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18F PET s florbetapirom u ranoj dijagnostici Alzheimerove demencije i drugih demencija u osoba s umjerenim kognitivnim oštećenjem (MCI)

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References

References to studies included in this review

Doraiswamy 2014 {published data only}

Doraiswamy PM, Clark C, Sperling R, Reiman E, Pontecorvo M, Sabbagh M, et al. Prognostic significance of florbetapir F18 PET imaging in MCI and mormal elderly: final results from a longitudinal multicenter trial. Alzheimer's & Dementia 2011;7 Suppl(4):S108. CENTRAL
Doraiswamy PM, Sperling RA, Coleman RE, Johnson KA, Reiman EM, Davis MD, et al. Amyloid‐β assessed by florbetapir F 18 PET and 18‐month cognitive decline: a multicenter study. Neurology 2012;79(16):1636‐44. CENTRAL
Doraiswamy PM, Sperling RA, Johnson K, Reiman EM, Wong TZ, Sabbagh MN, et al. Florbetapir F 18 amyloid PET and 36‐month cognitive decline: a prospective multicenter study. Molecular Psychiatry 2014;19(9):1044‐51. CENTRAL
Johnson KA, Sperling RA, Gidicsin CM, Carmasin JS, Maye JE, Coleman RE, et al. Florbetapir (F18‐AV‐45) PET to assess amyloid burden in Alzheimer's disease dementia, mild cognitive impairment, and normal aging. Alzheimer's & Dementia 2013;9 Suppl(5):S72‐83. CENTRAL
NCT00857506. Observational study of cognitive outcomes for subjects who have had prior PET amyloid imaging With Florbetapir F 18 (18F‐AV‐45). https://clinicaltrials.gov/show/NCT00857506 (first received 6 March 2009). CENTRAL

Kawas 2013 {published data only}

Kawas CH, Greenia DE, Bullain SS, Clark CM, Pontecorvo MJ, Joshi AD, et al. Amyloid imaging and cognitive decline in nondemented oldest‐old: the 90+ study. Alzheimer's & Dementia 2013;9(2):199‐203. CENTRAL

Schreiber 2015 {published data only}

ADNI 2 PET Technical Procedures Manual AV‐45 (Florbetapir F 18) & FDG. adni.loni.usc.edu/wp‐content/uploads/2010/05/ADNI2_PET_Tech_Manual_0142011.pdf (accessed prior to 12 October 2017). CENTRAL
ADNI‐GOPET Technical Procedures Manual AV‐45 & FDG. adni.loni.usc.edu/wp‐content/uploads/2010/05/ADNIGO_PET_Tech_Manual_01142011.pdf (accessed prior to 12 October 2017). CENTRAL
Alzheimer’s Disease Neuroimaging Initiative 2 (ADNI2). www.adni‐info.org/Scientists/doc/ADNI2_Procedures_Manual_20130624.pdf (accessed prior to 12 October 2017). CENTRAL
Alzheimer’s Disease Neuroimaging Initiative Grand Opportunity (ADNI‐GO). www.adni‐info.org/Scientists/doc/ADNI_GO_Procedures_Manual_06102011.pdf (accessed prior to 12 October 2017). CENTRAL
NCT01078636. Alzheimer's disease neuroimaging initiative grand opportunity (ADNI‐GO). clinicaltrials.gov/show/NCT01078636 (first received 2 March 2010). CENTRAL
NCT01231971. Alzheimer's disease neuroimaging initiative 2 (ADNI2). clinicaltrials.gov/show/NCT01231971 (first received 1 November 2010). CENTRAL
Schreiber S, Landau SM, Fero A, Schreiber F, Jagust WJ, Alzheimer’s Disease Neuroimaging Initiative. Comparison of visual and quantitative Florbetapir F 18 positron emission tomography analysis in predicting mild cognitive impairment outcomes. JAMA Neurology 2015;72(10):1183‐90. CENTRAL

References to studies excluded from this review

Altomare 2016 {published data only}

Altomare D, Festari C, Ferrari C, Muscio C, Padovani A, Frisoni GB, et al. Brain amyloidosis and cognitive decline in MCI: 12‐month follow‐up. Alzheimer's & Dementia 2016;12(7 Supplement):P16‐P17. CENTRAL

Apostolova 2016 {published data only}

Apostolova L, Goukasian N, Do T, Grotts J, Ringman J, Elashoff D. Effect of brain amyloidosis on the emergence of neuropsychiatric behaviors in MCI over time. Neurology 2016;86 Suppl 16:P2.232. CENTRAL

Brendel 2014 {published data only}

Brendel M, Hoegenauer M, Delker A, Bartenstein P, Rominger A. Longitudinal amyloid PET in mild cognitive impaired patients. Journal of Nuclear Medicine 2014;55 Suppl 1:193. CENTRAL

Brendel 2015 {published data only}

Brendel M, Högenauer 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. CENTRAL

Cheewakriengkrai 2014 {published data only}

Cheewakriengkrai L, Manitsirikul S, Mohades S, Wang S, Shin M, Benedet AL, et al. Neurodegeneration associated with longitudinal changes of abeta1‐42 and fibrillary amyloid. Alzheimer's & Dementia 2014;10 Suppl(4):839‐40. CENTRAL

Chen 2015a {published data only}

Chen K, Roontiva A, Thiyyagura P, Lee W, Liu X, Ayutyanont N, et al. Improved power for characterizing longitudinal amyloid‐beta PET changes and evaluating amyloid‐modifying treatments with a cerebral white matter reference region. Journal of Nuclear Medicine 2015;56(4):560‐66. CENTRAL

Chen 2015b {published data only}

Chen X, Wang R, Gao R, Cao H, Wong D, Zhou Y. Evaluation of the diagnostic value of FDG and amyloid PET imaging with CSF biomarkers in monitoring the progression in Alzheimer's disease. Journal of Nuclear Medicine 2015;56 Suppl 3:1569. CENTRAL

Chincarini 2015 {published data only}

Chincarini A, Sensi F, Guerra UP, Morbelli S, Bossert I, Rei L, et al. Amyloid‐PET quantification: methods and rationale. Clinical and Translational Imaging 2015;3 Suppl(1):S20. CENTRAL

Chincarini 2016 {published data only}

Chincarini A, Sensi F, Rei L, Bossert I, Morbelli S, Guerra UP, et al. Standardized uptake value ratio‐independent evaluation of brain amyloidosis. Journal of Alzheimer's Disease 2016;54(4):1437‐57. CENTRAL

Durkanova 2015 {published data only}

Durcanova B, Diaz‐Aguilar D, Parker E, Lee J, Yi L, Silverman D. Optimal strategies for using amyloid imaging and FDG PET in prognostic evaluation of mild cognitive impairment (MCI). Journal of Nuclear Medicine 2015;56 Suppl 3:192. CENTRAL

Fan 2015 {published data only}

Fan Z, Harold D, Pasqualetti G, Williams J, Brooks DJ, Edison P. Can studies of neuroinflammation in a TSPO genetic subgroup (HAB or MAB) be applied to the entire AD cohort?. Journal of Nuclear Medicine 2015;56(5):707‐13. CENTRAL

Greenia 2014 {published data only}

Greenia D, Kawas C, Caunca M, Bullain S, Corrada M. PET amyloid imaging with florbetapir predicts cognitive decline in the oldest‐old. Neurology 2014;82 Suppl 10:P4.011. CENTRAL

