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Research ArticleAdult Brain
Open Access

Use of Standardized Uptake Value Ratios Decreases Interreader Variability of [18F] Florbetapir PET Brain Scan Interpretation

A.P. Nayate, J.G. Dubroff, J.E. Schmitt, I. Nasrallah, R. Kishore, D. Mankoff and D.A. Pryma for the Alzheimer's Disease Neuroimaging Initiative
American Journal of Neuroradiology July 2015, 36 (7) 1237-1244; DOI: https://doi.org/10.3174/ajnr.A4281
A.P. Nayate
aFrom the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
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J.G. Dubroff
aFrom the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
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J.E. Schmitt
aFrom the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
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I. Nasrallah
aFrom the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
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R. Kishore
aFrom the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
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D. Mankoff
aFrom the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
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D.A. Pryma
aFrom the Division of Nuclear Medicine and Clinical Molecular Imaging, Department of Radiology, University of Pennsylvania, Philadelphia, Pennsylvania.
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REFERENCES

  1. 1.↵
    Alzheimer's Association. 2013 Alzheimer's disease facts and figures. Alzheimers Dement 2013;9:208–45
    CrossRefPubMedWeb of Science
  2. 2.↵
    1. Holtzman DM,
    2. Morris JC,
    3. Goate AM
    . Alzheimer's disease: the challenge of the second century. Sci Transl Med 2011;3:77sr1
    FREE Full Text
  3. 3.↵
    1. Hiltunen M,
    2. van Groen T,
    3. Jolkkonen J
    . Functional roles of amyloid-beta protein precursor and amyloid-beta peptides: evidence from experimental studies. J Alzheimers Dis 2009;18:401–12
    PubMed
  4. 4.↵
    1. Löppönen M,
    2. Raiha I,
    3. Isoaho R, et al
    . Diagnosing cognitive impairment and dementia in primary health care: a more active approach is needed. Age Ageing 2003;32:606–12
    Abstract/FREE Full Text
  5. 5.↵
    1. Clark CM,
    2. Schneider JA,
    3. Bedell BJ, et al
    . Use of florbetapir-PET for imaging beta-amyloid pathology. JAMA 2011;305:275–83
    CrossRefPubMedWeb of Science
  6. 6.↵
    1. Wong DF,
    2. Rosenberg PB,
    3. Zhou Y, 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
    Abstract/FREE Full Text
  7. 7.↵
    1. Clark CM,
    2. Pontecorvo MJ,
    3. Beach TG, et al
    . Cerebral PET with florbetapir compared with neuropathology at autopsy for detection of neuritic amyloid-beta plaques: a prospective cohort study. Lancet Neurol 2012;11:669–78
    CrossRefPubMedWeb of Science
  8. 8.↵
    FDA advisory committee briefing document: Peripheral and Central Nervous Systems Drugs Advisory Committee—draft clinical review. December 20, 2010. http://www.fda.gov/downloads/AdvisoryCommittees/CommitteesMeetingMaterials/Drugs/PeripheralandCentralNervousSystemDrugsAdvisoryCommittee/UCM240265.pdf. Accessed September 12, 2013.
  9. 9.↵
    FDA approves imaging drug Amyvid. http://www.fda.gov/NewsEvents/Newsroom/PressAnnouncements/ucm299678.htm. Accessed September 14, 2013.
  10. 10.↵
    FDA approves 18F-florbetapir PET agent. J Nucl Med 2012;53:15N
    FREE Full Text
  11. 11.↵
    1. Braak H,
    2. Braak E
    . Neuropathological stageing of Alzheimer-related changes. Acta Neuropathol 1991;82:239–59
    CrossRefPubMedWeb of Science
  12. 12.↵
    1. Fleisher AS,
    2. Chen K,
    3. Liu X, 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
    CrossRefPubMedWeb of Science
  13. 13.↵
    1. Johnson KA,
    2. Sperling RA,
    3. Gidicsin CM, et al
    . Florbetapir (F18-AV-45) PET to assess amyloid burden in Alzheimer's disease dementia, mild cognitive impairment, and normal aging. Alzheimers Dement 2013;9:S72–83
    CrossRefPubMed
  14. 14.↵
    Avid Radiopharmaceuticals. Amyvid Reader Training. 2012. http://amyvidtraining.com/. Accessed June 14, 2013.
  15. 15.↵
    1. Petersen R,
    2. Weiner M
    . ADNI 2 Procedures Manual. 2008. http://adni.loni.usc.edu/wp-content/uploads/2008/07/adni2-procedures-manual.pdf. Accessed June 14, 2013.
