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ABSTRACT: Background
Droplet digital (dd)PCR is a new-generation PCR technique with high precision and sensitivity; however, the positive and negative droplets are not always effectively separated because of the "rain" phenomenon. We aimed to develop a practical optimization and evaluation process for the ddPCR assay and to apply it to the detection of BRAF V600E in fine-needle aspiration (FNA) specimens of thyroid nodules, as an example.Methods
We optimized seven ddPCR parameters that can affect "rain." Analytical and clinical performance were analyzed based on histological diagnosis after thyroidectomy using a consecutive prospective series of 242 FNA specimens.Results
The annealing time and temperature, number of PCR cycles, and primer and probe concentrations were
SUBMITTER: Min YK
PROVIDER: S-EPMC11375207 | biostudies-literature | 2024 Nov
REPOSITORIES: biostudies-literature