Top

European Journal of Nuclear Medicine and Molecular Imaging

Published in:

Open Access 01-07-2018 | Original Article

Japanese multicenter database of healthy controls for [¹²³I]FP-CIT SPECT

Authors: Hiroshi Matsuda, Miho Murata, Yohei Mukai, Kazuya Sako, Hidetoshi Ono, Hiroshi Toyama, Yoshitaka Inui, Yasuyuki Taki, Hideo Shimomura, Hiroshi Nagayama, Amane Tateno, Kenjiro Ono, Hidetomo Murakami, Atsushi Kono, Shigeki Hirano, Satoshi Kuwabara, Norihide Maikusa, Masayo Ogawa, Etsuko Imabayashi, Noriko Sato, Harumasa Takano, Jun Hatazawa, Ryosuke Takahashi

Published in: European Journal of Nuclear Medicine and Molecular Imaging | Issue 8/2018

Abstract

Purpose

The aim of this multicenter trial was to generate a [¹²³I]FP-CIT SPECT database of healthy controls from the common SPECT systems available in Japan.

Methods

This study included 510 sets of SPECT data from 256 healthy controls (116 men and 140 women; age range, 30–83 years) acquired from eight different centers. Images were reconstructed without attenuation or scatter correction (NOACNOSC), with only attenuation correction using the Chang method (ChangACNOSC) or X-ray CT (CTACNOSC), and with both scatter and attenuation correction using the Chang method (ChangACSC) or X-ray CT (CTACSC). These SPECT images were analyzed using the Southampton method. The outcome measure was the specific binding ratio (SBR) in the striatum. These striatal SBRs were calibrated from prior experiments using a striatal phantom.

Results

The original SBRs gradually decreased in the order of ChangACSC, CTACSC, ChangACNOSC, CTACNOSC, and NOACNOSC. The SBRs for NOACNOSC were 46% lower than those for ChangACSC. In contrast, the calibrated SBRs were almost equal under no scatter correction (NOSC) conditions. A significant effect of age was found, with an SBR decline rate of 6.3% per decade. In the 30–39 age group, SBRs were 12.2% higher in women than in men, but this increase declined with age and was absent in the 70–79 age group.

Conclusions

This study provided a large-scale quantitative database of [¹²³I]FP-CIT SPECT scans from different scanners in healthy controls across a wide age range and with balanced sex representation. The phantom calibration effectively harmonizes SPECT data from different SPECT systems under NOSC conditions. The data collected in this study may serve as a reference database.

Available only for authorised users

Booij J, Tissingh G, Boer GJ, Speelman JD, Stoof JC, Janssen AG, et al. [¹²³I]FP-CIT SPECT shows a pronounced decline of striatal dopamine transporter labelling in early and advanced Parkinson's disease. J Neurol Neurosurg Psychiatry. 1997;62(2):133–40.CrossRefPubMedPubMedCentral

Walker Z, Costa DC, Walker RW, Shaw K, Gacinovic S, Stevens T, et al. Differentiation of dementia with Lewy bodies from Alzheimer's disease using a dopaminergic presynaptic ligand. J Neurol Neurosurg Psychiatry. 2002;73(2):134–40.CrossRefPubMedPubMedCentral

Albert NL, Unterrainer M, Diemling M, Xiong G, Bartenstein P, Koch W, et al. Implementation of the European multicentre database of healthy controls for [(123)I]FP-CIT SPECT increases diagnostic accuracy in patients with clinically uncertain parkinsonian syndromes. Eur J Nucl Med Mol Imaging. 2016;43(7):1315–22. https://doi.org/10.1007/s00259-015-3304-2.CrossRefPubMed

Söderlund TA, Dickson JC, Prvulovich E, Ben-Haim S, Kemp P, Booij J, et al. Value of semiquantitative analysis for clinical reporting of 123I-2-β-carbomethoxy-3β-(4-iodophenyl)-N-(3-fluoropropyl)nortropane SPECT studies. J Nucl Med. 2013;54(5):714–22. https://doi.org/10.2967/jnumed.112.110106.CrossRefPubMed

