Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners

Volume: 8, Issue: 26, Pages: 43169 - 43179
Published: May 15, 2017
Abstract
To identify an imaging signature predicting local recurrence for locally advanced cervical cancer (LACC) treated by chemoradiation and brachytherapy from baseline 18F-FDG PET images, and to evaluate the possibility of gathering images from two different PET scanners in a radiomic study.118 patients were included retrospectively. Two groups (G1, G2) were defined according to the PET scanner used for image acquisition. Eleven radiomic features...
Paper Details
Title
Prediction of cervical cancer recurrence using textural features extracted from 18F-FDG PET images acquired with different scanners
Published Date
May 15, 2017
Journal
Volume
8
Issue
26
Pages
43169 - 43179
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