| Publikationstyp: | Beitrag in wissenschaftlicher Zeitschrift |
| Art der Begutachtung: | Peer review (Publikation) |
| Titel: | External validation of cerebral aneurysm rupture probability model with data from two patient cohorts |
| Autor/-in: | Detmer, Felicitas J. Fajardo-Jiménez, Daniel Mut, Fernando Juchler, Norman Hirsch, Sven Pereira, Vitor Mendes Bijlenga, Philippe Cebral, Juan R. |
| DOI: | 10.1007/s00701-018-3712-8 |
| Erschienen in: | Acta Neurochirurgica |
| Erscheinungsdatum: | 30-Okt-2018 |
| Verlag / Hrsg. Institution: | Springer |
| ISSN: | 0001-6268 0942-0940 |
| Sprache: | Englisch |
| Schlagwörter: | Cerebral aneurysm; Hemodynamics; Prediction; Risk factors; Rupture; Shape |
| Fachgebiet (DDC): | 616.8: Neurologie und Krankheiten des Nervensystems |
| Zusammenfassung: | Background: For a treatment decision of unruptured cerebral aneurysms, physicians and patients need to weigh the risk of treatment against the risk of hemorrhagic stroke caused by aneurysm rupture. The aim of this study was to externally evaluate a recently developed statistical aneurysm rupture probability model, which could potentially support such treatment decisions. Methods: Segmented image data and patient information obtained from two patient cohorts including 203 patients with 249 aneurysms were used for patient-specific computational fluid dynamics simulations and subsequent evaluation of the statistical model in terms of accuracy, discrimination, and goodness of fit. The model’s performance was further compared to a similarity-based approach for rupture assessment by identifying aneurysms in the training cohort that were similar in terms of hemodynamics and shape compared to a given aneurysm from the external cohorts. Results: When applied to the external data, the model achieved a good discrimination and goodness of fit (area under the receiver operating characteristic curve AUC = 0.82), which was only slightly reduced compared to the optimism-corrected AUC in the training population (AUC = 0.84). The accuracy metrics indicated a small decrease in accuracy compared to the training data (misclassification error of 0.24 vs. 0.21). The model’s prediction accuracy was improved when combined with the similarity approach (misclassification error of 0.14). Conclusions: The model’s performance measures indicated a good generalizability for data acquired at different clinical institutions. Combining the model-based and similarity-based approach could further improve the assessment and interpretation of new cases, demonstrating its potential use for clinical risk assessment. |
| URI: | https://digitalcollection.zhaw.ch/handle/11475/12682 |
| Volltext Version: | Publizierte Version |
| Lizenz (gemäss Verlagsvertrag): | Lizenz gemäss Verlagsvertrag |
| Departement: | Life Sciences und Facility Management |
| Organisationseinheit: | Institut für Computational Life Sciences (ICLS) |
| Publiziert im Rahmen des ZHAW-Projekts: | AneuX |
| Enthalten in den Sammlungen: | Publikationen Life Sciences und Facility Management |
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Detmer, F. J., Fajardo-Jiménez, D., Mut, F., Juchler, N., Hirsch, S., Pereira, V. M., Bijlenga, P., & Cebral, J. R. (2018). External validation of cerebral aneurysm rupture probability model with data from two patient cohorts. Acta Neurochirurgica. https://doi.org/10.1007/s00701-018-3712-8
Detmer, F.J. et al. (2018) ‘External validation of cerebral aneurysm rupture probability model with data from two patient cohorts’, Acta Neurochirurgica [Preprint]. Available at: https://doi.org/10.1007/s00701-018-3712-8.
F. J. Detmer et al., “External validation of cerebral aneurysm rupture probability model with data from two patient cohorts,” Acta Neurochirurgica, Oct. 2018, doi: 10.1007/s00701-018-3712-8.
DETMER, Felicitas J., Daniel FAJARDO-JIMÉNEZ, Fernando MUT, Norman JUCHLER, Sven HIRSCH, Vitor Mendes PEREIRA, Philippe BIJLENGA und Juan R. CEBRAL, 2018. External validation of cerebral aneurysm rupture probability model with data from two patient cohorts. Acta Neurochirurgica. 30 Oktober 2018. DOI 10.1007/s00701-018-3712-8
Detmer, Felicitas J., Daniel Fajardo-Jiménez, Fernando Mut, Norman Juchler, Sven Hirsch, Vitor Mendes Pereira, Philippe Bijlenga, and Juan R. Cebral. 2018. “External Validation of Cerebral Aneurysm Rupture Probability Model with Data from Two Patient Cohorts.” Acta Neurochirurgica, October. https://doi.org/10.1007/s00701-018-3712-8.
Detmer, Felicitas J., et al. “External Validation of Cerebral Aneurysm Rupture Probability Model with Data from Two Patient Cohorts.” Acta Neurochirurgica, Oct. 2018, https://doi.org/10.1007/s00701-018-3712-8.
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