Differentiation of left atrial appendage thrombus from circulatory stasis using cardiac CT radiomics in patients with valvular heart disease

Objectives To determine whether quantitative radiomic features from cardiac CT could differentiate the left atrial appendage (LAA) thrombus from circulatory stasis in patients with valvular heart disease. Methods Ninety-five consecutive patients with valvular heart disease and filling defects in LAA on two-phase cardiac CT from March 2016 to August 2018 were retrospectively enrolled and classified as having thrombus or stasis by transesophageal echocardiography or cardiac surgery. The ratio of Hounsfield units in the filling defects to those in the ascending aorta (AA) was calculated on early- and late-phase CT (LAA/AA(E)and LAA/AA(L), respectively). Radiomic features were extracted from semi-automated three-dimensional segmentation of the filling defect on early-phase CT. The diagnostic ability of radiomic features for differentiating thrombus from stasis was assessed and compared to LAA/AA(E)and LAA/AA(L)by comparing the AUC of ROC curves. Diagnostic performances of CT attenuation ratios and radiomic features were validated with an independent validation set. Results Thrombus was diagnosed in 25 cases and stasis in 70. Sixty-eight radiomic features were extracted. Values of 8 wavelet-transformed features were lower in thrombus than in stasis (p< 0.001). The AUC value of a radiomic feature, wavelet_LHL, for diagnosing thrombus was 0.78, which was higher than that of LAA/AA(E)(AUC = 0.54,p= 0.025) and similar to that of LAA/AA(L)(AUC = 0.76,p= 0.773). In the validation set, the AUC of wavelet_LHL was 0.71, which was higher than that of LAA/AA(E)(AUC = 0.57,p= 0.391) and similar to that of LAA/AA(L)(AUC = 0.75,p= 0.707). Conclusions Quantitative radiomic features from the early phase of cardiac CT may help diagnose LAA thrombus in patients with valvular heart disease.

Automated summary

The study aimed to differentiate left atrial appendage thrombus from circulatory stasis in patients with valvular heart disease using quantitative radiomic features from cardiac CT. The radiomic features extracted from early-phase CT showed potential diagnostic value in distinguishing thrombus from stasis, outperforming CT attenuation ratios.