CMET-27. NATURAL LANGUAGE PROCESSING FOR THE AUTOMATED QUANTIFICATION OF BRAIN METASTASES IN RADIOLOGY FREE TEXT REPORTS

摘要

INTRODUCTIONOptimum treatment for patients diagnosed with brain metastases remains a clinical dilemma that depends on the number of metastases present. Whereas a patient with a single metastasis benefits from surgery followed by radiation, a patient with many may not. In this study, we report the use of natural language processing (NLP) to identify the number of metastases present based on free-text radiology reports in an effort to facilitate high throughput retrospective analysis.