A Statistical Shape Model of the Morphological Variation of the Infrarenal Abdominal Aortic Aneurysm Neck

Willemina A. van Veldhuizen*, Richte C.L. Schuurmann, Frank F.A. Ijpma, Rogier H.J. Kropman, George A. Antoniou, Jelmer M. Wolterink, Jean Paul P.M. de Vries

*Corresponding author for this work

Research output: Contribution to journalArticleAcademicpeer-review

7 Citations (Scopus)
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Abstract

Hostile aortic neck characteristics, such as short length and large diameter, have been associated with type Ia endoleaks and reintervention after endovascular aneurysm repair (EVAR). However, such characteristics partially describe the complex aortic neck morphology. A more comprehensive quantitative description of 3D neck shape might lead to new insights into the relationship between aortic neck morphology and EVAR outcomes in individual patients. This study identifies the 3D morphological shape components that describe the infrarenal aortic neck through a statistical shape model (SSM). Pre-EVAR CT scans of 97 patients were used to develop the SSM. Parameterization of the morphology was based on the center lumen line reconstruction, a triangular surface mesh of the aortic lumen, 3D coordinates of the renal arteries, and the distal end of the aortic neck. A principal component analysis of the parametrization of the aortic neck coordinates was used as input for the SSM. The SSM consisted of 96 principal components (PCs) that each described a unique shape feature. The first five PCs represented 95% of the total morphological variation in the dataset. The SSM is an objective model that provides a quantitative description of the neck morphology of an individual patient.

Original languageEnglish
Article number1687
JournalJournal of Clinical Medicine
Volume11
Issue number6
DOIs
Publication statusPublished - 18 Mar 2022

Keywords

  • Abdominal
  • Analysis
  • Aneurysm neck morphology
  • Aortic aneurysm
  • Endovascular aneurysm repair
  • Principal component
  • Statistical shape model

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