Radiology 2021 01 10;298(1):212-218. Epub 2020 Nov 10.
From the Department of Radiology, Severance Hospital, Research Institute of Radiological Science (K.H.), and Biostatistics Collaboration Unit, Department of Biomedical Systems Informatics (M.L.), Yonsei University College of Medicine, Seoul, Korea; and Department of Radiology and Research Institute of Radiology, Asan Medical Center, University of Ulsan College of Medicine, 88 Olympic-ro, 43-gil, Songpa-gu, Seoul, 138-736, Korea (J.H.K., S.G.Y., S.H.P., H.K.C., S.Y.C., P.N.K., J.P.).
Background Local tumor progression (LTP) is associated with poorer survival in patients undergoing radiofrequency ablation (RFA) for colorectal liver metastasis (CLM). An algorithmic strategy to predict LTP may help in selection of patients who would benefit most from RFA for CLM. Purpose To estimate local tumor progression-free survival (LTPFS) following RFA of CLM and develop an algorithmic strategy based on clinical variables. Read More