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        <identifier>oai:figshare.com:article/33970714</identifier>
        <datestamp>2026-09-23T04:53:39Z</datestamp>
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          <dc:title>Table 2_Correlation between myocardial radiomics features at the left atrium–left atrial appendage junction and stroke risk in atrial fibrillation patients: a retrospective case–control study.docx</dc:title>
          <dc:creator>Xiao-xuan Wei (25094158)</dc:creator>
          <dc:creator>Xin Tian (29048)</dc:creator>
          <dc:subject>Cardiology</dc:subject>
          <dc:subject>atrial fibrillation (AF)</dc:subject>
          <dc:subject>cardiac CT</dc:subject>
          <dc:subject>myocardium tissue</dc:subject>
          <dc:subject>radiomics</dc:subject>
          <dc:subject>stroke</dc:subject>
          <dc:description>Objective&lt;p&gt;This study aimed to systematically evaluate the microstructure changes of the myocardium at the left atrium–left atrial appendage (LA–LAA) junction in patients with atrial fibrillation (AF)-related cardioembolic stroke, and to explore its potential role as an imaging marker associated with stroke.&lt;/p&gt;Methods&lt;p&gt;This retrospective study included four groups: AF-related cardioembolic stroke group (n = 60), AF-non-stroke group (n = 29), non-AF-stroke (n = 53), and non-AF-non-stroke (n = 53). All subjects underwent cardiac computed tomography examination. Myocardial thickness at the LA–LAA junction was measured, and radiomics features were extracted. Radiomics features included first-order statistical features, shape features, and texture features. Least Absolute Shrinkage and Selection Operator (LASSO) regression was used to screen features, and a logistic regression model combining radiomics features and clinical parameters was constructed. Group comparisons were performed using t-tests or Mann–Whitney U tests. The predictive ability of the model was evaluated with the receiver operating characteristic (ROC) curve, and a nomogram was used for risk assessment.&lt;/p&gt;Results&lt;p&gt;Compared with AF patients without stroke, patients with AF-related cardioembolic stroke significantly increased myocardial thickness at the LA–LAA junction [7.1 (6.43–8.33) mm vs. 6.58 ± 1.45 mm, p &lt; 0.05]. In addition, multivariate logistic regression demonstrated that myocardial thickness was independently associated with AF-related cardioembolic stroke. Three radiomics features were selected by LASSO regression in AF-related cardioembolic stroke and non-AF-non-stroke patients, and a radiomics score (Rad-score) was generated. The Rad-score was statistically significant between the groups (p &lt; 0.001). The combined model incorporating Rad-score and clinical parameters achieved an area under curve (AUC) of 0.968 in the test cohort.&lt;/p&gt;Conclusion&lt;p&gt;Both myocardial radiomics features and myocardial thickness at the LA–LAA junction may serve as potential imaging markers associated with AF-related cardioembolic stroke. Their incremental value for stroke risk stratification beyond established clinical risk factors requires further validation in larger prospective cohorts.&lt;/p&gt;</dc:description>
          <dc:date>2026-09-23T04:53:39Z</dc:date>
          <dc:type>Dataset</dc:type>
          <dc:type>Dataset</dc:type>
          <dc:identifier>10.3389/fcvm.2026.1817530.s002</dc:identifier>
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          <dc:rights>CC BY 4.0</dc:rights>
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