Refined pancreatobiliary UroVysion criteria and an approach for further optimization. (10th August 2021)

• Record Type: Journal Article
• Authors: Mettman, Daniel; Saeed, Azhar; Shold, Janna; Laury, Raquele; Ly, Andrew; Khan, Irfan; Golem, Shivani; Olyaee, Mojtaba; O'Neil, Maura
• Is Part Of: Cancer medicine. Volume 10:Number 17(2021)
• Page Start: 5725
• Page End: 5738
• Publication Date: 2021-08-10
• Subjects: cytogenetics -- cytopathology -- FISH -- pancreatobiliary -- stricture; 616.994005
• DOI: 10.1002/cam4.4043
• Languages: English
• ISSNs: 2045-7634

Abstract

Abstract: Pancreatobiliary strictures are a common source of false negatives for malignancy detection. UroVysion is more sensitive than any other method but remains underutilized because of conflicting sensitivities and specificities due to a lack of standardized cutoff criteria and confusion in interpreting results in the context of primary sclerosing cholangitis. We set out to determine the sensitivities and specificities of UroVysion, brushing cytology, forceps biopsies, and fine needle aspiration (FNAs) for pancreatobiliary stricture malignancy detection. A retrospective review was performed of all biopsied pancreatobiliary strictures at our institution over 5 years. UroVysion was unquestionably the most sensitive method and all methods were highly specific. Sensitivity was highest while maintaining specificity when a malignant interpretation was limited to cases with 5+ cells with the same polysomic signal pattern and/or loss of one or both 9p21 signals. Only UroVysion detected the metastases and a neuroendocrine tumor. In reviewing and analyzing the signal patterns, we noticed trends according to location and diagnosis. Herein we describe our method for analyzing signal patterns and propose cutoff criteria based upon observations gleaned from such analysis. Abstract : Fluorescent in situ hybridization has been the most sensitive method for detecting pancreatobiliary stricture malignancy in biopsy specimens but is underutilized because of confusion from inconsistent and suboptimal criteria. This article presents refined criteria based on the literature, our experience, and a method for signal pattern analysis that we illustrate in this article.