ArticleNeurology and therapy2022
A Clinical Predictive Nomogram for Traumatic Brain Parenchyma Hematoma Progression.
Article in Neurology and therapy, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers, 1 of them a synthesis that pooled it.
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Who cites it
12 citing papers in PubMed, 1 synthesis or guideline pooled it, 17 citations in OpenAlex.
- Imaging predictors of hemorrhagic progression of a contusion after traumatic brain injury: a systematic review and meta-analysis.Scientific reports · 2024Pooled it
- A nomogram for the prediction of traumatic intracranial abnormalities in the elderly: Development and validation.Chinese journal of traumatology = Zhonghua chuang shang za zhi · 2026Article
- An interpretable multimodal model for early prediction of delayed hematoma progression in frontal lobe contusion: a machine learning approach.Frontiers in neuroscience · 2026Article
- Cytokines and related signaling pathways in traumatic brain injury.Frontiers in immunology · 2026Review
- Hemostatic disturbances in traumatic brain injury: from mechanism to management.Acta neurochirurgica · 2025Review
- Low serum calcium promotes traumatic intracerebral hematoma expansion by the response of immune cell: A multicenter retrospective cohort study.Scientific reports · 2025Article
- Review
- Cerebral contusions - Pathomechanism, predictive factors for progression and historical and current management.Brain & spine · 2024Review
- Low serum calcium is a novel predictor of unfavorable prognosis after traumatic brain injury.Heliyon · 2023Article
- Epidemiological characteristics for patients with traumatic brain injury and the nomogram model for poor prognosis: an 18-year hospital-based study.Frontiers in neurology · 2023Article
- Prediction of Intraparenchymal Hemorrhage Progression and Neurologic Outcome in Traumatic Brain Injury Patients Using Radiomics Score and Clinical Parameters.Diagnostics (Basel, Switzerland) · 2022Article
- Deep learning-based computed tomography image segmentation and volume measurement of intracerebral hemorrhage.Frontiers in neuroscience · 2022Article
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Authors and funding
12 authors at 2 institutions in 1 country.
Funding
Abstract
introductionAcute traumatic intraparenchymal hematoma (tICH) expansion is a major cause of clinical deterioration after brain contusion. Here, an accurate prediction tool for acute tICH expansion is proposed.
methodsA multicenter hospital-based study for multivariable prediction model was conducted among patients (889 patients in a development dataset and 264 individuals in an external validation dataset) with initial and follow-up computed tomography (CT) imaging for tICH volume evaluation. Semi-automated software was employed to assess tICH expansion. Two multivariate predictive models for acute tICH expansion were developed and externally validated.
resultsA total of 198 (22.27%) individuals had remarkable acute tICH expansion. The novel Traumatic Parenchymatous Hematoma Expansion Aid (TPHEA) model retained several variables, including age, coagulopathy, baseline tICH volume, time to baseline CT time, subdural hemorrhage, a novel imaging marker of multihematoma fuzzy sign, and an inflammatory index of monocyte-to-lymphocyte ratio. Compared with multihematoma fuzzy sign, monocyte-to-lymphocyte ratio, and the basic model, the TPHEA model exhibited optimal discrimination, calibration, and clinical net benefits for patients with acute tICH expansion. A TPHEA nomogram was subsequently introduced from this model to facilitate clinical application. In an external dataset, this device showed good predicting performance for acute tICH expansion.
conclusionsThe main predictive factors in the TPHEA nomogram are the monocyte-to-lymphocyte ratio, baseline tICH volume, and multihematoma fuzzy sign. This user-friendly tool can estimate acute tICH expansion and optimize personalized treatments for individuals with brain contusion.
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