Lentiginous melanoma: a distinctive clinicopathological entity.

Histopathology (Impact Factor: 2.86). 04/2008; 52(4):523-5. DOI:10.1111/j.1365-2559.2008.02943.x
Source: PubMed
0 0
  • [show abstract] [hide abstract]
    ABSTRACT: As the population continues to age, clinicians and dermatologists are increasingly faced with geriatric patients presenting with a range of dermatologic manifestations, including benign and malignant skin tumors. Knowledge of epidemiologic and morphologic features, including dermoscopy of common and benign melanocytic and nonmelanocytic skin tumors, provides the basis for a better understanding and management of problematic skin tumors in this age group. This article provides an overview of common and problematic skin lesions in elderly patients and addresses epidemiologic, clinical, and dermoscopic clues that aid the differential diagnosis and management of challenging skin lesions.
    Dermatologic clinics 10/2013; 31(4):549-64. · 1.29 Impact Factor
  • [show abstract] [hide abstract]
    ABSTRACT: The increasing use of dermoscopy in preoperative diagnosis of melanocytic skin neoplasms is impacting on routine histopathology to a relevant extent. We herein present the dermoscopic-pathologic features of 6 cases of histopathologically controversial melanocytic skin neoplasms. By illustrating these cases, we emphasize at least 3 different fields of interest for a combined (clinico-)dermoscopic-pathologic diagnostic approach, namely, information about the evolution of lesions; detection of gross sampling errors; definition of peculiar clinicopathologic entities. The theoretic and practical aspects of a close interaction among dermoscopists and histopathologists are itemized in detail.
    Seminars in cutaneous medicine and surgery 09/2009; 28(3):157-64. · 1.81 Impact Factor
  • Source
    [show abstract] [hide abstract]
    ABSTRACT: Limited studies have reported the in vivo reflectance confocal microscopy (RCM) features of lentigo maligna (LM). A total of 64 RCM features were scored retrospectively and blinded to diagnosis in a consecutive series of RCM sampled, clinically equivocal, macules of the face (n=81 LM, n=203 benign macules (BMs)). In addition to describing RCM diagnostic features for LM (univariate), an algorithm was developed (LM score) to distinguish LM from BM. This comprised two major features each scoring +2 points (nonedged papillae and round large pagetoid cells > 20 microm), and four minor features; three scored +1 point each (three or more atypical cells at the dermoepidermal junction in five 0.5 x 0.5 mm(2) fields, follicular localization of atypical cells, and nucleated cells within the dermal papillae), and one (negative) feature scored -1 point (a broadened honeycomb pattern). A LM score of > or = 2 resulted in a sensitivity of 85% and specificity of 76% for the diagnosis of LM (odds ratio (OR) for LM 18.6; 95% confidence interval: 9.3-37.1). The algorithm was equally effective in the diagnosis of amelanotic lesions and showed good interobserver reproducibility (87%). In a test set of 29 LMs and 44 BMs, the OR for LM was 60.7 (confidence interval: 11.9-309) (93% sensitivity, 82% specificity).
    Journal of Investigative Dermatology 08/2010; 130(8):2080-91. · 6.19 Impact Factor