Evidence map›Paper›PMID 41803225›Full record

ArticleScientific reports2026

Geometry quantification for growth assessment of abdominal aortic aneurysms under surveillance.

Juan C Restrepo, Pratik Mitra, Haehwan Park, Seungik Baek, Victor De Oliveira, Satish C Muluk, Mark K Eskandari, Vikram S Kashyap, Ender A Finol

Abstract read
In one paragraph

Article in Scientific reports, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

9 authors.

Juan C Restrepo *Department of Mechanical, Aerospace, and Industrial Engineering, The University of Texas at San Antonio, San Antonio, TX, 78249, USA.
Pratik Mitra *Department of Mechanical, Aerospace, and Industrial Engineering, The University of Texas at San Antonio, San Antonio, TX, 78249, USA.
Haehwan ParkLG Electronics, Gasan Research and Development Campus, Seoul, 08592, South Korea.
Seungik BaekDepartment of Mechanical Engineering, Michigan State University, East Lansing, MI, 48824, USA.
Victor De OliveiraDepartment of Statistics and Data Science, The University of Texas at San Antonio, San Antonio, TX, 78249, USA.
Satish C MulukDepartment of Thoracic and Cardiovascular Surgery, Allegheny Health Network, Allegheny General Hospital, Pittsburgh, PA, 15212, USA.
Mark K EskandariFeinberg School of Medicine, Northwestern University, Chicago, IL, 60611, USA.
Vikram S KashyapCardiovascular Health, Corewell Health, Grand Rapids, MI, 49503, USA.
Ender A FinolDepartment of Mechanical, Aerospace, and Industrial Engineering, The University of Texas at San Antonio, San Antonio, TX, 78249, USA. ender.finol@utsa.edu.

Funding

A NONLINEAR MEMBRANE BASED ANALYSIS FOR ESTIMATING THE RUPTURE POTENTIAL OF ABDOMINAL AORTIC ANEURYSMSR01HL159300 · NHLBI · UNIVERSITY OF TEXAS SAN ANTONIO · PI FINOL, ENDER A · 2021 to 2024
$2.0M
NHLBI NIH HHS R01 HL159300NIH HHS R01HL159300
6 · The paper itself

Abstract

Abdominal Aortic Aneurysms (AAAs) are localized expansions of the abdominal aorta with complex growth patterns, which offer challenges in accurately characterizing aneurysm growth and morphological evolution using traditional maximum diameter [Formula: see text] assessments. Alternative geometric indices and advanced modeling techniques have emerged to address the limitations inherent to diameter-based metrics. The objective of the present work is to elucidate AAA growth dynamics by comparing linear and exponential growth models and examining their correlations with changes in a geometry-driven rupture proxy index (GDRPI), emphasizing additional geometric indices beyond [Formula: see text]. In a cohort of 40 patients, exponential models exhibited strong correlations with multiple geometric indices, with aneurysm volume (V) and thrombus-related indices demonstrating high predictive relevance. Thrombus-related indices strongly correlated with the maximum value of GDRPI, highlighting their potential utility as supplementary surveillance markers. Growth trajectories showed substantial inter-patient variability; aneurysms with mean volumes exceeding 75 [Formula: see text] predominantly followed linear growth, while smaller aneurysms with mean volumes of 50 [Formula: see text] displayed ambiguous growth patterns. Mixed effects techniques significantly improved growth prediction accuracy (mean [Formula: see text] for linear growth models and [Formula: see text] for exponential growth models). Although linear models slightly outperformed exponential models, both effectively described patient-specific AAA progression when used with mixed effects techniques. Integrating thrombus-related indices and mixed effects growth modeling offers a promising pathway for enhanced geometric characterization of AAAs under surveillance, potentially improving longitudinal growth assessment and individual monitoring strategies.

Indexed as

Aorta, AbdominalAortic Aneurysm, AbdominalAgedAortic RuptureDisease ProgressionFemaleHumansMaleAbdominal Aortic AneurysmsGeometry-conditioned wall stressGeometry-driven rupture proxy indexGrowthMixed effects models

Identifiers

PMID41803225
PMCPMC13096146

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
Read underepoch 390

Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.