OBJECTIVES: To describe the different vascular structures seen by dermoscopy and to evaluate their association with various melanocytic and nonmelanocytic skin tumors in a large series of cases. DESIGN: Digital dermoscopic images of the lesions were evaluated for the presence of various morphologic types of vessels. SETTING: Specialized university clinic. PATIENTS: From a larger database, 531 excised lesions (from 517 patients) dermoscopically showing any type of vascular structures were included. MAIN OUTCOME MEASURES: The frequency and positive predictive value of the different vascular structures seen in various tumors were calculated, and the differences were evaluated by the chi2 or Fisher exact test. RESULTS: Arborizing vessels were seen in 82.1% of basal cell carcinomas, with a 94.1% positive predictive value (P<.001). Dotted vessels were generally predictive for a melanocytic lesion (90.0%, P<.001), and were especially seen in Spitz nevi (77.8% of lesions). In melanoma, linear-irregular, dotted, and polymorphous/atypical vessels were the most frequent vascular structures, whereas milky-red globules/areas were the most predictive ones (77.8%, P = .003). The presence of erythema was most predictive for Clark nevus, whereas comma, glomerular, crown, and hairpin vessels were significantly associated with dermal/congenital nevi, Bowen disease, sebaceous hyperplasia, and seborrheic keratosis, respectively (P<.001 for all). CONCLUSIONS: Different morphologic types of vessels are associated with different melanocytic or nonmelanocytic skin tumors. Therefore, the recognition of distinctive vascular structures may be helpful for diagnostic purposes, especially when the classic pigmented dermoscopic structures are lacking.
OBJECTIVES: To describe the different vascular structures seen by dermoscopy and to evaluate their association with various melanocytic and nonmelanocytic skin tumors in a large series of cases. DESIGN: Digital dermoscopic images of the lesions were evaluated for the presence of various morphologic types of vessels. SETTING: Specialized university clinic. PATIENTS: From a larger database, 531 excised lesions (from 517 patients) dermoscopically showing any type of vascular structures were included. MAIN OUTCOME MEASURES: The frequency and positive predictive value of the different vascular structures seen in various tumors were calculated, and the differences were evaluated by the chi2 or Fisher exact test. RESULTS: Arborizing vessels were seen in 82.1% of basal cell carcinomas, with a 94.1% positive predictive value (P<.001). Dotted vessels were generally predictive for a melanocytic lesion (90.0%, P<.001), and were especially seen in Spitz nevi (77.8% of lesions). In melanoma, linear-irregular, dotted, and polymorphous/atypical vessels were the most frequent vascular structures, whereas milky-red globules/areas were the most predictive ones (77.8%, P = .003). The presence of erythema was most predictive for Clark nevus, whereas comma, glomerular, crown, and hairpin vessels were significantly associated with dermal/congenital nevi, Bowen disease, sebaceous hyperplasia, and seborrheic keratosis, respectively (P<.001 for all). CONCLUSIONS: Different morphologic types of vessels are associated with different melanocytic or nonmelanocytic skin tumors. Therefore, the recognition of distinctive vascular structures may be helpful for diagnostic purposes, especially when the classic pigmented dermoscopic structures are lacking.
Authors: Amanda Nascimento Cavalleiro de Macedo Mota; Juan Piñeiro-Maceira; Maria de Fatima Guimarães Scotelaro Alves; Mónica Jidid Mateus Tarazona Journal: An Bras Dermatol Date: 2014 Sep-Oct Impact factor: 1.896
Authors: Harald Kittler; Ashfaq A Marghoob; Giuseppe Argenziano; Cristina Carrera; Clara Curiel-Lewandrowski; Rainer Hofmann-Wellenhof; Josep Malvehy; Scott Menzies; Susana Puig; Harold Rabinovitz; Wilhelm Stolz; Toshiaki Saida; H Peter Soyer; Eliot Siegel; William V Stoecker; Alon Scope; Masaru Tanaka; Luc Thomas; Philipp Tschandl; Iris Zalaudek; Allan Halpern Journal: J Am Acad Dermatol Date: 2016-02-17 Impact factor: 11.527
Authors: A Blum; J Kreusch; W Stolz; H Haenssle; R Braun; R Hofmann-Wellenhof; P Tschandl; I Zalaudek; H Kittler Journal: Hautarzt Date: 2017-08 Impact factor: 0.751