Deformable lung models for anatomical lung resections: The introduction of simulated reality for imaging guidance
Pulmo-SR integrates artificial intelligence, finite element method, and 3D modeling to provide a 4D deformable reconstruction of patient anatomy, offering realistic simulations for complex lung resections. Clinical validation demonstrated high accuracy, precision, and sensitivity, indicating the potential as a valuable tool in preoperative and intraoperative workflows for anatomical lung resections.
Authors
- Sabrina Siregar (ORCID: https://orcid.org/0000-0002-8341-027X)
- Quinten J Mank
- Jolanda Kluin (ORCID: https://orcid.org/0000-0002-5942-4727)
- Amir H. Sadeghi (ORCID: https://orcid.org/0000-0002-6118-2341)
- Alexander P.W.M. Maat (ORCID: https://orcid.org/0000-0002-8553-2772)
- Tjerko Kieft
Institutions
- Erasmus MC (NL)
- University Medical Center Utrecht (NL)
- Netherlands Heart Institute (NL)
- Equality Now (US)
- Erasmus University Rotterdam (NL)
Publication Details
- Journal
- JTCVS Techniques
- Published
- 2025-11-12
- DOI
- https://doi.org/10.1016/j.xjtc.2025.10.022
- Primary Topic
- Lung Cancer Diagnosis and Treatment
- Type
- article
- Field-Weighted Citation Impact
- 0.00