In Vivo Quantification of Ascending Thoracic Aortic Aneurysm Wall Stretch Using MRI: Relationship to Repair Threshold Diameter and Ex Vivo Wall Failure Behavior.


Journal

Journal of biomechanical engineering
ISSN: 1528-8951
Titre abrégé: J Biomech Eng
Pays: United States
ID NLM: 7909584

Informations de publication

Date de publication:
03 Sep 2024
Historique:
received: 20 04 2023
accepted: 04 03 2024
medline: 3 9 2024
pubmed: 3 9 2024
entrez: 3 9 2024
Statut: aheadofprint

Résumé

Background Ascending thoracic aortic aneurysms (aTAA) can lead to life-threatening dissection and rupture. Recent studies highlighted aTAA mechanical properties as relevant factors associated with progression. The aim of this study was to quantify in vivo aortic wall stretch in healthy participants and aTAA patients using displacement encoding with stimulated echoes (DENSE) MRI. Moreover, aTAA wall stretch between surgical and non-surgical patients were investigated. Finally, DENSE measurements were compared to reference-standard mechanical testing on aTAA specimens from surgical repairs. Methods In total, 18 subjects were recruited, six healthy participants and 12 aTAA patients, for this prospective study. ECG-gated DENSE imaging was performed to measure systole-diastole wall stretch, as well as the ratio of aTAA stretch to unaffected descending thoracic aorta stretch. Free-breathing and breath-held DENSE protocols were used. Uniaxial tensile testing-measured indices were correlated to DENSE measurements in five specimens. Results In vivo aortic wall stretch was significantly lower in aTAA compared to healthy subjects (P=.0004). There was no correlation between stretch and maximum aTAA diameter. The ratio of aTAA to unaffected thoracic aorta wall stretch was significantly lower in surgical candidates compared to non-surgical candidates (P=.0442). Finally, in vivo aTAA wall stretch correlated to wall failure stress and peak modulus of the intima (P=.017 and P=.034, respectively), while the stretch ratio correlated to whole-wall thickness failure stretch and stress (P=.013 and P=.040, respectively). Conclusion Aortic DENSE has the potential to assess differences in aTAA mechanical properties and progressions.

Identifiants

pubmed: 39225677
pii: 1205168
doi: 10.1115/1.4066430
doi:

Types de publication

Journal Article

Langues

eng

Sous-ensembles de citation

IM

Pagination

1-26

Informations de copyright

Copyright © 2024 by ASME.

Auteurs

Huiming Dong (H)

Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA.

Henrik Haraldsson (H)

Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA.

Joseph Leach (J)

Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA.

Ang Zhou (A)

Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA.

Megan Ballweber (M)

Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA.

Chengcheng Zhu (C)

Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA.

Yue Xuan (Y)

Department of Surgery, University of California, San Francisco, San Francisco, CA; Department of Cardiac Surgery, San Francisco Veteran Affairs Medical Center, San Francisco, CA.

Zhongjie Wang (Z)

Department of Surgery, University of California, San Francisco, San Francisco, CA; Department of Cardiac Surgery, San Francisco Veteran Affairs Medical Center, San Francisco, CA.

Michael Hope (M)

Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA.

Frederick Epstein (F)

Department of Biomedical Engineering, University of Virginia, Charlottesville, VA; Department of Radiology and Medical Imaging, University of Virginia, Charlottesville, VA.

Liang Ge (L)

Department of Surgery, University of California, San Francisco, San Francisco, CA; Department of Cardiac Surgery, San Francisco Veteran Affairs Medical Center, San Francisco, CA.

David Saloner (D)

Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA.

Elaine Tseng (E)

Department of Surgery, University of California, San Francisco, San Francisco, CA; Department of Cardiac Surgery, San Francisco Veteran Affairs Medical Center, San Francisco, CA.

Dimitrios Mitsouras (D)

Department of Radiology and Biomedical Imaging, University of California, San Francisco, San Francisco, CA; Vascular Imaging Research Center, San Francisco Veteran Affairs Medical Center, San Francisco, CA.

Classifications MeSH