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Updated: Oct 12, 2025

Endovascular Perforation Model for Subarachnoid Hemorrhage Combined with Magnetic Resonance Imaging MRI

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Published on: December 16, 2021

Enhanced Radiomics for Prediction of Rupture Status in Cerebral Aneurysms.

Alexandra Lauric¹, Calvin G Ludwig¹, Adel M Malek¹

¹Cerebrovascular and Endovascular Division and Cerebrovascular Hemodynamics Laboratory, Department of Neurosurgery, Tufts Medical Center, Tufts University School of Medicine, Boston, Massachusetts, USA.

World Neurosurgery

|November 25, 2021

Summary

This summary is machine-generated.

Enhanced Radiomics improves cerebral aneurysm rupture classification by incorporating neck orientation and parent vessel size. This method offers superior performance over conventional Radiomics and established descriptors for risk stratification.

Keywords:

Aneurysm rupture Aneurysm shape Intracranial aneurysms PyRadiomics Radiomics aneurysm morphology Risk stratification

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Area of Science:

Medical Imaging
Radiology
Computational Pathology

Background:

Radiomics offers automated feature extraction but struggles with cerebral aneurysm rupture status classification.
Established descriptors are currently superior to Radiomics for aneurysm risk stratification.

Purpose of the Study:

To enhance Radiomics performance for cerebral aneurysm rupture classification.
To incorporate neck orientation and parent vessel caliber into Radiomics analysis.
To facilitate the adoption of Radiomics for aneurysm risk stratification.

Main Methods:

Analyzed 135 sidewall and 216 bifurcation aneurysms from 3D rotational catheter angiography datasets.
Applied affine transformations for aneurysm neck alignment to enable feature extraction.
Developed enhanced Radiomics incorporating height, width, height/width ratio, and parent vessel size ratio.

Main Results:

Enhanced Radiomics showed significantly higher height/width and size ratio in ruptured aneurysms.
For sidewall aneurysms, enhanced Radiomics (AUC=0.85) matched established features (AUC=0.86) and outperformed conventional Radiomics (AUC=0.82).
For bifurcation aneurysms, enhanced Radiomics (AUC=0.78) outperformed established features (AUC=0.76) and conventional Radiomics (AUC=0.74).

Conclusions:

Enhanced Radiomics, integrating neck orientation and parent vessel estimation, improves rupture status classification.
This operator-independent methodology is a strong candidate for validation in larger studies.
Enhanced Radiomics offers superior classification for both sidewall and bifurcation aneurysms.