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Dietenbeck T, Bouaou K, Houriez-Gombaud-Saintonge S, Guo J, Gencer U, Charpentier E, Giron A, De Cesare A, Nguyen V, Gallo A, Boussouar S, Pasi N, Soulat G, Redheuil A, Mousseaux E, Kachenoura N. Value of aortic volumes assessed by automated segmentation of 3D MRI data in patients with thoracic aortic dilatation: A case-control study. Diagn Interv Imaging 2023; 104:419-426. [PMID: 37105782 DOI: 10.1016/j.diii.2023.04.004] [Citation(s) in RCA: 1] [Impact Index Per Article: 0.5] [Reference Citation Analysis] [Abstract] [Key Words] [MESH Headings] [Track Full Text] [Journal Information] [Subscribe] [Scholar Register] [Received: 10/27/2022] [Revised: 04/04/2023] [Accepted: 04/11/2023] [Indexed: 04/29/2023]
Abstract
PURPOSE The purpose of this study was to investigate the benefit of aortic volumes compared to diameters or cross-sectional areas on three-dimensional (3D) magnetic resonance imaging (MRI) in discriminating between patients with dilated aorta and matched controls. MATERIALS AND METHODS Sixty-two patients (47 men and 15 women; median age, 66 years; age range: 33-86 years) with tricuspid aortic valve and ascending thoracic aorta aneurysm (TAV-ATAA) and 43 patients (35 men and 8 women; median age, 51 years; age range: 17-76 years) with bicuspid aortic valve and dilated ascending aorta (BAV) were studied. One group of 54 controls matched for age and sex to patients with TAV-ATAA (39 men and 15 women; median age, 68 years; age range: 33-81 years) and one group of 42 controls matched for age and sex to patients with BAV (34 men and 8 women; median age, 50 years; age range: 17-77 years) were identified. All participants underwent 3D MRI, used for 3D-segmentation for measuring aortic length, maximal diameter, maximal cross-sectional area (CSA) and volume for the ascending aorta. RESULTS An increase in ascending aorta volume (TAV-ATAA: +107%; BAV: +171% vs. controls; P < 0.001) was found, which was three times greater than the increase in diameter (TAV-ATAA: +29%; BAV: +40% vs. controls; P < 0.001). In differentiating patients with TAV-ATAA from their controls, the indexed ascending aorta volume showed better performances (AUC, 0.935 [95% confidence interval (CI): 0.882-0.989]; accuracy, 88.7% [95% CI: 82.9-94.5]) than indexed ascending aorta length (P < 0.001), indexed ascending aorta maximal diameter (P = 0.003) and indexed ascending aorta maximal CSA (P = 0.03). In differentiating patients with BAV from matched controls, indexed ascending aorta volume showed significantly better performances performance (AUC, 0.908 [95% CI: 0.829-0.987]; accuracy, 88.0% [95% CI: 80.9-95.0]) than indexed ascending aorta length (P = 0.02) and not different from indexed ascending aorta maximal diameter (P = 0.07) or from indexed ascending aorta maximal CSA (P = 0.27) CONCLUSION: Aortic volume measured by 3D-MRI integrates both elongation and luminal dilatation, resulting in greater classification performance than maximal diameter and length in differentiating patients with dilated ascending aorta or aneurysm from controls.
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Affiliation(s)
- Thomas Dietenbeck
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, 75006 Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), 75013 Paris, France.
| | - Kevin Bouaou
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, 75006 Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), 75013 Paris, France
| | - Sophia Houriez-Gombaud-Saintonge
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, 75006 Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), 75013 Paris, France; ESME Sudria Research Lab, 75006 Paris, France
| | - Jia Guo
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, 75006 Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), 75013 Paris, France
| | - Umit Gencer
- Université Paris Cité, PARCC, INSERM, 75015 Paris, France; Department of Radiology, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, 75015 Paris, France
| | - Etienne Charpentier
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, 75006 Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), 75013 Paris, France; Department of Cardiothoracic Imaging, Sorbonne Université, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, 75013 Paris, France
| | - Alain Giron
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, 75006 Paris, France
| | - Alain De Cesare
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, 75006 Paris, France
| | - Vincent Nguyen
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, 75006 Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), 75013 Paris, France
| | - Antonio Gallo
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, 75006 Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), 75013 Paris, France
| | - Samia Boussouar
- Department of Cardiothoracic Imaging, Sorbonne Université, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, 75013 Paris, France
| | - Nicoletta Pasi
- Department of Cardiothoracic Imaging, Sorbonne Université, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, 75013 Paris, France
| | - Gilles Soulat
- Université Paris Cité, PARCC, INSERM, 75015 Paris, France; Department of Radiology, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, 75015 Paris, France
| | - Alban Redheuil
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, 75006 Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), 75013 Paris, France; Department of Cardiothoracic Imaging, Sorbonne Université, AP-HP, Groupe Hospitalier Pitié-Salpêtrière, 75013 Paris, France
| | - Elie Mousseaux
- Université Paris Cité, PARCC, INSERM, 75015 Paris, France; Department of Radiology, Hôpital Européen Georges Pompidou, Assistance Publique Hôpitaux de Paris, 75015 Paris, France
| | - Nadjia Kachenoura
- Sorbonne Université, CNRS, INSERM, Laboratoire d'Imagerie Biomédicale, LIB, 75006 Paris, France; Institute of Cardiometabolism and Nutrition (ICAN), 75013 Paris, France
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