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

• Published in: European radiology Vol. 31; no. 2; pp. 1130 - 1139
• Main Authors: Chun, Sei Hyun, Suh, Young Joo, Han, Kyunghwa, Park, Sang Joon, Shim, Chi Young, Hong, Geu-Ru, Lee, Sak, Lee, Seung-Hyun, Kim, Young Jin, Choi, Byoung Wook
• Format: Journal Article
• Language: English
• Published: Berlin/Heidelberg Springer Berlin Heidelberg 01.02.2021; Springer Nature B.V
• Subjects: Aorta; Atrial Appendage - diagnostic imaging; Atrial Fibrillation; Attenuation; Blood clots; Cardiac; Cardiovascular disease; Cardiovascular diseases; Computed tomography; Coronary artery disease; Defects; Diagnostic Radiology; Diagnostic systems; Echocardiography; Echocardiography, Transesophageal; Feature extraction; Heart; Heart diseases; Heart surgery; Heart Valve Diseases - complications; Heart Valve Diseases - diagnostic imaging; Humans; Image segmentation; Imaging; Internal Medicine; Interventional Radiology; Medical imaging; Medicine; Medicine & Public Health; Neuroradiology; Nonuniformity; Quantitative analysis; Radiology; Radiomics; Retrospective Studies; Thrombosis; Thrombosis - diagnostic imaging; Tomography, X-Ray Computed; Ultrasound; Atrial appendage; Heart valve diseases; Thrombosis; Multidetector computed tomography
• ISSN: 0938-7994; 1432-1084
• DOI: 10.1007/s00330-020-07173-1

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. Key Points • Wavelet-transformed grey-level non-uniformity values from radiomic analysis are significantly lower for LAA thrombus than for circulatory stasis. • Radiomic features may have an additional value for differentiating LAA thrombus from circulatory stasis when interpreting single-phase cardiac CT. • Radiomic features extracted from single-phase images may show similar diagnostic ability as conventional quantitative analysis from two-phase images.