title: Calcifications of the thoracic aorta on extended non-contrast-enhanced cardiac CT.
abstract: BACKGROUND
  The presence of calcified atherosclerosis in different vascular beds has been associated with a higher risk of mortality. Thoracic aorta calcium (TAC) can be assessed from computed tomography (CT) scans, originally aimed at coronary artery calcium (CAC) assessment. CAC screening improves cardiovascular risk prediction, beyond standard risk assessment, whereas TAC performance remains controversial. However, the curvilinear portion of the thoracic aorta (TA), that includes the aortic arch, is systematically excluded from TAC analysis. We investigated the prevalence and spatial distribution of TAC all along the TA, to see how those segments that remain invisible in standard TA evaluation were affected.
  
  
  RESULTS
  A total of 970 patients (77% men) underwent extended non-contrast cardiac CT scans including the aortic arch. An automated algorithm was designed to extract the vessel centerline and to estimate the vessel diameter in perpendicular planes. Then, calcifications were quantified using the Agatston score and associated with the corresponding thoracic aorta segment. The aortic arch and the proximal descending aorta, "invisible" in routine CAC screening, appeared as two vulnerable sites concentrating 60% of almost 11000 calcifications. The aortic arch was the most affected segment per cm length. Using the extended measurement method, TAC prevalence doubled from 31% to 64%, meaning that 52% of patients would escape detection with a standard scan. In a stratified analysis for CAC and/or TAC assessment, 111 subjects (46% women) were exclusively identified with the enlarged scan.
  
  
  CONCLUSIONS
  Calcium screening in the TA revealed that the aortic arch and the proximal descending aorta, hidden in standard TA evaluations, concentrated most of the calcifications. Middle-aged women were more prone to have calcifications in those hidden portions and became candidates for reclassification.
authors.affiliation: Favaloro University. Facultad de Ingeniería, Ciencias Exactas y Naturales, CONICET, Buenos Aires, Argentina; APHP, Hôpital Européen Georges Pompidou, INSERM U970, Université Paris-Descartes, Paris, France.
authors.forename: Damian
authors.initials: D
authors.lastname: Craiem
authors.affiliation: APHP, Hôpital Européen Georges Pompidou, INSERM U970, Université Paris-Descartes, Paris, France.
authors.forename: Gilles
authors.initials: G
authors.lastname: Chironi
authors.affiliation: Favaloro University. Facultad de Ingeniería, Ciencias Exactas y Naturales, CONICET, Buenos Aires, Argentina.
authors.forename: Mariano E
authors.initials: ME
authors.lastname: Casciaro
authors.affiliation: Favaloro University. Facultad de Ingeniería, Ciencias Exactas y Naturales, CONICET, Buenos Aires, Argentina.
authors.forename: Sebastian
authors.initials: S
authors.lastname: Graf
authors.affiliation: APHP, Hôpital Européen Georges Pompidou, INSERM U970, Université Paris-Descartes, Paris, France.
authors.forename: Alain
authors.initials: A
authors.lastname: Simon
mesh_terms: D000328:Adult; D000367:Age Factors; D000368:Aged; D001013:Aorta, Thoracic / Q000000981:diagnostic imaging*; D001018:Aortic Diseases / Q000000981:diagnostic imaging*; D050197:Atherosclerosis / Q000000981:diagnostic imaging*; D002114:Calcinosis / Q000000981:diagnostic imaging*; D017023:Coronary Angiography; D005260:Female; D006801:Humans; D008297:Male; D008875:Middle Aged; D018570:Risk Assessment; D012307:Risk Factors; D012737:Sex Factors