Hochstetler 2014 {published data only}

Hochstetler H, Wang S, Yu P, Trzepacz PT, Case M, Henley D, et al. Empirically defining trajectories of late‐life cognitive and functional decline. Alzheimer's & Dementia 2014;10 Suppl(4):687‐8. CENTRAL

Joshi 2014 {published data only}

Joshi A, Pontecorvo M, Navitsky MA, Kennedy IA, Mintun M, Devous MD. Measuring change in beta‐amyloid burden over time using florbetapir‐PET and a subcortical white matter reference region. Alzheimer's & Dementia 2014;10 Suppl(4):902. CENTRAL

Klein 2015 {published data only}

Klein G, Sampat M, Staewen D, Scott D, Suhy J. Comparison of SUVR methods and reference regions in amyloid PET. Journal of Nuclear Medicine 2015;56 Suppl 3:1741. CENTRAL

Landau 2014 {published data only}

Landau S, Fero A, Baker S, Jagust W. Modeling longitudian Florbetapir change across the disease spectrum. Alzheimer's & Dementia 2014;10 Suppl(4):P7. CENTRAL

Landau 2016 {published data only}

Landau SM, Horng A, Fero A, Jagust WJ. Amyloid negativity in patients with clinically diagnosed Alzheimer disease and MCI. Neurology 2016;86(15):1377‐85. CENTRAL

Lee 2015 {published data only}

Lee J, Torosyan N, Dahlbom M, Silverman D. Amyloid imaging and FDG PET as predictors of subsequent cognitive decline in MCI subpopulation. Journal of Nuclear Medicine 2015;56 Suppl 3:190. CENTRAL

Lim 2014 {published data only}

Lim YY, Maruff P, Pietrzak RH, Ames D, Ellis KA, Harrington K, et al. Effect of amyloid on memory and non‐memory decline from preclinical to clinical Alzheimer's disease. Brain 2014;137(1):221‐31. CENTRAL

Manitsirikul 2015 {published data only}

Manitsirikul S, Mathotaarachchi SS, Mohamedes S, Gauthier S, Beaudry T, Rosa‐Neto P. How to follow up and cluster subjects by longitudinal changes of fibrillary amyloid imaging and CSF biomarkers? A 24‐month follow up. Alzheimer's & Dementia 2015;11 Suppl(7):P19‐21. CENTRAL

Margolin 2013 {published data only}

Margolin RA, Andrews RD, Lukic AS, Zhao X, Tudor IC, Salloway S, et al. Biomarkers and cognition in amyloid positive and amyloid‐negative ADNI‐2 MCI subjects: implications for AD therapeutic trials. Journal of Nutrition, Health & Aging 2013;17(9):795‐96. CENTRAL

Mathotaarachchi 2015 {published data only}

Mathotaarachchi SS, Mohades S, Shin M, Beaudry T, Benedet AL, Pascoal TA, et al. Should a global or a regional measure of amyloidosis be used in a longitudinal study?. Alzheimer's & Dementia 2015;11 Suppl(7):P19. CENTRAL

Mattsson 2014a {published data only}

Mattsson N, Insel PS, Landau S, Jagust W, Donohue M, Shaw LM, et al. Diagnostic accuracy of CSF Ab42 and florbetapir PET for Alzheimer's disease. Annals of Clinical and Translational Neurology 2014;1(8):534‐43. CENTRAL

Mattsson 2014b {published data only}

Mattsson N, Insel P, Landau S, Jagust W, Shaw L, Trojanowski JQ, et al. Combining CSF AB42 and PET florbetapir to predict diagnosis, tau, atrophy, and cognition. Alzheimer's & Dementia 2014;10 Suppl(4):P174. CENTRAL

Mattsson 2015a {published data only}

Mattsson N, Insel PS, Donohue M, Landau S, Jagust WJ, Shaw LM, et al. Independent information from cerebrospinal fluid amyloid‐β and florbetapir imaging in Alzheimer's disease. Brain 2015;138(3):772‐83. CENTRAL

Mattsson 2015b {published data only}

Mattsson N, Insel PS, Aisen PS, Jagust W, Mackin S, Weiner M, et al. Brain structure and function as mediators of the effects of amyloid on memory. Neurology 2015;84(11):1136‐44. CENTRAL

Ming 2015 {published data only}

Lu M, Pontecorvo MJ, Siderowf A, Joshi AD, Devous MD, Mintun MA, et al. Prognostic value of 18F‐Florbetapir scan: a 36‐month follow up analysis using ADNI data. Clinical and Translational Imaging 2015;3 Suppl 1:S126. CENTRAL

Mohades 2014 {published data only}

Mohades S, Mathotaarachchi SS, Parent M, Shin M, Wang S, Benedet AL, et al. Neurodegeneration and cortical atrophy in [18f] florbetapir accumulators and non‐accumulators. Alzheimer's & Dementia 2014;10 Suppl(4):P26‐7. CENTRAL

Morbelli 2015 {published data only}

Morbelli S, Nobili F, Sensi F, Guerra U, Rei L, Bossert I, et al. SUVratio (SUVr)‐independent semiquantification of brain amyloidosis: a software‐aided integration of visual and quantitative analyses. European Journal of Nuclear Medicine and Molecular Imaging 2015;42 Suppl 1:S547. CENTRAL

Pascoal 2016 {published data only}

Pascoal T, Benedet A, Mathotaarachchi S, Soucy JP, Beaudry T, Gauthier S, et al. Amyloidbeta and hyperphosphorylated tau synergy drives clinical progression in individuals with mild cognitive impairment. Neurology 2016;86 Suppl(16):P2.228. CENTRAL

Pascoal 2017 {published data only}

Pascoal TA, Mathotaarachchi S, Shin M, Benedet AL, Mohades S, Wang S, et al. Synergistic interaction between amyloid and tau predicts the progression to dementia. Alzheimer's & Dementia 2017;13:644‐53. CENTRAL

Pontecorvo 2011 {published data only}

Pontecorvo MJ, Joshi A, Skovronsky D, Clark C, Mintun M. Florbetapir PET correlates with cognitive decline, PiB PET and CSF markers in the ADNI database. Alzheimer's & Dementia 2011;7 Suppl(4):S697. CENTRAL

Risacher 2014 {published data only}

Risacher SL, Kim S, Nho KT, West JD, Petersen RC, Aisen PS, et al. Two‐year longitudinal change in amyloid deposition, glucose metabolism, and hippocampal atrophy in ADNI‐2 participants: relation to genetic risk. Alzheimer's & Dementia 2014;10 Suppl(4):P211‐12. CENTRAL

Shokouhi 2016 {published data only}

Shokouhi S, Mckay JW, Baker SL, Kang H, Brill AB, Gwirtsman HE, et al. Reference tissue normalization in longitudinal (18)F‐florbetapir positron emission tomography of late mild cognitive impairment. Alzheimer's Research & Therapy 2016;8(1):article no 2. CENTRAL

Siderowf 2013 {published data only}

Siderowf A, Joshi A, Lu M, Mintun M, Pontecorvo M. Lack of substantial progression of cognitive deficits in patients with negative amyloid imaging: implications for clinical trials. Neurology 2013;80 Suppl(7):P01.016. CENTRAL

