Lentigines, nevi, and melanomas

Weedon, David

doi:10.1016/b978-0-7020-3485-5.00033-4

Cited by 34 publications

(33 citation statements)

References 2,475 publications

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“…The thickness at the time of detection of tumors in hard to detect areas is generally larger that those in easy to see areas. it is therefore said that tumors localized in the extremities have better survival rates than those localized in the head-neck or body (6). The presence of CoE more commonly in tumors with a head-neck localization in this study can also indicate the possible use of CoE as an unfavorable prognostic indicator.…”

Section: Discussionmentioning

confidence: 58%

Lsil/asc-h (lsil-h) in cervicovaginal smear: histopathological outcomes and clinical significance

Kaygusuz

Çetiner²,

Şahin³

2011

TJPATH

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Objective: The aim of the study was to investigate the importance of consumption of the epidermis as an additional diagnostic criteria for malignant melanoma and to evaluate its relationship to clinicopathological findings. Material and Method:The age, gender, localization of the lesion and the histopathological parameters such as tumor type, Breslow thickness, ulceration, Clark's level, mitosis/mm 2 , lymphocytic infiltration were noted in 40 malignant melanoma cases. Consumption of the epidermis was evaluated in tumor sections. Consumption of the epidermis (CoE) due to thinning of the epidermis and loss of rete ridges was noted as (+) or (-). Furthermore, CoE was compared with clinical and histopathological parameters. The Shapiro Wilk and Logistic regression tests were used for statistical analysis. The results were accepted as significant if the p value was <0.05. Results:CoE was detected in 60% (24/40) of malignant melanoma cases. a positive correlation was present between CoE and head and neck localization (p=0,698), superficial spreading melanoma (p=0,341), ulceration (p=0,097) and brisk lymphocytic infiltration (p=0,200) but the results were not statistically significant. CoE was frequently detected in males but the difference was not statistically significant (p=0.796). There was no correlation or significant statistical association between CoE and age, Breslow thickness, Clark's level or the mitotic index. Conclusion:The detection of CoE in most of the patients suggests that CoE could be a histopathological criterion in the diagnosis of malignant melanoma. The frequent association between CoE and the presence of ulceration could also direct attention to CoE as regards prognostic importance. Bulgular: Epidermal yapısal değişiklikler malign melanom olgularının %60'ında (24/40) mevcuttu. Epidermal yapısal değişiklikler ile baş-boyun yerleşimi (p=0,698), yüzeyel yayılan tümör tipi (p=0,341), ülserasyon varlığı (p=0,097) ve şiddetli lenfositik infiltrasyon (p=0,200) arasında pozitif korelasyon vardı. ancak istatistiksel olarak anlamlı değildi. Epidermal yapısal değişiklikler erkeklerde kadınlara göre daha sık olarak izlendi, ancak aradaki fark istatistiksel olarak anlamlı bulunmadı (p=0,796). Epidermal yapısal değişiklikler ile yaş, Breslow kalınlığı, Clark düzeyi ve mitoz sayısı arasında herhangi bir korelasyon veya anlamlı istatistiksel birliktelik saptanmadı.Sonuç: Epidermal yapısal değişikliklerin olguların çoğunda saptanmış olması, malign melanom tanısında epidermal yapısal değişikliklerin bir histopatolojik kriter olabileceğini düşündürmektedir. ayrıca epidermal yapısal değişikliklerin, ülserasyon varlığı ile olan sık birlikteliği, kötü prognostik gösterge olabilirliği açısından dikkat çekicidir.

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Section: Discussionmentioning

confidence: 58%

Lsil/asc-h (lsil-h) in cervicovaginal smear: histopathological outcomes and clinical significance

Kaygusuz

Çetiner²,

Şahin³

2011

TJPATH

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“…Although some morphologically similar lesions lack S100 expression (such as cellular neurothekeoma), 25 S100 is expressed in a subset of sarcomas and may be expressed in carcinomas, especially those from the breast and salivary gland. 23,26 Melan-A (MART1) and HMB-45 are expressed in most melanomas, although expression is often lost in spindled/desmoplastic melanoma. 26 Positive staining for Melan-A or HMB-45 reasonably excludes carcinomas and most sarcomas.…”

