MRIHEAL24

Evan Calabrese1, Yvonne Wu1, Aaron Wolfe Scheffler1

  • 1From the Department of Radiology, Duke University Medical Center, Durham, NC (E.C.); Department of Neurology and Weill Institute for Neuroscience (Y.W., H.C.G.), Department of Pediatrics, UCSF Benioff Children's Hospital (Y.W., H.C.G.), Department of Epidemiology and Biostatistics (A.W.S.), School of Medicine (S.G.), and Neuroradiology Section, Department of Radiology and Biomedical Imaging (C.P.H., Y.L.), University of California, San Francisco, 505 Parnassus Ave, M-391, San Francisco, CA 94143-0628; Department of Radiology, Children's Hospital of Los Angeles, University of Southern California Keck School of Medicine, Los Angeles, Calif (J.L.W.); Mallinckrodt Institute of Radiology, Washington University School of Medicine, St Louis, Mo (R.C.M.); Department of Pediatrics, St Louis University, St Louis, Mo (A.M.); and Departments of Statistics (B.A.C., P.J.H.) and Pediatrics (S.E.J.), University of Washington, Seattle, Wash.

Radiology
|September 12, 2023
PubMed
概括

新生儿急性脑损伤的定量MRI分析准确预测神经发育结果. 这种自动化方法与放射科医生得分有很好的相关性,为评估缺氧缺血性脑病变的严重程度提供了精确的工具.