Pigmented Kamino bodies: a little-known histological finding. Prevalence in 19 cases of Reed nevus

Antunes, Ana Caroline Barreto; Véspoli, Aline Caixeta Guimarães; Ferreira, Paula Silva; Valente, Neusa Yuriko Sakai

doi:10.1590/abd1806-4841.20175996

Cited by 5 publications

(5 citation statements)

References 18 publications

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“…Criteria should be carefully considered and combined. These initial melanomas may be incompletely developed melanomas [ 34 ]. Woltsche et al ., in a review, reanalysed melanocytic lesions and reaffirmed that there are lesions that cannot be classified using the clinical, dermatoscopic and histopathological criteria; such lesions would be termed atypical melanocytic proliferations of uncertain significance [ 35 ].…”

Section: Discussionmentioning

confidence: 99%

Melanocytic lesions ≤ 6mm: Prospective series of 481 melanocytic trunk and limb lesions in Brazil

Campos-do-Carmo¹,

Nobre

Cuzzi

et al. 2021

PLoS ONE

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Early diagnosis when melanoma is still small and thin is essential for improving mortality and morbidity. However, the diagnosis of small size melanoma might be particularly difficult, not only clinically but also dermoscopically. This study aimed to define clinical and dermatoscopic parameters in the diagnosis of suspicious pigmented cutaneous lesions with a diameter of ≤ 6mm and determine the sensitivity, specificity, positive and negative predictive values as well as the accuracy of each clinical and dermatoscopic criterion. This is a transversal, descriptive and analytical study of dermatoscopic analysis with the gold standard being the pathologic examination obtained from the excisional biopsy of suspicious melanocytic lesions with a diameter of ≤ 6mm. Trunk and limb lesion data from a public health service and a private clinic were prospectively collected from 2011 to 2017 by a unique observer. In total, 481 melanocytic lesions were included, with 73.8% being ≤ 4mm in diameter. Overall, 123 were diagnosed as melanoma, 56.0% in situ and 22.0% as thin melanomas (Breslow index 0.1 to 1.0mm). Melanoma presented symmetry in 53.7% of cases, regular borders in 54.5% and a single color in 60.2%. Regarding evolution, 13.8% of melanomas versus 10.9% of benign lesions (p = 0.116) were new by comparing photos from baseline with photos from the follow-up. The majority of melanomas (65%) were found on the limbs compared to 37.2% of the benign lesions at this location (p<0.001). A multiple logistic regression model adjusted for age, gender and location was created. The independent variables associated with the diagnosis of melanoma ≤ 6mm, adjusted for age, gender and location, were: streaks (adjusted Odds Ratio [aOR] 2.5; 95% CI 1.3–4.7; p = 0.006), and the presence of a structureless area (aOR 2.2, 95% CI 1.2–4.0, p = 0.011). Conversely, a symmetric typical pigment network was a protection variable (aOR 0.4, 95% 0.7–0.9, p = 0.040). In conclusion, dermatoscopic criteria have been identified which help to diagnose cases of small size melanoma. These include streaks and structureless areas that can be taken, particularly in consideration for the diagnosis of this subset of small difficult melanomas.

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Section: Discussionmentioning

confidence: 99%

Melanocytic lesions ≤ 6mm: Prospective series of 481 melanocytic trunk and limb lesions in Brazil

Campos-do-Carmo¹,

Nobre

Cuzzi

et al. 2021

PLoS ONE

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“…With the dermoscopy, a corresponding diagnosis for pigmented skin diseases can be given, and a more accurate treatment method for skin diseases can be offered. It expands the scope and depth of the doctor's observation of skin lesions effectively, fills the limitations of visual observation, and provides reliable evidence for clinical diagnosis and treatment [ 10 , 11 ].…”

Section: Introductionmentioning

confidence: 99%

Dermoscopic Image Classification of Pigmented Nevus under Deep Learning and the Correlation with Pathological Features

Yang

Shu

et al. 2022

Computational and Mathematical Methods in Medicine

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The objective of this study was to explore the image classification and case characteristics of pigmented nevus (PN) diagnosed by dermoscopy under deep learning. 268 patients were included as the research objects and they were randomly divided into observation group ( n = 134 ) and control group ( n = 134 ). Image recognition algorithm was used for feature extraction, segmentation, and classification of dermoscopic images, and the image recognition and classification algorithm were studied as the performance and accuracy of fusion classifier were compared. The results showed that the classifier was optimized, and the linear kernel accuracy was 85.82%. The PN studied mainly included mixed nevus, junctional nevus, intradermal nevus, and acral nevus. The sensitivity under collaborative training was higher than that under feature training and fusion feature training, and the differences among three trainings were significant ( P < 0.05 ). The sensitivity of the observation group was 88.65%, and the specificity was 90.26%, while the sensitivity and the specificity of the control group were 85.65% and 84.03%, respectively; there were significant differences between the two groups ( P < 0.05 ). In conclusion, dermoscopy under deep learning could be applied as a diagnostic way of PN, which helped improve the accuracy of diagnosis. The dermoscopic manifestations of PN showed a certain corresponding relationship with the type of cases and could provide auxiliary diagnosis in clinical practice. It could be applied clinically.

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“…[ 33 ] Some authors also reported such bodies in malignant melanoma. [ 34 ] Lafora bodies: These are intracytoplasmic, basophilic and metachromatic, PAS-positive and diastase-resistant, concentric target-like laminated inclusions which are found in the skin (excretory sweat ducts), neurons, muscle cells, and hepatocytes in patients with Lafora body disease. [ 17 ] Leishman-Donovan (LD) bodies: In untreated patients of leishmaniasis, LD bodies appear as light blue, ellipsoid bodies, 2–4 μm long, with an eccentric nucleus and a smaller kinetosome at the opposite pole within large macrophages (Wright's cells) [ Figure 7 ].…”

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confidence: 99%

A Compendium of Specific Histopathological Bodies in Dermatology

Tiwary¹,

Shah

Madke

et al. 2021

Indian Journal of Dermatology

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The spectrum of histopathological variations of most of the Dermatological conditions is so wide and overlapping that even with our current vast knowledge of this discipline, it seems to be a tough task for clinicians as well as Dermatopathologists to arrive at a conclusive diagnosis in many cases. However, with the aid of special stains and advanced diagnostic techniques, some characteristic histopathologic features have been defined over the time, among which histopathological bodies or inclusion bodies serve as specific clues. With this perspective in view, an attempt has been made to collate and describe the well-known as well as the lesser-known histopathological bodies seen in various dermatological diseases. The underlying pathogenesis and ultramicroscopic features of these structures have also been outlined in brief.

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Pigmented Kamino bodies: a little-known histological finding. Prevalence in 19 cases of Reed nevus

Cited by 5 publications

References 18 publications

Melanocytic lesions ≤ 6mm: Prospective series of 481 melanocytic trunk and limb lesions in Brazil

Melanocytic lesions ≤ 6mm: Prospective series of 481 melanocytic trunk and limb lesions in Brazil

Dermoscopic Image Classification of Pigmented Nevus under Deep Learning and the Correlation with Pathological Features

A Compendium of Specific Histopathological Bodies in Dermatology

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