Purpose
With more than 200,000 procedures performed around the world (1),
transcatheter aortic valve implantation (TAVI) has been proven to be standard-of-care for high risk aortic stenosis patients.
To reduce post-operative complications,
size measurement of the aortic annulus for appropriate prosthesis selection is the key factor (2).
Measurement by CT has become the reference standard (1).
Manual size measurements are time consuming.
A fully automatic algorithm would greatly reduce time consumption and increase accuracy for physicians.
This study aims to validate a new fully automatic aortic...
Methods and Materials
Population and CT protocol
Contrast enhanced cardiac CT scans of 15 candidates for TAVI were acquired on a 320-row detector scanner (Aquilion ONE,
Toshiba Medical System,
Japan).
Reconstructed slice thickness was 0.5mm at 0.25mm intervals.
Diastolic reconstructions were used.
Automatic measurement of aortic annulus
The fully automatic annulus size measurement algorithm was based on a novel segmentation method combing image registration and deformable subdivision surface model fitting with results shown in Figure 1(3),
and the detection of the location of the annulus as shown in...
Results
Patient characteristic
Total (15)
Age (years)
77 ± 8
Gender (% male)
10 (67)
Diabetes
3 (20)
Hypertension†
9 (60)
Hypercholesterolemia‡
9 (60)
Family history of CAD*
3 (20)
Smoking
2 (13)
Obesity
4 (27)
Previous PCI
9 (60)
Previous CABG
8 (53)
Previous MI
5 (33)
Table 1 Basic characteristics of patients
Data are represented as mean ± SD,
median (interquartile range) or as number and percentages of patients.
†Defined as systolic blood pressure ≥140 mm Hg and/or diastolic blood pressure ≥90mmHg or the...
Conclusion
Our new automatic algorithm shows an excellent correlation and slight overestimation compared to the results from the observer.
References
1.Vahl T P,
Kodali S K,
Leon M B.
Transcatheter Aortic Valve Replacement 2016: A Modern-Day “Through the Looking-Glass” Adventure[J].
Journal of the American College of Cardiology,
2016,
67(12): 1472-1487.
2.Hamm C W,
Arsalan M,
Mack M J.
The future of transcatheter aortic valve implantation[J].
European heart journal,
2015: ehv574.
3.Gao X,
Kitslaar P,
Scholte A J H A,
et al.
Automatic aortic root segmentation in CTA whole-body dataset[C]//SPIE Medical Imaging.
International Society for Optics and Photonics,
2016: 97850F-97850F-7.
4.de Heer L M,
Budde R...
