[The Effect of Reconstruction Method on the Ability to Analyze of FFR Using CT].
Nihon Hoshasen Gijutsu Gakkai Zasshi
; 73(11): 1140-1146, 2017.
Article
em Ja
| MEDLINE
| ID: mdl-29151547
ABSTRACT
BACKGROUND:
Invasive-fractional flow reserve (FFR) is the reference standard to evaluate functional ischemia of coronary arteries, and is used to decide if percutaneous transluminal coronary angioplasty is necessary. Recently, computed tomography-derived FFR (CT-FFR) is emerged as an alternative non-invasive method.OBJECTIVES:
To evaluate the effect of reconstruction methods and image parameters on the accuracy of CT-FFR calculation.METHODS:
A total of 26 segments in the consecutive 10 coronary CT angiography (CCTA) studies were evaluated. All studies were reconstructed using three different techniques 1) filtered back projection (FBP), 2) adaptive iterative dose reduction 3D (AIDR 3D), and 3) forward projected model-based iterative reconstruction solution (FIRST). Vessel segmentation was performed automatically by CT-FFR software, with manual adjustment if necessary. Calculated CT-FFR was compared with the invasive FFR data.RESULTS:
Compared to FBP, AIDR 3D and FIRST resulted in more successful automatic segmentation. When using FIRST, 7 segments (27%) were completed without manual adjustment. These segments had relatively larger vessel diameter, higher CT number, and lower noise. The difference between the calculated CT-FFR and invasive-FFR was 0.02±0.01. Among the remaining, 10 segments (38%) required manual adjustments of centerline, 7 segments (27%) required manual adjustments of contour, and 2 segments (8%) did not reach to the CT-FFR calculation.CONCLUSION:
AIDR 3D and FIRST were useful for reliable automatic segmentation and analysis of CT-FFR.
Texto completo:
1
Coleções:
01-internacional
Base de dados:
MEDLINE
Assunto principal:
Tomografia Computadorizada por Raios X
/
Angiografia Coronária
/
Vasos Coronários
Limite:
Female
/
Humans
/
Male
/
Middle aged
Idioma:
Ja
Revista:
Nihon Hoshasen Gijutsu Gakkai Zasshi
Ano de publicação:
2017
Tipo de documento:
Article