Background: The expeditious surgical evacuation of acute epidural hematoma (AEDH) is an attainable gold standard and is often expected to have a good clinical outcome for patients with surgical indications. However, controversy exists on the optimal surgical options for AEDH, especially for patients with brain herniation. Neurosurgeons are confronted with the decision to evacuate the hematoma with decompressive craniectomy (DC) or craniotomy. Methods/design: Patients of both sexes, age between 18 and 65 years, who presented to the emergency room with a clinical and radiological diagnosis of AEDH with herniation, were assessed against the inclusion and exclusion criteria to be enrolled in the study. Clinical and radiological information, including diagnosis of AEDH, treatment procedures, and follow-up data at 1, 3, and 6 months after injury, was collected from 120 eligible patients in 51 centers. The patients were randomized into groups of DC versus craniotomy in a 1:1 ratio. The primary outcome was the Glasgow Outcome Score-Extended (GOSE) at 6 months post-injury. Secondary outcomes included incidence of postoperative cerebral infarction, incidence of additional craniocerebral surgery, and other evaluation indicators within 6 months post-injury. Discussion: This study is expected to support neurosurgeons in their decision to evacuate the epidural hematoma with or without a DC, especially in patients with brain herniation, and provide additional evidence to improve the knowledge in clinical practice. Trial registration: ClinicalTrials.gov NCT 04261673. Registered on 04 February 2020

To develop and validate a mathematical model for predicting intracranial pressure (ICP) noninvasively using phase-contrast cine MRI (PC-MRI). We performed a retrospective analysis of PC-MRI from patients with communicating hydrocephalus (n = 138). The patients were recruited from Shenzhen Second People’s Hospital between November 2017 and April 2020, and randomly allocated into training (n = 97) and independent validation (n = 41) groups. All participants underwent lumbar puncture and PC-MRI in order to evaluate ICP and cerebrospinal fluid (CSF) parameters (i.e., aqueduct diameter and flow velocity), respectively. A novel ICP-predicting model was then developed based on the nonlinear relationships between the CSF parameters, using the Levenberg–Marquardt and general global optimisation methods. There was no significant difference in baseline demographic characteristics between the training and independent validation groups. The accuracy of the model for predicting ICP was 0.899 in the training cohort (n = 97) and 0.861 in the independent validation cohort (n = 41). We obtained an ICP-predicting model that showed excellent performance in the noninvasive diagnosis of clinically significant communicating hydrocephalus.