Teipel 2015 {published data only}

Teipel SJ, Kurth J, Krause B, Grothe MJ, Alzheimer's Disease Neuroimaging Initiative. The relative importance of imaging markers for the prediction of Alzheimer's disease dementia in mild cognitive impairment ‐ beyond classical regression. NeuroImage: Clinical 2015;8:583‐93. CENTRAL

Toledo 2015 {published data only}

Toledo JB, Bjerke M, Da X, Landau SM, Foster NL, Jagust W, et al. Nonlinear association between cerebrospinal fluid and florbetapir F‐18 beta‐amyloid measures across the spectrum of Alzheimer disease. JAMA Neurology 2015;72(5):571‐81. CENTRAL

Wisse 2015 {published data only}

Wisse LE, Butala N, Das SR, Davatzikos C, Dickerson BC, Vaishnavi SN, et al. Suspected non‐AD pathology in mild cognitive impairment. Neurobiology of Aging 2015;36(12):3152‐62. CENTRAL

Xu 2016 {published data only}

Xu L, Wu X, Li R, Chen K, Long Z, Zhang J, et al. Prediction of progressive mild cognitive impairment by multi‐modal neuroimaging biomarkers. Journal of Alzheimer's Disease 2016;51(4):1045‐56. CENTRAL

References to ongoing studies

JPRN‐UMIN000019926 {unpublished data only}

JPRN‐UMIN000019926. Clinical and neuroimaging study on preclinical Alzheimer's disease. apps.who.int/trialsearch/Trial2.aspx?TrialID=JPRN‐UMIN000019926 (first received 1 December 2015). CENTRAL

NCT01325259 {unpublished data only}

NCT01325259. FluoroAv45 imaging research‐in Alzheimer's disease (FAIR‐AD). clinicaltrials.gov/show/NCT01325259 (first received 29 March 2011). CENTRAL

NCT01554202 {unpublished data only}

NCT01554202. Multi‐modal neuroimaging in Alzheimer's disease (IMAP). clinicaltrials.gov/show/NCT01554202 (first received 14 March 2012). CENTRAL

NCT01638949 {unpublished data only}

NCT01638949. Multi‐modal neuroimaging in Alzheimer's disease (IMAP+). clinicaltrials.gov/show/NCT01638949 (first received 12 July 2012). CENTRAL

NCT01687153 {unpublished data only}

NCT01687153. A study of brain aging in Vietnam war veterans (DOD‐ADNI). clinicaltrials.gov/show/NCT01687153 (first received 18 September 2012). CENTRAL

NCT01746706 {unpublished data only}

NCT01746706. Can the assessment of the subhippocampal region contribute to the detection of early diagnosis of Alzheimer's disease? A validation study using PET with florbetapir (AV‐45). https://clinicaltrials.gov/show/NCT01746706 (first received 11 December 2012). CENTRAL

NCT02164643 {unpublished data only}

NCT02164643. Longitudinal study of brain amyloid imaging in MEMENTO (MEMENTOAmyGing). clinicaltrials.gov/show/NCT02164643 (first received 16 June 2014). CENTRAL

NCT02330510 {unpublished data only}

NCT02330510. Amyloid and glucose PET imaging in Alzheimer and vascular cognitive impairment patients with significant white matter disease (MITNEC C6). clinicaltrials.gov/show/NCT02330510 (first received 5 January 2015). CENTRAL

NCT02343757 {unpublished data only}

NCT02343757. Alzheimer's disease imaging with PET/MRI ‐ beta‐amyloid. clinicaltrials.gov/show/NCT02343757 (first received 22 January 2015). CENTRAL

NCT02854033 {unpublished data only}

NCT02854033. Alzheimer's disease neuroimaging initiative 3 (ADNI3) protocol. clinicaltrials.gov/show/NCT02854033 (first received 3 August 2016). CENTRAL

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Characteristics of studies

Characteristics of included studies [ordered by study ID]

Doraiswamy 2014

Study characteristics

Patient sampling

  • There were 52 MCI at time of performing the test planned as evaluable for efficacy participants.

  • The participants were 50 years old or older with memory complaint or cognitive impairment corroborated by an informant, CDR 0.5, and MMSE > 24, no episodic memory cut‐off was required.

  • No further details of participant sampling and recruitment were reported

Patient characteristics and setting

  • 52 MCI participants diagnosed by CDR 0.5, but the following data related to those reported in the study as the 'efficacy data set'. Therefore we reported data on 47 participants of 52 participants at baseline.

  • The mean age was 74.47 (+ 7.72) years for those with Aβ (+) and 70.40 (+ 10.72) years old for those with Aβ (‐).

  • 25 of the 47 in the efficacy data set of participants were women.

  • APOE ϵ4 carrier: 11 of 17 participants in the Aβ (+) group, and 4 of 30 in the Aβ (‐) were positive to APOE ϵ4.

  • MMSE: the mean MMSE for those in the Aβ (+) group was 27.29 (+ 2.14) and 27.53 (+ 1.63) for those in Aβ (‐) group.

  • Years of education: the mean for those in Aβ (+) group was 14.47 (+ 2.18) years and 15.27 (+ 2.42) years for those in Aβ (‐) group.

  • Sources of referral: not reported.

  • Setting: 21 sites in the United States of America, no data regarding the specific setting were reported.

Index tests

  • Site PET scanners were qualified with a Hoffman brain phantom.

  • Time between the 18F‐florbetapir injection and PET acquisition: fifty minutes after injection and, a 10‐min emission scan (acquired in 2 × 5 min frames) was obtained.

  • 18F‐florbetapir administration mCi (MBq) dose: 10 mCi (370 MBq).

  • PET scanners included Discovery LS PET/CT (GE, Fairfield, CT, USA), Advance PET (GE), ECAT HR+ (Siemens, Washington DC, USA) and Biograph PET/CT (Siemens) models.

  • Image reconstruction utilized an iterative algorithm (4 iterations, 16 subsets) and a post‐reconstruction Gaussian filter of 5 mm.

  • Semiquantitative visual rating:

After a training session, three nuclear medicine physicians with no access to clinical information, independently rated each PET image for amyloid burden based on successive levels of florbetapir retention from 0 to 4 as follows:

(0) None: predominantly white matter tracer retention with no appreciable cortical gray matter retention above cerebellar grey matter levels;

(1) Low: evidence of increased tracer retention above cerebellar grey levels in 1 or 2 cortical grey regions;

(2) Low‐moderate: either (a) predominantly white matter pattern, but at least 2 cortical regions with increased retention relative to cerebellar grey, or (b) predominantly a cortical gray matter pattern, with most cortical areas mildly positive relative to cerebellum;

(3) Moderate‐high: specific cortical retention generally greater than or equal to white matter retention and at least one cortical area with greatly increased retention relative to cerebellar grey;

(4) High: Specific cortical uptake greater than or equal to white matter background and multiple cortical areas with greatly increased retention relative to cerebellar grey.

  • Binary Classification:

The visual reads were used to classify each data set as either visually positive for Aβ or visually negative for Aβ

Visual rating scores of 2 to 4 were considered positive and 0 to 1 were considered negative.

  • Cerebellum was used as the reference region.

