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

Blanc-Durand, Paul (Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland) ; Van Der Gucht, Axel (Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland) ; Jreige, Mario (Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland) ; Nicod-Lalonde, Marie (Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland) ; Silva-Monteiro, Marina (Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland) ; Prior, John O. (Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland) ; Denys, Alban (Department of Radiology and Interventional Radiology, Lausanne University Hospital, Lausanne, Switzerland) ; Depeursinge, Adrien (University of Applied Sciences and Arts Western Switzerland (HES-SO Valais-Wallis)) ; Schaefer, Niklaus (Department of Nuclear Medicine and Molecular Imaging, Lausanne University Hospital, Lausanne, Switzerland)

Methods: Pretreatment 18F-FDG PET of 47 consecutive patients undergoing 90Y-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:
Article Type:
scientifique
Faculty:
Economie et Services
School:
HEG-VS
Institute:
Institut Informatique de gestion
Subject(s):
Informatique
Date:
2017-12
Pagination:
10 p.
Published in:
Oncotarget
Numeration (vol. no.):
2017, vol. 9, no. 4, pp. 4549-4558
DOI:
ISSN:
1949-2553
Appears in Collection:



 Record created 2018-09-28, last modified 2018-12-20

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