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Feasibility of PET Template-Based Analysis on F-18 FP-CIT PET in Patients with De Novo Parkinson’s Disease

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Abstract

Purpose

The aim of this study was to evaluate the feasibility of FP-CIT PET template-based quantitative analysis on F-18 FP-CIT PET in patients with de novo Parkinson’s disease (PD), compared with MR-based and manual methods. We also assessed the correlation of quantitative parameters of those methods with clinical severity of the disease.

Methods

Forty patients with de novo PD underwent both MRI and F-18 FP-CIT PET. Images were spatially normalized to a standardized PET template. Mean counts of 4 ROIs: putamen, caudate, occipital cortex and cerebellum, were obtained using the quantification program, Korean Statistical Probabilistic Anatomical Map (KSPAM). Putamen-to-caudate ratio (PCR), asymmetry index (ASI), specific-to-nonspecific ratios with two different references: to occipital cortex (SOR) and cerebellum (SCR) were compared. Parameters were also calculated from manually drawn ROI method and MR-coregistrated method.

Results

All quantitative parameters showed significant correlations across the three different methods, especially between the PET-based and manual methods. Among them, PET-based SOR and SCR values showed an excellent correlation and concordance with those of manual method. In relationship with clinical severity, only ASI achieved significantly inverse correlations with H&Y stage and UPDRS motor score. There was no significant difference between the quantitative parameters of both occipital cortex and cerebellum in all three methods, which implied that quantitation using PET-based method could be reproducible regardless of the reference region.

Conclusions

Quantitative parameters using FP-CIT PET template-based method correlated well with those using laborious manual method with excellent concordance. Moreover, PET-based quantitation was less influenced by the reference region than MR-based method. It suggests that PET-based method can provide objective and quantitative parameters quickly and easily as a feasible analysis in place of conventional method.

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References

  1. Ma Y, Dhawan V, Mentis M, Chaly T, Spetsieris PG, Eidelberg D. Parametric mapping of [18F]FPCIT binding in early stage Parkinson’s disease: a PET study. Synapse. 2002;45:125–33.

    Article  PubMed  CAS  Google Scholar 

  2. Kazumata K, Dhawan V, Chaly T, Antonini A, Margouleff C, Belakhlef A, et al. Dopamine transporter imaging with fluorine-18-FPCIT and PET. J Nucl Med. 1998;39:1521–30.

    PubMed  CAS  Google Scholar 

  3. Wang J, Zuo CT, Jiang YP, Guan YH, Chen ZP, Xiang JD, et al. 18F-FP-CIT PET imaging and SPM analysis of dopamine transporters in Parkinson’s disease in various Hoehn & Yahr stages. J Neurol. 2007;254:185–90.

    Article  PubMed  CAS  Google Scholar 

  4. Oh M, Kim JS, Kim JY, Shin KH, Park SH, Kim HO, et al. Subregional patterns of preferential striatal dopamine transporter loss differ in Parkinson disease, progressive supranuclear palsy, and multiple-system atrophy. J Nucl Med. 2012;53:399–406.

    Article  PubMed  CAS  Google Scholar 

  5. Oh JK. Clinical significance of F-18 FP-CIT dual time point pet imaging in idiopathic Parkinson’s disease. Nucl Med Mol Imaging. 2011;45:255–60.

    Article  Google Scholar 

  6. Chun HJ. Clinical significance of 123I-IPT SPECT for the diagnosis of the Parkinson’s disease. J Korean Neurosurg Soc. 2003;34:104–9.

    Google Scholar 

  7. Benamer TS, Patterson J, Grosset DG, Booij J, de Bruin K, van Royen E, et al. Accurate differentiation of parkinsonism and essential tremor using visual assessment of [123I]-FP-CIT SPECT imaging: the [123I]-FP-CIT study group. Mov Disord. 2000;15:503–10.

    Article  PubMed  CAS  Google Scholar 

  8. Acton PD, Newberg A, Plossl K, Mozley PD. Comparison of region-of-interest analysis and human observers in the diagnosis of Parkinson’s disease using [99mTc]TRODAT-1 and SPECT. Phys Med Biol. 2006;51:575–85.