  16. 16.↵
    1. Ghosh P,
    2. Sorger P,
    3. Buelau A, et al
    . White paper: quantitative software evaluation of amyloid brain PET imaging in dementia. 2012. http://www.healthcare.siemens.com/siemens_hwem-hwem_ssxa_websites-context-root/wcm/idc/groups/public/@global/@imaging/@molecular/documents/download/mdaw/mji1/∼edisp/whitepaper15_amyloiddementia-00274875.pdf. Accessed October 15, 2013.
  17. 17.↵
    1. Camus V,
    2. Payoux P,
    3. Barre L, et al
    . Using PET with 18F-AV-45 (florbetapir) to quantify brain amyloid load in a clinical environment. Eur J Nucl Med Mol Imaging 2012;39:621–31
    CrossRefPubMed
  18. 18.↵
    1. Peyrat J,
    2. Joshi AD,
    3. Mintun MA, et al
    . An automatic method for the quantification of uptake with florbetapir imaging. J Nucl Med 2012;53(suppl 1):210
  19. 19.↵
    1. Joshi AD,
    2. Pontecorvo MJ,
    3. Clark CM, 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
    Abstract/FREE Full Text
  20. 20.↵
    R Development Core Team. R: A Language and Environment for Statistical Computing. Vienna: R Foundation for Statistical Computing; 2011
  21. 21.↵
    1. Gamer M,
    2. Lemon J,
    3. Fellows I, et al
    . The irr package, Ver. 0.83: various coefficients of interrater reliability and agreement. 2010. http://cran.r-project.org/web/packages/irr/index.html. Accessed April 1, 2013.
  22. 22.↵
    1. Vanbelle S,
    2. Albert A
    . A bootstrap method for comparing correlated kappa coefficients. Journal of Statistical Computing and Simulation 2008;78:1009–15
    CrossRef
  23. 23.↵
    1. Landis JR,
    2. Koch GG
    . The measurement of observer agreement for categorical data. Biometrics 1977;33:159–74
    CrossRefPubMedWeb of Science
  24. 24.↵
    1. Ranginwala NA,
    2. Hynan LS,
    3. Weiner MF, et al
    . Clinical criteria for the diagnosis of Alzheimer disease: still good after all these years. Am J Geriatr Psychiatry 2008;16:384–88
    CrossRefPubMedWeb of Science
  25. 25.↵
    1. Johnson KA,
    2. Minoshima S,
    3. Bohnen NI, et al
    . Appropriate use criteria for amyloid PET: a report of the Amyloid Imaging Task Force, the Society of Nuclear Medicine and Molecular Imaging, and the Alzheimer's Association. J Nucl Med 2013;54:476–90
    Abstract/FREE Full Text
  26. 26.↵
    1. Ng S,
    2. Villemagne VL,
    3. Berlangieri S, et al
    . Visual assessment versus quantitative assessment of 11C-PIB PET and 18F-FDG PET for detection of Alzheimer's disease. J Nucl Med 2007;48:547–52
    Abstract/FREE Full Text
  27. 27.↵
    1. Jeon KN,
    2. Goo JM,
    3. Lee CH, et al
    . Computer-aided nodule detection and volumetry to reduce variability between radiologists in the interpretation of lung nodules at low-dose screening computed tomography. Invest Radiol 2012;47:457–61
    CrossRefPubMed
  28. 28.↵
    1. Gierada DS,
    2. Pilgram TK,
    3. Ford M, et al
    . Lung cancer: interobserver agreement on interpretation of pulmonary findings at low-dose CT screening. Radiology 2008;246:265–72
    CrossRefPubMedWeb of Science
  29. 29.↵
    1. Wojcinski S,
    2. Gyapong S,
    3. Farrokh A, et al
    . Diagnostic performance and inter-observer concordance in lesion detection with the automated breast volume scanner (ABVS). BMC Med Imaging 2013;13:36
    CrossRefPubMed
  30. 30.↵
    1. Rosario BL,
    2. Weissfeld LA,
    3. Laymon CM, et al
    . Inter-rater reliability of manual and automated region-of-interest delineation for PiB PET. Neuroimage 2011;55:933–41
    CrossRefPubMedWeb of Science
  31. 31.↵
    1. Luo P,
    2. Qian W,
    3. Romilly P
    . CAD-aided mammogram training. Acad Radiol 2005;12:1039–48
    CrossRefPubMed
  32. 32.↵
    1. Beach TG,
    2. Monsell SE,
    3. Phillips LE, et al
    . Accuracy of the clinical diagnosis of Alzheimer disease at National Institute on Aging Alzheimer Disease Centers, 2005–2010. J Neuropathol Exp Neurol 2012;71:266–73
    CrossRefPubMed
  33. 33.↵
    1. Lim A,
    2. Tsuang D,
    3. Kukull W, et al
    . Clinico-neuropathological correlation of Alzheimer's disease in a community-based case series. J Am Geriatr Soc 1999;47:564–69
