期刊
PATTERN RECOGNITION
卷 42, 期 6, 页码 1162-1171出版社
ELSEVIER SCI LTD
DOI: 10.1016/j.patcog.2008.08.011
关键词
Positron emission tomography; Treatment outcomes; Uptake values; Image morphology; Intensity-volume histograms; Co-occurrence matrix; Tumor shape; Tumor heterogeneity
资金
- NIH [R01 CA 85181]
- American Cancer Society [IRG-58-010-50]
Accumulating evidence suggests that characteristics of pre-treatment FDG-PET could be used as prognostic factors to predict outcomes in different cancer sites. Current risk analyses are limited to visual assessment or direct uptake value measurements. We are investigating intensity-volume histogram metrics and shape and texture features extracted from PET images to predict patient's response to treatment. These approaches were demonstrated using datasets from cervix and head and neck cancers, where AUC of 0.76 and 1.0 were achieved, respectively. The preliminary results suggest that the proposed approaches could potentially provide better tools and discriminant power for utilizing functional imaging in clinical prognosis. (C) 2008 Elsevier Ltd. All rights reserved.
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