Evidence map›Paper›PMID 40101933›Full record

ArticleAJNR. American journal of neuroradiology2025

Concordance between Centiloid Quantification and Visual Interpretation of Amyloid PET Scans across the Alzheimer Disease Continuum.

Mohammad Khalafi, Seyed Hani Hojjati, Xiuyuan Hugh Wang, Liangdong Zhou, Anna Starikovsky Nordvig, Yi Li, Tracy A Butler, Qolamreza R Razlighi, Emily B Tanzi, Silky Pahlajani and 4 more

Abstract read
In one paragraph

Article in AJNR. American journal of neuroradiology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

What it found

Each row is one number read from the abstract, on the scale the paper reported it, with its interval. Left of the dashed line favours the treatment, right favours the comparator. Under each row is the sentence it came from. New to these charts? A ten-minute tutorial.

The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.

2 · The registry

The trial behind it

Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.

Neither the registry nor the abstract names a trial number. If this is a trial report, that itself is worth knowing.

3 · Its place in the literature

Who cites it

10 citing papers in PubMed.

  1. Article
  2. Article
  3. Article
  4. Article
  5. Comparison of visual and analytic methods of Alzheimer's disease pathologic staging.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2025
    Article
  6. Visual read performance ofAlzheimer's & dementia (Amsterdam, Netherlands)
    Article
  7. Article
  8. Article
  9. Article
  10. Quantification of global gray matter amyloid-β plaque fromAlzheimer's & dementia (Amsterdam, Netherlands)
    Article
4 · The record

Corrections and comments

PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.

5 · Who and what money

Authors and funding

14 authors.

Mohammad KhalafiFrom the Department of Radiology (M.K., S.H.H., X.H.W., L.Z., Y.L., T.A.B., Q.R.R., E.B.T., S.P., L.G., N.S.F., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York.
Seyed Hani HojjatiFrom the Department of Radiology (M.K., S.H.H., X.H.W., L.Z., Y.L., T.A.B., Q.R.R., E.B.T., S.P., L.G., N.S.F., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York.
Xiuyuan Hugh WangFrom the Department of Radiology (M.K., S.H.H., X.H.W., L.Z., Y.L., T.A.B., Q.R.R., E.B.T., S.P., L.G., N.S.F., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York.ORCID https://orcid.org/0000-0001-6356-3386
Liangdong ZhouFrom the Department of Radiology (M.K., S.H.H., X.H.W., L.Z., Y.L., T.A.B., Q.R.R., E.B.T., S.P., L.G., N.S.F., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York.ORCID https://orcid.org/0000-0002-8389-274X
Anna Starikovsky NordvigDepartment of Neurology (S.P., A.S.N.), Weill Cornell Medicine, New York, New York.
Yi LiFrom the Department of Radiology (M.K., S.H.H., X.H.W., L.Z., Y.L., T.A.B., Q.R.R., E.B.T., S.P., L.G., N.S.F., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York.ORCID https://orcid.org/0000-0002-3875-3513
Tracy A ButlerFrom the Department of Radiology (M.K., S.H.H., X.H.W., L.Z., Y.L., T.A.B., Q.R.R., E.B.T., S.P., L.G., N.S.F., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York.ORCID https://orcid.org/0000-0003-0130-8122
Qolamreza R RazlighiFrom the Department of Radiology (M.K., S.H.H., X.H.W., L.Z., Y.L., T.A.B., Q.R.R., E.B.T., S.P., L.G., N.S.F., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York.ORCID https://orcid.org/0000-0001-9588-8062
Emily B TanziFrom the Department of Radiology (M.K., S.H.H., X.H.W., L.Z., Y.L., T.A.B., Q.R.R., E.B.T., S.P., L.G., N.S.F., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York.ORCID https://orcid.org/0000-0002-3633-0680
Silky PahlajaniFrom the Department of Radiology (M.K., S.H.H., X.H.W., L.Z., Y.L., T.A.B., Q.R.R., E.B.T., S.P., L.G., N.S.F., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York.ORCID https://orcid.org/0000-0002-2510-9649
Lidia GlodzikFrom the Department of Radiology (M.K., S.H.H., X.H.W., L.Z., Y.L., T.A.B., Q.R.R., E.B.T., S.P., L.G., N.S.F., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York.ORCID https://orcid.org/0000-0003-4934-0949
Nancy S FoldiFrom the Department of Radiology (M.K., S.H.H., X.H.W., L.Z., Y.L., T.A.B., Q.R.R., E.B.T., S.P., L.G., N.S.F., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York.
Mony J de LeonFrom the Department of Radiology (M.K., S.H.H., X.H.W., L.Z., Y.L., T.A.B., Q.R.R., E.B.T., S.P., L.G., N.S.F., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York.ORCID https://orcid.org/0000-0003-4741-406X
Gloria C ChiangFrom the Department of Radiology (M.K., S.H.H., X.H.W., L.Z., Y.L., T.A.B., Q.R.R., E.B.T., S.P., L.G., N.S.F., M.J.d.L., G.C.C.), Brain Health Imaging Institute, Weill Cornell Medicine, New York, New York gcc9004@med.cornell.edu.ORCID https://orcid.org/0000-0001-9925-0816