Target condition and reference standard(s)

  • Target condition: Alzheimer’s disease dementia

  • Reference standard: not explicitly stated, although NINCDS‐ADRDA criteria for ADD (McKhann 1984) were baseline diagnostic criteria, and clinical diagnoses were generated without knowledge of the 18F‐florbetapir scan results.

Flow and timing

  • Duration of follow‐up: 3 years

  • Number included in analysis: 47 participants with at least one post baseline measurement; 17 18F‐florbetapir (+) and 30 18F‐florbetapir (‐)

  • Progression from MCI to ADD:

    • 18F‐florbetapir (+): 6 MCI converted to ADD and 11 MCI not converted to ADD; 18F‐florbetapir (‐): 3 MCI converted to ADD and 27 MCI not converted to ADD

    • TP = 6; FP = 11; FN = 3; TN = 27

    • Loss to follow‐up including those without any post‐baseline measurement: 15 MCI participants. No further information was given on the MCI group reasons. There were data regarding all groups (ADD, MCI, normal controls) where it was described that the most common reasons for termination were withdrawal of consent (n = 38) and loss of follow‐up (n = 8).

  • Financial support from the manufacturer of 18F‐florbetapir tracer and six authors were employees

Comparative

Notes

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Unclear

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Unclear

Unclear

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

If a threshold was used, was it pre‐specified?

Yes

Was the PET scan interpretation done by a trained reader physician?

Yes

Was there a clear definition of a positive result?

Yes

Low

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Unclear

Were the reference standard results interpreted without knowledge of the results of the index tests?

Yes

Unclear

Unclear

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Unclear

Were all patients included in the analysis?

Yes

Was the study free of commercial funding?

No

High

Kawas 2013

Study characteristics

Patient sampling

  • The participants were 90 years old or older. They were participants of a longitudinal, population‐based study (90+ Study) and were invited to participate at this study.

  • The participants had normal cognition or with either cognitive or functional impairment resulting from cognition not severe enough to meet DSM‐IV diagnostic criteria and they were classified as cognitively impaired not demented (CIND) and they agreed to postmortem brain donation.

  • There were 5 MCI at time of performing the test planned as evaluable for efficacy participants.

  • No further details of patient sampling and recruitment were reported.

Patient characteristics and setting

  • 5 MCI participants diagnosed as CIND, three were considered as Aβ (+) and two were considered as Aβ (‐).

  • The characteristics data of the participants included 13 participants: five of them were MCI participants and eight were normal controls; the mean age was 94.1 (range 90 to 99), for those considered as Aβ (+) the mean age was 94.4 (range 93 to 96) and 94.1 (range 90 to 99) years old for those with Aβ (‐).

Nine of the participants were women, two of them were Aβ (+), and two of four men were Aβ (+) at baseline.

APOE ϵ4 carrier: not reported

MMSE: the mean MMSE was 28 (range 24 to 30); for those considered as in the Aβ (+) group, the mean was 26.5 (range 24 to 29) and 28 (range 25 to 30) for those in the Aβ (‐) group.

Years of education: seven participants were reported having studied after high school: two of them were Aβ (+) and five were Aβ (‐); for those six having studied at high school or with less education, two were Aβ (+) and four were Aβ (‐), respectively.

  • Sources of referral: not reported

  • Setting: participants lived at home as well as in institutions in the United States of America.

Index tests

  • Participants were imaged using clinical PET and PET/computed tomographic scanners.

  • Time between the 18F‐florbetapir injection and PET acquisition: fifty minutes after injection and, a 10‐min emission scan was obtained.

  • 18F‐florbetapir administration mCi (MBq) dose: 10 mCi (370 MBq)

  • Images were acquired with a 128 x 128 matrix (zoom x 2) and were reconstructed using iterative or row action maximization likelihood algorithms.

  • Semiquantitative visual rating:

After a training session, three nuclear medicine physicians with no access to clinical information, independently rated each PET image for amyloid burden based on successive levels of florbetapir retention from from 0 (no amyloid) to 4 (high levels of cortical amyloid). The median of the three visual scores was used to dichotomize participants into Aβ (‐) (score, 0 to 1 point) and Aβ (+) (score, 2 to 4 points).

Target condition and reference standard(s)

  • Target condition: any form of dementia

  • Reference standard: DSM‐IV criteria for dementia (APA 1994)

Flow and timing

  • Duration of follow‐up (median): 1.5 years (all participants, including those as control normals)

  • Number included in analysis: 5 participants; three 18F‐florbetapir (+) and two 18F‐florbetapir (‐)

  • Progression from MCI to any form of dementia:

    • 18F‐florbetapir (+): 2 MCI converted to any form of dementia and 1 MCI not converted to any form of dementia; 18F‐florbetapir (‐): 1 MCI converted to any form of dementia and 1 MCI not converted to any form of dementia; TP = 2; FP = 1; FN = 1; TN = 1

    • Loss to follow‐up: none

  • Partial financial support from the manufacturer of 18F‐florbetapir tracer and three authors were employees

Comparative

Notes

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Unclear

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Unclear

Unclear

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

If a threshold was used, was it pre‐specified?

Yes

Was the PET scan interpretation done by a trained reader physician?

Yes

Was there a clear definition of a positive result?

Unclear

Low

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Unclear

Unclear

Unclear

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Was the study free of commercial funding?

No

High

Schreiber 2015

Study characteristics

Patient sampling

  • 401 amnestic MCI participants were selected from the Alzheimer’s Disease Neuroimaging Initiative (ADNI). The study was performed from September 2010, to August 2014; data analysis was performed from September 2014, to May 2015.

  • The participants were between 55 to 90 (inclusive) years old with memory complaints or cognitive impairment corroborated by an informant, CDR 0.5, and MMSE > 24, Hachinski less than or equal to 4, Geriatric Depression Scale less than 6, without any significant neurologic disease other than suspected incipient Alzheimer’s disease, had completed at least 6 years of education, were fluent in Spanish or English.

  • No sampling criteria was specified

Patient characteristics and setting

  • 401 amnestic MCI participants diagnosed by CDR = 0.5 at time of performing the test, were recruited from ADNI data.

  • The mean age was 71.6 (+ 7.5) years for all participants.

  • Gender: 182 female in MCI group.

  • APOE ϵ4 carrier: 198 participants were positive in the MCI group.

  • MMSE: the mean MMSE in the MCI group was 28.1 (+ 1.7).

  • Years of education: the mean for those in the MCI group was 16.2 (+ 2.7) years.

  • Sources of referral mixed: memory clinics, newspaper ads, radio, and other public media campaigns.

  • Setting: multicentre, no other specific data regarding setting was reported.

Index tests

  • Florbetapir image data were acquired from a variety of PET scanners (Siemens PET systems, GE, Phillips).

  • 18F‐florbetapir administration mCi (MBq) dose: approximately 10 mCi (370 MBq).

  • Time between the 18F‐florbetapir injection and PET acquisition: between 50 to 70 minutes after injection of approximately 10 mCi, a 20‐min emission scan (acquired in 4 × 5 min frames) was obtained.

  • The four frames were coregistered to one another, averaged, interpolated to a uniform image and voxel size (160 × 106 × 96, 1.5mm3), and smoothed to a uniform resolution (8 mm full width half maximum) to account for differences between scanners.

