Optimizing Organ Utilization: Machine Perfusion, Donor Selection & Graft Outcomes

Description

This session highlights advances in expanding and optimizing the donor organ pool through machine perfusion, refined donor selection, and improved risk prediction. Presentations span the transplant pathway—from DCD procurement decisions and normothermic machine perfusion strategies to graft-threatening complications and downstaging protocols for HCC—with an emphasis on interpretable modeling and translational interventions. Together, these studies point toward safer, broader organ utilization and better post-transplant outcomes.

Presentations

5:00 PM - 5:15 PM
Convention Center - Mile High Ballroom 2B-3B
Recorded session

Balancing ICI Washout and Exposure Duration is associated with Pathologic Downstaging within Milan Criteria and Post-Transplant Outcomes in HCC: Results from the LIFT-HCC Consortium

Ju Dong Yang, MD | Abstract Presenter
5:15 PM - 5:30 PM
Convention Center - Mile High Ballroom 2B-3B
Recorded session

Hepatic Arterial Thrombosis After Liver Transplantation: National Incidence, High-Risk Phenotypes, and Near-Universal Early Graft Failure in 72,037 Recipients

Sri Harsha Boppana, MBBS, MD. | Abstract Presenter
5:30 PM - 5:45 PM
Convention Center - Mile High Ballroom 2B-3B
Recorded session

Taurine attenuates senescence in aged livers during normothermic machine perfusion

Jianjun Zhu, MD | Abstract Presenter
5:45 PM - 6:00 PM
Convention Center - Mile High Ballroom 2B-3B
Recorded session

Impact of Normothermic Machine Perfusion on Transplant Access, Donor Utilization, and the Evolving Role of Living Donor Liver Transplantation: A Single-Center Experience

Yusuf Yalcin, MD | Abstract Presenter
6:00 PM - 6:15 PM
Convention Center - Mile High Ballroom 2B-3B
Recorded session

Pre-Perfusion Risk Prediction Model for Early Allograft Dysfunction in DCD Liver Transplantation with Normothermic Machine Perfusion

ATSUSHI NISHIMAGI, MD, PhD | Abstract Presenter
6:15 PM - 6:30 PM
Convention Center - Mile High Ballroom 2B-3B
Recorded session

Optimizing DCD Procurement Initiation With Interpretable Machine Learning Prediction of 60-Minute Mortality After WLST

Alexander A Huang, MD | Abstract Presenter

Objectives

  • Describe how normothermic machine perfusion influences donor utilization, transplant access, and graft viability, including novel interventions to mitigate ischemic injury and senescence.
  • Apply interpretable machine learning models to guide DCD procurement decisions and predict early allograft dysfunction.
  • Identify high-risk phenotypes and clinical predictors of graft-threatening complications such as hepatic arterial thrombosis.
  • Evaluate the role of immune checkpoint inhibitor washout and exposure timing in achieving pathologic downstaging and favorable post-transplant outcomes in HCC.