ArticleThe international journal of cardiovascular imaging2021
Use of radiomics to differentiate left atrial appendage thrombi and mixing artifacts on single-phase CT angiography.
Article in The international journal of cardiovascular imaging, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers.
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Who cites it
8 citing papers in PubMed, 10 citations in OpenAlex.
- A Transient Left Atrial Appendage Filling Defect During Anticoagulation Interruption After Ischemic Stroke with Progressive Hemorrhagic Transformation: A Case Report.Reports (MDPI) · 2026Article
- Development and Validation of a Coronary Computed Tomography Angiography-Based Radiomics-Integrated Model for Noninvasive Detection of Left Atrial Appendage Thrombus in Atrial Fibrillation.Journal of the American Heart Association · 2026Article
- CT-based radiomics to predict peri-device leakage after left atrial appendage closure.BMC medical imaging · 2026Article
- CFD-derived radiomics from hemodynamic maps for quantitative assessment of left atrial flow in atrial fibrillation: a proof-of-concept study.Frontiers in cardiovascular medicine · 2026Article
- Radiomics prediction models of left atrial appendage hypercoagulability based on machine learning algorithms: an exploration about cardiac computed tomography angiography imaging.The international journal of cardiovascular imaging · 2024Article
- Radiomics Based on Single-Phase CTA for Distinguishing Left Atrial Appendage Thrombus from Circulatory Stasis in Patients with Atrial Fibrillation before Ablation.Diagnostics (Basel, Switzerland) · 2023Article
- Article
- State of the art paper: Cardiac computed tomography of the left atrium in atrial fibrillation.Journal of cardiovascular computed tomographyReview
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7 authors at 4 institutions in 2 countries.
Funding
No grant is acknowledged in the PubMed record.
Abstract
To assess if radiomics can differentiate left atrial appendage (LAA) contrast-mixing artifacts and thrombi on early-phase CT angiography without the need for late-phase images. Our study included 111 patients who underwent early- and late-phase, contrast-enhanced cardiac CT. Of these, 79 patients had LAA filling defects from thrombus (n = 46, mean age: 72 ± 12 years, M:F 26:20) or contrast-mixing artifact (n = 33, mean age: 71 ± 13 years, M:F 21:12) on early-contrast-enhanced phase. The remaining 32 patients (mean age: 66 ± 10 years, M:F 19:13) had homogeneous LAA opacification without filling defects. The entire LAA volume on early-phase CT images was manually segmented to obtain radiomic features (Frontier, Siemens). A radiologist assessed for the presence of LAA filling defects and recorded the size and mean CT attenuation (HU) of filling defects and normal LAA. The data were analyzed using multiple logistic regression with receiver operating characteristics area under the curve (AUC) as an output. The radiologist correctly identified all 32 patients without LAA filling defects, 42/46 LAA with thrombi, and 23/33 contrast mixing artifacts. Although HU of LAA thrombi and contrast mixing artifacts was significantly different, with the lowest AUC (0.66), it was inferior to both radiologist assessment and radiomics (p = 0.05). Combination of radiologist assessment and radiomics (AUC 0.92) was superior to HU (0.66), radiomics (0.85), and radiologist (0.80) alone (p < 0.008). Radiomics can differentiate between LAA filling defects from thrombi and contrast mixing artifacts on early-phase contrast-enhanced CT images without the need for late-phase CT.
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