  • Visual analysis was performed on axial, sagittal, and coronal slices, in an inverse gray scale, using software that permitted adjustment of image brightness and contrast to each reader’s specifications. Florbetapir positivity was defined as increased tracer uptake in the cerebral cortex that was visually perceived as reduced or absent white matter/gray matter contrast in at least one cortical (frontal, parietal, temporal, occipital) region detectable on more than two adjacent scan slices.

The reader was trained using an online electronic training tool produced by the company who produced the tracer,

and the reader was blinded to all clinical data and any other imaging test of each participant.

  • Quantitative analysis: To quantify cortical Aβ, preprocessed florbetapir image data and coregistered structural magnetic resonance images (MRI) were analysed using Freesurfer v4.5.0 MPRAGE scans of one structural 1.5T or 3T MRI scan within 2 months of florbetapir scans were segmented and parcellated into individual cortical regions, used to extract the mean florbetapir uptake from the gray matter of the ROI (lateral and medial frontal, anterior, and posterior cingulate, lateral parietal, and lateral temporal regions) relative to uptake in the whole cerebellum (white and gray matter).

The threshold used was a SUVR > 1.11 determined at baseline.(Landau 2012, Landau 2013).

Target condition and reference standard(s)

  • Target condition: Alzheimer’s disease (progression from MCI to ADD)

  • Reference standard: NINCDS‐ADRDA criteria

Unclear whether clinicians conducting follow‐up were aware of the ¹⁸F‐florbetapir PET scan results.

Flow and timing

  • Participants belonged to the ADNI database, the study was performed from September 2010 to August 2014.

  • .All participants received the same reference standard.

  • Duration of follow‐up: a median progression‐free follow‐up time of 1.6 years

Number included in analysis:

MCI

  • Visual assessment: 401 MCI: 196 MCI with 18F‐florbetapir positive test: 54 converted to ADD and 142 remained stable; 205 MCI with 18F‐florbetapir negative test: 7 converted to ADD and 198 remained stable.

  • TP = 54; FP = 142; FN = 7; TN = 198

  • SUVR > 1.11: 401 MCI: 221 MCI with 18F‐florbetapir positive test; 53 converted to ADD and 168 remained stable; 180 MCI with 18F‐florbetapir negative test: 8 converted to ADD and 172 remained stable.

  • TP = 53; FP = 168; FN = 8; TN = 172

  • Loss to follow‐up: data appeared to have been reported for all 401 participants.

Comparative

Notes

Dr Schreiber kindly sent the ADNI identification code for each MCI participant (mail received 04/07/2017).

Methodological quality

Item

Authors' judgement

Risk of bias

Applicability concerns

DOMAIN 1: Patient Selection

Was a consecutive or random sample of patients enrolled?

Unclear

Was a case‐control design avoided?

Yes

Did the study avoid inappropriate exclusions?

Unclear

Unclear

Low

DOMAIN 2: Index Test All tests

Were the index test results interpreted without knowledge of the results of the reference standard?

Yes

If a threshold was used, was it pre‐specified?

Yes

Was the PET scan interpretation done by a trained reader physician?

Yes

Was there a clear definition of a positive result?

Yes

Low

Low

DOMAIN 3: Reference Standard

Is the reference standards likely to correctly classify the target condition?

Yes

Were the reference standard results interpreted without knowledge of the results of the index tests?

Unclear

Unclear

Unclear

DOMAIN 4: Flow and Timing

Was there an appropriate interval between index test and reference standard?

Yes

Did all patients receive the same reference standard?

Yes

Were all patients included in the analysis?

Yes

Was the study free of commercial funding?

Yes

Low

Aβ: Amyloid Beta
ADD: Alzheimer's disease dementia
ADNI: Alzheimer's Disease Neuroimaging Initiative
APOE ϵ4: Apolipoprotein E4
CDR: Clinical dementia rating
CIND: Cognitive impairment not dementia
CT: Computed tomography
DSM‐IV: Diagnostic and Statistical Manual of Mental Disorders (4th ed.)
FN: False negative
FP: False positive
MBq: Megabecquerel
MCI: Mild cognitive impairment
mCi: Millicurie
MMSE: Mini‐mental state examination
MPRAGE: Magnetization‐Prepared Rapid Gradient‐Echo
NINCDS‐ADRDA: National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer’s Disease and Related Disorders Association
PET: Positron emission tomography
ROI: Region of interest
SUVR: Standardised uptake value ratio

T: Tesla
TN: True negative
TP: True positive

Characteristics of excluded studies [ordered by study ID]

Study

Reason for exclusion

Altomare 2016

MCI diagnosis at baseline was not made with any of our accepted definitions by protocol for MCI participants.

Dr Altomare kindly responded to some questions regarding the method of his study (mail received 16/06/2017).

Apostolova 2016

Not having data for constructing a 2 x 2 table. The study was focused on the development of neuropsychiatric symptoms and not on Alzheimer's disease or dementia progression.

Brendel 2014

Not having data for constructing a 2 x 2 table. The study was focused on longitudinal quantitative analyses of 18F‐florbetapir PET and their association with progression of dementia.

Brendel 2015

Not having data for constructing a 2 x 2 table. The study was focused on testing the effects of different reference regions and atrophy‐based partial volume effects on the discriminatory power and longitudinal performance of amyloid PET.

Cheewakriengkrai 2014

Not having data for constructing a 2 x 2 table. The study was focused on the relationship between regional distributions of brain fibrillar amyloid deposition, neurodegenerative biomarkers in CSF (CSF Aβ 1‐42, t‐tau, p‐tau) and cognitive function (ADAS‐cog) at 24 months follow‐up.

Chen 2015a

Not having data for constructing a 2 x 2 table. The study compared the power of template‐based cerebellar, pontine, and cerebral white matter reference regions to track 24‐month florbetapir standardized uptake value (SUV) ratio (SUVR) changes; and to relate those changes to 24‐month clinical declines

Chen 2015b

Not having data for constructing a 2 x 2 table. The study was focused in the diagnostic potential of FDG PET, florbetapir, PiB and CSF biomarkers in monitoring the progression from mild cognitive impairment (MCI) to Alzheimer’s disease (ADD) and cognitively normal (NC) to MCI in a longitudinal study

Chincarini 2015

Not having data for constructing a 2 x 2 table. The study was focused on examining different approaches to amyloid‐PET quantification and a longitudinal analyses of Aβ deposition.

Chincarini 2016

The study focused on the evaluation of brain amyloidosis (ELBA) with a new method on imaging of the 18F‐florbetapir PET scan.

We did not include this study because we preferred to include the Schreiber study for the following reasons:

  • There was a high risk of duplication of participants with the Schreiber study, due to both studies using the same ADNI database.

  • The Schreiber study had more participants: 401 MCI participants compared to 62 in the Chincarini study.

  • The reason why there were no participants with MCI at baseline who maintained their condition at the follow‐up was not clear.

Durkanova 2015

Not having data for constructing a 2 x 2 table. The study was focused in evaluate five different test strategies for integrating use of florbetapir and FDG PET information to predict rates of cognitive and functional decline over 2 years.

Fan 2015

Not having data for constructing a 2 x 2 table. The study was focused on investigating whether different translocator protein genotypes influenced cognitive function, amyloid load, and disease progression over time.

