e14610 Background: In patients with metastatic lung cancers, analysis of cfDNA is increasingly used to detect oncogenes, frequently allowing matched targeted therapy. Mutation detection in cfDNA may be influenced by several factors, such as disease burden. We hypothesized that volumetrics, as routinely analyzed during radiation simulation, correlates with mutation detection in cfDNA. Methods: Patients underwent cfDNA analysis between 10/2016 and 1/2018. Those with metastatic NSCLC, adequate imaging for volumetric analysis (PET/CT and MRI brain), and who were treatment naïve at plasma draw were included. Plasma underwent a 21-gene next generation sequencing assay (Resolution Bioscience). A single observer segmented tumor volumes. Volume of disease was correlated with mutation detection in cfDNA for all 21 genes including the 8 NCCN oncogenes (EGFR, ALK, ROS1, BRAF, KRAS, HER2, RET, MET) with univariate Mann-Whitney. Results: Of the 210 pts with plasma, 52 met inclusion criteria. There were 22 males (42%), median age 67yo (IQR 59-74), 24 former smokers (median pack-years: 25), 44 adenocarcinomas (85%), 21 matched to targeted therapy based on cfDNA results (40%), and median cfDNA extracted concentration was 1.56 ng/mL (IQR 1.1 – 2.6 ng/mL). Involved sites included lymph nodes (n = 43), bone (n = 25), brain (n = 15), liver (n = 13), and adrenals (n = 12). Median total tumor volume was 67.0 mL (IQR 36.6-184.6 mL). When evaluating all 21 genes, cfDNA was mutation positive in 40 pts and negative in 12 pts. Median tumor volume was 77.6 mL and 40.4 mL for positive and negative, respectively (p = 0.12). For the 8 NCCN oncogenes, cfDNA was positive in 18 pts and negative in 34 pts. Median tumor volume was 105.3 mL and 67.0 mL for positive and negative, respectively (p = 0.40). Conclusions: Volumetric analysis showed there was a non-significant trend toward larger tumor volume among pts with positive cfDNA mutation detection. As the use of cfDNA continues to expand into earlier disease stage settings, volumetrics at diagnosis may become an increasingly important tool to help predict cfDNA mutation detection to guide targeted therapy. Further studies of volumetrics and cfDNA analysis are warranted.