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. 2024 Oct 9:18:1474780.
doi: 10.3389/fnins.2024.1474780. eCollection 2024.

Predictive value of radiomics for intracranial aneurysm rupture: a systematic review and meta-analysis

Haoda Wang  1 , Haidong Xu  1 , Junsheng Fan  1 , Jie Liu  1 , Liangfu Li  1 , Zailiang Kong  1 , Hui Zhao  2
Affiliations

Predictive value of radiomics for intracranial aneurysm rupture: a systematic review and meta-analysis

Haoda Wang et al. Front Neurosci. .

Abstract

Objective: To systematically review the literature on radiomics for predicting intracranial aneurysm rupture and conduct a meta-analysis to obtain evidence confirming the value of radiomics in this prediction.

Methods: A systematic literature search was conducted in PubMed, Web of Science, Embase, and The Cochrane Library databases up to March 2024. The QUADAS-2 tool was used to assess study quality. Stata 15.0 and Review Manager 5.4.1 were used for statistical analysis. Outcomes included combined sensitivity (Sen), specificity (Spe), positive likelihood ratio (+LR), negative likelihood ratio (-LR), diagnostic odds ratio (DOR), and their 95% confidence intervals (CI), as well as pre-test and post-test probabilities. The SROC curve was plotted, and the area under the curve (AUC) was calculated. Publication bias and small-study effects were assessed using the Deeks' funnel plot.

Results: The 9 included studies reported 4,284 patients, with 1,411 patients with intracranial aneurysm rupture (prevalence 32.9%). The overall performance of radiomics for predicting intracranial aneurysm rupture showed a combined Sen of 0.78 (95% CI: 0.74-0.82), Spe of 0.74 (95% CI: 0.70-0.78), +LR of 3.0 (95% CI: 2.7-3.4), -LR of 0.29 (95% CI: 0.25-0.35), DOR of 10 (95% CI: 9-12), and AUC of 0.83 (95% CI: 0.79-0.86). Significant heterogeneity was observed in both Sen (I2 = 90.93, 95% CI: 89.00-92.87%) and Spe (I2 = 94.28, 95% CI: 93.21-95.34%).

Conclusion: Radiomics can improve the diagnostic efficacy of intracranial aneurysm rupture. More large-sample, prospective, multicenter clinical studies are needed to further evaluate its predictive value.

Systematic review registration: https://www.crd.york.ac.uk/PROSPERO/.

Keywords: diagnosis; intracranial aneurysm rupture; meta-analysis; radiomics; systematic review.

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Conflict of interest statement

The remaining authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.

Figures

Figure 1
Figure 1
PRISMA flow-chart for the systematic review and meta-analysis.
Figure 2
Figure 2
Risk of bias and applicability concerns summary.
Figure 3
Figure 3
The forest map of the combined sensitivity, specificity of the predictive value of radiomics for intracranial aneurysm rupture.
Figure 4
Figure 4
SROC curve of radiomics for predicting intracranial aneurysm rupture.
Figure 5
Figure 5
Detection of publication bias in predicting intracranial aneurysm rupture using radiomics.
Figure 6
Figure 6
Funnel plot of “trim-and-fill method”.
Figure 7
Figure 7
Fagan’s Nomogram for predicting intracranial aneurysm rupture using radiomics.
See this image and copyright information in PMC

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