Skip to main navigation Skip to search Skip to main content

Local recurrence risk factors and outcomes in minimally invasive thermal ablation for liver tumors: a single-institution analysis

  • Roberto Montalti
  • , Gianluca Cassese
  • , Ahmed Zidan
  • , Gianluca Rompianesi
  • , Mariano Cesare Giglio
  • , Silvia Campanile
  • , Lorenza Arena
  • , Marco Maione
  • , Roberto I. Troisi

Research output: Contribution to journalArticlepeer-review

Abstract

Background: Minimally Invasive thermal ablation (MITA) of liver tumors is a commonly performed procedure, alone or in combination with liver resection. Despite being a first-option strategy for small lesions, it is technically demanding, and many concerns still exist about local disease control. Methods: Consecutive patients undergoing MITA from 1-2019 to 12-2022 were retrospectively enrolled. Risk factors of local recurrence were investigated through univariate and multivariable cox regression analysis. Results: At the multivariable analysis of the 207 nodules undergoing MITA, RFA was associated with worse local Recurrence Free Survival (lRFS) than MWA (HR 2.87 [95 % CI 0.96–8.66], p = 0.05), as well as a concomitant surgical resection (HR 3.89 [95 % CI 1.06–9.77], p = 0.02). A concomitant surgical resection showed worse lRFS in the subgroup analysis of both HCC (HR 3.98 [95 % CI 1.16–13.62], p = 0.02) and CRLM patients (HR 2.68 [95 % CI 0.66–5.92], p = 0.04). Interestingly, a tumor size between 30 and 40 mm was not associated to worse lRFS. Conclusion: MWA may reduce the risk of local recurrence in comparison to RFA, while MITA associated to liver resection may face an increased risk of local recurrence. Further prospective studies are needed to confirm such results.

Original languageEnglish
Pages (from-to)682-690
Number of pages9
JournalHPB
Volume26
Issue number5
DOIs
Publication statusPublished - May 2024
Externally publishedYes

Fingerprint

Dive into the research topics of 'Local recurrence risk factors and outcomes in minimally invasive thermal ablation for liver tumors: a single-institution analysis'. Together they form a unique fingerprint.

Cite this