Flow Diversion vs. Coiling for Large and Giant Intracranial Aneurysms: A Systematic Review and Meta-Analysis
Abstract
1. Introduction
2. Materials and Methods
2.1. Literature Review Design
2.2. Search Strategy
2.3. Eligibility Criteria
2.4. Data Extraction
2.5. Risk of Bias Assessment
2.6. Statistical Analysis
3. Results
3.1. Study Selection
3.2. Study and Patient Characteristics
3.3. Aneurysm Characteristics
3.4. Risk of Bias
3.5. Angiographic Outcomes
3.6. Clinical Outcomes
3.7. Procedure-Related Mortality
3.8. Recurrence Rate
3.9. Delayed Rupture
3.10. Total Major Complications
3.11. Ischemic Complications
3.12. Hemorrhagic Complications
4. Discussion
4.1. Efficacy and Occlusion Outcomes
4.2. Clinical Outcomes and Mortality
4.3. Aneurysm Recurrence
4.4. Complication Profile
4.5. Clinical and Research Implications
4.6. Limitations
4.7. Future Directions
5. Conclusions
Supplementary Materials
Author Contributions
Funding
Institutional Review Board Statement
Informed Consent Statement
Data Availability Statement
Conflicts of Interest
Abbreviations
| ACA | Anterior Cerebral Artery |
| Acomm | Anterior Communicating Artery |
| BA | Basilar Artery |
| CI | Confidence Interval |
| FD | Flow Diversion |
| IAs | Intracranial Aneurysms |
| ICA | Internal Carotid Artery |
| MCA | Middle Cerebral Artery |
| mRS | Modified Rankin Scale |
| OKM | O’Kelly-Marotta grading scale |
| OR | Odds ratio |
| PCA | Posterior Cerebral Artery |
| Pcom | Posterior Communicating Artery |
| PRISMA | Preferred Reporting Items for Systematic Reviews and Meta-Analyses |
| RCT | Randomized Controlled Trial |
| RoB | Risk of Bias |
| ROBINS | Risk of Bias in Non-randomized Studies of Interventions |
| RROC | Raymond-Roy Occlusion Classification |
| SE | Standard Error |
| VA | Vertebral Artery |
| VBJ | Vertebrobasilar Junction |
| WoS | Web of Science |
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| Study | Procedure | Total Patients, N | Patients with Angiographic Follow-Up, N (%) | Mean Angiographic Follow-Up, Months ± SD |
|---|---|---|---|---|
| Yoshioka et al. 2025 [14] | FD | 173 | 173 (100%) | 16.7 ± 11.8 |
| Coiling | 164 | 164 (100%) | 32.0 ± 19.6 | |
| Wu et al. 2022 [15] | FD | 24 | 18 (75%) | 6.5 |
| Coiling | 42 | 28 (66.7%) | 10.5 | |
| Li et al. 2020 [16] | FD | 8 | 8 (100%) | 6.9 ± 4.0 |
| Coiling | 10 | 5 (50%) | 6.9 ± 4.0 | |
| Liu et al. 2018 [17] | FD | 82 | 73 (89%) | 6 |
| Coiling | 62 | 53 (85.5%) | 6 | |
| Chalouhi et al. 2013 [18] | FD | 40 | 35 (87.5%) | 7 |
| Coiling | 120 | 90 (75%) | 12 | |
| Wu et al. 2023 [19] | FD | 13 | 9 (69.2%) | - |
| Coiling | 21 | 12 (57.1%) | - | |
| Miyachi et al. 2017 [20] | FD | 9 | 9 (100%) | 6 |
| Coiling | 18 | 18 (100%) | 6 | |
| Lee. et al. 2022a [21] | FD | 49 | 45 (91.8%) | 30.3 ± 18.7 |
| Coiling | 30 | 28 (93.3%) | 40.8 ± 25.6 | |
| Linfante et al. 2020 [22] | FD | 28 | 22 (78.6%) | - |
| Coiling | 14 | 10 (71.4%) | - | |
| Kan et al. 2023 [23] | FD | 38 | 36 (94.7%) | 12 |
| Abdelkhalek et al. 2022 [24] | FD | 65 | 60 (92.3%) | 12 ± 8.6 |
