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Assessment of Cerebral Glucose Metabolism in Cat Deafness Model: Strategies for Improving the Voxel-Based Statistical Analysis for Animal PET Studies

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Abstract

Purpose

The aim of this study was to establish the procedures for 3D voxel-based statistical analysis of 2-deoxy-2-[18F]fluro-d-glucose-positron emission tomography (FDG-PET) images of a cat’s brain obtained using a small animal-dedicated PET system and to assess the utility of this approach in investigating the cerebral glucose metabolism in an animal model of cortical deafness.

Procedures

This study compared several different strategies for the spatial processing of PET data acquired twice from eight cats before and after inducing deafness in terms of the comparability of the statistical analysis results to the established pattern of the cerebral glucose metabolic changes in the deaf animals.

Results

The accuracy of the spatial preprocessing procedures and the statistical significance of the comparison were improved by removing the background activities outside the brain regions. The use of the spatial normalization parameters obtained from the mean image of the realigned data set for individual data also helped improve the statistical significance of the paired t testing. It was also found that an adjustment of the registration options was also important for increasing the precision of the realignment.

Conclusions

A method for voxel-based analysis of the PET data of a cat’s brain was optimized. The results demonstrated the high localization accuracy and specificity of this method, which is expected to be useful for examining the brain PET data of medium-sized animals such as cats.

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Acknowledgements

This work was supported by grants from the Seoul National University Hospital (04-2007-037) and the Basic Research Program of the Korea Science and Engineering Foundation (R01-2006-000-10296-0), Brain Research Center of the 21st Century Frontier Research Program (M103KV010017-07K2201-01710), and Basic Atomic Energy Research Institute Program (M20508050002-05B0805-00210, 2007-01022) funded by the Ministry of Science and Technology. The authors appreciate the experimental support of Kim Seung Jeong, Lee Ho Sun, and Park Soo-Ah and software application support of David L. Bailey (Siemens Molecular Imaging).

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Authors and Affiliations

  1. Department of Nuclear Medicine, Seoul National University College of Medicine, 28 Yungun-Dong, Chongno-Gu, Seoul, 110-744, South Korea

    Jin Su Kim, Jae Sung Lee, Hyejin Kang, Jong Jin Lee & Dong Soo Lee

  2. Department of Biomedical Sciences, Seoul National University College of Medicine, Seoul, South Korea

    Jae Sung Lee

  3. Departments of Otolaryngology—Head and Neck Surgery, Seoul National University College of Medicine, Seoul, South Korea

    Min-Hyun Park & Seung-Ha Oh

  4. Interdisciplinary Program in Radiation Applied Life Science Major, Seoul National University College of Medicine, Seoul, South Korea

    Jin Su Kim, Jae Sung Lee & Dong Soo Lee

  5. Institute of Radiation Medicine, Medical Research Center, Seoul National University College of Medicine, Seoul, South Korea

    Jin Su Kim, Jae Sung Lee & Dong Soo Lee

  6. Molecular Imaging Research Center, Korea Institute of Radiological and Medical Sciences, Seoul, South Korea

    Jin Su Kim & Sang-Moo Lim

  7. Department of Otolaryngology, Hallym University College of Medicine, Anyang, South Korea

    Hyo-Jeong Lee

  8. Department of Nuclear Medicine, University of Ulsan College of Medicine, Asan Medical Center, Seoul, South Korea

    Ki Chun Im & Dae Hyuk Moon

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  1. Jin Su Kim
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  10. Seung-Ha Oh
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  11. Dong Soo Lee
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Correspondence to Jae Sung Lee.

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Kim, J.S., Lee, J.S., Park, MH. et al. Assessment of Cerebral Glucose Metabolism in Cat Deafness Model: Strategies for Improving the Voxel-Based Statistical Analysis for Animal PET Studies. Mol Imaging Biol 10, 154–161 (2008). https://doi.org/10.1007/s11307-008-0140-9

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  • DOI: https://doi.org/10.1007/s11307-008-0140-9

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