Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade
Abstract Computational fluid dynamics (CFD) simulations are increasingly utilised to evaluate intracranial aneurysm (IA) haemodynamics to aid in the prediction of morphological changes and rupture risk. However, these models vary and differences in published results warrant the investigation of IA-C...
| Main Authors: | , , , , , , , , , , , , , |
|---|---|
| Format: | Article |
| Language: | English |
| Published: |
Nature Portfolio
2023-01-01
|
| Series: | Scientific Reports |
| Online Access: | https://doi.org/10.1038/s41598-022-27354-w |
| _version_ | 1797958662689390592 |
|---|---|
| author | Phani Kumari Paritala Haveena Anbananthan Jacob Hautaniemi Macauley Smith Antony George Mark Allenby Jessica Benitez Mendieta Jiaqiu Wang Liam Maclachlan EeShern Liang Marita Prior Prasad K. D. V. Yarlagadda Craig Winter Zhiyong Li |
| author_facet | Phani Kumari Paritala Haveena Anbananthan Jacob Hautaniemi Macauley Smith Antony George Mark Allenby Jessica Benitez Mendieta Jiaqiu Wang Liam Maclachlan EeShern Liang Marita Prior Prasad K. D. V. Yarlagadda Craig Winter Zhiyong Li |
| author_sort | Phani Kumari Paritala |
| collection | DOAJ |
| description | Abstract Computational fluid dynamics (CFD) simulations are increasingly utilised to evaluate intracranial aneurysm (IA) haemodynamics to aid in the prediction of morphological changes and rupture risk. However, these models vary and differences in published results warrant the investigation of IA-CFD reproducibility. This study aims to explore sources of intra-team variability and determine its impact on the aneurysm morphology and CFD parameters. A team of four operators were given six sets of magnetic resonance angiography data spanning a decade from one patient with a middle cerebral aneurysm. All operators were given the same protocol and software for model reconstruction and numerical analysis. The morphology and haemodynamics of the operator models were then compared. The segmentation, smoothing factor, inlet and outflow branch lengths were found to cause intra-team variability. There was 80% reproducibility in the time-averaged wall shear stress distribution among operators with the major difference attributed to the level of smoothing. Based on these findings, it was concluded that the clinical applicability of CFD simulations may be feasible if a standardised segmentation protocol is developed. Moreover, when analysing the aneurysm shape change over a decade, it was noted that the co-existence of positive and negative values of the wall shear stress divergence (WSSD) contributed to the growth of a daughter sac. |
| first_indexed | 2024-04-11T00:23:10Z |
| format | Article |
| id | doaj.art-a2b050c2037a4ba983dcd1ee08ec2f9e |
| institution | Directory Open Access Journal |
| issn | 2045-2322 |
| language | English |
| last_indexed | 2024-04-11T00:23:10Z |
| publishDate | 2023-01-01 |
| publisher | Nature Portfolio |
| record_format | Article |
| series | Scientific Reports |
| spelling | doaj.art-a2b050c2037a4ba983dcd1ee08ec2f9e2023-01-08T12:12:28ZengNature PortfolioScientific Reports2045-23222023-01-0113111210.1038/s41598-022-27354-wReproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decadePhani Kumari Paritala0Haveena Anbananthan1Jacob Hautaniemi2Macauley Smith3Antony George4Mark Allenby5Jessica Benitez Mendieta6Jiaqiu Wang7Liam Maclachlan8EeShern Liang9Marita Prior10Prasad K. D. V. Yarlagadda11Craig Winter12Zhiyong Li13School of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of TechnologySchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of TechnologySchool of Mathematical Sciences, Queensland University of TechnologySchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of TechnologySchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of TechnologySchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of TechnologySchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of TechnologySchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of TechnologyThe Kenneth G Jamieson Department of Neurosurgery, Royal Brisbane and Women’s HospitalThe Kenneth G Jamieson Department of Neurosurgery, Royal Brisbane and Women’s HospitalDepartment of Medical Imaging, Royal Brisbane and Women’s HospitalSchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of TechnologyThe Kenneth G Jamieson Department of Neurosurgery, Royal Brisbane and Women’s HospitalSchool of Mechanical, Medical and Process Engineering, Faculty of Engineering, Queensland University of TechnologyAbstract Computational fluid dynamics (CFD) simulations are increasingly utilised to evaluate intracranial aneurysm (IA) haemodynamics to aid in the prediction of morphological changes and rupture risk. However, these models vary and differences in published results warrant the investigation of IA-CFD reproducibility. This study aims to explore sources of intra-team variability and determine its impact on the aneurysm morphology and CFD parameters. A team of four operators were given six sets of magnetic resonance angiography data spanning a decade from one patient with a middle cerebral aneurysm. All operators were given the same protocol and software for model reconstruction and numerical analysis. The morphology and haemodynamics of the operator models were then compared. The segmentation, smoothing factor, inlet and outflow branch lengths were found to cause intra-team variability. There was 80% reproducibility in the time-averaged wall shear stress distribution among operators with the major difference attributed to the level of smoothing. Based on these findings, it was concluded that the clinical applicability of CFD simulations may be feasible if a standardised segmentation protocol is developed. Moreover, when analysing the aneurysm shape change over a decade, it was noted that the co-existence of positive and negative values of the wall shear stress divergence (WSSD) contributed to the growth of a daughter sac.https://doi.org/10.1038/s41598-022-27354-w |
| spellingShingle | Phani Kumari Paritala Haveena Anbananthan Jacob Hautaniemi Macauley Smith Antony George Mark Allenby Jessica Benitez Mendieta Jiaqiu Wang Liam Maclachlan EeShern Liang Marita Prior Prasad K. D. V. Yarlagadda Craig Winter Zhiyong Li Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade Scientific Reports |
| title | Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade |
| title_full | Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade |
| title_fullStr | Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade |
| title_full_unstemmed | Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade |
| title_short | Reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade |
| title_sort | reproducibility of the computational fluid dynamic analysis of a cerebral aneurysm monitored over a decade |
| url | https://doi.org/10.1038/s41598-022-27354-w |
| work_keys_str_mv | AT phanikumariparitala reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade AT haveenaanbananthan reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade AT jacobhautaniemi reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade AT macauleysmith reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade AT antonygeorge reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade AT markallenby reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade AT jessicabenitezmendieta reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade AT jiaqiuwang reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade AT liammaclachlan reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade AT eeshernliang reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade AT maritaprior reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade AT prasadkdvyarlagadda reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade AT craigwinter reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade AT zhiyongli reproducibilityofthecomputationalfluiddynamicanalysisofacerebralaneurysmmonitoredoveradecade |