    Article  PubMed  Google Scholar 

  9. Ortega Lozano SJ, Martinez Del Valle Torres MD, Ramos Moreno E, Sanz Viedma S, Amrani Raissouni T, Jimenez-Hoyuela JM. Quantitative evaluation of SPECT with FP-CIT. Importance of the reference area. Rev Esp Med Nucl. 2010;29:246–50.

    Article  PubMed  CAS  Google Scholar 

  10. Tossici-Bolt L, Hoffmann SM, Kemp PM, Mehta RL, Fleming JS. Quantification of [123I]FP-CIT SPECT brain images: an accurate technique for measurement of the specific binding ratio. Eur J Nucl Med Mol Imaging. 2006;33:1491–9.

    Article  PubMed  Google Scholar 

  11. Filippi L, Bruni C, Padovano F, Schillaci O, Simonetti G. The value of semi-quantitative analysis of 123I-FP-CIT SPECT in evaluating patients with Parkinson’s disease. Neuroradiol J. 2008;21:505.

    Google Scholar 

  12. Kim BS. The discriminating nature of dopamine transporter image in Parkinsonism: the competency of dopaminergic transporter imaging in differential diagnosis of Parkinsonism: 123I-FP-CIT SPECT study. Nucl Med Mol Imaging. 2007;41:272–9.

    Google Scholar 

  13. Lee JS. Quantification of brain images using Korean standard templates and structural and cytoarchitectonic probabilistic maps. Korean J Nucl Med. 2004;38:241–52.

    Google Scholar 

  14. Koo BB. Developing a Korean standard brain atlas on the basis of statistical and probabilistic approach and visualization tool for functional image analysis. Korean J Nucl Med. 2003;37:162–70.

    Google Scholar 

  15. Lee JS, Lee DS. Analysis of functional brain images using population-based probabilistic atlas. Curr Med Imaging Rev. 2005;1:81–7.

    Article  Google Scholar 

  16. Scherfler C, Seppi K, Donnemiller E, Goebel G, Brenneis C, Virgolini I, et al. Voxel-wise analysis of [123I]beta-CIT SPECT differentiates the Parkinson variant of multiple system atrophy from idiopathic Parkinson’s disease. Brain. 2005;128(Pt 7):1605–12.

    Article  PubMed  Google Scholar 

  17. Choi JY, Lee KH, Na DL, Byun HS, Lee SJ, Kim H, et al. Subcortical aphasia after striatocapsular infarction: quantitative analysis of brain perfusion SPECT using statistical parametric mapping and a statistical probabilistic anatomic map. J Nucl Med. 2007;48:194–200.

    PubMed  Google Scholar 

  18. Lee TH, Kim SJ, Kim IJ, Kim YK, Kim DS, Park KP. Statistical parametric mapping and statistical probabilistic anatomical mapping analyses of basal/acetazolamide Tc-99 m ECD brain SPECT for efficacy assessment of endovascular stent placement for middle cerebral artery stenosis. Neuroradiol. 2007;49:289–98.

    Article  Google Scholar 

  19. Lee DS, Lee JS, Kang KW, Jang MJ, Lee SK, Chung JK, et al. Disparity of perfusion and glucose metabolism of epileptogenic zones in temporal lobe epilepsy demonstrated by SPM/SPAM analysis on 15O water PET, [18F]FDG-PET, and [99mTc]-HMPAO SPECT. Epilepsia. 2001;42:1515–22.

    Article  PubMed  CAS  Google Scholar 

  20. Hoehn MM, Yahr MD. Parkinsonism: onset, progression and mortality. Neurology. 1967;17:427–42.

    Article  PubMed  CAS  Google Scholar 

  21. Fahn S, Elton R, Committee. MotUD. The unified Parkinson’s disease rating scale. In: Fahn SMC, Calne DB, Goldstein M, editors. Recent developments in Parkinson’s disease. Florham Park: Macmillan Healthcare Information; 1987. p. 154–63. pp293–304.

