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

Abstract

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.

Keywords: Ki67; Spitz nevus; immunohistochemistry; melanoma; phosphohistone H3.