Slow-growing melanoma: a dermoscopy follow-up study

Argenziano, Giuseppe; Kittler, Harald; Ferrara, Gerardo; Rubegni, Pietro; Malvehy, Josep; Puig, Susana; Cowell, Lester; Stanganelli, Ignazio; Giorgi, Vincenzo De; Thomas, Luc; Bahadoran, Philippe; Menzies, Sw; Piccolo, Domenico; Marghoob, Ashfaq; Zalaudek, Iris

doi:10.1111/j.1365-2133.2009.09416.x

Cited by 112 publications

(122 citation statements)

References 32 publications

(37 reference statements)

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“…Rapidly growing MMs, whose characteristics and associations were described by Liu et al [24], were more often symmetrical, elevated, amelanotic, symptomatic and with regular borders. In contrast, the study by Argenziano et al [4], based on a series of MMs that were excised after prolonged follow-up, provided evidence favouring the existence of a type of slow-growing MM, dermoscopically characterized by asymmetric pigmentation and overall reticular pattern. Several intermediate types of MMs may exist varying in their tendency to grow and metastasize, possibly corresponding to different dermoscopic aspects.…”

Section: Discussionmentioning

confidence: 42%

“…In a follow-up study of 103 early MMs, including 49 MIS, Argenziano et al [4] noted that at baseline consultation the reticular pattern was the most common global dermoscopy feature observed in 62.1% of the lesions, followed by the unspecific (15.5%) and the multicomponent pattern (9.7%). An asymmetric distribution of colour and structure was noted in 68.6% of the lesions.…”

Section: Discussionmentioning

confidence: 99%

“…In a series of 103 in situ or early invasive MMs with inconspicuous features at the baseline consultation, that were excised after a follow-up of 1 year because of changes, the most frequent baseline characteristics were asymmetric pigmentation, reticular overall pattern and regression features [4]. Thin MMs, however, especially when in situ, are difficult to diagnose [5] and, although sequential dermoscopy imaging allows the detection of MMs which lack dermoscopic features at baseline [6,7], it is not always applicable and, furthermore, it is entirely based on the patient’s compliance [8].…”

Section: Introductionmentioning

confidence: 99%

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Variegated Dermoscopy of in situ Melanoma

Seidenari

Bassoli²,

Borsari³

et al. 2012

Dermatology

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Background: Melanomas in situ (MIS) are difficult to diagnose, lacking well-established dermoscopic descriptors. Objective: The aim of this study was toimprove the identification of early melanomas describing the variegated dermoscopic features of MIS and their correlation with demographic and clinical aspects. Methods: Dermoscopic images of 114 histologically proven MIS were evaluated by 3 expert dermoscopists and classified into their main dermoscopic patterns. Dermoscopic features were also considered for their correlation with clinical parameters. Results: Eight different dermoscopic subtypes of MIS were identified: reticular grey-blue (27.2%), reticular (21.1%), multicomponent (20.2%), island (10.5%), spitzoid (7%), inverse network (6.1%), ‘net-blue globules’ (5.3%) and globular (2.6%). Clinical characteristics of lesions and patients varied according to the different dermoscopic groups. Conclusion: We hypothesize that the different dermoscopic subgroups of MIS correspond to lesions with a different origin and, possibly, various patterns of growth and a different biological behaviour.

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Section: Discussionmentioning

confidence: 42%

Section: Discussionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

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Variegated Dermoscopy of in situ Melanoma

Seidenari

Bassoli²,

Borsari³

et al. 2012

Dermatology

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“…This method was evaluated on 100 dermoscopic images, and border detection error was calculated. Dermoscopic images for the initial consultation were analyzed by Argenziano et al [9] and were compared with images from the last follow-up consultation and the symmetrical/asymmetrical structural changes. Xie and Bovik [10] implemented a dermoscopic image segmentation approach by integrating the genetic algorithm (GA) and self-generating neural network (SGNN).…”

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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“…12 Argenziano et al and Salerni et al in two independent studies have found that in 58,3-65% of patients with slow growing melanoma the only dermocopic abnormality was enlargement of the lesion (more than 2 mm in 3 years -Argenziano et al). 11,13 Many experts, including Argenziano et al, suggest that in most cases only one follow-up visit should be conducted. If the dermatologist remains unsure about the nature of the lesion during the first follow-up visit, the lesion should be excised.…”

Section: Dermoscopy (And Videodermoscopy)mentioning

confidence: 99%

Modern non-invasive diagnostic techniques in the detection of early cutaneous melanoma

Kardynał¹,

Olszewska

2014

J Dermatol Case Rep

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Over the past few years melanoma has grown into a disease of socio-economic importance due to the increasing incidence and persistently high mortality rates. Melanoma is a malignant tumor with a high tendency to metastasize. Therefore, an extremely important part of the therapeutic process is to identify the disease at an early stage: in situ or stage I. Many tools for early diagnosis of melanoma are available today, including dermoscopy, videodermoscopy and in vivo reflectance confocal microscopy. Other methods such as high frequency ultrasound, optical coherence tomography and electrical impedance spectroscopy may serve as additional diagnostic aids. Modern imaging techniques also allow the monitoring of melanocytic skin lesions over months or years to detect the moment of malignant transformation. This review summarizes the current knowledge about modern diagnostic techniques, which may aid early diagnosis of

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Slow-growing melanoma: a dermoscopy follow-up study

Abstract: This study provides evidence for the existence of a subgroup of slow-growing melanomas, which may explain the increase in the incidence of thin melanoma, despite stable rates of thick melanoma and melanoma-associated mortality.

Cited by 112 publications

References 32 publications

Variegated Dermoscopy of in situ Melanoma

Variegated Dermoscopy of in situ Melanoma

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

Modern non-invasive diagnostic techniques in the detection of early cutaneous melanoma

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