Jove
Visualize
Contact Us
JoVE
x logofacebook logolinkedin logoyoutube logo
ABOUT JoVE
OverviewLeadershipBlogJoVE Help Center
AUTHORS
Publishing ProcessEditorial BoardScope & PoliciesPeer ReviewFAQSubmit
LIBRARIANS
TestimonialsSubscriptionsAccessResourcesLibrary Advisory BoardFAQ
RESEARCH
JoVE JournalMethods CollectionsJoVE Encyclopedia of ExperimentsArchive
EDUCATION
JoVE CoreJoVE BusinessJoVE Science EducationJoVE Lab ManualFaculty Resource CenterFaculty Site
Terms & Conditions of Use
Privacy Policy
Policies

Related Concept Videos

Predicting Molecular Geometry02:27

Predicting Molecular Geometry

45.8K
VSEPR Theory for Determination of Electron Pair Geometries
45.8K
Relative Risk01:12

Relative Risk

2.1K
Relative risk (RR) is a statistical measure commonly used in epidemiology to compare the likelihood of a particular event occurring between two groups. This metric is important for evaluating the relationship between exposure to a specific risk factor and the probability of a particular outcome. It plays a crucial role in medical research, public health studies, and risk assessment. Relative risk quantifies how much more (or less) likely an event is to occur in an exposed group compared to an...
2.1K
Heat and Free Expansion01:24

Heat and Free Expansion

2.9K
The work done by a thermodynamic system depends not only on the initial and final states but also on the intermediate states—that is, on the path. Like work, when heat is added to a thermodynamic system, it undergoes a change of state, and the state attained depends on the path from the initial state to the final state. Consider an ideal gas cylinder fitted with a piston. When the cylinder is heated at a constant temperature, the gas molecules absorb energy and expand slowly in a...
2.9K
Prediction Intervals01:03

Prediction Intervals

3.4K
The interval estimate of any variable is known as the prediction interval. It helps decide if a point estimate is dependable.
However, the point estimate is most likely not the exact value of the population parameter, but close to it. After calculating point estimates, we construct interval estimates, called confidence intervals or prediction intervals. This prediction interval comprises a range of values unlike the point estimate and is a better predictor of the observed sample value, y. 
3.4K
Traumatic Memory01:20

Traumatic Memory

579
Emotionally traumatic events often lead to memories that are exceptionally vivid and enduring, sometimes persisting with remarkable clarity throughout an individual's life. A classic example of this phenomenon is a person who survives a car accident. Even years later, they may recall every detail of the event with startling accuracy — the screeching of the tires, the jarring impact, and the acrid smell of burning rubber. Such vividness contrasts sharply with how an individual...
579
Factors Affecting the Risk of Infection01:26

Factors Affecting the Risk of Infection

13.5K
The hosts' susceptibility to infection depends on several factors. The integrity of the skin and mucous membranes helps protect the body against microbial attacks. When the skin is altered, the chance of infection, limb loss, and even death increases.
The integrity and count of the white blood cells help the body resist pathogens and fight infection. When impaired, it reduces the body's resistance to pathogens. The acidic pH levels of the gastrointestinal, genitourinary tracts, and skin...
13.5K

You might also read

Related Articles

Articles linked to this work by shared authors, journal, and citation graph.

Sort by
Same author

Targeted and immunotherapy based on tissue of origin in carcinoma of unknown primary: a two-case report and literature review.

Frontiers in oncology·2026
Same author

Mechanotransduction-driven macrophage polarization via Integrin-SRC-STAT6 pathway in distraction osteogenesis.

Journal of orthopaedic translation·2026
Same author

BAMBI modulates proliferation, apoptosis, and hormone secretion in Jinding duck granulosa cells.

Animal reproduction science·2026
Same author

Dual role of LY96 in shaping the mesenchymal glioblastoma ecosystem through stem cell maintenance and macrophage MES-like reprogramming.

Cancer letters·2026
Same author

Research on solubility prediction method for milk powder quality assessment: based on morphological characteristics.

Food chemistry·2026
Same author

NAD(P)H: quinone oxidoreductase 1-mediated oxidative stress resistance and tumor microenvironment remodeling in glioblastoma.

Neuro-oncology·2026
Same journal

MAN IS A FOOL….

World neurosurgery·2026
Same journal

One-Year Clinical and Imaging Outcomes After Dedicated Sirolimus-Eluting Stenting for Symptomatic Vertebral Artery Origin Stenosis: A Real-World Cohort Study.

