Using computational modeling and four-dimensional computed tomography to predict type II endoleaks

The persistent type II endoleak is a thorn in the side of many a vascular surgeon, largely due to a natural history ranging from continued aneurysmal growth to resolution with sac shrinkage.1 As with many vascular pathologies, the complexities surrounding endoleak detection, progression and management begins with imaging.

Authors

Institutions

Publication Details

Journal
JVS Vascular Science
Published
2025-01-01
DOI
https://doi.org/10.1016/j.jvssci.2025.100292
Primary Topic
Aortic aneurysm repair treatments
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Using computational modeling and four-dimensional computed tomography to predict type II endoleaks

Alan Dardik, Leah M. Gober
JVS Vascular Science
Aortic aneurysm repair treatments
article

Using computational modeling and four-dimensional computed tomography to predict type II endoleaks

Alan Dardik, Leah M. Gober
article en

Abstract

The persistent type II endoleak is a thorn in the side of many a vascular surgeon, largely due to a natural history ranging from continued aneurysmal growth to resolution with sac shrinkage.1 As with many vascular pathologies, the complexities surrounding endoleak detection, progression and management begins with imaging.

JVS Vascular ScienceVol. 6
University of Wisconsin–Madison (US), Yale University (US), Icahn School of Medicine at Mount Sinai (US)
Openalex Percentile: Top 81%
Aortic aneurysm repair treatments
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.