    CrossRefPubMedWeb of Science
  34. 34.↵
    1. Bennett DA,
    2. Schneider JA,
    3. Bienias JL, et al
    . Mild cognitive impairment is related to Alzheimer disease pathology and cerebral infarctions. Neurology 2005;64:834–41
    CrossRefPubMed
  35. 35.↵
    1. Gearing M,
    2. Schneider JA,
    3. Rebeck GW, et al
    . Alzheimer's disease with and without coexisting Parkinson's disease changes: apolipoprotein E genotype and neuropathologic correlates. Neurology 1995;45:1985–90
    CrossRefPubMed
  36. 36.↵
    1. Morishima-Kawashima M,
    2. Oshima N,
    3. Ogata H, et al
    . Effect of apolipoprotein E allele epsilon4 on the initial phase of amyloid beta-protein accumulation in the human brain. Am J Pathol 2000;157:2093–99
    CrossRefPubMedWeb of Science
  37. 37.↵
    1. Doraiswamy PM,
    2. Sperling RA,
    3. Coleman RE, et al
    . Amyloid-beta assessed by florbetapir F 18 PET and 18-month cognitive decline: a multicenter study. Neurology 2012;79:1636–44
    CrossRefPubMed
  38. 38.↵
    1. Doraiswamy PM,
    2. Sperling RA,
    3. Johnson K, et al
    . Florbetapir F 18 amyloid PET and 36-month cognitive decline: a prospective multicenter study. Mol Psychiatry 2014;19:1044–51
    CrossRefPubMedWeb of Science
  39. 39.↵
    1. Kitazono MT,
    2. Lau CT,
    3. Parada AN, et al
    . Differentiation of pleural effusions from parenchymal opacities: accuracy of bedside chest radiography. AJR Am J Roentgenol 2010;194:407–12
    CrossRefPubMed
  40. 40.↵
    1. Muyoyeta M,
    2. Maduskar P,
    3. Moyo M, et al
    . The sensitivity and specificity of using a computer aided diagnosis program for automatically scoring chest X-rays of presumptive TB patients compared with Xpert MTB/RIF in Lusaka Zambia. PLoS One 2014;9:e93757
    CrossRefPubMed
  41. 41.↵
    1. Owrangi AM,
    2. Entwistle B,
    3. Lu A, et al
    . Semi-automated scoring of pulmonary emphysema from X-ray CT: trainee reproducibility and accuracy. Eur J Radiol 2013;82:e734–41
    CrossRefPubMed
  42. 42.↵
    1. Pinto LM,
    2. Dheda K,
    3. Theron G, et al
    . Development of a simple reliable radiographic scoring system to aid the diagnosis of pulmonary tuberculosis. PLoS One 2013;8:e54235
    CrossRefPubMed
  43. 43.↵
    1. Xie X,
    2. Zhao Y,
    3. Snijder RA, et al
    . Sensitivity and accuracy of volumetry of pulmonary nodules on low-dose 16- and 64-row multi-detector CT: an anthropomorphic phantom study. Eur Radiol 2013;23:139–47
    CrossRefPubMed
  44. 44.↵
    1. Carton AK,
    2. Gavenonis SC,
    3. Currivan JA, et al
    . Dual-energy contrast-enhanced digital breast tomosynthesis: a feasibility study. Br J Radiol 2010;83:344–50
    Abstract/FREE Full Text
  45. 45.↵
    1. Tagliafico A,
    2. Tagliafico G,
    3. Tosto S, et al
    . Mammographic density estimation: comparison among BI-RADS categories, a semi-automated software and a fully automated one. Breast 2009;18:35–40
    CrossRefPubMed
  46. 46.↵
    1. Takeda K,
    2. Kanao S,
    3. Okada T, et al
    . Assessment of CAD-generated tumor volumes measured using MRI in breast cancers before and after neoadjuvant chemotherapy. Eur J Radiol 2012;81:2627–31
    CrossRefPubMed
  47. 47.↵
    1. Barthel H,
    2. Luthardt J,
    3. Becker G, 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
    CrossRefPubMed
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Cite this article
A.P. Nayate, J.G. Dubroff, J.E. Schmitt, I. Nasrallah, R. Kishore, D. Mankoff, D.A. Pryma
Use of Standardized Uptake Value Ratios Decreases Interreader Variability of [18F] Florbetapir PET Brain Scan Interpretation
American Journal of Neuroradiology Jul 2015, 36 (7) 1237-1244; DOI: 10.3174/ajnr.A4281

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Use of Standardized Uptake Value Ratios Decreases Interreader Variability of [18F] Florbetapir PET Brain Scan Interpretation
A.P. Nayate, J.G. Dubroff, J.E. Schmitt, I. Nasrallah, R. Kishore, D. Mankoff, D.A. Pryma
American Journal of Neuroradiology Jul 2015, 36 (7) 1237-1244; DOI: 10.3174/ajnr.A4281
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