Meyer PT, Sattler B, Lincke T, Seese A, Sabri O. Investigating dopaminergic neurotransmission with 123I-FP-CIT SPECT: comparability of modern SPECT systems. J Nucl Med. 2003;44(5):839–45.PubMed

Koch W, Radau PE, Münzing W, Tatsch K. Cross-camera comparison of SPECT measurements of a 3-D anthropomorphic basal ganglia phantom. Eur J Nucl Med Mol Imaging. 2006;33(4):495–502.CrossRefPubMed

Dickson JC, Tossici-Bolt L, Sera T, de Nijs R, Booij J, Bagnara MC, et al. Proposal for the standardisation of multi-centre trials in nuclear medicine imaging: prerequisites for a European ¹²³I-FP-CIT SPECT database. Eur J Nucl Med Mol Imaging. 2012;39(1):188–97. https://doi.org/10.1007/s00259-011-1884-z.CrossRefPubMed

Dickson JC, Tossici-Bolt L, Sera T, Booij J, Ziebell M, Morbelli S, et al. The impact of reconstruction and scanner characterisation on the diagnostic capability of a normal database for [₁₂₃I]FP-CIT SPECT imaging. EJNMMI Res. 2017;7(1):10. https://doi.org/10.1186/s13550-016-0253-0.CrossRefPubMedPubMedCentral

Tossici-Bolt L, Dickson JC, Sera T, de Nijs R, Bagnara MC, Jonsson C, et al. Calibration of gamma camera systems for a multicentre European ¹²³I-FP-CIT SPECT normal database. Eur J Nucl Med Mol Imaging. 2011;38(8):1529–40. https://doi.org/10.1007/s00259-011-1801-5.CrossRefPubMed

10.

Movement Disorder Society Task Force on Rating Scales for Parkinson’s Disease. The unified Parkinson’s disease rating scale (UPDRS): status and recommendations. Mov Disord. 2003;18(7):738–50.CrossRef

11.

Steer RA, Beck AT, Riskind JH, Brown G. Differentiation of depressive disorders from generalized anxiety by the Beck depression inventory. J Clin Psychol. 1986;42(3):475–8.CrossRefPubMed

12.

Steer RA, Brown GK, Beck AT, Sanderson WC. Mean Beck depression inventory-II scores by severity of major depressive episode. Psychol Rep. 2001;88(3 Pt 2):1075–6.PubMed

13.

Fujiwara Y, Suzuki H, Yasunaga M, Sugiyama M, Ijuin M, Sakuma N, et al. Brief screening tool for mild cognitive impairment in older Japanese: validation of the Japanese version of the Montreal cognitive assessment. Geriatr Gerontol Int. 2010;10(3):225–32. https://doi.org/10.1111/j.1447-0594.2010.00585.x.CrossRefPubMed

14.

Oldfield RC. The assessment and analysis of handedness: the Edinburgh inventory. Neuropsychologia. 1971;9(1):97–113.CrossRefPubMed

15.

Fazekas F, Chawluk JB, Alavi A, Hurtig HI, Zimmerman RA. MR signal abnormalities at 1.5 T in Alzheimer's dementia and normal aging. AJR Am J Roentgenol. 1987;149(2):351–6.CrossRefPubMed

16.

American Psychiatric Association. Diagnostic and statistical manual of mental disorders. 5th ed. Washington, DC: American Psychiatric Association; 2013.CrossRef

17.

Kägi G, Bhatia KP, Tolosa E. The role of DAT-SPECT in movement disorders. J Neurol Neurosurg Psychiatry. 2010;81(1):5–12.CrossRefPubMed

18.

Booij J, de Jong J, de Bruin K, Knol R, de Win MM, van Eck-Smit BL. Quantification of striatal dopamine transporters with 123I-FP-CIT SPECT is influenced by the selective serotonin reuptake inhibitor paroxetine: a double-blind, placebo-controlled, crossover study in healthy control subjects. J Nucl Med. 2007;48(3):359–66.PubMed

19.

