How Can Machine Perfusion Change the Paradigm of Liver Transplantation for Patients with Perihilar Cholangiocarcinoma?
Damiano PatronoFabio ColliMatteo ColangeloNicola De StefanoAna Lavinia ApostuElena MazzaSilvia CatalanoGiorgia RizzaStefano MirabellaRenato RomagnoliPublished in: Journal of clinical medicine (2023)
Perihilar cholangiocarcinomas (pCCA) are rare yet aggressive tumors originating from the bile ducts. While surgery remains the mainstay of treatment, only a minority of patients are amenable to curative resection, and the prognosis of unresectable patients is dismal. The introduction of liver transplantation (LT) after neoadjuvant chemoradiation for unresectable pCCA in 1993 represented a major breakthrough, and it has been associated with 5-year survival rates consistently >50%. Despite these encouraging results, pCCA has remained a niche indication for LT, which is most likely due to the need for stringent candidate selection and the challenges in preoperative and surgical management. Machine perfusion (MP) has recently been reintroduced as an alternative to static cold storage to improve liver preservation from extended criteria donors. Aside from being associated with superior graft preservation, MP technology allows for the safe extension of preservation time and the testing of liver viability prior to implantation, which are characteristics that may be especially useful in the setting of LT for pCCA. This review summarizes current surgical strategies for pCCA treatment, with a focus on unmet needs that have contributed to the limited spread of LT for pCCA and how MP could be used in this setting, with a particular emphasis on the possibility of expanding the donor pool and improving transplant logistics.
Keyphrases
- end stage renal disease
- locally advanced
- ejection fraction
- chronic kidney disease
- rectal cancer
- newly diagnosed
- prognostic factors
- peritoneal dialysis
- deep learning
- squamous cell carcinoma
- magnetic resonance
- lymph node
- coronary artery disease
- percutaneous coronary intervention
- coronary artery bypass
- patient reported
- neural network