World neurosurgery·2026
Same journal

Can Oxygen Induced Vasomotion Be Harnessed in Traumatic Brain Injury? A Narrative Review of the Relationship Between Oxygenation and Intracranial Pressure.

World neurosurgery·2026
Same journal

A grading system based on multiparametric MRI-predicted tumor perfusion, invasiveness and texture (GOLDS-PIT) for surgical difficulty assessment in pituitary macroadenomas: A prospective single-centre cohort study.

World neurosurgery·2026
Same journal

Outcomes and Prognostic Factors After Hematoma Evacuation With or Without Decompressive Craniectomy for Adult Supratentorial Spontaneous Intracerebral Hemorrhage: A Single-Center Retrospective Cohort Study.

World neurosurgery·2026
Same journal

Management Strategies for Multiple Intracranial Aneurysms: A Comparative Systematic Review and Meta-Analysis.

World neurosurgery·2026
See all related articles

Related Experiment Video

Updated: Jan 31, 2026

A Mouse Model of Single and Repetitive Mild Traumatic Brain Injury
04:19

A Mouse Model of Single and Repetitive Mild Traumatic Brain Injury

Published on: June 20, 2017

11.7K

Multivariable Analysis-Based Risk Prediction Model for Intracranial Hematoma Expansion in Traumatic Brain Injury

Changtao Liu1, Rongjie Wu2, Yinghao Yang3

  • 1Department of Neurosurgery, The Affiliated Hospital of Kangda College of Nanjing Medical University/Lianyungang Clinical College of Nanjing Medical University/The First People's Hospital of Lianyungang, Jiangsu, China.

World Neurosurgery
|January 29, 2026
PubMed
Summary
This summary is machine-generated.

A new clinical prediction model accurately identifies patients with traumatic brain contusion (TBC) at high risk for hematoma expansion (HE), aiding early intervention. This tool offers quantitative insights for personalized TBC patient management.

Keywords:
Hematoma expansionPrediction modelRisk stratificationTraumatic brain contusion

More Related Videos

Controlled Cortical Impact Model for Traumatic Brain Injury
05:30

Controlled Cortical Impact Model for Traumatic Brain Injury

Published on: August 5, 2014

29.7K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.5K

Related Experiment Videos

Last Updated: Jan 31, 2026

A Mouse Model of Single and Repetitive Mild Traumatic Brain Injury
04:19

A Mouse Model of Single and Repetitive Mild Traumatic Brain Injury

Published on: June 20, 2017

11.7K
Controlled Cortical Impact Model for Traumatic Brain Injury
05:30

Controlled Cortical Impact Model for Traumatic Brain Injury

Published on: August 5, 2014

29.7K
Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images
14:08

Automated Midline Shift and Intracranial Pressure Estimation based on Brain CT Images

Published on: April 13, 2013

43.5K

Area of Science:

  • Neurosurgery
  • Trauma Care
  • Clinical Prediction Modeling

Background:

  • Traumatic brain contusion (TBC) poses a significant risk of hematoma expansion (HE).
  • Early identification of TBC patients at high risk for HE is crucial for timely intervention and improved outcomes.
  • Existing quantitative tools for predicting HE in TBC patients are limited.

Purpose of the Study:

  • To develop and validate a robust clinical prediction model for hematoma expansion (HE) in patients with traumatic brain contusion (TBC).
  • To provide a quantitative tool for the early identification of TBC patients at high risk for HE.
  • To inform individualized monitoring and treatment strategies for TBC patients.

Main Methods:

  • A retrospective cohort study of 263 TBC patients was conducted.
  • Patients were divided into training (n=184) and validation (n=79) cohorts, with an additional validation cohort (n=88).
  • Multivariate logistic regression identified predictors of HE, and model performance was assessed using ROC curves, calibration plots, and DCA.

Main Results:

  • Hematoma expansion (HE) occurred in 60% of TBC patients.
  • Five independent predictors of HE were identified: subdural hematoma, fibrin degradation products (FDP) >30 mg/L, subarachnoid hemorrhage, frontal lobe injury, and Glasgow Coma Scale (GCS) <13.
  • The prediction model demonstrated high accuracy (AUCs of 0.937 and 0.888) and good calibration in training and validation cohorts, respectively.

Conclusions:

  • The developed prediction model for HE in TBC patients shows excellent discrimination and calibration.
  • This simple, practical scoring system offers quantitative evidence for individualized patient management.
  • The model has promising potential for clinical application to improve TBC patient outcomes.