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Literature DB >> 10405755

Head and neck cancer: detection of recurrence with three-dimensional principal components analysis at dynamic FDG PET.

Y Anzai¹, S Minoshima, G T Wolf, R L Wahl.

Abstract

Fully automated principal components analysis (PCA) was applied to dynamic 2-[fluorine-18]fluoro-2-deoxy-D-glucose (FDG) positron emission tomographic (PET) images obtained in 15 patients with previously treated head and neck cancer. PCA with time-activity curves incorporated kinetic information about FDG uptake, which improved tissue characterization on FDG PET images. The combination of standardized uptake value and PCA image sets likely will improve the reliability of tumor detection in head and neck cancers.

Entities: Chemical Disease Species

Mesh：

Substances：
Fluorodeoxyglucose F18

Year: 1999 PMID： 10405755 DOI： 10.1148/radiology.212.1.r99jl02285

Source DB: PubMed Journal: Radiology ISSN： 0033-8419 Impact factor: 11.105

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Cited

9 in total

9. The 2D Hotelling filter - a quantitative noise-reducing principal-component filter for dynamic PET data, with applications in patient dose reduction.

Authors: Jan Axelsson; Jens Sörensen
Journal: BMC Med Phys Date: 2013-04-10

9 in total

Head and neck cancer: detection of recurrence with three-dimensional principal components analysis at dynamic FDG PET.

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Review 2. Dynamic whole-body PET imaging: principles, potentials and applications.

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Review 4. The role of SPET and PET in monitoring tumour response to therapy.

5. Zero-Extra-Dose PET Delayed Imaging with Data-Driven Attenuation Correction Estimation.

6. Analysis and interpretation of dynamic FDG PET oncological studies using data reduction techniques.

Review 7. FDG PET/CT in carcinoma of unknown primary.

8. The Potential Benefit by Application of Kinetic Analysis of PET in the Clinical Oncology.

9. The 2D Hotelling filter - a quantitative noise-reducing principal-component filter for dynamic PET data, with applications in patient dose reduction.