Literature DB >> 32087468

Yttrium-90 radioembolization for hepatocellular carcinoma: Outcome prediction with MRI derived fat-free muscle area.

Anton Faron1, Alois M Sprinkart1, Claus C Pieper2, Daniel L R Kuetting1, Rolf Fimmers3, Wolfgang Block1, Carsten Meyer2, Daniel Thomas1, Ulrike Attenberger1, Julian A Luetkens4.   

Abstract

PURPOSE: Sarcopenia is associated with adverse outcomes in several gastrointestinal malignancies and liver cirrhosis. We aimed to study the utility of magnetic resonance imaging (MRI) derived fat-free muscle area (FFMA) to predict clinical outcome in patients receiving yttrium-90 radioembolization (RE) for treatment of hepatocellular carcinoma (HCC).
METHODS: Fifty-eight patients with unresectable HCC and pre-interventional liver MRI undergoing salvage RE were retrospectively evaluated. Using axial T2-weighted turbo spin echo sequences, FFMA was calculated by subtraction of the intramuscular adipose tissue area from the total cross-sectional area of paraspinal skeletal muscles at the superior mesenteric artery level. FFMA values lower than 3582 mm2 in male and 2301 mm2 in female patients were defined as low FFMA. Main outcomes were progression-free survival (PFS) and overall survival (OS). For outcome analysis, the Kaplan-Meier method with log rank test and multivariate cox regression analysis were used.
RESULTS: Mean time from pre-interventional MRI to RE was 27 ± 20 days. Median OS and PFS after RE were 250 (range: 21-1230 days) and 156 days (range: 21-674 days), respectively. Patients with low FFMA showed significantly reduced OS (197 vs. 294 days, P = 0.024) and tended to have shortened PFS (109 vs. 185 days, P = 0.068). Low FFMA (HR 2.675; P = 0.011), estimated liver tumor burden (HR 4.058; P = 0.001), and Eastern Cooperative Oncology Group (ECOG) performance status (1.763; P = 0.009) were independent predictors of OS on multivariate analysis.
CONCLUSIONS: FFMA as a measure of sarcopenia predicts OS and might represent a promising new biomarker for survival prognosis in patients undergoing RE for treatment of unresectable HCC.
Copyright © 2020 Elsevier B.V. All rights reserved.

Entities:  

Keywords:  Brachytherapy; Hepatocellular carcinoma; Magnetic resonance imaging; Sarcopenia

Year:  2020        PMID: 32087468     DOI: 10.1016/j.ejrad.2020.108889

Source DB:  PubMed          Journal:  Eur J Radiol        ISSN: 0720-048X            Impact factor:   3.528


  5 in total

1.  Combination of Fat-Free Muscle Index and Total Spontaneous Portosystemic Shunt Area Identifies High-Risk Cirrhosis Patients.

Authors:  Anton Faron; Jasmin Abu-Omar; Johannes Chang; Nina Böhling; Alois Martin Sprinkart; Ulrike Attenberger; Jürgen K Rockstroh; Andreas Minh Luu; Christian Jansen; Christian P Strassburg; Jonel Trebicka; Julian Luetkens; Michael Praktiknjo
Journal:  Front Med (Lausanne)       Date:  2022-04-12

2.  CT fatty muscle fraction as a new parameter for muscle quality assessment predicts outcome in venovenous extracorporeal membrane oxygenation.

Authors:  Anton Faron; Stefan Kreyer; Alois M Sprinkart; Thomas Muders; Stefan F Ehrentraut; Alexander Isaak; Rolf Fimmers; Claus C Pieper; Daniel Kuetting; Jens-Christian Schewe; Ulrike Attenberger; Christian Putensen; Julian A Luetkens
Journal:  Sci Rep       Date:  2020-12-28       Impact factor: 4.379

Review 3.  Sarcopenia in hepatocellular carcinoma: Current knowledge and future directions.

Authors:  Abhilash Perisetti; Hemant Goyal; Rachana Yendala; Saurabh Chandan; Benjamin Tharian; Ragesh Babu Thandassery
Journal:  World J Gastroenterol       Date:  2022-01-28       Impact factor: 5.742

Review 4.  Clinical impact of sarcopenia assessment in patients with hepatocellular carcinoma undergoing treatments.

Authors:  Giovanni Marasco; Matteo Serenari; Matteo Renzulli; Luigina Vanessa Alemanni; Benedetta Rossini; Irene Pettinari; Elton Dajti; Federico Ravaioli; Rita Golfieri; Matteo Cescon; Davide Festi; Antonio Colecchia
Journal:  J Gastroenterol       Date:  2020-08-03       Impact factor: 7.527

5.  Deep Learning-Based Body Composition Analysis Predicts Outcome in Melanoma Patients Treated with Immune Checkpoint Inhibitors.

Authors:  Anton Faron; Nikola S Opheys; Sebastian Nowak; Alois M Sprinkart; Alexander Isaak; Maike Theis; Narine Mesropyan; Christoph Endler; Judith Sirokay; Claus C Pieper; Daniel Kuetting; Ulrike Attenberger; Jennifer Landsberg; Julian A Luetkens
Journal:  Diagnostics (Basel)       Date:  2021-12-09
  5 in total

北京卡尤迪生物科技股份有限公司 © 2022-2023.