    Google Scholar 

  22. Lee SJ, Oh SJ, Chi DY, Kang SH, Kil HS, Kim JS, et al. One-step high-radiochemical-yield synthesis of [18F]FP-CIT using a protic solvent system. Nucl Med Biol. 2007;34:345–51.

    Article  PubMed  CAS  Google Scholar 

  23. Lee SJ, Oh SJ, Moon WY, Choi MS, Kim JS, Chi DY, et al. New automated synthesis of [18F]FP-CIT with base amount control affording high and stable radiochemical yield: a 1.5-year production report. Nucl Med Biol. 2011;38:593–7.

    Article  PubMed  CAS  Google Scholar 

  24. Lee JS, Park KS, Lee DS, Lee CW, Chung JK, Lee MC. Development and applications of a software for Functional Image Registration (FIRE). Comput Methods Programs Biomed. 2005;78:157–64.

    Article  PubMed  Google Scholar 

  25. Talairach J, Tournoux P. Co-planar stereotaxic atlas of the human brain. Stuttgart: Thieme; 1988.

    Google Scholar 

  26. Takada S, Yoshimura M, Shindo H, Saito K, Koizumi K, Utsumi H, et al. New semiquantitative assessment of 123I-FP-CIT by an anatomical standardization method. Ann Nucl Med. 2006;20:477–84.

    Article  PubMed  CAS  Google Scholar 

  27. Calvini P, Rodriguez G, Inguglia F, Mignone A, Guerra UP, Nobili F. The basal ganglia matching tools package for striatal uptake semi-quantification: description and validation. Eur J Nucl Med Mol Imaging. 2007;34:1240–53.

    Article  PubMed  Google Scholar 

  28. Ishikawa T, Dhawan V, Kazumata K, Chaly T, Mandel F, Neumeyer J, et al. Comparative nigrostriatal dopaminergic imaging with iodine-123-beta CIT-FP/SPECT and fluorine-18-FDOPA/PET. J Nucl Med. 1996;37:1760–5.

    PubMed  CAS  Google Scholar 

  29. Asenbaum S, Brücke T, Pirker W, Podreka I, Angelberger P, Wenger S, et al. Imaging of dopamine transporters with iodine-123-beta-CIT and SPECT in Parkinson’s disease. J Nucl Med. 1997;38:1–6.

    PubMed  CAS  Google Scholar 

  30. Rinne JO, Ruottinen H, Bergman J, Haaparanta M, Sonninen P, Solin O. Usefulness of a dopamine transporter PET ligand [18F]β-CFT in assessing disability in Parkinson’s disease. J Neurol Neurosurg Psychiatry. 1999;67:737–41.

    Article  PubMed  CAS  Google Scholar 

  31. Hubbuch M, Farmakis G, Schaefer A, Behnke S, Schneider S, Hellwig D, et al. FP-CIT SPECT does not predict the progression of motor symptoms in Parkinson’s disease. Eur Neurol. 2011;65:187–92.

    Article  PubMed  CAS  Google Scholar 

Download references

Acknowledgments

This study was partly supported by Korea University Research Special Grants (2011-K1131781, 2011-K1132941). We had no conflicts of interest relevant to this study.

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Authors and Affiliations

  1. Department of Nuclear Medicine, Korea University Medical Center, Seoul, 136-705, Korea

    Eugene Jeong, Sun Young Oh, Kisoo Pahk, Gi Jeong Cheon & Jae Gol Choe

  2. Department of Neurology, Korea University Medical Center, Seoul, Korea

    Chan-Nyoung Lee & Kun-Woo Park

  3. Department of Nuclear Medicine, Seoul National University College of Medicine, Seoul, Korea

    Jae Sung Lee & Gi Jeong Cheon

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  1. Eugene Jeong
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  2. Sun Young Oh
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Correspondence to Gi Jeong Cheon.

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Jeong, E., Oh, S.Y., Pahk, K. et al. Feasibility of PET Template-Based Analysis on F-18 FP-CIT PET in Patients with De Novo Parkinson’s Disease. Nucl Med Mol Imaging 47, 73–80 (2013). https://doi.org/10.1007/s13139-013-0196-6

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  • DOI: https://doi.org/10.1007/s13139-013-0196-6

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