilateral bluish-greyish patches on the skin that were shown to have a proliferation of dermal melanocytes. We propose that the clinical and histopathologic cutaneous findings seen in patients with B-DUMP be termed 'diffuse integumentary melanocytic proliferation (DIMP)'.


Assuntos
Adenocarcinoma de Células Claras/patologia , Síndromes Paraneoplásicas Oculares/patologia , Úvea/patologia , Neoplasias Vaginais/patologia , Adenocarcinoma de Células Claras/complicações , Idoso , Feminino , Humanos , Síndromes Paraneoplásicas Oculares/complicações , Neoplasias Vaginais/complicações
3.
Arch Dermatol Res ; 313(3): 193-200, 2021 Apr.
Artigo em Inglês | MEDLINE | ID: mdl-32020324

RESUMO

INTRODUCTION: Recently, a combined reflectance confocal microscopy (RCM)-optical coherence tomography (OCT) has been tested for the diagnosis of basal cell carcinoma (BCC). Evaluating the role of RCM-OCT in management of complex BCCs has not been studied. The objective of the study was to investigate the utility of a new combined RCM-OCT device in the evaluation and management of complex BCCs in a descriptive study. METHODS: Prospective study of consecutive cases (July 2018-June 2019) of biopsy-proven 'complex' BCC defined as BCC in the head-and-neck area with multiple high-risk criteria such as large size in the mask area, multiple recurrences, and high-risk subtype. All cases were evaluated with a combined RCM-OCT device that provided simultaneous image viewing on a screen. Lesions were evaluated bedside with RCM-OCT according to previously described criteria. RESULTS: Ten patients with complex head-and-neck BCCs had mean age of 73.1 ± 13.0 years. Six (60%) patients were males. Mean BCC clinical size was 1.9 ± 1.2 cm (range 0.6-4.0 cm). RCM detected residual BCC in 8 out of 10 cases (80%) and OCT detected residual BCC in all 10 cases (100%). Six BCCs (60%) had a depth estimate of > 1000 µm under OCT. In five cases, (50%) RCM-OCT imaging results led to a change/modification in BCC management. CONCLUSION: The use of a combined RCM-OCT device may help in the evaluation of complex head-and-neck BCCs by guiding treatment selection and defining the extent of surgery.


Assuntos
Carcinoma Basocelular/diagnóstico , Neoplasias de Cabeça e Pescoço/diagnóstico , Imagem Multimodal/métodos , Neoplasias Complexas Mistas/diagnóstico , Neoplasias Cutâneas/diagnóstico , Tomografia de Coerência Óptica/métodos , Idoso , Idoso de 80 Anos ou mais , Biópsia , Carcinoma Basocelular/patologia , Carcinoma Basocelular/cirurgia , Tomada de Decisão Clínica , Feminino , Neoplasias de Cabeça e Pescoço/patologia , Neoplasias de Cabeça e Pescoço/cirurgia , Humanos , Masculino , Microscopia Confocal/métodos , Pessoa de Meia-Idade , Neoplasias Complexas Mistas/patologia , Neoplasias Complexas Mistas/cirurgia , Estudos Prospectivos , Pele/diagnóstico por imagem , Pele/patologia , Neoplasias Cutâneas/patologia , Neoplasias Cutâneas/cirurgia
6.
JAMA Dermatol ; 156(8): 882-890, 2020 08 01.
Artigo em Inglês | MEDLINE | ID: mdl-32459294

RESUMO

Importance: Basal cell carcinoma (BCC) is the most common skin cancer. Dermoscopic imaging has improved diagnostic accuracy; however, diagnosis of nonpigmented BCC remains limited to arborizing vessels, ulceration, and shiny white structures. Objective: To assess multiple aggregated yellow-white (MAY) globules as a diagnostic feature for BCC. Design, Setting, and Participants: In this retrospective, single-center, case-control study, nonpigmented skin tumors, determined clinically, were identified from a database of lesions consecutively biopsied during a 7-year period (January 1, 2009, to December 31, 2015). A subset of tumors was prospectively diagnosed, and reflectance confocal microscopy, optical coherence tomography, and histopathologic correlation were performed. Data analysis was conducted from July 1 to September 31, 2019. Exposures: Investigators evaluated for the presence or absence of known dermoscopic criteria. MAY globules were defined as aggregated, white-yellow structures visualized in polarized and nonpolarized light. Main Outcomes and Measures: The primary outcome was the diagnostic accuracy of MAY globules for the diagnosis of BCC. Secondary objectives included the association with BCC location and subtype. Interrater agreement was estimated. Results: A total of 656 nonpigmented lesions from 643 patients (mean [SD] age, 63.1 [14.9] years; 381 [58.1%] male) were included. In all, 194 lesions (29.6%) were located on the head and neck. A total of 291 (44.4%) were BCCs. MAY globules were seen in 61 of 291 BCC cases (21.0%) and in 3 of 365 other diagnoses (0.8%) (P < .001). The odds ratio for diagnosis of BCC was 32.0 (96% CI, 9.9-103.2). The presence of MAY globules was associated with a diagnosis of histologic high-risk BCC (odds ratio, 6.5; 95% CI, 3.1-14.3). The structure was never seen in cases of superficial BCCs. Conclusions and Relevance: The findings suggest that MAY globules may have utility as a new BCC dermoscopic criterion with a high specificity. MAY globules were negatively associated with superficial BCC and positively associated with deeper-seated, histologic, higher-grade tumor subtypes.


