SpringerLink
Log in

Automated quantification of amyloid positron emission tomography: a comparison of PMOD and MIMneuro

  • Original Article
  • Published:
Annals of Nuclear Medicine Aims and scope Submit manuscript

Abstract

Objective

The aim of this study was to examine and compare two automated quantitative software tools (PMOD and MIMneuro) for the quantification of amyloid positron emission tomography (PET).

Methods

A total of 30 subjects—15 Alzheimer’s disease (AD) patients and 15 cognitively normal age- and sex-matched controls—were enrolled. All subjects underwent structural volumetric magnetic resonance imaging (MRI) and amyloid PET scans with F-18 florbetaben. Regional standardized uptake value ratios (SUVRs) using the cerebellar cortex as a reference region were obtained using PMOD and MIMneuro.

Results

The SUVRs using both PMOD and MIMneuro showed high discriminatory power between the AD patients and cognitively normal controls. While PMOD and MIMneuro yielded significantly different SUVRs in some brain regions, the two methods had good overall agreement.

Conclusion

MIMneuro provides comparable performance to PMOD without the need to acquire brain MRI. Therefore, MIMneuro might be suitable for clinical use to determine amyloid positivity.

This is a preview of subscription content, log in via an institution to check access.

Access this article

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or Ebook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

Price includes VAT (Germany)

Instant access to the full article PDF.

Institutional subscriptions

Fig. 1
Fig. 2

Similar content being viewed by others

References

  1. Hardy J, Allsop D. Amyloid deposition as the central event in the aetiology of Alzheimer’s disease. Trends Pharmacol Sci. 1991;12:383–8.

    Article  CAS  PubMed  Google Scholar 

  2. Klunk WE, Engler H, Nordberg A, Wang Y, Blomqvist G, Holt DP, et al. Imaging brain amyloid in Alzheimer’s disease with Pittsburgh Compound-B. Ann Neurol. 2004;55:306–19.

    Article  CAS  PubMed  Google Scholar 

  3. FDA approves 18F-florbetapir PET agent. J Nucl Med. 2012;53:15n.

  4. GE beta-amyloid agent approved. J Nucl Med. 2013;54:10n.

    Google Scholar 

  5. US Food and Drug Administration. Neuraceq (florbetaben F 18 injection): clinical pharmacology and biopharmaceutics review(s). 2014. http://www.fda.gov. Accessed 10 April 2016.

  6. Rinne J, Brooks D, Rossor M, Fox N, Bullock R, Klunk W, et al. 11C-PiB PET assessment of change in fibrillar amyloid-beta load in patients with Alzheimer’s disease treated with bapineuzumab: a phase 2, double-blind, placebo-controlled, ascending-dose study. Lancet Neurol. 2010;9:363–72.

    Article  CAS  PubMed  Google Scholar 

  7. Liu E, Schmidt M, Margolin R, Sperling R, Koeppe R, Mason N, et al. Amyloid-β 11C-PiB-PET imaging results from 2 randomized bapineuzumab phase 3 AD trials. Neurology. 2015;85:692–700.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  8. Kang Y, Na DL, Hahn S. A validity study on the Korean Mini-Mental State Examination (K-MMSE) in dementia patients. J Korean Neurol Assoc. 1997;15:300–8.

    Google Scholar 

  9. Morris JC. The Clinical Dementia Rating (CDR): current version and scoring rules. Neurology. 1993;43:2412–4.

    Article  CAS  PubMed  Google Scholar 

  10. McKhann G, Drachman D, Folstein M, Katzman R, Price D, Stadlan EM. Clinical diagnosis of Alzheimer’s disease: report of the NINCDS-ADRDA Work Group under the auspices of Department of Health and Human Services Task Force on Alzheimer’s Disease. Neurology. 1984;34:939–44.

    Article  CAS  PubMed  Google Scholar 

  11. Tzourio-Mazoyer N, Landeau B, Papathanassiou D, Crivello F, Etard O, Delcroix N, et al. Automated anatomical labeling of activations in SPM using a macroscopic anatomical parcellation of the MNI MRI single-subject brain. Neuroimage. 2002;15:273–89.

    Article  CAS  PubMed  Google Scholar 

  12. DeLong ER, DeLong DM, Clarke-Pearson DL. Comparing the areas under two or more correlated receiver operating characteristic curves: a nonparametric approach. Biometrics. 1988;44:837–45.

    Article  CAS  PubMed  Google Scholar 

  13. Lopresti BJ, Klunk WE, Mathis CA, Hoge JA, Ziolko SK, Lu X, et al. Simplified quantification of Pittsburgh Compound B amyloid imaging PET studies: a comparative analysis. J Nucl Med. 2005;46:1959–72.

    CAS  PubMed  Google Scholar 

  14. Braak H, Braak E. Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol. 1991;82:239–59.

    Article  CAS  PubMed  Google Scholar 

  15. Thal DR, Rub U, Orantes M, Braak H. Phases of A beta-deposition in the human brain and its relevance for the development of AD. Neurology. 2002;58:1791–800.

