Performance of Radiomics derived morphological features for prediction of aneurysm rupture status

  title={Performance of Radiomics derived morphological features for prediction of aneurysm rupture status},
  author={Calvin Gerald Ludwig and Alexandra Lauric and Justin A Malek and Ryan Mulligan and Adel M. Malek},
  journal={Journal of NeuroInterventional Surgery},
  pages={755 - 761}
Background Morphological differences between ruptured and unruptured cerebral aneurysms represent a focus of neuroimaging researchfor understanding the mechanisms of aneurysmal rupture. We evaluated the performance of Radiomics derived morphological features, recently proposed for rupture status classification, against automatically measured shape and size features previously established in the literature. Methods 353 aneurysms (123 ruptured) from three-dimensional rotational catheter… 
Construction and Evaluation of Multiple Radiomics Models for Identifying the Instability of Intracranial Aneurysms Based on CTA
A radiomics and traditional morphology integrated model seems to be an effective tool for identifying intracranial aneurysm instability, whereas the use of Radiomics-derived morphological features alone is not recommended.
Shape related features of intracranial aneurysm are associated with rupture status in a large Chinese cohort
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Prediction of cerebral aneurysm rupture using a point cloud neural network
PC-NNs can achieve more accurate CA rupture prediction than traditional radiomics-based models.
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Machine learning–based radiomics for histological classification of parotid tumors using morphological MRI: a comparative study
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Size ratio and aneurysm angle are promising new morphological metrics for IA rupture risk assessment because these parameters account for vessel geometry and may bridge the gap between morphological studies and more qualitative location-based studies.
Identification of a dichotomy in morphological predictors of rupture status between sidewall- and bifurcation-type intracranial aneurysms.
OBJECT Prediction of aneurysm rupture likelihood is clinically valuable, given that more unruptured aneurysms are being discovered incidentally with the increased use of imaging. The authors set out
Hemodynamic–Morphologic Discriminants for Intracranial Aneurysm Rupture
Hemodynamics is as important as morphology in discriminating aneurysm rupture status with high AUC values, and all 3 models—morphological only, hemodynamic only, and combined—discriminate intracranial aneurYSm rupturestatus with highAUC values.
Aneurysm Morphology and Prediction of Rupture: An International Study of Unruptured Intracranial Aneurysms Analysis
This study underscores the importance of other morphological factors, such as perpendicular height and size ratio, that may influence unruptured intracranial aneurysm rupture risk in addition to greatest diameter and anterior vs posterior location.
Prediction of Aneurysm Stability Using a Machine Learning Model Based on PyRadiomics-Derived Morphological Features.
Flatness is the most important morphological determinant to predict aneurysm stability, followed by SphericalDisproportion, Maximum2DDiameterSlice, and SurfaceArea, and Morphological features extracted from PyRadiomics can be used for aneurYSm stratification.
Ruptured status discrimination performance of aspect ratio, height/width, and bottleneck factor is highly dependent on aneurysm sizing methodology.
Alternative aneurysm size definitions have a significant impact on prediction performance and optimal threshold values, and adoption of standard methodology and sizing nomenclature appears critical to ensure rupture detection performance and reproducibility across studies.
Aneurysm Inflow-Angle as a Discriminant for Rupture in Sidewall Cerebral Aneurysms: Morphometric and Computational Fluid Dynamic Analysis
Inflow-angle is a significant discriminant of rupture status in sidewall-type aneurysms and is associated with higher energy transmission to the dome, which supports inclusion of IA in future prospective aneurYSm rupture risk assessment trials.
Quantified aneurysm shape and rupture risk.
Quantified shape is more effective than size in discriminating between ruptured and unruptured aneurysms, and further investigation will determine whether quantified aneurYSm shape will prove to be a reliable predictor ofAneurysm rupture.
Size Ratio Correlates With Intracranial Aneurysm Rupture Status: A Prospective Study
SR, the ratio between aneurysm size and parent artery diameter, can be easily calculated from 2-dimensional angiograms and correlates with IA rupture status on presentation in a blinded analysis, and should be further studied in a large prospective observational cohort to predict true IA risk of rupture.