ArticleWorld neurosurgery2018
Computer-Assisted Three-Dimensional Morphology Evaluation of Intracranial Aneurysms.
Article in World neurosurgery, 2018. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 20 papers, 1 of them a synthesis that pooled it.
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Who cites it
20 citing papers in PubMed, 1 synthesis or guideline pooled it.
- Application of convolutional network models in detection of intracranial aneurysms: A systematic review and meta-analysis.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2023Pooled it
- Spatial Projection Ratio: A Novel Shape Index to Evaluate Aneurysm Rupture Risk Using Three-dimensional Geometry.Neurologia medico-chirurgica · 2025Article
- Imaging of Intracranial Aneurysms: A Review of Standard and Advanced Imaging Techniques.Translational stroke research · 2025Review
- Integrated Deep Learning Model for the Detection, Segmentation, and Morphologic Analysis of Intracranial Aneurysms Using CT Angiography.Radiology. Artificial intelligence · 2025Article
- Aneurysm growth evaluation and detection: a computer-assisted follow-up MRA analysis.Scientific reports · 2024Article
- Assessing accuracy and consistency in intracranial aneurysm sizing: human expertise vs. artificial intelligence.Scientific reports · 2024Article
- Risk factors of unruptured intracranial aneurysms instability in the elderly.Acta neurochirurgica · 2024Article
- Volumetric surveillance of brain aneurysms: Pitfalls of MRA.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2023Article
- Evaluation of unruptured aneurysm scoring systems and ratios in subarachnoid hemorrhage patients with multiple intracranial aneurysms.Surgical neurology international · 2023Article
- Analysis of the wall thickness of intracranial aneurysms: Can computational fluid dynamics detect the translucent areas of saccular intracranial aneurysms and predict the rupture risk preoperatively?Frontiers in neurology · 2022Article
- Deep learning-based recognition and segmentation of intracranial aneurysms under small sample size.Frontiers in physiology · 2022Article
- Definition and extraction of 2D shape indices of intracranial aneurysm necks for rupture risk assessment.International journal of computer assisted radiology and surgery · 2021Article
- VICTORIA: VIrtual neck Curve and True Ostium Reconstruction of Intracranial Aneurysms.Cardiovascular engineering and technology · 2021Article
- 3D Printed Models-A Useful Tool in Endovascular Treatment of Intracranial Aneurysms.Brain sciences · 2021Article
- Reliability and accuracy assessment of morphometric measurements obtained with software for three-dimensional reconstruction of brain aneurysms relative to cerebral angiography measures.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2021Article
- Discrepancy between two-dimensional and three-dimensional digital subtraction angiography for the planning of endovascular coiling of small cerebral aneurysms <5 mm.Interventional neuroradiology : journal of peritherapeutic neuroradiology, surgical procedures and related neurosciences · 2020Article
- Accuracy and reliability of computer-assisted semi-automated morphological analysis of intracranial aneurysms: an experimental study with digital phantoms and clinical aneurysm cases.International journal of computer assisted radiology and surgery · 2020Article
- A history of the path towards imaging of the brain: From skull radiography through cerebral angiography.Current journal of neurology · 2020Review
- Artificial Intelligence in the Management of Intracranial Aneurysms: Current Status and Future Perspectives.AJNR. American journal of neuroradiology · 2020Review
- Novel Models for Identification of the Ruptured Aneurysm in Patients with Subarachnoid Hemorrhage with Multiple Aneurysms.AJNR. American journal of neuroradiology · 2019Article
Corrections and comments
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Authors and funding
11 authors.
Funding
Abstract
objectivePrecise morphologic evaluation is important for intracranial aneurysm (IA) management. At present, clinicians manually measure the IA size and neck diameter on 2-dimensional (2D) digital subtraction angiographic (DSA) images and categorize the IA shape as regular or irregular on 3-dimensional (3D)-DSA images, which could result in inconsistency and bias. We investigated whether a computer-assisted 3D analytical approach could improve IA morphology assessment.
methodsFive neurointerventionists evaluated the size, neck diameter, and shape of 39 IAs using current and computer-assisted 3D approaches. In the computer-assisted 3D approach, the size, neck diameter, and undulation index (UI, a shape irregularity metric) were extracted using semiautomated reconstruction of aneurysm geometry using 3D-DSA, followed by IA neck identification and computerized geometry assessment.
resultsThe size and neck diameter measured using the manual 2D approach were smaller than computer-assisted 3D measurements by 2.01 mm (P < 0.001) and 1.85 mm (P < 0.001), respectively. Applying the definitions of small IAs (<7 mm) and narrow-necked IAs (<4 mm) from the reported data, interrater variation in manual 2D measurements resulted in inconsistent classification of the size of 14 IAs and the necks of 19 IAs. Visual inspection resulted in an inconsistent shape classification for 23 IAs among the raters. Greater consistency was achieved using the computer-assisted 3D approach for size (intraclass correlation coefficient [ICC], 1.00), neck measurements (ICC, 0.96), and shape quantification (UI; ICC, 0.94).
conclusionsComputer-assisted 3D morphology analysis can improve accuracy and consistency in measurements compared with manual 2D measurements. It can also more reliably quantify shape irregularity using the UI. Future application of computer-assisted analysis tools could help clinicians standardize morphology evaluations, leading to more consistent IA evaluations.
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