Your browser doesn't support javascript.
loading
Use of radiomics to differentiate left atrial appendage thrombi and mixing artifacts on single-phase CT angiography.
Ebrahimian, Shadi; Digumarthy, Subba R; Homayounieh, Fatemeh; Primak, Andrew; Lades, Felix; Hedgire, Sandeep; Kalra, Mannudeep K.
Afiliación
  • Ebrahimian S; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Digumarthy SR; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Homayounieh F; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Primak A; Siemens Medical Solutions USA Inc., Malvern, PA, 19355, USA.
  • Lades F; Siemens Healthineers, Forchheim, Germany.
  • Hedgire S; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA.
  • Kalra MK; Department of Radiology, Massachusetts General Hospital and Harvard Medical School, Boston, MA, USA. mkalra@mgh.harvard.edu.
Int J Cardiovasc Imaging ; 37(6): 2071-2078, 2021 Jun.
Article en En | MEDLINE | ID: mdl-33544242
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, MF 2620) or contrast-mixing artifact (n = 33, mean age 71  ±  13 years, MF 2112) on early-contrast-enhanced phase. The remaining 32 patients (mean age 66  ±  10 years, MF 1913) 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.
Asunto(s)
Palabras clave

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrilación Atrial / Trombosis / Apéndice Atrial Tipo de estudio: Prognostic_studies Límite: Aged / Humans Idioma: En Revista: Int J Cardiovasc Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos

Texto completo: 1 Colección: 01-internacional Base de datos: MEDLINE Asunto principal: Fibrilación Atrial / Trombosis / Apéndice Atrial Tipo de estudio: Prognostic_studies Límite: Aged / Humans Idioma: En Revista: Int J Cardiovasc Imaging Asunto de la revista: DIAGNOSTICO POR IMAGEM Año: 2021 Tipo del documento: Article País de afiliación: Estados Unidos