Instruments and new technologies for the in vivo diagnosis of melanoma

Marghoob, Ashfaq A.; Swindle, Lucinda D.; Moricz, Claudia Zavaloni Melotti de; Negron, Fitzgeraldo A. Sanchez; Slue, Bill; Halpern, Allan C.; Kopf, Alfred W.

doi:10.1016/s0190-9622(03)02470-8

Cited by 157 publications

(125 citation statements)

References 119 publications

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“…74 The polarized-light source is used with the hand-held video dermoscope for close-up imaging and does not require any oil immersion or contact fluids between the skin and the video head. The MoleMax software is conducive to follow-up examinations, as the transparent overlay feature performs a standardized comparison of images with previous data.…”

Section: Digital Image Capture and Analysismentioning

confidence: 99%

The Evolution of Melanoma Diagnosis: 25 Years Beyond the ABCDs

Rigel

Russak

Friedman

2010

CA: A Cancer Journal for Clinicians

336

274

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Early detection of malignant melanoma remains the key factor in lowering mortality from this cancer. Recognizing the importance of this issue 25 years ago, our group at New York University published in CA: A Cancer Journal for Clinicians the mnemonic "ABCD" to facilitate the early diagnosis of melanoma. Studies have demonstrated the usefulness of this paradigm in enhancing early melanoma diagnosis as a part of clinical examinations, mass screenings, and public education programs. Approaches to melanoma diagnosis have dynamically evolved during the ensuing quarter century. In the 1990s, dermoscopy enabled the recognition of new subsurface features to differentiate between malignant and benign pigmented lesions. During the last decade, new computer-based technologies have improved diagnostic sensitivity and specificity and may result in optimizing lesion selection for biopsy and pathology review. Despite all of the advances in melanoma diagnosis, timely recognition, detection, and rapid treatment of melanoma remain critical. Although pathologic examination remains the gold standard for diagnosis, this cancer has the potential to be diagnosed through noninvasive approaches because of its cutaneous location. From the development of the ABCDs through current attempts that use complex computer algorithms and genetic markers, a clinician's ability to detect melanoma in its earliest form has been augmented. However, a "good clinical eye" is still fundamental to selecting the lesions for evaluation among the sea of those that are prevalent. As current approaches are refined and new techniques are developed, the improved ability to diagnose this cancer will hopefully enhance reaching the goal of reducing melanoma mortality. CA Cancer J Clin 2010;60:301-316.

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Section: Digital Image Capture and Analysismentioning

confidence: 99%

The Evolution of Melanoma Diagnosis: 25 Years Beyond the ABCDs

Rigel

Russak

Friedman

2010

CA: A Cancer Journal for Clinicians

336

274

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“…It visualizes structures of the subsurface skin in the superficial dermis, the dermoepidermal junction, and the epidermis [1]. Dermoscopic images are complex and inhomogeneous, but they have a significant role in early identification of skin cancer.…”

Section: Introductionmentioning

confidence: 99%

A Novel Skin Lesion Detection Approach Using Neutrosophic Clustering and Adaptive Region Growing in Dermoscopy Images

2018

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This paper proposes novel skin lesion detection based on neutrosophic clustering and adaptive region growing algorithms applied to dermoscopic images, called NCARG. First, the dermoscopic images are mapped into a neutrosophic set domain using the shearlet transform results for the images. The images are described via three memberships: true, indeterminate, and false memberships. An indeterminate filter is then defined in the neutrosophic set for reducing the indeterminacy of the images. A neutrosophic c-means clustering algorithm is applied to segment the dermoscopic images. With the clustering results, skin lesions are identified precisely using an adaptive region growing method. To evaluate the performance of this algorithm, a public data set (ISIC 2017) is employed to train and test the proposed method. Fifty images are randomly selected for training and 500 images for testing. Several metrics are measured for quantitatively evaluating the performance of NCARG. The results establish that the proposed approach has the ability to detect a lesion with high accuracy, 95.3% average value, compared to the obtained average accuracy, 80.6%, found when employing the neutrosophic similarity score and level set (NSSLS) segmentation approach.

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“…[1][2][3][4] In recent years, dermatoscopes that use cross-polarization technology have been introduced and are increasingly used. [5][6][7] However, there are clinically relevant and notable differences between lesion appearance under polarized dermatoscopy (PD) and non-PD. 8,9 In particular, PD has allowed identification of new dermatoscopic structures not previously seen with non-PD.…”

mentioning

confidence: 99%

The significance of crystalline/chrysalis structures in the diagnosis of melanocytic and nonmelanocytic lesions

Balagula¹,

Braun²,

Rabinovitz³

et al. 2012

Journal of the American Academy of Dermatology

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BACKGROUND: Crystalline/chrysalis structures (CS) are white shiny streaks that can only be seen with polarized dermatoscopy. OBJECTIVES: We sought to estimate the prevalence and assess the clinical significance of CS in melanocytic and nonmelanocytic lesions. METHODS: This was a prospective observational study in which dermatoscopic assessment of lesions was recorded in consecutive patients examined during a 6-month period. In addition, a data set of biopsy-proven melanomas was retrospectively analyzed. RESULTS: In all, 11,225 lesions in 881 patients were prospectively examined. Retrospectively, 229 melanomas imaged with polarized dermatoscopy were analyzed. In the prospective data set, a median of 12.7 lesions (range, 1-54) were evaluated per patient. None of clinically diagnosed Clark nevi (n = 9750, 86.8%) demonstrated CS. Overall, CS were observed in 206 (1.8%) lesions, most commonly dermatofibromas and scars among nonbiopsied lesions. A total of 265 (2.4%) lesions were biopsied, including 20 melanomas and 36 nevi. Among biopsied malignant lesions, CS were most commonly observed in basal cell carcinoma (47.6%) and invasive melanomas (84.6%). Melanomas were more likely to have CS than biopsied nevi (odds ratio = 9.7, 95% confidence interval 2.7-34.1). In the retrospective data set, CS were more commonly observed among invasive melanomas (41%) compared with in situ melanomas (17%) (odds ratio = 3.4, 95% confidence interval 1.9-6.3, P < .001). The prevalence of CS correlated with increased melanoma thickness (P = .001). LIMITATIONS: Biopsied lesions represent a small percentage of the total number of lesions evaluated. CONCLUSION: Among biopsied malignant lesions, CS are most commonly observed in basal cell carcinoma and invasive melanomas and rarely seen in nevi. In melanoma, CS may reflect increased tumor thickness and progression. (2) Background: Crystalline/chrysalis structures (CS) are white shiny streaks that can only be seen with polarized dermatoscopy.

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Instruments and new technologies for the in vivo diagnosis of melanoma

Cited by 157 publications

References 119 publications

The Evolution of Melanoma Diagnosis: 25 Years Beyond the ABCDs

The Evolution of Melanoma Diagnosis: 25 Years Beyond the ABCDs

A Novel Skin Lesion Detection Approach Using Neutrosophic Clustering and Adaptive Region Growing in Dermoscopy Images

The significance of crystalline/chrysalis structures in the diagnosis of melanocytic and nonmelanocytic lesions

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