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Radiomics for differentiating ruptured intracranial aneurysms: overview, methodological quality evaluation using

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Radiomics studies on ruptured intracranial aneurysms (IAs) show methodological inconsistencies and limited feature transportability across centers. Addressing these gaps is crucial for clinical application.

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Area of Science:

  • Neurosurgery
  • Medical Imaging
  • Radiomics

Background:

  • Intracranial aneurysms (IAs) pose significant risks, necessitating advanced diagnostic tools.
  • Radiomics offers potential for non-invasive analysis of IA characteristics.
  • Assessing the quality and generalizability of radiomics research in this field is critical.

Purpose of the Study:

  • To evaluate the methodological quality of radiomics studies for ruptured intracranial aneurysms (IAs) using established scoring systems (RQS and METRICS).
  • To assess the transportability and stability of radiomics features in an independent, multi-center dataset (MIRACLE Cohort).

Main Methods:

  • Systematic review of radiomics articles on ruptured IAs.
  • Quality assessment using the Radiomics Quality Score (RQS) and METhodological radiomICs score (METRICS).
  • Validation of radiomics features in the multi-center MIRACLE Cohort with automated segmentation and feature extraction.

Main Results:

  • 26 studies analyzed showed heterogeneous quality, with mean RQS of 9.7 and median METRICS of 72.5%.
  • Fifteen studies were evaluated for transportability; AUCs ranged from 0.51 to 0.61 in the external testing dataset.
  • Original_shape_Elongation was the most common feature; VoxelVolume, MeshVolume, and SurfaceArea showed high stability between manual and automatic segmentations (ICC > 0.9).

Conclusions:

  • Radiomics research for ruptured IAs has evolving but inconsistent methodologies.
  • While some features are stable, their transportability is modest, highlighting issues with external validation and generalizability.
  • Improving methodological rigor and transparency is essential for clinical translation of IA radiomics.