Greenia 2014

Not having data for constructing a 2 x 2 table. The study was focused on evaluating the 18F‐florbetapir PET and the relationship with cognitive decline in the oldest‐old.

Hochstetler 2014

Not having data for constructing a 2 x 2 table. The study was focused on trying to define trajectories of cognitive and functional decline, and characteristics associated with distinct trajectories, using Growth Mixture Modeling.

Joshi 2014

Not having data for constructing a 2 x 2 table. The study was focused on the estimation of longitudinal change in Aβ burden over 2 years.

Klein 2015

Not having data for constructing a 2 x 2 table. The study was focused on the evaluation of native space compared to SPM template methods and a variety of possible SUVR reference regions with highest longitudinal change in the SUVR at 24 months.

Landau 2014

Not having data for constructing a 2 x 2 table. The study was focused on the 18F‐florbetapir PET longitudinal evaluation in cognitively normal, MCI, and ADD participants, examining characteristics of normal individuals with subthreshold florbetapir retention and the influence of reference region selection on estimated trajectories across the entire range of amyloid measurements.

Landau 2016

This study was focused on comparing participants with amyloid beta negative MCI and participants with ADD enrolled in the Alzheimer’s Disease Neuroimaging Initiative (ADNI) with their Aβ amyloid positive counterparts on a number of clinical, neuropsychological, and biomarker characteristics with an average available follow‐up time for longitudinal cognitive measurements of 1.4 + 0.8 years.

The conversion rate in those MCI participants with PET negative was 11% and the conversion in those with PET positive was 45%.

We did not include this study, and we preferred Schreiber 2015 to be included for the following reasons:

  • There was a high risk of duplication of participants with the Schreiber study, due to the use of the same ADNI database and Landau was the second author of the Schreiber study.

  • The Schreiber study had more participants: 401 MCI participants compared to 217 in the Landau study.

  • The follow‐up was longer in the Schreiber study: 1.6 + 0.7 years and in the Landau study it was 1.4 + 0.8 years.

Lee 2015

Not having data for constructing a 2 x 2 table. This study was focused in the correlation between florbetapir and FDG PET and cognition measured by MMSE at follow‐up.

Lim 2014

Not having data for constructing a 2 x 2 table. This study was focused on evaluating the florbetapir status at baseline and different cognitive composite measures at 36 months.

Manitsirikul 2015

Not having data for constructing a 2 x 2 table. The study was focused on the relationship between regional distributions of brain fibrillar amyloid deposition, neurodegenerative biomarkers in brain (FDG) and CSF (tau), brain structural change, and cognitive function at 24‐month follow‐up.

Margolin 2013

Not having data for constructing a 2 x 2 table. The study was focused on evaluating the 18F‐florbetapir PET and the relationship with cognitive decline at follow‐up.

Mathotaarachchi 2015

Not having data for constructing a 2 x 2 table. The study was focused on the regional effects of amyloid retention measured by the 18F‐florbetapir PET scan on the rate of hypometabolism measured by FDG PET scan over the follow‐up.

Mattsson 2014a

This study was focused on comparing the diagnostic test accuracy with CSF Aβ42 and the 18F‐florbetapir PET scan in three different groups, healthy controls, Alzheimer's disease dementia, and MCI (progressive vs stable MCI) participants.

We did not include this study, as we preferred Schreiber 2015 to be included for the following reasons:

  • There was a high risk of duplication of participants with the Schreiber study, due to both studies using the same ADNI database and two authors from the Schreiber study (Landau and Jagust) also worked in the Mattsson study.

  • The Schreiber study had more participants, 401 MCI participants compared to 224 in the Mattson study.

  • The follow‐up was similar: Schreiber study: 1.6 + 0.7 years; Mattsson study: in those with stable MCI, the follow‐up was 2.2 + 0.3 years and in those with progressive MCI, the follow‐up was 1.7 + 0.6 years.

Mattsson 2014b

Not having data for constructing a 2 x 2 table. This study was focused in determine the extent to which CSF and 18F‐florbetapir PET contribute independent diagnostic information in AD studies, and to determine the nature and degree of pathology in discordantly classified individuals in healthy controls, ADD patients, and MCI participants.

Mattsson 2015a

Not having data for constructing a 2 x 2 table. The study was focused on testing if CSF and amyloid beta PET scan biomarkers were independently related to other Alzheimer's disease markers, and to examine individuals who were discordantly classified by these two biomarker modalities with a follow‐up for up to three years.

Mattsson 2015b

Not having data for constructing a 2 x 2 table. The study was focused on relationships in a large number of brain regions in MCI participants with cognitive evaluations for up to three years with Logical Memory delayed recall and Rey Auditory Verbal Learning Test delayed recall.

Ming 2015

Not having data for constructing a 2 x 2 table. The study was focused on MCI participants and 18F‐florbetapir at baseline and follow‐up for up to three years with cognitive evaluations with MMSE, ADAS11 and CDR sum of boxes.

Mohades 2014

Not having data for constructing a 2 x 2 table. The study was focused on comparing neurodegeneration in 18F‐florbetapir accumulators and nonaccumulators based on a 24‐month assessment.

Morbelli 2015

Not having data for constructing a 2 x 2 table. The study was focused on MCI participants that had longitudinal evaluation with the 18F‐florbetapir PET scan over two years and different methods to establish the PET positivity.

Pascoal 2016

Not having data for constructing a 2 x 2 table. The study was focused on neuropsychological and clinical decline in participants with MCI and if they were associated with brain amyloid‐beta deposition and tau hyperphosphorylation.

Pascoal 2017

The study was focused on amnestic MCI individuals and whether the synergism between Aβ aggregation and tau hyperphosphorylation could determine the progression from amnestic MCI to ADD dementia.

We did not include this study because we preferred the Schreiber study to be included for the following reasons:

  • They used the same ADNI database and 279 of 314 MCI participants in Pascoal 2017 were also included in Schreiber 2015.

  • The Schreiber study had more participants: 401 MCI participants compared to 314 in the Pascoal study.

Dr Pascoal kindly responded to some questions regarding the method of his study and provided the ADNI identification code of the participants (mail received 16/06/2017).

Pontecorvo 2011

Not having data for constructing a 2 x 2 table. The study was focused on the evaluation of the correlation of florbetapir SUVR with cognitive change from baseline to month 24 in MCI and cognitively normal participants, PET PiB, and CSF amyloid and tau levels.

Risacher 2014

Not having data for constructing a 2 x 2 table. The study was focused on the comparative assessment of two‐year change in amyloid deposition, glucose metabolism, and hippocampal atrophy in healthy controls, MCI and ADD participants.

Shokouhi 2016

Not having data for constructing a 2 x 2 table. The study was focused on evaluating the effect of reference tissue normalization in a test–retest 18F‐florbetapir SUVR study using different reference regions and evaluating the correlation between 18F‐florbetapir PET and concurrent CSF Aβ1–42 levels in a MCI cohort over the course of 2 years.

Siderowf 2013

Not having data for constructing a 2 x 2 table. The study was focused on evaluating cognitive decline measured by ADAS‐cog in participants with negative and positive 18F‐florbetapir PET scan imaging with a clinical follow‐up of 18 months.

Teipel 2015

Not having data for constructing a 2 x 2 table. The study was focused on comparing penalized regression analysis, with more classical unregularised regression models in respect to predicting conversion from MCI to ADD in 127 MCI subjects who had a clinical follow‐up between 6 and 31 months.

