ArticleScientific reports2026
Geometry quantification for growth assessment of abdominal aortic aneurysms under surveillance.
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.
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.
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.
Who cites it
1 citing paper in PubMed.
- Forecasting Patient-Specific Abdominal Aortic Aneurysm Geometry with Mixed-Effects Models.Diagnostics (Basel, Switzerland) · 2026Article
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
9 authors.
Funding
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
Identifiers
What OpenQuestion holds
Registered trials
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.