Ex vivo lung CT findings may predict the outcome of the early phase after lung transplantation

Hisashi Oishi, Masafumi Noda, Tetsu Sado, Yasushi Matsuda, Hiromichi Niikawa, Tatsuaki Watanabe, Akira Sakurada, Yasushi Hoshikawa, Yoshinori Okada

Research output: Contribution to journalArticlepeer-review

Abstract

Purpose We developed an ex vivo lung CT (EVL-CT) technique that allows us to obtain detailed CT images and morphologically assess the retrieved lung from a donor for transplantation. After we recovered the lung graft from a brain-dead donor, we transported it to our hospital and CT images were obtained ex vivo before lung transplant surgery. The objective of this study was to investigate the correlation between the EVL-CT findings and post-transplant outcome in patients who underwent bilateral lung transplantation (BLT) or single lung transplantation (SLT). Methods We retrospectively reviewed the records of 70 patients with available EVL-CT data who underwent BLT (34 cases) or SLT (36 cases) in our hospital between October 2007 and September 2017. The recipients were divided into 2 groups (control group, infiltration group) according to the findings of EVL-CT of the lung graft in BLT and SLT, respectively. Recipients in the control group were transplanted lung grafts without any infiltrates (BLT control group, SLT control group). Recipients in the infiltration group received lung grafts with infiltrates (BLT infiltration group, SLT infiltration group). Results The recipients in the BLT infiltration group showed significantly slower recovery from primary graft dysfunction and a longer mechanical ventilation period and ICU stay period than those in the BLT control group. The mechanical ventilation period was significantly longer in the recipients in the SLT infiltration group than those in the SLT control group. Conclusion EVL-CT may predict the outcome of the early phase after lung transplantation.

Original languageEnglish
Article numbere0233804
JournalPloS one
Volume15
Issue number5
DOIs
Publication statusPublished - 05-2020

All Science Journal Classification (ASJC) codes

  • Biochemistry, Genetics and Molecular Biology(all)
  • Agricultural and Biological Sciences(all)
  • General

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