Toledo 2015

Not having data for constructing a 2 x 2 table. The study was focused on determining the association between CSF and PET amyloid biomarkers (cross‐sectional and longitudinal measures) and comparing the cut‐offs for these measures.

Wisse 2015

Not having data for constructing a 2 x 2 table. The study was focused on characterising MCI participants separated into four groups according to their abnormal amyloid‐beta 42 levels and abnormal hippocampal volume or hypometabolism using fluorodeoxyglucose PET and the conversion rate at 24 months.

Xu 2016

The study was focused on exploring the contribution of different neuroimaging modalities in their predictive power and characterised the sensitive biomarkers from each modality.

We did not include this study, as we preferred the Schreiber study to be included for the following reasons:

  • They used the same ADNI database and 70 of 110 MCI participants in Xu 2016 were also included in Schreiber 2015.

  • Schreiber had more participants: 401 MCI participants compared to 110 in the Xu study.

Aβ: Amyloid Beta
ADAS11: Alzheimer's disease assessment scale‐11
ADAScog: Alzheimer's Disease Assessment Scale‐Cognitive subscale
ADD: Alzheimer's disease dementia
ADNI: Alzheimer's Disease Neuroimaging Initiative
CDR: Clinical dementia rating
CSF: Cerebrospinal fluid
ELBA: Evaluation of brain amyloidosis
FDG: Fluorodeoxyglucose
MCI: Mild cognitive impairment
MMSE: Mini‐mental state examination
PET: Positron emission tomography
PiB: Pittsburgh compound B
SPM: statistical parametric mapping
SUV: Standardised uptake value
SUVR: Standardised uptake value ratio

Characteristics of ongoing studies [ordered by study ID]

JPRN‐UMIN000019926

Trial name or title

Clinical and neuroimaging study on preclinical Alzheimer's disease

Target condition and reference standard(s)

Estimation of progression rate at 36 months of follow‐up, reference standard not specified

Index and comparator tests

18F‐florbetapir, PET PiB, 18F‐flutemetamol

Starting date

2016

Contact information

Hiroshi Mori
[email protected]‐cu.ac.jp

Notes

NCT01325259

Trial name or title

FluoroAv45 Imaging Research‐in Alzheimer's Disease (FAIR‐AD)

Target condition and reference standard(s)

Cogitive decline after 2 years of follow‐up, reference standard not specified

Index and comparator tests

18F‐florbetapir

Starting date

2009

Contact information

vincent.camus@univ‐tours.fr

Notes

NCT01554202

Trial name or title

Multi‐modal Neuroimaging in Alzheimer's Disease (IMAP)

Target condition and reference standard(s)

Cognitive decline over three years of follow‐up, reference standard not specified

Index and comparator tests

18F‐florbetapir

Starting date

2008

Contact information

Vincent de La Sayette, University Hospital, Caen

Notes

NCT01638949

Trial name or title

Multi‐modal Neuroimaging in Alzheimer's Disease (IMAP+)

Target condition and reference standard(s)

Cognitive decline over three years of follow‐up, reference standard not specified

Index and comparator tests

18F‐florbetapir

Starting date

2012

Contact information

Vincent de La Sayette, University Hospital, Caen

Notes

NCT01687153

Trial name or title

A Study of Brain Aging in Vietnam War Veterans (DOD‐ADNI)

Target condition and reference standard(s)

Cognitive decline over one year of follow‐up, reference standard not specified

Index and comparator tests

18F‐florbetapir

Starting date

2012

Contact information

Michael W. Weiner, University of California, San Francisco
Paul Aisen, USC Alzheimer's Therapeutic Research Institute (ATRI)
Ronald Petersen, Mayo Clinic

Notes

NCT01746706

Trial name or title

Can the Assessment of the Subhippocampal Region Contribute to the Detection of Early Diagnosis of Alzheimer's Disease? A Validation Study Using PET With florbetapir (AV‐45)

Target condition and reference standard(s)

Cognitive decline over two years of follow‐up, reference standard not specified

Index and comparator tests

18F‐florbetapir

Starting date

2011

Contact information

Bernard Belaiguesa, Assistance Publique Hopitaux De Marseille

Notes

NCT02164643

Trial name or title

Longitudinal Study of Brain Amyloid imaGing in MEMENTO (MEMENTOAmyGing)

Target condition and reference standard(s)

Cognitive decline over two years of follow‐up, reference standard not specified

Index and comparator tests

18F‐florbetapir and 18F‐flutemetamol

Starting date

2014

Contact information

Genevieve Chene, CIC‐EC7 ‐ ISPED ‐ CHU de Bodeaux

Notes

NCT02330510

Trial name or title

Amyloid and Glucose PET Imaging in Alzheimer and Vascular Cognitive Impairment Patients With Significant White Matter Disease (MITNEC C6)

Target condition and reference standard(s)

Cognitive decline over two years of follow‐up, reference standard not specified

Index and comparator tests

18F‐florbetapir

Starting date

2014

Contact information

Maryam Niapour, [email protected]
Christopher JM Scott, [email protected]

Notes

NCT02343757

Trial name or title

Alzheimer's Disease Imaging With PET/MRI ‐ Beta‐amyloid

Target condition and reference standard(s)

Assessing the diagnosis of a participant at one year of follow‐up, reference standard not specified

Index and comparator tests

18F‐florbetapir

Starting date

2014

Contact information

James O'Donnell, [email protected]

Notes

NCT02854033

Trial name or title

Alzheimer's Disease Neuroimaging Initiative 3 (ADNI3) Protocol

Target condition and reference standard(s)

Rate of progression to MCI or dementia due to ADD, reference standard not specified

Index and comparator tests

18F‐florbetapir and 18F‐florbetaben

Starting date

2016

Contact information

Paul Aisen, Director, Alzheimer's Therapeutic Research Institute, University of Southern California

Notes

ADD:Alzheimer's disease dementia
MCI: Mild cognitive impairment
PET: Positron emission tomography
PiB: Pittsburgh Compound B

Data

Presented below are all the data for all of the tests entered into the review.

Open in table viewer
Tests. Data tables by test

Test

No. of studies

No. of participants

1 MCI to ADD by visual assessment from 2 to less than 4 years of follow‐up Show forest plot

1

47


MCI to ADD by visual assessment from 2 to less than 4 years of follow‐up.

MCI to ADD by visual assessment from 2 to less than 4 years of follow‐up.

2 MCI to ADD by visual assessment from 1 to less than 2 years follow‐up Show forest plot

1

401


MCI to ADD by visual assessment from 1 to less than 2 years follow‐up.

MCI to ADD by visual assessment from 1 to less than 2 years follow‐up.

3 MCI to ADD by SUVR at 1 to less than 2 years follow‐up Show forest plot

1

401


MCI to ADD by SUVR at 1 to less than 2 years follow‐up.

MCI to ADD by SUVR at 1 to less than 2 years follow‐up.

4 MCI to any form of dementia Show forest plot

1

5


MCI to any form of dementia.

MCI to any form of dementia.

Study flow diagram.
Figures and Tables -
Figure 1

Study flow diagram.

