Literature DB >> 35362752

Fat signal fraction assessed with MRI predicts hepatic recurrence following hepatic resection for colorectal liver metastases.

Nozomu Sakai1, Koichi Hayano2, Takashi Mishima1, Katsunori Furukawa1, Tsukasa Takayashiki1, Satoshi Kuboki1, Shigetsugu Takano1, Yohei Kawasaki3, Hisahiro Matsubara2, Masayuki Ohtsuka4.   

Abstract

PURPOSE: The effect of hepatic steatosis on the development of colorectal liver metastases (CRLM) remains unknown. This study evaluated the usefulness of fat signal fraction assessed with magnetic resonance imaging (MRI) and the effect of hepatic steatosis on hepatic recurrences following initial hepatectomy for CRLM.
METHODS: Between January 2013 and December 2019, 64 patients underwent initial hepatectomy for CRLM. The medical records of these patients were reviewed to evaluate the recurrence and survival outcomes.
RESULTS: The fat signal fraction was positively correlated with the nonalcoholic fatty liver disease activity score and liver-spleen ratio. Recurrence following the initial hepatectomy was observed in 48/64 patients, and hepatic recurrence was observed in 30/64 patients. The fat signal fraction was significantly higher in patients with hepatic recurrence after initial hepatectomy. The hepatic recurrence rate was 69.2% in patients with fat signal fraction ≥ 0.0258, which was significantly higher than that in patients with fat signal fraction < 0.0258. Hepatic recurrence-free survival rate was significantly higher in patients with fat signal fraction < 0.0258 than in those with fat signal fraction ≥ 0.0258. Multivariate analyses revealed that fat signal fraction ≥ 0.0258 was an independent risk factor for hepatic recurrence.
CONCLUSION: The fat signal fraction assessed with MRI was significantly associated with hepatic recurrence following initial hepatectomy for CRLM.
© 2022. The Author(s), under exclusive licence to Springer-Verlag GmbH Germany, part of Springer Nature.

Entities:  

Keywords:  Colorectal liver metastasis; Fat signal fraction; Hepatic steatosis; Recurrence

Mesh:

Year:  2022        PMID: 35362752     DOI: 10.1007/s00423-022-02482-z

Source DB:  PubMed          Journal:  Langenbecks Arch Surg        ISSN: 1435-2443            Impact factor:   2.895


  33 in total

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Authors:  Jennie Engstrand; Henrik Nilsson; Cecilia Strömberg; Eduard Jonas; Jacob Freedman
Journal:  BMC Cancer       Date:  2018-01-15       Impact factor: 4.430

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