Section: Carcinomas With Clear Cellsmentioning

confidence: 99%

“…23,26 Melan-A (MART1) and HMB-45 are expressed in most melanomas, although expression is often lost in spindled/desmoplastic melanoma. 26 Positive staining for Melan-A or HMB-45 reasonably excludes carcinomas and most sarcomas. 23 MiTF is less specific, with expression in nonmelanocytic lesions, including histiocytic lesions and cellular neurothekeoma.…”

Section: Carcinomas With Clear Cellsmentioning

confidence: 99%

Clear Cell Melanoma: A Cutaneous Clear Cell Malignancy

Pletneva

Andea

Palanisamy

et al. 2014

Archives of Pathology &Amp; Laboratory Medicine

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Clear cell melanoma is a rare clear cell malignancy. Accurate diagnosis of clear cell melanoma requires integration of immunohistochemical and morphologic findings, with molecular studies to rule out clear cell sarcoma. The differential diagnosis includes melanoma, carcinoma, perivascular epithelioid cell tumor, and epidermotropic clear cell sarcoma. We use a case of a lesion on the helix of an 86-year-old man as an example. Histologic examination revealed an ulcerated clear cell malignant tumor. Tumor cell cytoplasm contained periodic acid-Schiff-positive, diastase-sensitive glycogen. Tumor cells showed positive labeling for S100, HMB-45, and Melan-A, and negative labeling for cytokeratins, p63, and smooth muscle actin. Molecular studies demonstrated BRAF V600E mutation, copy gains at the 6p25 (RREB1) and 11q13 (CCND1) loci, and absence of EWSR1-ATF1 fusion. These findings supported a diagnosis of clear cell melanoma. The rare pure clear cell morphology occurs due to accumulation of intracytoplasmic glycogen. We review the differential diagnosis of clear cell melanoma and describe the utility of immunohistochemical and molecular studies in confirming this diagnosis.

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“…En-face slices (parallel to the surface) are captured sequentially for increasing depths in skin and recorded as a z-stack of images (as illustrated in Figure 1). Skin biologists and clinicians are interested in the location of the dermal-epidermal junction (DEJ) in these z-stacks because disorder and disease, including cancer usually start at this boundary [8]. …”

Section: Introductionmentioning

confidence: 99%

A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin

Ghanta

Jordan

Kose

et al. 2017

IEEE Trans. on Image Process.

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Segmenting objects of interest from 3D datasets is a common problem encountered in biological data. Small field of view and intrinsic biological variability combined with optically subtle changes of intensity, resolution and low contrast in images make the task of segmentation difficult, especially for microscopy of unstained living or freshly excised thick tissues. Incorporating shape information in addition to the appearance of the object of interest can often help improve segmentation performance. However, shapes of objects in tissue can be highly variable and design of a flexible shape model that encompasses these variations is challenging. To address such complex segmentation problems, we propose a unified probabilistic framework that can incorporate the uncertainty associated with complex shapes, variable appearance and unknown locations. The driving application which inspired the development of this framework is a biologically important segmentation problem: the task of automatically detecting and segmenting the dermal-epidermal junction (DEJ) in 3D reflectance confocal microscopy (RCM) images of human skin. RCM imaging allows noninvasive observation of cellular, nuclear and morphological detail. The DEJ is an important morphological feature as it is where disorder, disease and cancer usually start. Detecting the DEJ is challenging because it is a 2D surface in a 3D volume which has strong but highly variable number of irregularly spaced and variably shaped “peaks and valleys”. In addition, RCM imaging resolution, contrast and intensity vary with depth. Thus a prior model needs to incorporate the intrinsic structure while allowing variability in essentially all its parameters. We propose a model which can incorporate objects of interest with complex shapes and variable appearance in an unsupervised setting by utilizing domain knowledge to build appropriate priors of the model. Our novel strategy to model this structure combines a spatial Poisson process with shape priors and performs inference using Gibbs sampling. Experimental results show that the proposed unsupervised model is able to automatically detect the DEJ with physiologically relevant accuracy in the range 10 – 20µm.

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Lentigines, nevi, and melanomas

Cited by 34 publications

References 2,475 publications

Lsil/asc-h (lsil-h) in cervicovaginal smear: histopathological outcomes and clinical significance

Lsil/asc-h (lsil-h) in cervicovaginal smear: histopathological outcomes and clinical significance

Clear Cell Melanoma: A Cutaneous Clear Cell Malignancy

A Marked Poisson Process Driven Latent Shape Model for 3D Segmentation of Reflectance Confocal Microscopy Image Stacks of Human Skin

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