The effects of segmentation algorithms on the measurement of 18F-FDG PET texture parameters in non-small cell lung cancer

The effects of segmentation algorithms on the measurement of 18F-FDG PET texture parameters in non-small cell lung cancer

Abstract Background Measures of tumour heterogeneity derived from 18-fluoro-2-deoxyglucose positron emission tomography/computed tomography (18F-FDG PET/CT) scans are increasingly reported as potential biomarkers of non-small cell lung cancer (NSCLC) for classification and prognostication. Several s...

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Bibliographic Details
Main Authors: Usman Bashir, Gurdip Azad, Muhammad Musib Siddique, Saana Dhillon, Nikheel Patel, Paul Bassett, David Landau, Vicky Goh, Gary Cook
Format: Article
Language:English
Published: SpringerOpen 2017-07-01
Series:EJNMMI Research
Subjects:
18F-FDG PET
Segmentation
Inter-observer reproducibility
Non-small cell lung cancer
Prognosis
Online Access:http://link.springer.com/article/10.1186/s13550-017-0310-3

Internet

http://link.springer.com/article/10.1186/s13550-017-0310-3

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