Radiology 2021 Sep 21:204731. Epub 2021 Sep 21.
From the Computational Neuroscience Outcomes Center, Department of Neurosurgery, Brigham and Women's Hospital, Harvard Medical School, 60 Fenwood Rd, Boston, MA 02115 (C.M.W.G., A.M.L., A.H.D., A.W.S., O.A., M.W.G., T.R.S., H.A.Z., A.R., A.B.); and Spine Research Department, Department of Neurosurgery, Leiden University Medical Center, Leiden, the Netherlands (C.M.W.G., C.L.A.V.L.).
Background Patients who undergo surgery for cervical radiculopathy are at risk for developing adjacent segment disease (ASD). Identifying patients who will develop ASD remains challenging for clinicians. Purpose To develop and validate a deep learning algorithm capable of predicting ASD by using only preoperative cervical MRI in patients undergoing single-level anterior cervical diskectomy and fusion (ACDF). Read More