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Peer-reviewedCC BYJournal of clinical medicine

Cardiac CT Roadmap for Left Atrial Appendage Occlusion: From Planning to Strategy to Follow-Up.

  • Antonella Meloni1
  • Katia Capellini2
  • Benigno Marco Fanni2
  • Emanuele Gasparotti2
  • Rossana Buongiorno2
  • Ilaria Verdirame2,3
  • Lorenza Petrini4
  • Giancarlo Pennati5
  • Francesca Berti5
  • Vincenzo Positano1
  • Guido Parodi6
  • Giovanni Benedetti7
3 more authors
  • Luigi Emilio Pastormerlo7
  • Sergio Berti7
  • Simona Celi1,2
7 affiliations
  1. 1Bioengineering Unit, Fondazione Monasterio, 56124 Pisa, Italy.
  2. 2BioCardioLab, Bioengineering Unit, Fondazione Monasterio, 54100 Massa, Italy.
  3. 3Department of Information Engineering, University of Pisa, 56122 Pisa, Italy.
  4. 4Department of Civil and Environmental Engineering, Politecnico di Milano, 20133 Milan, Italy.
  5. 5Laboratory of Biological Structure Mechanics, Department of Chemistry, Materials and Chemical Engineering "Giulio Natta", Politecnico di Milano, 20133 Milan, Italy.
  6. 6Cardiology Unit, Department of Medicine, Lavagna Hospital, 16033 Lavagna, Italy.
  7. 7Diagnostic and Interventional Cardiology Unit, Fondazione Monasterio, 54100 Massa, Italy.
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Abstract

Cardiac computed tomography (CCT) has emerged as a central imaging modality in the workflow for left atrial appendage occlusion (LAAO), as accurate anatomical assessment is vital for successful intervention. CCT provides superior three-dimensional (3D) anatomical detail and isotropic spatial resolution compared to traditional trans-esophageal echocardiography, enabling precise pre-procedural planning, device sizing, and identification of optimal fluoroscopic projections. Furthermore, CCT serves as a highly accurate, non-invasive tool for detecting post-procedural complications such as peri-device leaks and device-related thrombosis. Beyond conventional imaging, CCT-derived datasets now facilitate advanced computational applications, including patient-specific 3D printing, computational fluid dynamics, and finite element modeling, to predict device-tissue interactions and post-implant hemodynamics. Additionally, artificial intelligence is increasingly integrated to automate segmentation and enhance risk stratification. This review provides a comprehensive overview of the expanding role of CCT in LAAO, highlighting its contribution to procedural optimization and the transition toward personalized, engineering-driven cardiac interventions.

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Cite

BibTeXRIS
BibTeX
@article{meloni2026cardiac,
  title = {{Cardiac CT Roadmap for Left Atrial Appendage Occlusion: From Planning to Strategy to Follow-Up.}},
  author = {Antonella Meloni and Katia Capellini and Benigno Marco Fanni and Emanuele Gasparotti and Rossana Buongiorno and Ilaria Verdirame and Lorenza Petrini and Giancarlo Pennati and Francesca Berti and Vincenzo Positano and Guido Parodi and Giovanni Benedetti and Luigi Emilio Pastormerlo and Sergio Berti and Simona Celi},
  journal = {Journal of clinical medicine},
  year = {2026},
  month = sep,
  doi = {10.3390/jcm15197361},
  url = {https://europepmc.org/article/MED/42881823},
  note = {CC BY},
}
RIS
TY  - JOUR
TI  - Cardiac CT Roadmap for Left Atrial Appendage Occlusion: From Planning to Strategy to Follow-Up.
AU  - Antonella Meloni
AU  - Katia Capellini
AU  - Benigno Marco Fanni
AU  - Emanuele Gasparotti
AU  - Rossana Buongiorno
AU  - Ilaria Verdirame
AU  - Lorenza Petrini
AU  - Giancarlo Pennati
AU  - Francesca Berti
AU  - Vincenzo Positano
AU  - Guido Parodi
AU  - Giovanni Benedetti
AU  - Luigi Emilio Pastormerlo
AU  - Sergio Berti
AU  - Simona Celi
PY  - 2026
DA  - 2026/09/22
JO  - Journal of clinical medicine
DO  - 10.3390/jcm15197361
UR  - https://europepmc.org/article/MED/42881823
AB  - Cardiac computed tomography (CCT) has emerged as a central imaging modality in the workflow for left atrial appendage occlusion (LAAO), as accurate anatomical assessment is vital for successful intervention. CCT provides superior three-dimensional (3D) anatomical detail and isotropic spatial resolution compared to traditional trans-esophageal echocardiography, enabling precise pre-procedural planning, device sizing, and identification of optimal fluoroscopic projections. Furthermore, CCT serves as a highly accurate, non-invasive tool for detecting post-procedural complications such as peri-device leaks and device-related thrombosis. Beyond conventional imaging, CCT-derived datasets now facilitate advanced computational applications, including patient-specific 3D printing, computational fluid dynamics, and finite element modeling, to predict device-tissue interactions and post-implant hemodynamics. Additionally, artificial intelligence is increasingly integrated to automate segmentation and enhance risk stratification. This review provides a comprehensive overview of the expanding role of CCT in LAAO, highlighting its contribution to procedural optimization and the transition toward personalized, engineering-driven cardiac interventions.
SN  - 2077-0383
ER  -