The addition of computed tomography (CT) findings maintains the predictive performance of an existing radiograph-based donor lung acceptability score
Undergoing CT was independently associated with donor lung acceptance. The incorporation of highly granular findings from CT of the chest to the previously established LUNDON model maintained, but did not meaningfully improve, its excellent baseline ability to predict lung use and its association with graft survival.
Authors
- SU-HSIN CHANG
- C. Liu (ORCID: https://orcid.org/0000-0001-8932-8835)
- Witt CA
- Andrew J. Bierhals (ORCID: https://orcid.org/0000-0002-8894-1504)
- Bruce Nicely
- Yun Zhu Bai (ORCID: https://orcid.org/0000-0002-7290-6739)
- Anjana Delhi
- Daniel Kreisel
- Ruben G. Nava
- Zhizhou Yang
- Bryan F. Meyers
- Gary F. Marklin
- Derek E. Byers
- Michael K. Pasque
- Benjamin D. Kozower
- Whitney S. Brandt
- Varun Puri
- Yan Yan Ma
- Matthew G. Hartwig
- G.Alexander Patterson
- Rodrigo Vazquez Guillamet
- Michael Harmon
Institutions
- Washington University in St. Louis (US)
- Massachusetts General Hospital (US)
- Gift of Hope Organ and Tissue Donor Network (US)
- Midwest Therapeutic Endoscopy (US)
- Mallinckrodt (United States) (US)
- Duke Medical Center (US)
- Gift of Life Michigan (US)
Publication Details
- Journal
- Journal of Thoracic and Cardiovascular Surgery
- Published
- 2026-02-01
- DOI
- https://doi.org/10.1016/j.jtcvs.2026.01.035
- Primary Topic
- Transplantation: Methods and Outcomes
- Type
- article
- Field-Weighted Citation Impact
- 0.00