Radiological Physics and Technology

, Volume 8, Issue 2, pp 224–231 | Cite as

Impact of injected dose and acquisition time on a normal database by use of 3D-SSP in SPECT images: quantitative simulation studies

  • Hideo Onishi
  • Jun Hatazawa
  • Jyoji Nakagawara
  • Kengo Ito
  • Sang Kil Ha-Kawa
  • Yasuhiko Masuda
  • Keiichi Sugibayashi
  • Masaaki Takahashi
  • Kei Kikuchi
  • Noboru Katsuta
Article
  • 308 Downloads

Abstract

The present study aimed to validate the accuracy of normal databases (NDBs) with respect to variable injected doses and acquisition times by use of three-dimensional stereotactic surface projections (3D-SSP) in N-isopropyl-p-[123I]-iodoamphetamine (I-123-IMP) brain perfusion images. We constructed NDBs based on brain SPECT images obtained from 29 healthy volunteers. Each NDB was rebuilt under simulated unique conditions by use of dynamic acquisition datasets and comprised injected doses (222, 167, and 111 MBq) and acquisition times (30, 20, and 15 min). We selected seven of 29 datasets derived from the volunteers to simulate patients’ data (PD). The simulated PD were designed to include regions of hypoperfusion. The study comprised protocol A (same conditions for PD and NDB) and protocol B (mismatched conditions for PD and NDB). We used 3D-SSP to compare with the Z score and detection error. The average Z scores were decreased significantly in protocol A [PD (High)–NDB (High) vs. PD (Low)–NDB (Low); PD (30 m)–NDB (30 m) vs. PD (15 m)–NDB (15 m) and PD (20 m)–NDB (20 m)].The average Z scores of PD (High) and PD (Medium) with NDB (High) did not differ significantly in protocol B, whereas all others were decreased significantly. The error of detection increased 6.65 % (protocol A) and 32.05 % (protocol B). The Z scores were specific to the injected dose and acquisition time used in 3D-SSP studies, and the calculated Z scores were affected by mismatched injected doses and acquisition times between PD and selected NDBs.

Keywords

Alzheimer’s disease Z score Three-dimensional stereotactic surface projection I-123 iodoamphetamine Early detection 

Notes

Acknowledgments

The authors wish to thank Dr. Uji Asano of Kitasato University and Dr. Kazunari Ishii of Kinki University and Dr. Masanobu Syabana of Matsue City Hospital.

Conflict of interest

The authors declare that they have no conflict of interest.

