图像重建参数对未来肺癌风险预测使用低剂量胸部计算机断层扫描和开放访问的Sybil算法图像重建参数的意义

Judit Simon¹, Peter Mikhael, Alexander Graur+5

• ¹From the Division of Thoracic Imaging and Intervention, Department of Radiology, Massachusetts General Hospital, Boston, MA (J.S., A.G., F.J.F.); Harvard Medical School, Boston, MA (J.S., A.E.B.C., S.J.S., L.V.S., F.J.F.); Department of Electrical Engineering and Computer Science, Massachusetts Institute of Technology, Cambridge, MA (P.M.); Jameel Clinic, Massachusetts Institute of Technology, Cambridge, MA (P.M.); Division of Hematology/Oncology, Department of Medicine, Massachusetts General Hospital, Boston, MA (A.E.B.C., L.V.S.); Department of Medicine, MGH Biostatistics, Massachusetts General Hospital, Boston MA (S.J.S.); and Multidisciplinary Thoracic Oncology Program, Baptist Cancer Center, Memphis, TN (R.U.O.).