Preoperative Neuroimaging Markers, Clinical Severity Measures, and Shunt Characteristics for Predicting Shunt Revision in Idiopathic Intracranial Hypertension: An Explainable Machine-Learning Study

SHAP = SHapley Additive exPlanations; ICP = Intracranial Pressure; IIH = Idiopathic Intracranial Hypertension; ML = Machine Learning; ONSD = Optic Nerve Sheath Diameter; LPS = Lumboperitoneal Shunt; XGBoost = Extreme Gradient Boosting.

Authors

Paramita Das (ORCID: https://orcid.org/0000-0002-3070-7125)
Sonja Chen (ORCID: https://orcid.org/0000-0001-6174-8723)
Jacob Rosen
Seifollah Gholampour (ORCID: https://orcid.org/0000-0002-4924-4239)
Arshia Dehghan
Timothy J. Carroll
Jay K Patel

Institutions

University of Chicago (US)

Publication Details

Journal: American Journal of Neuroradiology
Published: 2026-01-20
DOI: https://doi.org/10.3174/ajnr.a9166
Primary Topic: Cerebral Venous Sinus Thrombosis
Type: article
Field-Weighted Citation Impact: 0.00

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article

Preoperative Neuroimaging Markers, Clinical Severity Measures, and Shunt Characteristics for Predicting Shunt Revision in Idiopathic Intracranial Hypertension: An Explainable Machine-Learning Study

Paramita Das, Sonja Chen, Jacob Rosen, Seifollah Gholampour et al.

Jan 20, 2026

American Journal of Neuroradiology

Cerebral Venous Sinus Thrombosis

article

Preoperative Neuroimaging Markers, Clinical Severity Measures, and Shunt Characteristics for Predicting Shunt Revision in Idiopathic Intracranial Hypertension: An Explainable Machine-Learning Study

Paramita Das, Sonja Chen, Jacob Rosen, Seifollah Gholampour, Arshia Dehghan, Timothy J. Carroll, Jay K Patel

January 20, 2026article en

Abstract

SHAP = SHapley Additive exPlanations; ICP = Intracranial Pressure; IIH = Idiopathic Intracranial Hypertension; ML = Machine Learning; ONSD = Optic Nerve Sheath Diameter; LPS = Lumboperitoneal Shunt; XGBoost = Extreme Gradient Boosting.

American Journal of Neuroradiology

University of Chicago (US)

Openalex Percentile: Top 84%

Cerebral Venous Sinus Thrombosis

DOI Open Access PDF OpenAlex

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