Correlating Age and Hematoma Volume with Extent of Midline Shift in Acute Subdural Hematoma Patients: Validation of an Artificial Intelligence Tool for Volumetric Analysis.

Journal: World neurosurgery
Published Date: Mar 20, 2024

Abstract

OBJECTIVE: Decision for intervention in acute subdural hematoma patients is based on a combination of clinical and radiographic factors. Age has been suggested as a factor to be strongly considered when interpreting midline shift (MLS) and hematoma volume data for assessing critical clinical severity during operative intervention decisions for acute subdural hematoma patients. The objective of this study was to demonstrate the use of an automated volumetric analysis tool to measure hematoma volume and MLS and quantify their relationship with age.

Authors

  • Manisha Koneru
    Cooper Medical School of Rowan University, Camden, New Jersey, USA.
  • Umika Paul
    UMass Chan Medical School, Worcester, Massachusetts, USA.
  • Ujjwal Upadhyay
    Qure.ai, Mumbai, India.
  • Swetha Tanamala
    Qure.ai, Goregaon East, Mumbai, India.
  • Satish Golla
    Qure.ai, Mumbai, India.
  • Hamza A Shaikh
    Cooper Medical School of Rowan University, Camden, New Jersey, USA; Division of the Cooper Neurological Institute, Department of Neurosurgery, Cooper University Health Care, Camden, New Jersey, USA.
  • Ajith J Thomas
    Neurosurgery Service, Beth Israel Deaconess Medical Center, Harvard Medical School, Boston, Massachusetts, USA. Electronic address: athomas6@bidmc.harvard.edu.
  • Corey M Mossop
    Cooper Medical School of Rowan University, Camden, New Jersey, USA; Division of the Cooper Neurological Institute, Department of Neurosurgery, Cooper University Health Care, Camden, New Jersey, USA.
  • Daniel A Tonetti
    Cooper Medical School of Rowan University, Camden, New Jersey, USA; Division of the Cooper Neurological Institute, Department of Neurosurgery, Cooper University Health Care, Camden, New Jersey, USA. Electronic address: tonetti-daniel@cooperhealth.edu.

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