A comparison of imaging software and conventional cell counting in determining melanocyte density in photodamaged control sample and melanoma in situ biopsies
| Autor: | Annie Coakley, Timothy J Orlowski, Lauren Moy, Jodi Speiser, Aaron Muhlbauer |
|---|---|
| Rok vydání: | 2020 |
| Předmět: |
Pathology
medicine.medical_specialty Skin Neoplasms Time Factors Histology Biopsy Melanoma in situ Cell Count Dermatology Image processing software Melanocyte Sampling Studies Specimen Handling Pathology and Forensic Medicine 030207 dermatology & venereal diseases 03 medical and health sciences 0302 clinical medicine Image Processing Computer-Assisted medicine Humans In patient Control sample Melanoma Retrospective Studies Skin Microphthalmia-Associated Transcription Factor business.industry Significant difference food and beverages Cell counting Immunohistochemistry medicine.anatomical_structure 030220 oncology & carcinogenesis Melanocytes Nuclear medicine business Software |
| Zdroj: | Journal of Cutaneous Pathology. 47:675-680 |
| ISSN: | 1600-0560 0303-6987 |
| Popis: | BACKGROUND Objective methods for distinguishing melanoma in situ (MIS) from photodamaged skin (PS) are needed to guide treatment in patients with melanocytic proliferations. Melanocyte density (MD) could serve as an objective histopathological criterion in difficult cases. Calculating MD via manual cell counts (MCC) with immunohistochemical (IHC)-stained slides has been previously published. However, the clinical application of this method is questionable, as quantification of MD via MCC on difficult cases is time consuming, especially in high volume practices. METHODS ImageJ is an image processing software that uses scanned slide images to determine cell count. In this study, we compared MCC to ImageJ calculated MD in microphthalmia transcription factor-IHC stained MIS biopsies and control PS acquired from the same patients. RESULTS We found a statistically significant difference in MD between PS and MIS as measured by both MCC and ImageJ software (P |
| Databáze: | OpenAIRE |
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