Radiology 2022 05 25;303(2):433-441. Epub 2022 Jan 25.
From the Department of Radiology, Seoul National University Hospital, Seoul, Korea (W.H., E.J.H., J.H.L., J.P., J.M.G., C.M.P.); Institute of Radiation Medicine, Seoul National University Medical Research Center, 101 Daehak-ro, Jongno-gu, Seoul, 03080, Korea (E.J.H., J.M.G., C.M.P.); and Cancer Research Institute, Seoul National University, Seoul, Korea (J.M.G., C.M.P.).
Background Accurate detection of pneumothorax on chest radiographs, the most common complication of percutaneous transthoracic needle biopsies (PTNBs), is not always easy in practice. A computer-aided detection (CAD) system may help detect pneumothorax. Purpose To investigate whether a deep learning-based CAD system can improve detection performance for pneumothorax on chest radiographs after PTNB in clinical practice. Read More