scholarly journals MALIGNANT MELANOMA AND PREGNANCY

2021 ◽  
Vol 68 (2) ◽  
pp. 143-146
Author(s):  
Delia Cudalbă ◽  
◽  
Nicolae Gică ◽  
Radu Botezatu ◽  
Corina Gică ◽  
...  
Keyword(s):  
Malignant Melanoma ◽  
Poor Prognosis ◽  
Skin Lesions ◽  
Fetal Medicine ◽  
Treatment Need ◽  
Pigmented Skin Lesions ◽  
Pregnant State ◽  
State Diagnosis ◽  
Patients With Poor Prognosis ◽  
In Pregnancy

Malignant melanoma is one of the most frequent cancers diagnosed during pregnancy. Any pigmented skin lesions that change the color should be examined by an experienced dermatologist and if suspected, should be biopsied. Recent studies showed that malignant melanoma in pregnancy has not a worse outcome compared with non-pregnant state. Diagnosis of melanoma does not require an early delivery excepted pregnant patients with poor prognosis that need more aggressive treatment. Diagnosis and treatment need to be established in specialized centers with a multidisciplinary team. Pregnancy monitoring should be performed by team consisting of an obstetrician, a neonatologist and a specialist in fetal medicine.

Malignant melanoma

2019 ◽  
Vol 12 (6) ◽  
pp. 297-303
Author(s):  
Charlotte Sidebotham
Keyword(s):  
Public Health ◽  
Malignant Melanoma ◽  
Skin Lesions ◽  
Health Concern ◽  
Public Health Concern ◽  
Favourable Prognosis ◽  
Younger Age ◽  
Pigmented Skin Lesions ◽  
Early Primary

Melanoma affects people at a younger age than other cancers, and can rapidly become fatal if not detected. Thus, pigmented skin lesions can cause concern in both doctors and patients. If discovered in the early primary stages, melanomas have a favourable prognosis. Over the last few decades, the incidence of melanoma has significantly increased, and is fast becoming an urgent public health concern. This article aims to shine a light on this dangerous adversary.

scholarly journals Dermoscopic Features of Pigmented Bowen's Disease in a Japanese Female Mimicking Malignant Melanoma

2010 ◽  
Vol 2010 ◽  
pp. 1-3 ◽  
Author(s):  
Takayuki Inoue ◽  
Ken Kobayashi ◽  
Mizuki Sawada ◽  
Sumiko Ishizaki ◽  
Haruo Ito ◽  
...  
Keyword(s):  
Malignant Melanoma ◽  
Skin Lesions ◽  
Japanese Woman ◽  
Bowen’S Disease ◽  
Seborrheic Keratosis ◽  
Bowen's Disease ◽  
Pathologic Features ◽  
Old Japanese ◽  
History Of ◽  
Pigmented Skin Lesions

Various structures have been reported for dermoscopic features of pigmented Bowen's disease (BD), which could be a mimic of various pigmented skin lesions. A 79-year-old Japanese woman presented with a 3-year history of brown-black macule on her right upper arm without symptom. Dermoscopic examination demonstrated irregular flossy streaks, irregular brown dots/globules, blue-whitish regression structures, and overlaying whitish scaly areas. We suspected pigmented skin lesions including seborrheic keratosis, pigmented eccrine poroma, and malignant melanoma and excised completely with a 5 mm margin. Histopathological features were consistent with a diagnosis of pigmented BD. Although similar dermoscopic features might be revealed in pigmented skin lesions and it may occasionally be difficult to distinguish between pigmented BD and other pigmented skin lesions, dermoscopy would be useful in speculating pathologic features of pigmented BD.

scholarly journals Diagnostic Performance of a Support Vector Machine for Dermatofluoroscopic Melanoma Recognition: The Results of the Retrospective Clinical Study on 214 Pigmented Skin Lesions

Diagnostics ◽  
2019 ◽  
Vol 9 (3) ◽  
pp. 103 ◽  
Author(s):  
Łukasz Szyc ◽  
Uwe Hillen ◽  
Constantin Scharlach ◽  
Friederike Kauer ◽  
Claus Garbe
Keyword(s):  
Support Vector Machine ◽  
Malignant Melanoma ◽  
Fluorescence Spectra ◽  
Learning Algorithm ◽  
Skin Lesions ◽  
Support Vector ◽  
Retrospective Clinical Study ◽  
Scoring Algorithm ◽  
Pigmented Skin Lesions

The need for diagnosing malignant melanoma in its earliest stages results in an increasing number of unnecessary excisions. Objective criteria beyond the visual inspection are needed to distinguish between benign and malignant melanocytic tumors in vivo. Fluorescence spectra collected during the prospective, multicenter observational study (“FLIMMA”) were retrospectively analyzed by the newly developed machine learning algorithm. The formalin-fixed paraffin-embedded (FFPE) tissue samples of 214 pigmented skin lesions (PSLs) from 144 patients were examined by two independent pathologists in addition to the first diagnosis from the FLIMMA study, resulting in three histopathological results per sample. The support vector machine classifier was trained on 17,918 fluorescence spectra from 49 lesions labeled as malignant (1) and benign (0) by three histopathologists. A scoring system that scales linearly with the number of the “malignant spectra” was designed to classify the lesion as malignant melanoma (score > 28) or non-melanoma (score ≤ 28). Finally, the scoring algorithm was validated on 165 lesions to ensure model prediction power and to estimate the diagnostic accuracy of dermatofluoroscopy in melanoma detection. The scoring algorithm revealed a sensitivity of 91.7% and a specificity of 83.0% in diagnosing malignant melanoma. Using additionally the image segmentation for normalization of lesions’ region of interest, a further improvement of sensitivity of 95.8% was achieved, with a corresponding specificity of 80.9%.

Metastases from malignant melanoma after laser treatment of undiagnosed pigmented skin lesions

2013 ◽  
Vol 28 (5) ◽  
pp. 1403-1404 ◽  
Author(s):  
T. H. Larsen ◽  
M. Nielsen ◽  
R. Lindskov ◽  
B. L. Hegelund ◽  
M. Haedersdal
Keyword(s):  
Malignant Melanoma ◽  
Laser Treatment ◽  
Skin Lesions ◽  
Pigmented Skin Lesions
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