Automated quantification of Ki67/MART1 stains may prevent false-negative melanoma diagnoses

Autor:	Anne Wandler, Torben Steiniche, Eva Spaun, Patricia Switten Nielsen
Rok vydání:	2016
Předmět:	medicine.medical_specialty Pathology Histology business.industry Melanoma H&E stain Dermatology medicine.disease Spitz nevus Pathology and Forensic Medicine Surgical pathology 030207 dermatology & venereal diseases 03 medical and health sciences 0302 clinical medicine medicine.anatomical_structure Dermis 030220 oncology & carcinogenesis medicine Immunohistochemistry Proliferation Marker Medical diagnosis business
Zdroj:	Journal of Cutaneous Pathology. 43:956-962
ISSN:	0303-6987
Popis:	Background Inability to distinguish melanomas from benign nevi is the most frequent reason for malpractice lawsuits in surgical pathology. Reliable diagnostic tools to support hematoxylin and eosin (H&E) stains and induce diagnostic vigilance are thus highly needed. Because high diagnostic performance recently was showed using automated image analysis, the immunohistochemical proliferation marker Ki67 seems a potential candidate. This study aimed to investigate if this previously presented automated algorithm could have prevented 10 false-negative melanoma diagnoses. In addition, diagnostic utility of another, but narrower, immunohistochemical proliferation marker, phosphohistone H3 (PHH3), was explored. Methods A total of 10 formalin-fixed paraffin-embedded melanocytic tumors, initially classified as benign or dysplastic but revised as melanomas at metastatic debut, were dual-stained for Ki67/MART1 and PHH3/MART1. A Ki67 index was automatically calculated in epidermis, dermis, a combination of such, and a dermal hot spot. Dermal PHH3/MART1 scores were established semi-automatically. Results The dermal Ki67 index identified all 10 melanomas, the hot-spot index 8 and the epidermal and combined indices only 2 and 5, respectively. Nine melanomas were PHH3 positive and scores correlated with Ki67. Conclusions PHH3 added limited information, but supplemental automated Ki67 assessment could possibly have prevented the misdiagnosis of most melanomas had the algorithm been available at the time of diagnosis.
Databáze:	OpenAIRE
Externí odkaz:	https://explore.openaire.eu/search/publication?articleId=doi_________::63e4c4475f747ecd5aa89b145da63a0f https://doi.org/10.1111/cup.12778 Zobrazit plný text záznamu Plný text ve formátu PDF Plný text ve formátu HTML
Nepřihlášeným uživatelům se plný text nezobrazuje	K zobrazení výsledku je třeba se přihlásit.