P665: Implementation of cfDNA pancreatic cancer test in high-risk patients with genetic and/or family history of cancer in a clinical setting

ranging from 22 to 213 seconds (p>0.05,paired t-test).Following segmentation corrections, 0 or 1 placement error was reported in 91% of the metaphases karyotyped using the AI classification models in their standard configuration.However, the AI segmentation models were notably affected by the specific enhancement schemes and image properties of the imported scans and will require optimization.Conclusion: This pilot evaluation demonstrates the feasibility of converting, importing, and processing metaphase images from a commercially available scanning system for analysis using third-party software.While AI models, particularly for chromosome segmentation, require further optimization to adapt to the characteristics of the imported images, this initial study highlights the potential of a new automated import and processing utility.This preliminary assessment illustrates how interoperability could facilitate the adoption of AI-based chromosome analysis and karyotyping software in cytogenetics laboratories without necessitating the replacement of costly image acquisition systems.