Funding

Blood Pressure, Cerebral Perfusion & Cognitive Outcome In Hypertension.R01HL111724 · NHLBI · WEILL MEDICAL COLL OF CORNELL UNIV · PI GLODZIK, LIDIA · 2012 to 2025
$6.6M
Prism-PET/EMMT: High resolution, cost effective, portable, and upright brain PET scanner for early diagnosis of Alzheimer's diseaseU01AG082845 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI GLORIA Chia-Yi CHIANG, Amirhossein Goldan · 2024 to 2026
$3.7M
Hypertension, brain clearance and markers of neurodegenerationR01NS104364 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI GLODZIK, LIDIA · 2018 to 2022
$3.7M
Spatial dysregulation of the lipidome in Alzheimers disease human and mouse brainR01AG078800 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI Laura Beth Johnson McIntire, Vilas Menon · 2022 to 2026
$3.3M
Quantitative MRI-based cerebral oxygen metabolism in Alzheimer's diseaseR01AG080011 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI GLORIA Chia-Yi CHIANG, Yi Wang · 2023 to 2026
$3.3M
The effects of iron on oxidative stress and Alzheimer's biomarkers in amyloid-positive and negative elderly normalR01AG068398 · NIA · WEILL MEDICAL COLL OF CORNELL UNIV · PI CHIANG, GLORIA CHIA-YI · 2020 to 2024
$2.8M
NHLBI NIH HHS R01 HL111724NIA NIH HHS R01 AG068398NIA NIH HHS R01 AG078800NIA NIH HHS R01 AG080011NIA NIH HHS U01 AG082845NINDS NIH HHS R01 NS104364
6 · The paper itself

Abstract

background and purposeAccurate identification of cerebral β-amyloid (Aβ) accumulation is crucial for diagnosing Alzheimer disease (AD) and determining eligibility for anti-Aβ therapies. The Centiloid (CL) scale has emerged as a standardized method to harmonize Aβ PET quantification across different tracers and sites. We aimed to evaluate the concordance between CL quantification and visual interpretation in a cohort of cognitively impaired (CI) and unimpaired (CU) participants who underwent Aβ PET. MATERIALS AND

methodsTwo hundred twenty-one participants (mean age 69 ± 12.3 years) were prospectively enrolled in AD studies and underwent 247 Aβ PET scans, including 157 with [

resultsThe highest concordance rate for the whole cohort was 93% by using a CL cutoff of 18 (κ coefficient 0.84). Using FBB, the concordance rate was highest by using a CL cutoff of 24 (97%), whereas the concordance rate for PiB peaked at 94% at a CL cutoff of 18. Concordance was higher in negative rather than positive Aβ PET cases, 98% versus 90%. Concordance was slightly higher in CI participants compared with CU (96% versus 93%). Disagreement commonly occurred when focal areas of Aβ positivity were identified on visual interpretation but did not meet the threshold globally by CL quantification.

conclusionsGlobal CL quantification of Aβ PET scans is highly concordant with visual interpretation. Combining both methods may provide a more complete assessment of the extent of Aβ deposition in the brain.

Indexed as

Alzheimer DiseaseAmyloid beta-PeptidesBrainPositron-Emission TomographyAgedAged, 80 and overAniline CompoundsFemaleHumansMaleMiddle AgedRadiopharmaceuticalsReproducibility of ResultsSensitivity and SpecificityStilbenesThiazoles2-(4'-(methylamino)phenyl)-6-hydroxybenzothiazole4-(N-methylamino)-4'-(2-(2-(2-fluoroethoxy)ethoxy)ethoxy)stilbeneAmyloid beta-PeptidesAniline CompoundsRadiopharmaceuticalsStilbenesThiazoles

Identifiers

PMID40101933
PMCPMC12453481

What Socratic holds

Textmetadata
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Registered trials

None linked

Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the Socratic graph.