TY - JOUR
T1 - Patient-specific three-dimensional aortic arch modeling for automatic measurements
T2 - Clinical validation in aortic coarctation
AU - Leonardi, Benedetta
AU - D'Avenio, Giuseppe
AU - Vitanovski, DIme
AU - Grigioni, Mauro
AU - Perrone, Marco A.
AU - Romeo, Francesco
AU - Secinaro, Aurelio
AU - Everett, Allen D.
AU - Pongiglione, Giacomo
N1 - Publisher Copyright:
© 2020 Lippincott Williams and Wilkins. All rights reserved.
PY - 2020/7/1
Y1 - 2020/7/1
N2 - AimA validated algorithm for automatic aortic arch measurements in aortic coarctation (CoA) patients could standardize procedures for clinical planning.MethodsThe model-based assessment of the aortic arch anatomy consisted of three steps: first, machine-learning-based algorithms were trained on 212 three-dimensional magnetic resonance (MR) data to automatically allocate the aortic arch position in patients and segment the aortic arch; second, for each CoA patient (N = 33), the min/max aortic arch diameters were measured using the proposed software, manually and automatically, from noncontrast-enhanced three-dimensional steady-state free precession MRI sequence at five selected sites and compared ('internal comparison' referring to the same environment); third, moreover, the same min/max aortic arch diameters were compared, obtaining them independently, manually from common MR management software (MR Viewforum) and automatically from the model (external comparison). The measured sites were: aortic sinus, sino-tubular junction, mid-ascending aorta, transverse arch and thoracoabdominal aorta at the level of the diaphragm.ResultsManual and software-assisted measurements showed a good agreement: the difference between diameter measurements was not statistically significant (at α = 0.05), with only one exception, for both internal and external comparison. A high coefficient of correlation was attained for both maximum and minimum diameters in each site (for internal comparison, R > 0.73 for every site, with P < 2 × 10-5). Notably, in tricuspid aortic valve patients external comparison showed no statistically significant difference at any measurement sites.ConclusionThe automatically derived aortic arch model, starting from three-dimensional MR images, could be a support to take the measurements in CoA patients and to quickly provide a patient-specific model of aortic arch anomalies.
AB - AimA validated algorithm for automatic aortic arch measurements in aortic coarctation (CoA) patients could standardize procedures for clinical planning.MethodsThe model-based assessment of the aortic arch anatomy consisted of three steps: first, machine-learning-based algorithms were trained on 212 three-dimensional magnetic resonance (MR) data to automatically allocate the aortic arch position in patients and segment the aortic arch; second, for each CoA patient (N = 33), the min/max aortic arch diameters were measured using the proposed software, manually and automatically, from noncontrast-enhanced three-dimensional steady-state free precession MRI sequence at five selected sites and compared ('internal comparison' referring to the same environment); third, moreover, the same min/max aortic arch diameters were compared, obtaining them independently, manually from common MR management software (MR Viewforum) and automatically from the model (external comparison). The measured sites were: aortic sinus, sino-tubular junction, mid-ascending aorta, transverse arch and thoracoabdominal aorta at the level of the diaphragm.ResultsManual and software-assisted measurements showed a good agreement: the difference between diameter measurements was not statistically significant (at α = 0.05), with only one exception, for both internal and external comparison. A high coefficient of correlation was attained for both maximum and minimum diameters in each site (for internal comparison, R > 0.73 for every site, with P < 2 × 10-5). Notably, in tricuspid aortic valve patients external comparison showed no statistically significant difference at any measurement sites.ConclusionThe automatically derived aortic arch model, starting from three-dimensional MR images, could be a support to take the measurements in CoA patients and to quickly provide a patient-specific model of aortic arch anomalies.
KW - aortic coarctation
KW - aortic measurements
KW - geometrical model
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U2 - 10.2459/JCM.0000000000000965
DO - 10.2459/JCM.0000000000000965
M3 - Article
C2 - 32332378
AN - SCOPUS:85086051867
SN - 1558-2035
VL - 21
SP - 517
EP - 528
JO - Journal of cardiovascular medicine (Hagerstown, Md.)
JF - Journal of cardiovascular medicine (Hagerstown, Md.)
IS - 7
ER -