    Article  PubMed  Google Scholar 

  16. Becker GA, Ichise M, Barthel H, Luthardt J, Patt M, Seese A, et al. PET quantification of 18F-florbetaben binding to beta-amyloid deposits in human brains. J Nucl Med. 2013;54:723–31.

    Article  CAS  PubMed  Google Scholar 

  17. Barthel H, Luthardt J, Becker G, Patt M, Hammerstein E, Hartwig K, et al. Individualized quantification of brain beta-amyloid burden: results of a proof of mechanism phase 0 florbetaben PET trial in patients with Alzheimer’s disease and healthy controls. Eur J Nucl Med Mol Imaging. 2011;38:1702–14.

    Article  CAS  PubMed  Google Scholar 

  18. Svedberg MM, Hall H, Hellstrom-Lindahl E, Estrada S, Guan Z, Nordberg A, et al. [(11)C]PIB-amyloid binding and levels of Abeta40 and Abeta42 in postmortem brain tissue from Alzheimer patients. Neurochem Int. 2009;54:347–57.

    Article  CAS  PubMed  Google Scholar 

  19. Barthel H, Gertz HJ, Dresel S, Peters O, Bartenstein P, Buerger K, et al. Cerebral amyloid-beta PET with florbetaben (18F) in patients with Alzheimer’s disease and healthy controls: a multicentre phase 2 diagnostic study. Lancet Neurol. 2011;10:424–35.

    Article  CAS  PubMed  Google Scholar 

  20. Pike K, Savage G, Villemagne V, Ng S, Moss S, Maruff P, et al. Beta-amyloid imaging and memory in non-demented individuals: evidence for preclinical Alzheimer’s disease. Brain. 2007;130:2837–44.

    Article  PubMed  Google Scholar 

  21. Rowe CC, Ng S, Ackermann U, Gong SJ, Pike K, Savage G, et al. Imaging beta-amyloid burden in aging and dementia. Neurology. 2007;68:1718–25.

    Article  CAS  PubMed  Google Scholar 

  22. Destrieux C, Fischl B, Dale A, Halgren E. Automatic parcellation of human cortical gyri and sulci using standard anatomical nomenclature. Neuroimage. 2010;53:1–15.

    Article  PubMed  PubMed Central  Google Scholar 

  23. Fleisher AS, Chen K, Liu X, Roontiva A, Thiyyagura P, Ayutyanont N, et al. Using positron emission tomography and florbetapir F18 to image cortical amyloid in patients with mild cognitive impairment or dementia due to Alzheimer disease. Arch Neurol. 2011;68:1404–11.

    Article  PubMed  Google Scholar 

  24. Joshi AD, Pontecorvo MJ, Clark CM, Carpenter AP, Jennings DL, Sadowsky CH, et al. Performance characteristics of amyloid PET with florbetapir F 18 in patients with alzheimer’s disease and cognitively normal subjects. J Nucl Med. 2012;53:378–84.

    Article  CAS  PubMed  Google Scholar 

  25. Namiki C, Takita Y, Iwata A, Momose T, Senda M, Okubo Y, et al. Imaging characteristics and safety of florbetapir ((1)(8)F) in Japanese healthy volunteers, patients with mild cognitive impairment and patients with Alzheimer’s disease. Ann Nucl Med. 2015;29:570–81.

    Article  PubMed  Google Scholar 

  26. Brendel M, Hogenauer M, Delker A, Sauerbeck J, Bartenstein P, Seibyl J, et al. Improved longitudinal [(18)F]-AV45 amyloid PET by white matter reference and VOI-based partial volume effect correction. Neuroimage. 2015;108:450–9.

    Article  PubMed  Google Scholar 

  27. Landau SM, Mintun MA, Joshi AD, Koeppe RA, Petersen RC, Aisen PS, et al. Amyloid deposition, hypometabolism, and longitudinal cognitive decline. Ann Neurol. 2012;72:578–86.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  28. Landau SM, Fero A, Baker SL, Koeppe R, Mintun M, Chen K, et al. Measurement of longitudinal beta-amyloid change with 18F-florbetapir PET and standardized uptake value ratios. J Nucl Med. 2015;56:567–74.

    Article  CAS  PubMed  Google Scholar 

  29. Tuszynski T, Rullmann M, Luthardt J, Butzke D, Tiepolt S, Gertz HJ, et al. Evaluation of software tools for automated identification of neuroanatomical structures in quantitative beta-amyloid PET imaging to diagnose Alzheimer’s disease. Eur J Nucl Med Mol Imaging. 2016;43:1077–87.

    Article  CAS  PubMed  Google Scholar 

  30. Rosario BL, Weissfeld LA, Laymon CM, Mathis CA, Klunk WE, Berginc MD, et al. Inter-rater reliability of manual and automated region-of-interest delineation for PiB PET. Neuroimage. 2011;55:933–41.

