Radiology 2021 Aug 3:210043. Epub 2021 Aug 3.
From the Department of Radiology (R.K.G.D., P.I.C.A., M.T., N.G., K.J., H.H.), Human Pathology and Pathogenesis Program, Center for Molecular Oncology (A.L.), Department of Strategy and Innovation (H.N., P.R., L.G., K.N.), and Biostatistics Service, Department of Epidemiology and Biostatistics (C.J.F., N.S., V.S.), Memorial Sloan Kettering Cancer Center, 1275 York Ave, New York, NY 10065; and School of Computing, Queens University, Kingston, Canada (K.L., K.B., F.Z., A.S.).
Background Patterns of metastasis in cancer are increasingly relevant to prognostication and treatment planning but have historically been documented by means of autopsy series. Purpose To show the feasibility of using natural language processing (NLP) to gather accurate data from radiology reports for assessing spatial and temporal patterns of metastatic spread in a large patient cohort. Materials and Methods In this retrospective longitudinal study, consecutive patients who underwent CT from July 2009 to April 2019 and whose CT reports followed a departmental structured template were included. Read More