Author: Ebrahimian, Shadi; Digumarthy, Subba R.; Homayounieh, Fatemeh; Primak, Andrew; Lades, Felix; Hedgire, Sandeep; Kalra, Mannudeep K.
Title: Use of radiomics to differentiate left atrial appendage thrombi and mixing artifacts on single-phase CT angiography Cord-id: vtlilks5 Document date: 2021_2_5
ID: vtlilks5
Snippet: 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 remain
Document: 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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