| Lee et al. 2022b [25] | FD | 12 | 10 (83.3%) | 6 |
| Fujii et al. 2022 [26] | FD | 84 | 71 (84.5%) | 36 |
| Jee et al. 2021 [27] | FD | 35 | - | - |
| Bae et al. 2021 [28] | FD | 51 | 51 (100%) | 19.1 |
| Jia et al. 2020 [29] | FD | 7 | 7 (100%) | 57.5 ± 16.7 |
| Wang et al. 2019 [30] | FD | 22 | 21 (95.5%) | 12.2 ± 0.7 |
| Oishi et al. 2018 [31] | FD | 94 | 86 (91.4%) | 10.2 ± 5.6 |
| Peschillo et al. 2017 [32] | FD | 44 | 41 (93.1%) | 20.7 |
| Puffer et al. 2014 [33] | FD | 44 | 36 (81.8%) | 10.9 |
| Moon et al. 2023 [34] | FD | 53 | 53 (100%) | 12 |
| Zhou et al. 2014 [35] | FD | 28 | 25 (89.3%) | 9.9 |
| John et al. 2016 [36] | FD | 12 | 10 (83.3%) | 18.2 |
| Choi et al. 2022 [37] | FD | 33 | 33 (100%) | 9.4 ± 6.8 |
| Sahlein et al. 2015 [38] | FD | 98 | 98 (100%) | 6 |
| Grandhi et al. 2024 [39] | FD | 63 | 50 (79.4%) | 9.1 ± 6.5 |
| Li et al. 2022 [40] | FD | 14 | 12 (85.7%) | 18 |
| Osada et al. 2025 [41] | FD | 11 | 11 (100%) | 12 |
| Kawamura et al. 2024 [42] | FD | 22 | 22 (100%) | 29.6 |
| Huh et al. 2018 [43] | Coiling | 24 | 16 (66.7%) | 27.2 |
| Gao et al. 2012 [44] | Coiling | 102 | 79 (77.5%) | 38.1 |
| Mu et al. 2016 [45] | Coiling | 11 | 9 (81.8%) | 28.7 |
| Kim et al. 2000 [46] | Coiling | 19 | 15 (78.9%) | 11.9 |
| Study | Procedure | Total Aneurysms, N | Large (≥10 mm) | Giant (≥25 mm) | Mean Size, mm | Unruptured, N (%) | Ruptured, N (%) |
|---|---|---|---|---|---|---|---|
| Yoshioka et al. 2025 [14] | FD | 178 | 139 (78.1%) | 39 (21.9%) | 22.0 | - | - |
| Coiling | 165 | 155 (93.9%) | 10 (6.10%) | 15.8 | - | - | |
| Wu et al. 2022 [15] | FD | 24 | 24 (100%) | 0 (0.00%) | 13.3 | 24 (100%) | 0 (0.00%) |
| Coiling | 42 | 42 (100%) | 0 (0.00%) | 13.2 | 30 (71.4%) | 12 (28.6%) | |
| Li et al. 2020 [16] | FD | 8 | 0 (0.00%) | 8 (100%) | 26.9 | 8 (100%) | 0 (0.00%) |
| Coiling | 10 | 0 (0.00%) | 10 (100%) | 31.3 | 10 (100%) | 0 (0.00%) | |
| Liu et al. 2018 [17] | FD | 82 | - | - | 18.0 | 82 (100%) | 0 (0.00%) |
| Coiling | 62 | - | - | 17.1 | 62 (100%) | 0 (0.00%) | |
| Chalouhi et al. 2013 [18] | FD | 40 | - | - | 14.9 | 40 (100%) | 0 (0.00%) |
| Coiling | 120 | - | - | 14.9 | 120 (100%) | 0 (0.00%) | |
| Wu et al. 2023 [19] | FD | - | - | - | - | - | - |
| Coiling | - | - | - | - | - | - | |
| Miyachi et al. 2017 [20] | FD | 9 | 8 (88.9%) | 1 (11.1%) | 16.6 | 9 (100%) | 0 (0.00%) |
| Coiling | 18 | 17 (94.4%) | 1 (6.60%) | 14.6 | 18 (100%) | 0 (0.00%) | |
| Lee et al. 2022a [21] | FD | 49 | 37 (75.5%) | 12 (24.5%) | 22.0 | 49 (100%) | 0 (0.00%) |
| Coiling | 30 | 29 (96.7%) | 1 (3.30%) | 18.3 | 30 (100%) | 0 (0.00%) | |
| Linfante et al. 2020 [22] | FD | - | - | - | - | - | - |
| Coiling | - | - | - | - | - | - | |
| Kan et al. 2023 [23] | FD | 38 | 38 (100%) | 0 (0.00%) | 12.2 | - | - |
| Abdelkhalek et al. 2022 [24] | FD | 65 | 50 (76.9%) | 15 (23.1%) | 16.4 | 65 (100%) | 0 (0.00%) |
| Lee et al. 2022b [25] | FD | 12 | 12 (100%) | 0 (0.00%) | 15.9 | 12 (100%) | 0 (0.00%) |
| Fujii et al. 2022 [26] | FD | 90 | - | - | 16.6 | 90 (100%) | 0 (0.00%) |
