Abstract
Objective
This work assessed the usefulness of fully three-dimensional ordered subset expectation maximization (3D-OSEM) algorithm for lymph node (LN) metastases from lung cancer. 3D-OSEM images were evaluated by comparing them with those reconstructed by conventional algorithms, such as conventional OSEM algorithm (2D-OSEM) for 2D acquisition and Fourier rebinning plus conventional OSEM algorithm (FORE + OSEM) for 3D acquisition.
Materials and methods
In a phantom study, the contrast ratio, the image noise and the signal-to-noise ratio (SNR) were calculated, and the detectability and the image quality of these images were visually evaluated. In a clinical study, 14 patients suffering from lung cancer with LN metastases were evaluated. The image quality and the malignancy, and the detectability were visually evaluated.
Results
The contrast ratio was significantly improved using 3D-OSEM as compared with FORE + OSEM, and it was similar to 2D-OSEM. The image noise and SNR in 3D-OSEM images were significantly improved compared with those by other algorithms (p < 0.001). In the visual assessment, the image quality was significantly improved in 3D-OSEM images compared with those by 2D-OSEM and FORE + OSEM (p < 0.001, p = 0.001, respectively). In the clinical study, the image quality and the detectability of LN metastases were improved in 3D-OSEM images compared with those by FORE + OSEM (p < 0.001, p = 0.006, respectively), and image quality and detectability were similar to those of 2D-OSEM images.
Conclusions
3D-OSEM algorithm successfully improved the diagnostic accuracy of LN metastases in 3D-PET tests.
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Acknowledgments
We thank Elisabeth Berg, B.Sc. and Chikako Suzuki, M.D., Karolinska Institute for their advice on statistical analysis. And, we sincerely appreciate thoracic oncologists and surgeons in National Cancer Center Hospital East for their cooperation for this study. This work was supported by the Foundation for the Promotion of Cancer Research for the Third Term Comprehensive 10-year Strategy for Cancer Control. This work was partially supported by the Health and Labor Sciences Research Grants for Third Term Comprehensive 10-year Strategy for Cancer Control, the Grants-in-Aid for Cancer Research (17–12) from the Ministry of Health, Labor and Welfare, and the Grants-in-Aid for Scientific Research (C) (No. 19591743) from Japan Society for the Promotion of Science. Dr. Hirofumi Fujii is research member of JST-BIRD.
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Inoue, K., Moriya, E., Suzuki, T. et al. The usefulness of fully three-dimensional OSEM algorithm on lymph node metastases from lung cancer with 18F-FDG PET/CT. Ann Nucl Med 25, 277–287 (2011). https://doi.org/10.1007/s12149-010-0462-y
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DOI: https://doi.org/10.1007/s12149-010-0462-y