Predictive Accuracy and Procedural Benefits of Software-Enhanced Flow-Diverter Planning: A Systematic Review and Meta-analysis

BACKGROUND: Flow-diverting (FD) stents play a critical role in the management of complex intracranial aneurysms. Successful FD stent deployment requires precise planning to minimize peri- and post-procedural complications. This traditionally relied on physician expertise for precise planning; however, software simulations now offer estimative modeling. PURPOSE: This systematic review and meta-analysis compares physician and software simulations for predicting stent deployment and assesses the clinical impact of software integration on procedural metrics. DATA SOURCES: We searched PubMed, Embase, Web of Science, and Scopus (articles through July 18, 2025) using Nested Knowledge Autolit. The search combined MeSH terms and keywords, and followed updated PRISMA guidelines. A manual review of the references identified grey literature. STUDY SELECTION: Fourteen studies were included. All studies that involved comparative data, a physician and software/simulation tool, regarding intracranial aneurysms with outcomes relating to accuracy metrics, interobserver agreement or apposition, or procedural metrics were included. DATA ANALYSIS: All data were analyzed using R, version 4.5.2, and the 'meta' package. Risk-of-bias assessment was completed using ROBINS-I tool for procedural metric-related studies and COSMIN-based checklist for accuracy/agreement-related studies. DATA SYNTHESIS: The pooled analysis found software predicted stent length to be shorter than the physicians' predicted length (MD 2.88 mm; [1.25, 4.51]), without significant statistical difference in diameter (MD 0.0 mm; [-0.09, 0.09]); software-chosen dimensions are accurate to the post-implantation length (MD -1.40 mm; [-3.56, 0.76]) and diameter (MD 0.17 mm; [-0.63, 0.97]); software-assisted cases were associated with shorter procedure duration (MD 9.91 min; [1.23, 18.58]), lower radiation dose (MD 305.52 mGy; [172.14, 438.90]), and fewer corrective interventions (OR 3.44; [1.78, 6.64]); and no significant difference in hemorrhagic complications (OR 1.67; [0.65, 4.28]) and postoperative aneurysm occlusion (OR 0.52, [0.07, 3.78]). LIMITATIONS: Given the retrospective nature and bias limitations of current literature, further prospective, randomized studies are warranted to better assess the clinical impact of simulation software in the endovascular treatment of intracranial aneurysms. CONCLUSIONS: The findings in this paper provide preliminary evidence to support integration of virtual simulation software in the preprocedural FD treatment planning.

Authors

Institutions

Publication Details

Journal
American Journal of Neuroradiology
Published
2026-03-31
DOI
https://doi.org/10.3174/ajnr.a9325
Primary Topic
Mechanical Circulatory Support Devices
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Predictive Accuracy and Procedural Benefits of Software-Enhanced Flow-Diverter Planning: A Systematic Review and Meta-analysis

Ramanathan Kadirvel, Samantha Weston, Dani Douri, Abdullah Reda et al.
American Journal of Neuroradiology
Mechanical Circulatory Support Devices
article

Predictive Accuracy and Procedural Benefits of Software-Enhanced Flow-Diverter Planning: A Systematic Review and Meta-analysis

Ramanathan Kadirvel, Samantha Weston, Dani Douri, Abdullah Reda, Claire M. Westby, Mark Rohleder, P. Panales, B. Savant, Bailey Riehl, Zachary Bueling, Sherief Ghozy, David F. Kallmes
article en

Abstract

BACKGROUND: Flow-diverting (FD) stents play a critical role in the management of complex intracranial aneurysms. Successful FD stent deployment requires precise planning to minimize peri- and post-procedural complications. This traditionally relied on physician expertise for precise planning; however, software simulations now offer estimative modeling. PURPOSE: This systematic review and meta-analysis compares physician and software simulations for predicting stent deployment and assesses the clinical impact of software integration on procedural metrics. DATA SOURCES: We searched PubMed, Embase, Web of Science, and Scopus (articles through July 18, 2025) using Nested Knowledge Autolit. The search combined MeSH terms and keywords, and followed updated PRISMA guidelines. A manual review of the references identified grey literature. STUDY SELECTION: Fourteen studies were included. All studies that involved comparative data, a physician and software/simulation tool, regarding intracranial aneurysms with outcomes relating to accuracy metrics, interobserver agreement or apposition, or procedural metrics were included. DATA ANALYSIS: All data were analyzed using R, version 4.5.2, and the 'meta' package. Risk-of-bias assessment was completed using ROBINS-I tool for procedural metric-related studies and COSMIN-based checklist for accuracy/agreement-related studies. DATA SYNTHESIS: The pooled analysis found software predicted stent length to be shorter than the physicians' predicted length (MD 2.88 mm; [1.25, 4.51]), without significant statistical difference in diameter (MD 0.0 mm; [-0.09, 0.09]); software-chosen dimensions are accurate to the post-implantation length (MD -1.40 mm; [-3.56, 0.76]) and diameter (MD 0.17 mm; [-0.63, 0.97]); software-assisted cases were associated with shorter procedure duration (MD 9.91 min; [1.23, 18.58]), lower radiation dose (MD 305.52 mGy; [172.14, 438.90]), and fewer corrective interventions (OR 3.44; [1.78, 6.64]); and no significant difference in hemorrhagic complications (OR 1.67; [0.65, 4.28]) and postoperative aneurysm occlusion (OR 0.52, [0.07, 3.78]). LIMITATIONS: Given the retrospective nature and bias limitations of current literature, further prospective, randomized studies are warranted to better assess the clinical impact of simulation software in the endovascular treatment of intracranial aneurysms. CONCLUSIONS: The findings in this paper provide preliminary evidence to support integration of virtual simulation software in the preprocedural FD treatment planning.

American Journal of Neuroradiology
Mayo Clinic (US)
Openalex Percentile: Top 35%
Mechanical Circulatory Support Devices
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.