Assuntos
Carcinoma Basocelular/diagnóstico por imagem , Dermoscopia , Neoplasias de Cabeça e Pescoço/diagnóstico por imagem , Neoplasias Cutâneas/diagnóstico por imagem , Idoso , Carcinoma Basocelular/patologia , Estudos de Casos e Controles , Extremidades , Feminino , Neoplasias de Cabeça e Pescoço/patologia , Humanos , Masculino , Microscopia Confocal , Pessoa de Meia-Idade , Variações Dependentes do Observador , Estudos Retrospectivos , Neoplasias Cutâneas/patologia , Tomografia de Coerência Óptica , Tronco
7.
J Am Acad Dermatol ; 82(3): 622-627, 2020 Mar.
Artigo em Inglês | MEDLINE | ID: mdl-31306724

RESUMO

BACKGROUND: Computer vision has promise in image-based cutaneous melanoma diagnosis but clinical utility is uncertain. OBJECTIVE: To determine if computer algorithms from an international melanoma detection challenge can improve dermatologists' accuracy in diagnosing melanoma. METHODS: In this cross-sectional study, we used 150 dermoscopy images (50 melanomas, 50 nevi, 50 seborrheic keratoses) from the test dataset of a melanoma detection challenge, along with algorithm results from 23 teams. Eight dermatologists and 9 dermatology residents classified dermoscopic lesion images in an online reader study and provided their confidence level. RESULTS: The top-ranked computer algorithm had an area under the receiver operating characteristic curve of 0.87, which was higher than that of the dermatologists (0.74) and residents (0.66) (P < .001 for all comparisons). At the dermatologists' overall sensitivity in classification of 76.0%, the algorithm had a superior specificity (85.0% vs. 72.6%, P = .001). Imputation of computer algorithm classifications into dermatologist evaluations with low confidence ratings (26.6% of evaluations) increased dermatologist sensitivity from 76.0% to 80.8% and specificity from 72.6% to 72.8%. LIMITATIONS: Artificial study setting lacking the full spectrum of skin lesions as well as clinical metadata. CONCLUSION: Accumulating evidence suggests that deep neural networks can classify skin images of melanoma and its benign mimickers with high accuracy and potentially improve human performance.


Assuntos
Aprendizado Profundo , Dermoscopia/métodos , Interpretação de Imagem Assistida por Computador/métodos , Melanoma/diagnóstico , Neoplasias Cutâneas/diagnóstico , Colômbia , Estudos Transversais , Dermatologistas/estatística & dados numéricos , Dermoscopia/estatística & dados numéricos , Diagnóstico Diferencial , Humanos , Cooperação Internacional , Internato e Residência/estatística & dados numéricos , Israel , Ceratose Seborreica/diagnóstico , Melanoma/patologia , Nevo/diagnóstico , Curva ROC , Pele/diagnóstico por imagem , Pele/patologia , Neoplasias Cutâneas/patologia , Espanha , Estados Unidos
8.
J Am Acad Dermatol ; 81(4): 984-988, 2019 Oct.
Artigo em Inglês | MEDLINE | ID: mdl-31202871

RESUMO

BACKGROUND: Basal cell carcinoma (BCC) treatment modalities can be stratified by tumor subtype and recurrence risk. The main limitation of nonsurgical treatment modalities is the lack of histopathologic confirmation. Reflectance confocal microscopy (RCM) is a noninvasive imaging device that provides quasihistologic images. OBJECTIVE: To evaluate the feasibility and efficacy of RCM-guided carbon dioxide (CO2) laser ablation of low-risk BCCs. METHODS: Prospective study with biopsy specimen-proven low-risk BCCs imaged with RCM. RCM was performed on these sites before and after ablation. If residual tumor was found, a new series of laser passes were performed. The patients were then monitored for recurrence clinically and with RCM. RESULTS: Twenty-two tumor sites in 9 patients (5 men, 4 women) were imaged and treated. Median age was 59 ± 12.9 years (range, 30-74 years). Mean tumor size was 7.7 mm (range, 5-10 mm). Residual tumor was identified in 5 of 22 cases (22.7%) under RCM on immediate first-pass postablation sites, prompting additional laser passes. Median follow-up was 28.5 months (range, 22-32 months) with no recurrences found. CONCLUSIONS: Addition of RCM to laser ablation workflow can detect subclinical persistent tumor after initial ablation and may serve as an aid to increase the efficacy of laser ablation.


Assuntos
Carcinoma Basocelular/cirurgia , Terapia a Laser/métodos , Lasers de Gás/uso terapêutico , Recidiva Local de Neoplasia/diagnóstico por imagem , Neoplasias Cutâneas/cirurgia , Adulto , Idoso , Biópsia , Carcinoma Basocelular/diagnóstico por imagem , Carcinoma Basocelular/patologia , Estudos de Viabilidade , Feminino , Seguimentos , Humanos , Terapia a Laser/instrumentação , Masculino , Microscopia Confocal , Pessoa de Meia-Idade , Recidiva Local de Neoplasia/patologia , Recidiva Local de Neoplasia/prevenção & controle , Neoplasia Residual , Estudos Prospectivos , Medição de Risco , Pele/diagnóstico por imagem , Pele/patologia , Pele/efeitos da radiação , Neoplasias Cutâneas/diagnóstico por imagem , Neoplasias Cutâneas/patologia , Resultado do Tratamento
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