Efficacy of non-enhanced computer tomography-based radiomics for predicting hematoma expansion: A meta-analysis

Abstract

BackgroundThis meta-analysis aimed to assess the efficacy of radiomics using non-enhanced computed tomography (NCCT) for predicting hematoma expansion in patients with spontaneous intracerebral hemorrhage.MethodsThroughout the inception of the project to April 11, 2022, a comprehensive search was conducted on PubMed, Embase, and Cochrane Central Register of Controlled Trials. The methodological quality of studies in this analysis was assessed by the radiomics quality scoring system (RQS). A meta-analysis of radiomic studies based on NCCT for predicting hematoma expansion in patients with intracerebral hemorrhage was performed. The efficacy of the radiomics approach and non-contrast CT markers was compared using network meta-analysis (NMA).ResultsTen articles comprising a total of 1525 patients were quantitatively analyzed for hematoma expansion after cerebral hemorrhage using radiomics. Based on the included studies, the mean RQS was 14.4. The AUC value (95% confidence interval) of the radiomics model was 0.80 (0.76-0.83). Five articles comprising 846 patients were included in the NMA. The results synthesized according to Bayesian NMA revealed that the predictive ability of the radiomics model outperformed most of the NCCT biomarkers.ConclusionsThe NCCT-based radiomics approach has the potential to predict hematoma expansion. Compared to NCCT biomarkers, we recommend a radiomics approach. Standardization of the radiomics approach is required for further clinical implementation.Systematic review registrationhttps://www.crd.york.ac.uk/PROSPERO/display_record.php?RecordID=324034, identifier [CRD42022324034].

The relationship between perihematomal edema and hematoma expansion in acute spontaneous intracerebral hemorrhage: an exploratory radiomics analysis study

“…Several studies have suggested that PHE formation, inflammation, and HE are linked ( Alvarez-Sabín et al, 2004 ; Silva et al, 2005 ; Florczak-Rzepka et al, 2012 ). However, studies predicting HE have predominantly focused on the characteristics of the hematoma itself ( Morotti et al, 2020 ; Jiang et al, 2022 ), often overlooking the contributory role of PHE. A previous study suggested that reduced cerebral blood volume in the perihematomal region is associated with HE, suggesting a potential role for the perihematomal region in the pathophysiology of HE ( Morotti et al, 2019b ).…”

“…Compared to traditional visual assessments, radiomics analysis offers comprehensive, objective, and quantitative evaluations. A recent meta-analysis has shown the efficacy of radiomics features extracted from CT images in characterizing the heterogeneity of ICH and predicting HE (Jiang et al, 2022). Additionally, emerging evidence has indicated a strong correlation between the CT-based radiomics features of PHE and functional prognosis (Huang et al, 2022(Huang et al, , 2023.…”

The clinical potential of radiomics to predict hematoma expansion in spontaneous intracerebral hemorrhage: a narrative review

“…In comparison, the four radiologists performed at a median sensitivity of 84.5% for each tumor type and a median specificity of 61.8, 80.6, and 50.0%. Accordingly, radiomics is emerging as a potential tool to predict HE in patients with sICH ( 13 ). In the present review, we examine the current status and future of radiomics in HE detection and sICH management.…”