Risk of bias and applicability concerns summary: review authors' judgements about each domain for each included study
Figures and Tables -
Figure 2

Risk of bias and applicability concerns summary: review authors' judgements about each domain for each included study

Forest plot of tests: 1 MCI to ADD by visual assessment from 2 to less than 4 years of follow‐up, 2 MCI to ADD by visual assessment from 1 to less than 2 years follow‐up, 3 MCI to ADD by SUVR at 1 to less than 2 years follow‐up, 4 MCI to any form of dementia.
Figures and Tables -
Figure 3

Forest plot of tests: 1 MCI to ADD by visual assessment from 2 to less than 4 years of follow‐up, 2 MCI to ADD by visual assessment from 1 to less than 2 years follow‐up, 3 MCI to ADD by SUVR at 1 to less than 2 years follow‐up, 4 MCI to any form of dementia.

MCI to ADD by visual assessment from 2 to less than 4 years of follow‐up.
Figures and Tables -
Test 1

MCI to ADD by visual assessment from 2 to less than 4 years of follow‐up.

MCI to ADD by visual assessment from 1 to less than 2 years follow‐up.
Figures and Tables -
Test 2

MCI to ADD by visual assessment from 1 to less than 2 years follow‐up.

MCI to ADD by SUVR at 1 to less than 2 years follow‐up.
Figures and Tables -
Test 3

MCI to ADD by SUVR at 1 to less than 2 years follow‐up.

MCI to any form of dementia.
Figures and Tables -
Test 4

MCI to any form of dementia.

Summary of findings Diagnostic test accuracy of 18F‐florbetapir to predict the progression to ADD, any other form of dementia (non‐ADD) or any form of dementia in people with MCI

What is the diagnostic accuracy of 18F‐florbetapir PET amyloid biomarker for predict progression to ADD, any other form of dementia (non‐ADD) or any form of dementia in people with MCI?

Descriptive

Patient population

Participants diagnosed with MCI at time of performing the test using any of the Petersen criteria or Winblad criteria or CDR = 0.5 or any 16 definitions included by Matthews (Matthews 2008).

Sources of referral

Not reported (n = 2)

Mixed (memory clinics, newspaper ads, radio, and other public media campaigns) (n = 1)

MCI criteria

ADNI criteria, CDR 0.5 criterion was included (n = 2)

CIND (cognitive impairment not dementia) (Matthews 2008) (n = 1)

Sampling procedure

Unclear (n = 3)

Prior testing

The only testing prior to performing the 18F‐florbetapir PET amyloid biomarker was the application of diagnostic criteria for identifying participants with MCI

Settings

Community and institutionalised (n = 1)

Not reported (n = 2)

Index test

18F‐florbetapir PET

Threshold prespecified at baseline

Yes (n = 3)

Threshold interpretation

Visual (n = 3)

Quantitative (n = 1)

Threshold

Visual:

  • Increased tracer uptake reduced or absent white matter/gray matter contrast in at least one cortical (frontal, parietal, temporal, occipital) region detectable on more than two adjacent scan slices (n = 1)

  • Amyloid burden based on successive levels of florbetapir retention from from 0 (no amyloid) to 4 (high levels of cortical amyloid). The median of the three visual scores was used to dichotomize participants into Aβ (‐) (score, 0 to 1 point) and Aβ (+) (score, 2 to 4 points) (n = 2)

SUVR (Standardised Uptake Volume ratio):

  • > 1.11 (n = 1)

18F‐florbetapir retention region

Global cortex (n = 1)

Reference Standard

Alzheimer’s disease dementia:

NINCDS‐ADRDA (n = 1)

Unclear (n = 1)

Any form of dementia:

DSM‐IV criteria for dementia (n = 1)

Target condition

Progression from MCI to Alzheimer’s disease dementia or any other forms of dementia (non‐ADD) or any form of dementia

Included studies

Prospectively well‐defined cohorts with any accepted definition of MCI (as above). Three studies (N = 458 participants) were included. Number of participants included in analysis: 453.

Quality concerns

The participant selection and reference standard QUADAS‐2 domain: unclear risk of bias.

The index test domain: low risk of bias in all three included studies.

The flow and timing domain: high risk of bias in the two included studies.

Unclear concerns about applicability in the reference standard domain in all three included studies.

Limitations

Limited investigation of heterogeneity and sensitivity analysis due to insufficient number of studies.

We were unable to evaluate progression from MCI to any other form of dementia (non‐ADD) due to lack of included studies.

Test

Studies

Cases/Participants

Sensitivity

Specificity

Consequences in a cohort of 100

Proportion converting1

Missed cases2

Overdiagnosed2

Alzheimer's disease dementia

18F‐florbetapir by visual assessment from one to less than two years of follow‐up

(Schreiber 2015)

1

61/401

89% (95% CI 78% to 95%)

58% (95% CI 53% to 64%)

15

2

36

18F‐florbetapir by quantitative assessment from one to less than two years of follow‐up

(Schreiber 2015)

1

61/401

87% (95% CI 76% to 94%)

51% (95% CI 45% to 56%)

15

2

42

18F‐florbetapir by visual assessment from two to less than four years of follow‐up

(Doraiswamy 2014)

1

9/47

67% (95% CI 30% to 93%)

71% (95% CI 54% to 85%)

19

6

23

Any form of dementia

18F‐florbetapir by visual assessment from one to less than two years of follow‐up

(Kawas 2013)

1

3/5

67% (95% CI 9% to 99%)

50% (95% CI 1% to 99%)

60

20

20

Investigation of heterogeneity and sensitivity analysis: The planned investigations were not possible due to the limited number of studies available for each analysis.

Conclusions:18F‐florbetapir PET scan is not an accurate test for detecting progression from MCI to Alzheimer’s disease dementia or any form of dementia. The strength of the evidence was weak because of considerable variation in study methods, unclear methodological quality due to poor reporting, and high risk of bias due to possible conflict of interest. There is a need for conducting studies using standardised 18F‐florbetapir PET scan methodology in larger populations.

1. Proportion converting to ADD or any form of dementia in each included study.

2. Missed and overdiagnosed numbers were computed using the proportion converting to the target condition.
ADD: Alzheimer's disease dementia
ADNI: Alzheimer's Disease Neuroimaging Initiative
CDR: Clinical dementia rating
CIND: Cognitive impairment not dementia
DSM‐IV: Diagnostic and Statistical Manual of Mental Disorders (4th ed.)
MCI: Mild cognitive impairment
NINCDS‐ADRDA: National Institute of Neurological and Communicative Disorders and Stroke and the Alzheimer’s Disease and Related Disorders Association
QUADAS‐2: Quality Assessment of Diagnostic Accuracy Studies
SUVR: Standardised uptake value ratio

Figures and Tables -
Summary of findings Diagnostic test accuracy of 18F‐florbetapir to predict the progression to ADD, any other form of dementia (non‐ADD) or any form of dementia in people with MCI
Table Tests. Data tables by test

Test

No. of studies

No. of participants

1 MCI to ADD by visual assessment from 2 to less than 4 years of follow‐up Show forest plot

1

47

2 MCI to ADD by visual assessment from 1 to less than 2 years follow‐up Show forest plot

1

401

3 MCI to ADD by SUVR at 1 to less than 2 years follow‐up Show forest plot

1

401

4 MCI to any form of dementia Show forest plot

1

5

Figures and Tables -
Table Tests. Data tables by test