ReviewDiagnostics (Basel, Switzerland)2023
Radiomics in Cardiac Computed Tomography.
Review in Diagnostics (Basel, Switzerland), 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 15 papers.
What it found
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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
15 citing papers in PubMed, 18 citations in OpenAlex.
- Preoperative CT-based radiomics of suprapancreatic adipose tissue for predicting high-difficulty lymph node dissection in gastric cancer.Abdominal radiology (New York) · 2026Article
- Analysis of Myocardial Textures in Relation to Nicotine Abuse Using Radiomics in Cardiac PCCT.Tomography (Ann Arbor, Mich.) · 2026Article
- Decoding the Heart Through Computed Tomography: Early Cardiomyopathy Detection Using Ensemble-Based Segmentation and Radiomics.Journal of imaging · 2026Article
- Cardiac CT for personalized phenotyping in stable coronary artery disease: toward precision medicine.BJR open · 2026Review
- The value of diagnosing coronary slow flow based on epicardial adipose tissue radiomics in chest computed tomography.BMC medical imaging · 2025Article
- Comparisons among radiologist, MR findings and radiomics-clinical models in predicting placenta accreta spectrum disorders: a multicenter study.Archives of gynecology and obstetrics · 2025Article
- Deep learning radiomics of left atrial appendage features for predicting atrial fibrillation recurrence.BMC medical imaging · 2025Article
- Reproducibility ofCurrent cardiology reports · 2025Review
- Detecting severe coronary artery stenosis in T2DM patients with NAFLD using cardiac fat radiomics-based machine learning.Scientific reports · 2025Article
- Myocardial perfusion SPECT radiomic features reproducibility assessment: Impact of image reconstruction and harmonization.Medical physics · 2025Article
- Intraindividual reproducibility of myocardial radiomic features between energy-integrating detector and photon-counting detector CT angiography.European radiology experimental · 2024Article
- Analysis of Epicardial Adipose Tissue Texture in Relation to Coronary Artery Calcification in PCCT: The EAT Signature!Diagnostics (Basel, Switzerland) · 2024Article
- Review
- Pericoronary Adipose Tissue Radiomics from Coronary Computed Tomography Angiography Identifies Vulnerable Plaques.Bioengineering (Basel, Switzerland) · 2023Article
- Enhancing coronary artery plaque analysis via artificial intelligence-driven cardiovascular computed tomography.Therapeutic advances in cardiovascular diseaseReview
Corrections and comments
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Authors and funding
5 authors at 1 institution in 1 country.
Funding
Abstract
In recent years, there has been an increasing recognition of coronary computed tomographic angiography (CCTA) and gated non-contrast cardiac CT in the workup of coronary artery disease in patients with low and intermediate pretest probability, through the readjustment guidelines by medical societies. However, in routine clinical practice, these CT data sets are usually evaluated dominantly regarding relevant coronary artery stenosis and calcification. The implementation of radiomics analysis, which provides visually elusive quantitative information from digital images, has the potential to open a new era for cardiac CT that goes far beyond mere stenosis or calcification grade estimation. This review offers an overview of the results obtained from radiomics analyses in cardiac CT, including the evaluation of coronary plaques, pericoronary adipose tissue, and the myocardium itself. It also highlights the advantages and disadvantages of use in routine clinical practice.
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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.