Diagnostic accuracy of a modified subtraction coronary CT angiography method with short breath-holding time: a feasibility study.
Br J Radiol
; 89(1066): 20160489, 2016 Oct.
Article
em En
| MEDLINE
| ID: mdl-27439592
ABSTRACT
OBJECTIVE:
To explore the feasibility and diagnostic accuracy of modified subtraction coronary CT angiography (CCTA) with short breath-holding time in patients who have limited breath-hold capability and severe coronary artery calcification.METHODS:
11 patients with a coronary calcium score >400 underwent CCTA using a modified subtraction protocol. All patients were unable to hold their breath for more than 20 s. Subjective image quality using a four-point scale and the presence of significant (>50%) luminal stenosis were assessed for each calcified or stented segment on both conventional CCTA and modified subtraction CCTA images and compared with invasive coronary angiography (ICA) as the gold standard.RESULTS:
The mean breath-holding time was 13.0 ± 0.9 s. A total of 35 calcified or stented coronary segments were evaluated. The average image quality was increased from 2.1 ± 0.9 with conventional CCTA to 3.1 ± 0.7 with subtraction CCTA (p < 0.001). The segment-based diagnostic accuracy for detecting significant stenosis according to ICA revealed an area under the receiver-operating characteristic curve of 0.722 for conventional CCTA and 0.892 for subtraction CCTA (p = 0.036).CONCLUSION:
Modified subtraction CCTA allows the breath-holding time to be shortened to <15 s. As compared with conventional CCTA, modified subtraction CCTA showed improvement in image quality and diagnostic accuracy in patients with limited breath-hold capability and severe calcification. ADVANCES IN KNOWLEDGE Modified subtraction CCTA can improve the diagnostic accuracy in patients with a high calcium score and patients who are unable to perform long breath-holds.
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Base de dados:
MEDLINE
Assunto principal:
Angiografia Digital
/
Estenose Coronária
/
Calcificação Vascular
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Suspensão da Respiração
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Angiografia por Tomografia Computadorizada
Idioma:
En
Ano de publicação:
2016
Tipo de documento:
Article