ArticleActa neurochirurgica2025
RADAR - Radiomics on aSDH: predicting outcome with surface area.
Article in Acta neurochirurgica, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
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Who cites it
3 citing papers in PubMed.
- BRIDGE: Burr hole vs. craniotomy - radiomic indicators determining the chronification grid in acute subdural hematoma evaluation.Brain & spine · 2026Article
- Surgical decision-making in traumatic acute subdural hematoma: A scoping review of current evidence, knowledge gaps, and future directions.Surgical neurology international · 2026Review
- Computational Modeling of Bridging Vein Rupture and Acute Subdural Hematoma Growth.Annals of biomedical engineering · 2025Article
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Authors and funding
10 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
backgroundAcute subdural hematoma is a critical condition, leading to significant morbidity and mortality. Despite advancements in surgical techniques, a portion of patients only show limited clinical improvement post-evacuation. Surgical intervention decisions are critically important, as they can either improve or worsen a patient's condition. Radiomics offers significant potential by extracting complex patterns from digital medical images and transforming them into high-dimensional data that reflect the underlying pathophysiology. By integrating Radiomics with individual patient characteristics, we can develop decision support models. This study aims to analyze radiomic parameters of aSDH to determine whether they support the decision to proceed with urgent surgery or opt for a conservative approach. We hypothesized that surface area could be a significant predictor of neurological outcome such as maintaining independent mobility (mRS ≥ 3) and survival rates.
methodsThis retrospective study involved radiomic analysis according to neurological outcome and survival. Radiomic parameters were measured using 3D Slicer software. Statistical analyses explored correlations, employing AUC-analysis and Kaplan-Meier survival.
resultsOur findings revealed significant correlations between hematoma and surface area with poorer neurological prognosis. Further subgroup analysis showed surface area as a significant predictor for poorer outcomes in patients undergoing craniotomy (p = 0.006 in univariant- and p = 0.020 in multivariant analysis). In the total cohort, among conservatively managed and craniotomy subgroups, survival analysis highlighted an advantageous survival for patients exhibiting smaller surface areas (< 339.50 cm
conclusionsEspecially in craniotomy patients, surface area emerged as a possible predictor for neurological outcome and survival.
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