Miyamoto T, Miyamoto M, Iwanami M, Kobayashi M, Nakamura M, Inoue Y, et al. The REM sleep behavior disorder screening questionnaire: validation study of a Japanese version. Sleep Med. 2009;10(10):1151–4. https://doi.org/10.1016/j.sleep.2009.05.007.CrossRefPubMed

20.

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(12):1491–9.CrossRefPubMed

21.

Lavalaye J, Booij J, Reneman L, Habraken JB, van Royen EA. Effect of age and gender on dopamine transporter imaging with [123I]FP-CIT SPET in healthy volunteers. Eur J Nucl Med. 2000;27(7):867–9.CrossRefPubMed

22.

Thomsen G, Knudsen GM, Jensen PS, Ziebell M, Holst KK, Asenbaum S, et al. No difference in striatal dopamine transporter availability between active smokers, ex-smokers and non-smokers using [¹²³I]FP-CIT (DaTSCAN) and SPECT. EJNMMI Res. 2013;3(1):39. https://doi.org/10.1186/2191-219X-3-39.CrossRefPubMedPubMedCentral

23.

Varrone A, Dickson JC, Tossici-Bolt L, Sera T, Asenbaum S, Booij J, et al. European multicentre database of healthy controls for [123I]FP-CIT SPECT (ENC-DAT): age-related effects, gender differences and evaluation of different methods of analysis. Eur J Nucl Med Mol Imaging. 2013;40(2):213–27. https://doi.org/10.1007/s00259-012-2276-8.CrossRefPubMed

24.

Nobili F, Naseri M, De Carli F, Asenbaum S, Booij J, Darcourt J, et al. Automatic semi-quantification of [123I]FP-CIT SPECT scans in healthy volunteers using BasGan version 2: results from the ENC-DAT database. Eur J Nucl Med Mol Imaging. 2013 Apr;40(4):565–73. https://doi.org/10.1007/s00259-012-2304-8.CrossRefPubMed

25.

Eusebio A, Azulay JP, Ceccaldi M, Girard N, Mundler O, Guedj E. Voxel-based analysis of whole-brain effects of age and gender on dopamine transporter SPECT imaging in healthy subjects. Eur J Nucl Med Mol Imaging. 2012;39(11):1778–83. https://doi.org/10.1007/s00259-012-2207-8.CrossRefPubMed

26.

Jakobson Mo S, Larsson A, Linder J, Birgander R, Edenbrandt L, Stenlund H, et al. ¹²³I-FP-Cit and 123I-IBZM SPECT uptake in a prospective normal material analysed with two different semiquantitative image evaluation tools. Nucl Med Commun. 2013;34(10):978–89.CrossRefPubMed

27.

Kaasinen V, Joutsa J, Noponen T, Johansson J, Seppänen M. Effects of aging and gender on striatal and extrastriatal [123I]FP-CIT binding in Parkinson's disease. Neurobiol Aging. 2015;36(4):1757–63. https://doi.org/10.1016/j.neurobiolaging.2015.01.016.CrossRefPubMed

28.

Yamamoto H, Arimura S, Nakanishi A, Shimo Y, Motoi Y, Ishiguro K, et al. Age-related effects and gender differences in Japanese healthy controls for [123I] FP-CIT SPECT. Ann Nucl Med. 2017;31(5):407–12. https://doi.org/10.1007/s12149-017-1168-1.CrossRefPubMed

29.

Gibb WR, Lees AJ. Anatomy, pigmentation, ventral and dorsal subpopulations of the substantia nigra, and differential cell death in Parkinson's disease. J Neurol Neurosurg Psychiatry. 1991;54(5):388–96.CrossRefPubMedPubMedCentral

30.

Fearnley JM, Lees AJ. Ageing and Parkinson's disease: substantia nigra regional selectivity. Brain. 1991;114(Pt 5):2283–301.CrossRefPubMed

31.

