| Coregistered FDG PET/CT-based textural characterization of head and neck cancer for radiation treatment planning. | |
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MedLine Citation:
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PMID: 19244009 Owner: NLM Status: MEDLINE |
Abstract/OtherAbstract:
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Coregistered fluoro-deoxy-glucose (FDG) positron emission tomography/computed tomography (PET/CT) has shown potential to improve the accuracy of radiation targeting of head and neck cancer (HNC) when compared to the use of CT simulation alone. The objective of this study was to identify textural features useful in distinguishing tumor from normal tissue in head and neck via quantitative texture analysis of coregistered 18F-FDG PET and CT images. Abnormal and typical normal tissues were manually segmented from PET/CT images of 20 patients with HNC and 20 patients with lung cancer. Texture features including some derived from spatial grey-level dependence matrices (SGLDM) and neighborhood gray-tone-difference matrices (NGTDM) were selected for characterization of these segmented regions of interest (ROIs). Both K nearest neighbors (KNNs) and decision tree (DT)-based KNN classifiers were employed to discriminate images of abnormal and normal tissues. The area under the curve (AZ) of receiver operating characteristics (ROC) was used to evaluate the discrimination performance of features in comparison to an expert observer. The leave-one-out and bootstrap techniques were used to validate the results. The AZ of DT-based KNN classifier was 0.95. Sensitivity and specificity for normal and abnormal tissue classification were 89% and 99%, respectively. In summary, NGTDM features such as PET Coarseness, PET Contrast, and CT Coarseness extracted from FDG PET/CT images provided good discrimination performance. The clinical use of such features may lead to improvement in the accuracy of radiation targeting of HNC. |
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Authors:
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Huan Yu; Curtis Caldwell; Katherine Mah; Daniel Mozeg |
Publication Detail:
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Type: Journal Article; Research Support, Non-U.S. Gov't |
Journal Detail:
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Title: IEEE transactions on medical imaging Volume: 28 ISSN: 1558-254X ISO Abbreviation: IEEE Trans Med Imaging Publication Date: 2009 Mar |
Date Detail:
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Created Date: 2009-02-26 Completed Date: 2009-06-25 Revised Date: 2012-04-24 |
Medline Journal Info:
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Nlm Unique ID: 8310780 Medline TA: IEEE Trans Med Imaging Country: United States |
Other Details:
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Languages: eng Pagination: 374-83 Citation Subset: IM |
Affiliation:
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Department of Medical Biophysics, University of Toronto, Toronto, ON, M4N 3M5 Canada. hyu@swri.ca |
Export Citation:
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APA/MLA Format Download EndNote Download BibTex |
| MeSH Terms | |
Descriptor/Qualifier:
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Algorithms Area Under Curve Fluorodeoxyglucose F18 / diagnostic use* Head and Neck Neoplasms / radiography, radionuclide imaging*, radiotherapy Humans Image Processing, Computer-Assisted / methods* Lung Neoplasms / radionuclide imaging Pattern Recognition, Automated / methods* Positron-Emission Tomography / methods* ROC Curve Radiotherapy Planning, Computer-Assisted* Reproducibility of Results Sensitivity and Specificity Tomography, X-Ray Computed |
| Chemical | |
Reg. No./Substance:
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63503-12-8/Fluorodeoxyglucose F18 |
From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine
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