| Jee et al. 2021 [27] | FD | 35 | 24 (68.6%) | 11 (31.4%) | 18.3 | 35 (100%) | 0 (0.00%) |
| Bae et al. 2021 [28] | FD | 51 | - | - | 21.9 | 51 (100%) | 0 (0.00%) |
| Jia et al. 2020 [29] | FD | 7 | 7 (100%) | 0 (0.00%) | - | 7 (100%) | 0 (0.00%) |
| Wang et al. 2019 [30] | FD | 22 | 11 (50.0%) | 11 (50.0%) | 24.5 | 22 (100%) | 0 (0.00%) |
| Oishi et al. 2018 [31] | FD | 100 | - | - | 16.9 | 100 (100%) | 0 (0.00%) |
| Peschillo et al. 2017 [32] | FD | 44 | 37 (84.1%) | 7 (15.9%) | - | 40 (90.9%) | 4 (9.10%) |
| Puffer et al. 2014 [33] | FD | 44 | 23 (52.3%) | 21 (47.7%) | 20.9 | - | - |
| Moon et al. 2023 [34] | FD | 53 | - | - | 19.6 | 53 (100%) | 0 (0.00%) |
| Zhou et al. 2014 [35] | FD | 28 | 20 (71.4%) | 8 (26.6%) | 21.6 | 28 (100%) | 0 (0.00%) |
| John et al. 2016 [36] | FD | 12 | 6 (50.0%) | 6 (50.0%) | 27.6 | 12 (100%) | 0 (0.00%) |
| Choi et al. 2022 [37] | FD | 33 | 6 (18.2%) | 27 (81.8%) | 19.5 | 33 (100%) | 0 (0.00%) |
| Sahlein et al. 2015 [38] | FD | 98 | - | - | 14.7 | 98 (100%) | 0 (0.00%) |
| Grandhi et al. 2024 [39] | FD | 63 | 0 (0.00%) | 63 (100%) | 29.0 | 61 (96.8%) | 2 (3.20%) |
| Li et al. 2022 [40] | FD | 14 | 14 (100%) | 0 (0.00%) | 17.0 | 14 (100%) | 0 (0.00%) |
| Osada et al. 2025 [41] | FD | 11 | 9 (81.8%) | 2 (18.2%) | 20.4 | 11 (100%) | 0 (0.00%) |
| Kawamura et al. 2024 [42] | FD | 22 | - | - | 18.4 | 22 (100%) | 0 (0.00%) |
| Huh et al. 2018 [43] | Coiling | 24 | 11 (45.8%) | 13 (54.2%) | 26 | 15 (62.5%) | 9 (37.5%) |
| Gao et al. 2012 [44] | Coiling | 106 | 75 (70.8%) | 31 (29.2%) | 17.2 | 41 (38.7%) | 65 (61.3%) |
| Mu et al. 2016 [45] | Coiling | 11 | - | - | - | - | - |
| Kim et al. 2000 [46] | Coiling | 19 | 14 (73.7%) | 5 (26.3%) | 18.4 | - | - |
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Scalise, M.; Di Cosmo, L.; Cossa, C.; Andreella, N.; Micieli, C.; Bendoni, S.; Stefini, R.; Cannizzaro, D. Flow Diversion vs. Coiling for Large and Giant Intracranial Aneurysms: A Systematic Review and Meta-Analysis. J. Clin. Med. 2026, 15, 1357. https://doi.org/10.3390/jcm15041357
Scalise M, Di Cosmo L, Cossa C, Andreella N, Micieli C, Bendoni S, Stefini R, Cannizzaro D. Flow Diversion vs. Coiling for Large and Giant Intracranial Aneurysms: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine. 2026; 15(4):1357. https://doi.org/10.3390/jcm15041357
Chicago/Turabian StyleScalise, Matteo, Leonardo Di Cosmo, Carlo Cossa, Nicolò Andreella, Camilla Micieli, Stefano Bendoni, Roberto Stefini, and Delia Cannizzaro. 2026. "Flow Diversion vs. Coiling for Large and Giant Intracranial Aneurysms: A Systematic Review and Meta-Analysis" Journal of Clinical Medicine 15, no. 4: 1357. https://doi.org/10.3390/jcm15041357
APA StyleScalise, M., Di Cosmo, L., Cossa, C., Andreella, N., Micieli, C., Bendoni, S., Stefini, R., & Cannizzaro, D. (2026). Flow Diversion vs. Coiling for Large and Giant Intracranial Aneurysms: A Systematic Review and Meta-Analysis. Journal of Clinical Medicine, 15(4), 1357. https://doi.org/10.3390/jcm15041357

