Signature of survival: a <sup>18</sup>F-FDG PET based whole-liver radiomic analysis predicts survival after <sup>90</sup>Y-TARE for hepatocellular carcinoma.

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Type
Article: article from journal or magazin.
Collection
Publications
Institution
Title
Signature of survival: a <sup>18</sup>F-FDG PET based whole-liver radiomic analysis predicts survival after <sup>90</sup>Y-TARE for hepatocellular carcinoma.
Journal
Oncotarget
Author(s)
Blanc-Durand P., Van Der Gucht A., Jreige M., Nicod-Lalonde M., Silva-Monteiro M., Prior J.O., Denys A., Depeursinge A., Schaefer N.
ISSN
1949-2553 (Electronic)
ISSN-L
1949-2553
Publication state
Published
Issued date
12/01/2018
Peer-reviewed
Oui
Volume
9
Number
4
Pages
4549-4558
Language
english
Notes
Publication types: Journal Article
Publication Status: epublish
Abstract
To generate a predictive whole-liver radiomics scoring system for progression-free survival (PFS) and overall survival (OS) in patients undergoing transarterial radioembolization using Yttrium-90 ( <sup>90</sup> Y-TARE) for unresectable hepatocellular carcinoma (uHCC).
The generated pPET-RadScores were significantly correlated with survival for PFS (median of 11.4 mo [95% confidence interval CI: 6.3-16.5 mo] in low-risk group [PFS-pPET-RadScore < 0.09] vs. 4.0 mo [95% CI: 2.3-5.7 mo] in high-risk group [PFS-pPET-RadScore > 0.09]; <i>P</i> = 0.0004) and OS (median of 20.3 mo [95% CI: 5.7-35 mo] in low-risk group [OS-pPET-RadScore < 0.11] vs. 7.7 mo [95% CI: 6.0-9.5 mo] in high-risk group [OS-pPET-RadScore > 0.11]; <i>P</i> = 0.007). The multivariate analysis confirmed PFS-pPET-RadScore ( <i>P</i> = 0.006) and OS-pPET-RadScore ( <i>P</i> = 0.001) as independent negative predictors.
Pretreatment <sup>18</sup> F-FDG PET whole-liver radiomics signature appears as an independent negative predictor for PFS and OS in patients undergoing <sup>90</sup> Y-TARE for uHCC.
Pretreatment <sup>18</sup> F-FDG PET of 47 consecutive patients undergoing <sup>90</sup> Y-TARE for uHCC (31 resin spheres, 16 glass spheres) were retrospectively analyzed. For each patient, based on PET radiomics signature from whole-liver semi-automatic segmentation, PFS and OS predictive PET-radiomics scores (pPET-RadScores) were obtained using LASSO Cox regression. Using X-tile software, the optimal score to predict PFS (PFS-pPET-RadScore) and OS (OS-pPET-RadScore) served as cutoff to separate high and low-risk patients. Survival curves were estimated using the Kaplan-Meier method. The prognostic value of PFS and OS-pPET-RadScore, Barcelona-Clinic Liver Cancer staging system and serum alpha-fetoprotein level was analyzed to predict PFS and OS in multivariate analysis.
Keywords
18F-FDG PET, TARE, hepatocellular carcinoma, radiomics, survival
Pubmed
Web of science
Open Access
Yes
Create date
07/12/2017 12:27
Last modification date
20/08/2019 12:40
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