MRI-Based Prediction of Clinical Improvement Following Ventricular Shunt Placement for Normal Pressure Hydrocephalus (NPH): Development and Evaluation of an Integrated Multi-Sequence Machine Learning Algorithm

Leary, O. P., Zhong, Z., Bi, L., Jiao, Z., Dai, Y.-W., Ma, K., Sayied, S., Kargilis, D., Imami, M., Zhao, L.-M., Feng, X., Riccardello, G., Collins, S., Svokos, K., Moghekar, A., Yang, L., Bai, H., Klinge, P. M., & Boxerman, J. L. (2024). MRI-Based Prediction of Clinical Improvement Following Ventricular Shunt Placement for Normal Pressure Hydrocephalus (NPH): Development and Evaluation of an Integrated Multi-Sequence Machine Learning Algorithm. American Journal of Neuroradiology, ajnr.A8372. https://doi.org/10.3174/ajnr.a8372
Authors:
Owen P Leary
Zhusi Zhong
Lulu Bi
Zhicheng Jiao
Yu-Wei Dai
Kevin Ma
Shanzeh Sayied
Daniel Kargilis
Maliha Imami
Lin-Mei Zhao
Xue Feng
Gerald Riccardello
Scott Collins
Konstantina Svokos
Abhay Moghekar
Li Yang
Harrison Bai
Petra M Klinge
Jerrold L Boxerman
Affiliated Authors:
Owen P Leary
Zhusi Zhong
Lulu Bi
Zhicheng Jiao
Yu-Wei Dai
Kevin Ma
Shanzeh Sayied
Daniel Kargilis
Maliha Imami
Lin-Mei Zhao
Xue Feng
Gerald Riccardello
Scott Collins
Konstantina Svokos
Abhay Moghekar
Li Yang
Harrison Bai
Petra M Klinge
Jerrold L Boxerman
Publication Type:
Article
Unique ID:
10.3174/ajnr.a8372
PMID:
Publication Date:
Data Source:
PubMed

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