MRI-Based Prediction of Clinical Improvement after Ventricular Shunt Placement for Normal Pressure Hydrocephalus: Development and Evaluation of an Integrated Multisequence Machine Learning Algorithm

^aFrom the Department of Neurosurgery (O.P.L., K.M., S.S., K.S., P.M.K.), Brown University Warren Alpert Medical School, Providence, Rhode Island
^bDepartment of Diagnostic Imaging (Z.Z., L.B., Z.J., G.R., S.C., J.L.B.), Brown University Warren Alpert Medical School, Providence, Rhode Island
^cSchool of Electronic Engineering (Z.Z.), Xidian University, Xi’an, China
^dDepartment of Neurology (Y.-W.D., L.Y.), The Second Xiangya Hospital, Central South University, Hunan, China
^eDepartment of Radiology (D.K., M.I., L.-M.Z., H.B.), Johns Hopkins University School of Medicine, Baltimore, Maryland
^fColumbia University Vagelos College of Physicians and Surgeons (K.M.), New York, New York
^gCarina Medical (X.F.), Lexington, Kentucky
^hDepartment of Biomedical Engineering (X.F.), University of Virginia, Charlottesville, Virginia
ⁱDepartment of Neurology (A.M.), Johns Hopkins University School of Medicine, Baltimore, Maryland

Please address correspondence to Owen P. Leary, BS, Warren Alpert Medical School of Brown University, Department of Neurosurgery, Rhode Island Hospital, APC Building, Floor 6, 593 Eddy St, Providence RI 02903; e-mail: owen_leary{at}brown.edu