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  1. Thoracic

CT Findings Maintains the Predictive Performance of an Existing Radiograph-Based Donor Lung Acceptability Score

  • September 17, 2026

Submitted by: Akshay PatelSilver Contributor

Source: The Journal of Thoracic and Cardiovascular Surgery
Source URL: https://www.jtcvs.org/article/S0022-5223(26)00115-7/fulltext

Keywords:

  • Lung & Mediastinal Mechanical Support & Transplant
Author(s): Yun Zhu Bai, Charles R. Liu, Zhizhou Yang, Yan Yan, Su-Hsin Chang, Anjana Delhi, Chad A. Witt, Rodrigo Vazquez Guillamet, Derek E. Byers, Gary F. Marklin, Bruce Nicely, Michael Harmon, Andrew J. Bierhals, Matthew G. Hartwig, Whitney S. Brandt, Ruben G. Nava, Bryan F. Meyers, Benjamin D. Kozower, Michael K. Pasque, Alexander Patterson, Daniel Kreisel, Varun Puri

This study assessed whether chest computed tomography (CT) findings improve the validated Lung Donor (LUNDON) score for predicting acceptance of brain-dead donor lungs. Among 2,454 donors who underwent CT, emphysema, pulmonary oedema, and traumatic lung injury reduced the likelihood of lung acceptance. However, replacing the original chest-radiograph variable with a weighted CT composite score—or adding CT to radiography—did not meaningfully improve discrimination (C-statistics 0.887 and 0.890 vs 0.883); all model versions predicted one-year graft survival.

For CTSNet’s global transplant audience, the findings show that while CT provides clinically useful anatomical detail, it may not substantially outperform an established, simpler, radiograph-based donor-assessment tool. Nevertheless, standardized capture of donor CT findings could enable more consistent organ assessment, refine future prediction models, and potentially support the safe expansion of the donor-lung pool.

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TAGS
  • Heart and Lung
  • Lung - Basic Science
  • Lung - Transplantation

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