Literature DB >> 24107480

Spindle cell melanoma: a comparison of the cytomorphological features with the epithelioid variant.

Ritika Walia1, Deepali Jain, Sandeep R Mathur, Venkateswaran K Iyer.   

Abstract

OBJECTIVES: Fine-needle aspiration cytology serves as a rapid and cost-effective tool for the diagnosis of melanoma, especially in the recurrent and metastatic cases. The diagnosis poses a challenge due to the varied morphological patterns. Spindle cell melanoma mimics other sarcomas and carcinomas on morphology. This study highlights the cytomorphological features of spindle cell melanoma and compares them with the conventional epithelioid type. STUDY
DESIGN: Cytology smears of 55 aspirates from 45 diagnosed cases of melanoma from various sites were reviewed. Histopathology correlation was done in spindle and mixed cell tumors.
RESULTS: Melanomas with a pure or mixed spindle cell component occurred in 31% of the cases and in a slightly higher age group. These demonstrated prominent cellular cohesion (p < 0.0001), mild to moderate nuclear atypia and inconspicuous to small nucleoli as compared to the epithelioid variant. The presence of melanin pigment was a useful clue to the diagnosis. Most of the cases correlated well with the histomorphology.
CONCLUSION: Spindle cell melanoma is a morphological variant which can be readily misinterpreted due to a lack of classical cytological features of melanoma. Hence, these are vulnerable to be misinterpreted as other neoplasms. An awareness of clinical and cytological features is important to reach the correct diagnosis.

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Year:  2013        PMID: 24107480     DOI: 10.1159/000354405

Source DB:  PubMed          Journal:  Acta Cytol        ISSN: 0001-5547            Impact factor:   2.319


  3 in total

1.  Desmoplastic melanoma versus spindle cell melanoma: Incidence and survival, 1973 to 2017.

Authors:  Zhe Xu; Feiluore Yibulayin; Ping Shi; Lei Feng
Journal:  Medicine (Baltimore)       Date:  2018-07       Impact factor: 1.889

2.  Spindle cell melanoma: Incidence and survival, 1973-2017.

Authors:  Zhe Xu; Ping Shi; Feiluore Yibulayin; Lei Feng; Hao Zhang; Alimujiang Wushou
Journal:  Oncol Lett       Date:  2018-08-01       Impact factor: 2.967

3.  Optimization of an automated tumor-infiltrating lymphocyte algorithm for improved prognostication in primary melanoma.

Authors:  Margaret Chou; Irineu Illa-Bochaca; Ben Minxi; Farbod Darvishian; Paul Johannet; Una Moran; Richard L Shapiro; Russell S Berman; Iman Osman; George Jour; Hua Zhong
Journal:  Mod Pathol       Date:  2020-10-01       Impact factor: 7.842

  3 in total

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