Dataset Information

Radiological-histopathological discordance in patients transplanted for HCC and its impact on post-transplant outcomes.

ABSTRACT:

Background and aims

Contrast-enhanced cross-sectional imaging is the cornerstone in the diagnosis, staging, and management of HCC, including eligibility for liver transplantation (LT). Radiological-histopathological discordance may lead to improper staging and may impact patient outcomes. We aimed to assess the radiological-histopathological discordance at the time of LT in HCC patients and its impact on the post-LT outcomes.

Methods

We analyzed further the effect of 6-month waiting policy on the discordance. Using United Network for Organ Sharing-Organ Procurement and Transplantation Network (UNOS-OPTN) database, we examined the discordance between pre-LT imaging and explant histopathology for all adult HCC patients who received liver transplants from deceased donors between April 2012 and December 2017. Kaplan-Meier methods and Cox regression analyses were used to evaluate the impact of discordance on 3-year HCC recurrence and mortality.

Results

Of 6842 patients included in the study, 66.7% were within Milan criteria on both imaging and explant histopathology, and 33.3% were within the Milan based on imaging but extended beyond Milan on explant histopathology. Male gender, increasing numbers of tumors, bilobar distribution, larger tumor size, and increasing AFP are associated with increased discordance. Post-LT HCC recurrence and death were significantly higher in patients who were discordant, with histopathology beyond Milan (adj HR 1.86, 95% CI 1.32-2.63 for mortality and 1.32, 95% CI 1.03-1.70 for recurrence). Graft allocation policy with 6-month waiting time led to increased discordance (OR 1.19, CI 1.01-1.41), although it did not impact post-LT outcome.

Conclusion

Current practice for staging of HCC based on radiological imaging features alone results in underestimation of HCC burden in one out of three patients with HCC. This discordance is associated with a higher risk of post-LT HCC recurrence and mortality. These patients will need enhanced surveillance to optimize patient selection and aggressive LRT to reduce post-LT recurrence and increase survival.

SUBMITTER: Mohamed IB

PROVIDER: S-EPMC10417193 | biostudies-literature | 2023 Jul

REPOSITORIES: biostudies-literature

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Publications

Radiological-histopathological discordance in patients transplanted for HCC and its impact on post-transplant outcomes.

Mohamed Islam B IB Ismail Mohamed Saleh MS El Sabagh Ahmed A Afifi Abdelwahab Ahmed M AM Polychronopoulou Efstathia E Kuo Yong-Fang YF Hassan Manal M Goss John A JA Kanwal Fasiha F Jalal Prasun K PK

Cancer medicine 20230616 14

<h4>Background and aims</h4>Contrast-enhanced cross-sectional imaging is the cornerstone in the diagnosis, staging, and management of HCC, including eligibility for liver transplantation (LT). Radiological-histopathological discordance may lead to improper staging and may impact patient outcomes. We aimed to assess the radiological-histopathological discordance at the time of LT in HCC patients and its impact on the post-LT outcomes.<h4>Methods</h4>We analyzed further the effect of 6-month waiti ...[more]

PMID: 37326440

Similar Datasets

Project description:Background & aimsBacterial infections are frequent in patients with cirrhosis and increase the risk of death and drop-out from liver transplant (LT) waiting list. In patients with bacterial infections, LT is frequently delayed because of the fear of poor outcomes. We evaluated the impact of pre-LT infections on post-LT complications and survival.MethodsFrom 2012 to 2018, consecutive patients transplanted at the Hospital of Padua were identified and classified in two groups: patients surviving an episode of bacterial infection within 3 months before LT (study group) and patients without infections before LT (control group). Post-LT outcomes (complications, new infections, survival) were collected.ResultsA total of 466 LT recipients were identified (study group n = 108; control group n = 358). After LT, the study group had a higher incidence of new bacterial (57% vs. 20%, p <0.001) and fungal infections (14% vs. 5%, p = 0.001) and of septic shock (8% vs. 2%, p = 0.004) than the control group. Along with the model for end-stage liver disease (MELD) score and alcohol-related cirrhosis, bacterial infection pre-LT was an independent predictor of post-LT infections (odds ratio = 3.92; p <0.001). Nevertheless, no significant difference was found in 1-year (88% vs. 89%, p = 0.579) and 5-year survival rates (76% vs. 75%, p = 0.829) between the study group and control group. Within the study group, no association was found between the time elapsed from infection improvement/resolution to LT and post-LT outcomes.ConclusionsPatients with pre-LT infections have a higher risk of new bacterial and fungal infections and of septic shock after LT. However, post-LT survival is excellent. Therefore, as soon as the bacterial infection is improving/resolving, transplant should not be delayed, but patients with pre-transplant bacterial infections require active surveillance for infections after LT.Impact and implicationsBacterial infections increase mortality and delay transplant in patients with cirrhosis awaiting liver transplantation (LT). Little is known about the impact of adequately treated infections before LT on post-transplant complications and outcomes. The study highlights that pre-LT infections increase the risk of post-LT infections, but post-LT survival rates are excellent despite the risk. These findings suggest that physicians should not delay LT because of concerns about pre-LT infections, but instead should actively monitor these patients for infections after surgery.

Dataset Information

Radiological-histopathological discordance in patients transplanted for HCC and its impact on post-transplant outcomes.

Background and aims

Methods

Results

Conclusion

Publications

Radiological-histopathological discordance in patients transplanted for HCC and its impact on post-transplant outcomes.

Similar Datasets

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