Digital computer analysis of dermatoscopical images of 260 melanocytic skin lesions; perimeter/area ratio for the differentiation between malignant melanomas and melanocytic nevi.
نویسندگان
چکیده
BACKGROUND Digital computer analysis of dermatoscopical images has been reported to facilitate the differential diagnosis of pigmented skin lesions in recent years. OBJECTIVE The aim of our study was to perform digital computer analysis of a set of different melanocytic lesions and compare the objective results. METHODS The set of 260 melanocytic lesions (150 excised difficult cases (46 melanomas, 47 atypical nevi, 57 common nevi and 110 unexcised common nevi) was automatically analysed by the digital dermatoscopical system microDERM. We searched for differences in asymmetry, size, compactness and colour distribution. Perimeter/area ratio was calculated. RESULTS The perimeter/area ratio was detected as the most important criterion for differentiation between malignant and benign melanocytic lesions (sensitivity 91.3% and specificity 90.7% for malignant melanomas vs. all benign nevi; sensitivity 91.3% and specificity 80.8% for melanomas vs. clinically atypical nevi). Differences in size of the lesion, shape and asymmetry of colour were found and statistically verified. Using step-wise logistic regression the formula for calculation of probability of malignant nature of every analysed lesion was constructed. CONCLUSION The perimeter/area ratio is a simple parameter for the differential diagnosis of melanocytic skin lesions.
منابع مشابه
Estrogen Receptor Beta Expression in Melanomas Versus Dysplastic Nevi
Dear Editor-in-ChiefMalignant melanoma is a tumor arising from melanocyte; this tumor rarely occurs before puberty, with higher mortality rate in males and better survival rate in female patients affected by metastatic melanoma (1, 2). These facts propose that a relationship and association may exist between estrogens and melanoma. The effects of estrogens are mediated by...
متن کاملLimitations of dermoscopy in the recognition of melanoma.
OBJECTIVE To compare dermoscopic features of melanocytic nevi with those of early melanomas that were not excised initially because of their uncharacteristic clinical and dermoscopic appearance. DESIGN Retrospective study of the baseline images of 325 melanocytic skin lesions that were observed by digital dermoscopy and finally excised because of changes over time. SETTING A dermatologic cl...
متن کاملMelanoma detection with a deep learning model
Background: Skin cancer is one of the most common forms of cancer in the world and melanoma is the deadliest type of skin cancer. Both melanoma and melanocytic nevi begin in melanocytes (cells that produce melanin). However, melanocytic nevi are benign whereas melanoma is malignant. This work proposes a deep learning model for classification of these two lesions. Methods: In this analytic s...
متن کاملDifferentiation between malignant melanomas and benign melanocytic nevi by computerized DNA cytometry of imprint specimens.
Recently image analysis (IA) and DNA-cytophotometry (CP) have proved to be useful for the differentiation between benign and malignant melanocytic lesions on paraffin sections. Since, on sections, these procedures are very time-consuming, we tested in the present study whether IA of imprint specimens, which can be evaluated in less than 30 minutes, might also be sufficient. In 39 malignant mela...
متن کاملDermoscopic patterns of acral melanocytic nevi and melanomas in a white population in central Italy.
OBJECTIVE To investigate the dermoscopic features of acral melanocytic lesions in a white population in central Italy. DESIGN Retrospective review. SETTING University dermatology department. PATIENTS Six hundred fifty-one Italian subjects, ranging in age from 6 months to 78 years. MAIN OUTCOME MEASURES We retrospectively investigated all digital dermoscopic images of acral melanocytic l...
متن کاملذخیره در منابع من
با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید
عنوان ژورنال:
- Journal of the European Academy of Dermatology and Venereology : JEADV
دوره 21 1 شماره
صفحات -
تاریخ انتشار 2007