    Article  PubMed  Google Scholar 

  31. Su Y, D’Angelo GM, Vlassenko AG, Zhou G, Snyder AZ, Marcus DS, et al. Quantitative analysis of PiB-PET with FreeSurfer ROIs. PLoS One. 2013;8:e73377.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  32. Schain M, Varnas K, Cselenyi Z, Halldin C, Farde L, Varrone A. Evaluation of two automated methods for PET region of interest analysis. Neuroinformatics. 2014;12:551–62.

    Article  PubMed  Google Scholar 

  33. Rullmann M, Dukart J, Hoffmann KT, Luthardt J, Tiepolt S, Patt M, et al. Partial-volume effect correction improves quantitative analysis of 18F-florbetaben beta-amyloid PET scans. J Nucl Med. 2016;57:198–203.

    Article  PubMed  Google Scholar 

  34. Villemagne VL, Ong K, Mulligan RS, Holl G, Pejoska S, Jones G, et al. Amyloid imaging with (18)F-florbetaben in Alzheimer disease and other dementias. J Nucl Med. 2011;52:1210–7.

    Article  PubMed  Google Scholar 

  35. Wong DF, Rosenberg PB, Zhou Y, Kumar A, Raymont V, Ravert HT, et al. In vivo imaging of amyloid deposition in Alzheimer disease using the radioligand 18F-AV-45 (florbetapir [corrected] F 18). J Nucl Med. 2010;51:913–20.

    Article  CAS  PubMed  PubMed Central  Google Scholar 

  36. Vandenberghe R, Van Laere K, Ivanoiu A, Salmon E, Bastin C, Triau E, et al. 18F-flutemetamol amyloid imaging in Alzheimer disease and mild cognitive impairment: a phase 2 trial. Ann Neurol. 2010;68:319–29.

    Article  PubMed  Google Scholar 

  37. Stankoff B, Freeman L, Aigrot MS, Chardain A, Dolle F, Williams A, et al. Imaging central nervous system myelin by positron emission tomography in multiple sclerosis using [methyl-(1)(1)C]-2-(4′-methylaminophenyl)-6-hydroxybenzothiazole. Ann Neurol. 2011;69:673–80.

    Article  CAS  PubMed  Google Scholar 

  38. Saint-Aubert L, Nemmi F, Peran P, Barbeau EJ, Payoux P, Chollet F, et al. Comparison between PET template-based method and MRI-based method for cortical quantification of florbetapir (AV-45) uptake in vivo. Eur J Nucl Med Mol Imaging. 2014;41:836–43.

    Article  CAS  PubMed  Google Scholar 

  39. Edison P, Carter SF, Rinne JO, Gelosa G, Herholz K, Nordberg A, et al. Comparison of MRI based and PET template based approaches in the quantitative analysis of amyloid imaging with PIB-PET. Neuroimage. 2013;70:423–33.

    Article  CAS  PubMed  Google Scholar 

  40. Landau SM, Breault C, Joshi AD, Pontecorvo M, Mathis CA, Jagust WJ, et al. Amyloid-beta imaging with Pittsburgh compound B and florbetapir: comparing radiotracers and quantification methods. J Nucl Med. 2013;54:70–7.

    Article  CAS  PubMed  Google Scholar 

Download references

Author information

Authors and Affiliations

  1. Department of Radiology, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Republic of Korea

    Woo Hee Choi & Won Sang Jung

  2. Department of Psychiatry, St. Vincent’s Hospital, College of Medicine, The Catholic University of Korea, Suwon, Republic of Korea

    Yoo Hyun Um

  3. Department of Radiology, Seoul St. Mary’s Hospital, College of Medicine, The Catholic University of Korea, 222 Banpo-daero, Seocho-gu, Seoul, 137-701, Republic of Korea

    Sung Hoon Kim

Authors
  1. Woo Hee Choi
    View author publications

    You can also search for this author in PubMed Google Scholar

  2. Yoo Hyun Um
    View author publications

    You can also search for this author in PubMed Google Scholar

  3. Won Sang Jung
    View author publications

    You can also search for this author in PubMed Google Scholar

  4. Sung Hoon Kim
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Sung Hoon Kim.

Ethics declarations

Conflict of interest

The authors have no conflicts of interest to declare.

Rights and permissions

Reprints and permissions

About this article

Check for updates. Verify currency and authenticity via CrossMark

Cite this article

Choi, W.H., Um, Y.H., Jung, W.S. et al. Automated quantification of amyloid positron emission tomography: a comparison of PMOD and MIMneuro. Ann Nucl Med 30, 682–689 (2016). https://doi.org/10.1007/s12149-016-1115-6

Download citation

  • Received:

  • Accepted:

  • Published:

  • Issue Date:

  • DOI: https://doi.org/10.1007/s12149-016-1115-6

Keywords

Search

Navigation