ArticleRadiology2021
Contribution of Risk Factors to the Development of Coronary Atherosclerosis as Confirmed via Coronary CT Angiography: A Longitudinal Radiomics-based Study.
Article in Radiology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 19 papers.
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
19 citing papers in PubMed, 42 citations in OpenAlex.
- Coronary Plaque Radiomic Phenotypes Predict Fatal or Nonfatal Myocardial Infarction: Analysis of the SCOT-HEART Trial.JACC. Cardiovascular imaging · 2025Trial
- Cancer classification with radiomics in controlled preclinical models.Scientific reports · 2026Article
- Multimodal prediction of major adverse cardiovascular events in hypertensive patients with coronary artery disease: integrating pericoronary fat radiomics, CT-FFR, and clinicoradiological features.La Radiologia medica · 2025Article
- Immune Dysregulation in Ischemic Heart Disease Among Individuals with Human Immunodeficiency Virus.Heart failure clinics · 2025Review
- Impact of technical, patient-related and measurement variables on serial Hounsfield unit-based quantitative coronary plaque analysis in computed tomography: time for a new chapter.European heart journal. Imaging methods and practice · 2025Review
- Pericoronary adipose tissue feature analysis in computed tomography calcium score images in comparison to coronary computed tomography angiography.Journal of medical imaging (Bellingham, Wash.) · 2025Article
- Plaque Characteristics Derived from Intravascular Optical Coherence Tomography That Predict Cardiovascular Death.Bioengineering (Basel, Switzerland) · 2024Article
- Protocol and rationale of the Australian multicentre registry for serial cardiac computed tomography angiography (ARISTOCRAT): a prospective observational study of the natural history of pericoronary adipose tissue attenuation and radiomics.Cardiovascular diagnosis and therapy · 2024Article
- Impact of virtual monoenergetic levels on coronary plaque volume components using photon-counting computed tomography.European radiology · 2023Article
- Imaging Early Life Cardiovascular Phenotype.Circulation research · 2023Review
- Radiomics features of pericoronary adipose tissue improve CT-FFR performance in predicting hemodynamically significant coronary artery stenosis.European radiology · 2023Article
- Classification of high-risk coronary plaques using radiomic analysis of multi-energy photon-counting-detector computed tomography (PCD-CT) images.Proceedings of SPIE--the International Society for Optical Engineering · 2023Article
- Artificial intelligence in coronary computed tomography angiography: Demands and solutions from a clinical perspective.Frontiers in cardiovascular medicine · 2023Review
- Temporal assessment of lesion morphology on radiological images beyond lesion volumes-a proof-of-principle study.European radiology · 2022Article
- CAD-RADS may underestimate coronary plaque progression as detected by serial CT angiography.European heart journal. Cardiovascular Imaging · 2022Article
- Radiomics-Based Precision Phenotyping Identifies Unstable Coronary Plaques From Computed Tomography Angiography.JACC. Cardiovascular imaging · 2022Article
- Editorial: Radiomics in Cardiovascular Imaging.Frontiers in cardiovascular medicine · 2022Article
- Deep Learning With Radiomics for Disease Diagnosis and Treatment: Challenges and Potential.Frontiers in oncology · 2022Review
- Cardiac Computed Tomography Radiomics for the Non-Invasive Assessment of Coronary Inflammation.Cells · 2021Review
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Authors and funding
10 authors at 1 institution in 2 countries.
Funding
Abstract
Background Various cardiovascular risk factors are thought to modify atherosclerosis in a similar fashion (ie, by increasing the magnitude of coronary artery disease [CAD]). However, coronary CT angiography allows precision phenotyping of plaque characteristics through use of radiomics. Purpose To assess whether different cardiovascular risk factors have distinctive contributions to the changes in plaque morphologic features over time. Materials and Methods Individuals with or without HIV infection and cocaine use and without cardiovascular symptoms underwent coronary CT angiography between May 2004 and August 2015. In the current HIPAA-compliant study, the effects of cocaine use, HIV infection, and atherosclerotic cardiovascular disease (ASCVD) risk on the temporal changes (mean ± standard deviation, 4.0 years ± 2.3 between CT angiographic examinations) in CAD structure were analyzed by using radiomic analysis. The changes in radiomic features were analyzed by using linear mixed models, with correction for factors that may change plaque structure: high-sensitivity C-reactive protein level, statin use, positive family history of CAD, and total plaque volume to account for any potential intrinsic correlation between volume and morphologic features. Clusters among significant radiomic features were identified by using hierarchical clustering. Bonferroni-corrected
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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 Socratic graph.