Raz N, Rodrigue KM, Kennedy KM, Head D, Gunning-Dixon F, Acker JD. Differential aging of the human striatum: longitudinal evidence. AJNR Am J Neuroradiol. 2003;24(9):1849–56.PubMed

32.

Laakso A, Vilkman H, Bergman J, Haaparanta M, Solin O, Syvälahti E, et al. Sex differences in striatal presynaptic dopamine synthesis capacity in healthy subjects. Biol Psychiatry. 2002;52(7):759–63.CrossRefPubMed

33.

Becker JB. Gender differences in dopaminergic function in striatum and nucleus accumbens. Pharmacol Biochem Behav. 1999;64(4):803–12.CrossRefPubMed

34.

Walker QD, Rooney MB, Wightman RM, Kuhn CM. Dopamine release and uptake are greater in female than male rat striatum as measured by fast cyclic voltammetry. Neuroscience. 2000;95(4):1061–70.CrossRefPubMed

35.

Gunning-Dixon FM, Head D, McQuain J, Acker JD, Raz N. Differential aging of the human striatum: a prospective MR imaging study. AJNR Am J Neuroradiol. 1998;19(8):1501–7.PubMed

36.

Tossici-Bolt L, Dickson JC, Sera T, Booij J, Asenbaun-Nan S, Bagnara MC, et al. [¹²³I]FP-CIT ENC-DAT normal database: the impact of the reconstruction and quantification methods. EJNMMI Phys. 2017;4(1):8. https://doi.org/10.1186/s40658-017-0175-6.CrossRefPubMedPubMedCentral

37.

Yokoyama K, Imabayashi E, Sumida K, Sone D, Kimura Y, Sato N, et al. Computed-tomography-guided anatomic standardization for quantitative assessment of dopamine transporter SPECT. Eur J Nucl Med Mol Imaging. 2017;44(3):366–72. https://doi.org/10.1007/s00259-016-3496-0.CrossRefPubMed

Title: Japanese multicenter database of healthy controls for [123I]FP-CIT SPECT
Authors: Hiroshi Matsuda
Miho Murata
Yohei Mukai
Kazuya Sako
Hidetoshi Ono
Hiroshi Toyama
Yoshitaka Inui
Yasuyuki Taki
Hideo Shimomura
Hiroshi Nagayama
Amane Tateno
Kenjiro Ono
Hidetomo Murakami
Atsushi Kono
Shigeki Hirano
Satoshi Kuwabara
Norihide Maikusa
Masayo Ogawa
Etsuko Imabayashi
Noriko Sato
Harumasa Takano
Jun Hatazawa
Ryosuke Takahashi
Publication date: 01-07-2018
Publisher: Springer Berlin Heidelberg
Published in: European Journal of Nuclear Medicine and Molecular Imaging / Issue 8/2018
Print ISSN: 1619-7070
Electronic ISSN: 1619-7089
DOI: https://doi.org/10.1007/s00259-018-3976-5

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Japanese multicenter database of healthy controls for [¹²³I]FP-CIT SPECT

Abstract

Purpose

Methods

Results

Conclusions

Keynote webinar | Spotlight on medication adherence

Springer Medicine

Abstract

Purpose

Methods

Results

Conclusions

Please log in to get access to this content

Other articles of this Issue 8/2018

[18F]FDG PET/MR enterography for the assessment of inflammatory activity in Crohn’s disease: comparison of different MRI and PET parameters

Tumor metabolism assessed by FDG-PET/CT and tumor proliferation assessed by genomic grade index to predict response to neoadjuvant chemotherapy in triple negative breast cancer

Prognostic role of serial quantitative evaluation of 18F-fluorodeoxyglucose uptake by PET/CT in patients with cardiac sarcoidosis presenting with ventricular tachycardia

TSPO PET with [18F]GE-180 sensitively detects focal neuroinflammation in patients with relapsing–remitting multiple sclerosis

Is there an optimal method for measuring baseline metabolic tumor volume in diffuse large B cell lymphoma?

Feasibility of state of the art PET/CT systems performance harmonisation