References

  1. 1.
    Minoshima S, Giordani B, Berent S, Frey KA, Foster NL, Kuhl DE. Metabolic reduction in the posterior cingulate cortex in very early Alzheimer’s disease. Ann Neurol. 1997;42:85–94.PubMedCrossRefGoogle Scholar
  2. 2.
    Matsuda H. Cerebral blood flow and metabolic abnormalities in Alzheimer’s disease. Ann Nucl Med. 2001;15:85–92.PubMedCrossRefGoogle Scholar
  3. 3.
    Ishii K. Clinical application of positron emission tomography for diagnosis of dementia. Ann Nucl Med. 2002;16:515–25.PubMedCrossRefGoogle Scholar
  4. 4.
    Kogure D, Matsuda H, Ohnishi T, Asada T, Uno M, Kunihiro T, et al. Longitudinal evaluation of early Alzheimer’s disease using brain perfusion SPECT. J Nucl Med. 2000;41:1155–62.PubMedGoogle Scholar
  5. 5.
    Hirao K, Ohnishi T, Matsuda H, Nemoto K, Hirata Y, Yamashita F, et al. Functional interaction between entorhinal cortex and posterior cingulate cortex at the very early stage of Alzheimer’s disease using brain perfusion single-photon emission computed tomography. Nucl Med Commun. 2006;27:151–6.PubMedCrossRefGoogle Scholar
  6. 6.
    Imabayashi E, Matsuda H, Asada T, Ohnishi T, Sakamoto S, Nakano S, et al. Superiority of 3-dimensional stereotactic surface projection analysis over visual inspection in discrimination of patients with very early Alzheimer’s disease from controls using brain perfusion SPECT. J Nucl Med. 2004;45:1450–7.PubMedGoogle Scholar
  7. 7.
    Nishimura M, Matsuda H, Imabayashi E, Kuji I, Sato N. Comparison of SPM and NEUROSTAT in voxel wise statistical analysis of brain SPECT and MRI at the early stage of Alzheimer’s disease. Ann Nucl Med. 2008;22:921–7.CrossRefGoogle Scholar
  8. 8.
    Minoshima S, Frey KA, Koeppe RA, Foster NL, Kuhl DE. A diagnostic approach in Alzheimer’s disease using three-dimensional stereotactic surface projections of fluorine-18-FDG PET. J Nucl Med. 1995;36:1238–48.PubMedGoogle Scholar
  9. 9.
    Onishi H, Matsutomo N, Kai Y, Kangai Y, Amijima H, Yamaguchi T. Evaluation of a novel normal database with matched SPECT systems and optimal pre-filter parameters for 3D-SSP. Ann Nucl Med. 2012;26:16–25.PubMedCrossRefGoogle Scholar
  10. 10.
    Onishi H, Hatazawa J, Nakagawara J, Ito K, Kawa S, Masuda Y, et al. Availability of normal database by single photon emission computed tomography system with use of 3 dimensional-stereotactic surface projections. Nihon Hōshasen Gijutsu Gakkai Zasshi. 2012;68:1608–16 (in Japanese).PubMedCrossRefGoogle Scholar
  11. 11.
    Mizumura S, Kumita S, Cho K, Ishihara M, Nakajo H, Toba M, et al. Development of quantitative analysis method for stereotactic brain image: assessment of reduced accumulation in extent and severity using anatomical segmentation. Ann Nucl Med. 2003;17:289–95.PubMedCrossRefGoogle Scholar
  12. 12.
    Onishi H, Matsutake Y, Matsutomo N, Kai Y, Amijima H. Effect of pre-filtering cut-off frequency and scatter and attenuation corrections during normal database creation for statistical imaging analysis of the brain. J Nucl Med Technol. 2011;39:231–6.PubMedCrossRefGoogle Scholar
  13. 13.
    Shimada H, Okake H, Higuchi T, Arisaka Y, Oriuchi N, Endo K. Normal database (NDB) of 123I-IMP brain perfusion SPECT examination is affected by statistical image analysis in the presence or absence of scatter correction and attenuation correction. Kaku Igaku. 2012;49:341–9 (in Japanese).PubMedGoogle Scholar
  14. 14.
    Ishii K, Hanaoka K, Okada M, Kumano S, Komeya Y, Tsuchiya N, et al. Impact of CT attenuation correction by SPECT/CT in brain perfusion images. Ann Nucl Med. 2012;26:241–7.PubMedCrossRefGoogle Scholar
  15. 15.
    Shimosegawa E, Fujino K, Kato H, Hatazawa J. Quantitative CBF measurement using an integrated SPECT/CT system: validation of three-dimensional ordered-subset expectation maximization and CT-based attenuation correction by comparing with O-15 water PET. Ann Nucl Med. 2013;27:822–33.PubMedCrossRefGoogle Scholar

Copyright information

© Japanese Society of Radiological Technology and Japan Society of Medical Physics 2015

Authors and Affiliations

  • Hideo Onishi
    • 1
  • Jun Hatazawa
    • 2
  • Jyoji Nakagawara
    • 3
  • Kengo Ito
    • 4
  • Sang Kil Ha-Kawa
    • 5
  • Yasuhiko Masuda
    • 6
  • Keiichi Sugibayashi
    • 7
  • Masaaki Takahashi
    • 8
  • Kei Kikuchi
    • 9
  • Noboru Katsuta
    • 10
  1. 1.Program in Health and Welfare, Graduate School of Comprehensive Scientific ResearchPrefectural University of HiroshimaMiharaJapan
  2. 2.Department of Nuclear Medicine and Tracer KineticsOsaka University Graduate School of MedicineOsakaJapan
  3. 3.Department of Neurosurgery Integrative Stroke Imaging CenterNational Cerebral and Cardiovascular CenterSuitaJapan
  4. 4.Department of Clinical and Experimental Neuroimaging, Center for Development of Advanced Medicine for DementiaNational Center for Geriatrics and GerontologyObuJapan
  5. 5.Department of Nuclear MedicineKansai Medical University Hirakata HospitalHirakataJapan
  6. 6.Division of Radiology, Department of Medical TechnologyAsahikawa Red Cross HospitalAsahikawaJapan
  7. 7.Department of RadiologyKansai Medical University Hirakata HospitalHirakataJapan
  8. 8.Department of RadiologyTeishinkai HospitalSapporoJapan
  9. 9.Department of RadiologyKitasato University HospitalSagamiharaJapan
  10. 10.Division of Medical TechnologyKumamoto University HospitalKumamotoJapan

Personalised recommendations