Evidence map›Paper›PMID 36749463›Full record

ArticleAnnals of nuclear medicine2023

Quantitative comparative analysis of amyloid PET images using three radiopharmaceuticals.

Young Jin Jeong, Hyun Jin Yoon, Do-Young Kang, Kyung Won Park

Open access · hybridAbstract read
In one paragraph

Article in Annals of nuclear medicine, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 12 papers.

0numbers the graph read from it
0cells of the map it votes in
12citing papers in PubMed
3.0field-weighted citation impact, top 9% of its field
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

12 citing papers in PubMed, 13 citations in OpenAlex.

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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

4 authors at 1 institution in 1 country.

Young Jin JeongDepartment of Nuclear Medicine, Dong-A University Hospital, Dong-A University College of Medicine and Medical Center, 1, 3ga, Dongdaesin-dong, Seo-gu, Busan, 602-715, Republic of Korea. nmjeong@gmail.com.ORCID http://orcid.org/0000-0001-7611-8185
Hyun Jin YoonDepartment of Nuclear Medicine, Dong-A University Hospital, Dong-A University College of Medicine and Medical Center, 1, 3ga, Dongdaesin-dong, Seo-gu, Busan, 602-715, Republic of Korea.
Do-Young KangDepartment of Nuclear Medicine, Dong-A University Hospital, Dong-A University College of Medicine and Medical Center, 1, 3ga, Dongdaesin-dong, Seo-gu, Busan, 602-715, Republic of Korea.
Kyung Won ParkDepartment of Neurology, Dong-A University Hospital, Dong-A University College of Medicine, Busan, Republic of Korea.
Dong-A University Hospital · KR

Funding

National Research Foundation of Korea 2022R1A2C1005016
6 · The paper itself

Abstract

objectiveAmyloid positron emission tomography (PET) with F-18 florbetaben (FBB), F-18 flutemetamol (FMM), and F-18 florapronol (FPN) is being used clinically for the evaluation of dementia. These radiopharmaceuticals are commonly used to evaluate the accumulation of beta-amyloid plaques in the brain, but there are structural differences between them. We investigated whether there are any differences in the imaging characteristics.

methodsA total of 605 subjects were enrolled retrospectively in this study, including healthy subjects (HS) and patients with mild cognitive impairment or Alzheimer's disease. Participants underwent amyloid PET imaging using one of the three radiopharmaceuticals. The PET images were analyzed visually and semi-quantitatively using a standardized uptake value ratio (SUVR). In addition, we calculated and compared the cut-off SUVR of the representative regions for each radiopharmaceutical that can distinguish between positive and negative scans.

resultsIn the negative images of the HS group, the contrast between the white matter and the gray matter was high in the FMM PET images, while striatal uptake was relatively higher in the FPN PET images. The SUVR showed significant differences across the radiopharmaceuticals in all areas except the temporal lobe, but the range of differences was relatively small. Accuracy levels for the global cut-off SUVR to discriminate between positive and negative images were highest in FMM PET, with a value of 0.989. FBB PET also showed a high value of 0.978, while FPN PET showed a relatively low value of 0.901.

conclusionsNegative amyloid PET images using the three radiopharmaceuticals showed visually and quantitatively similar imaging characteristics except in the striatum. Binary classification using the cut-off of the global cortex showed high accuracy overall, although there were some differences between the three PET images.

Indexed as

Alzheimer DiseaseRadiopharmaceuticalsAmyloidAmyloid beta-PeptidesAniline CompoundsBenzothiazolesBrainHumansPositron-Emission TomographyRetrospective StudiesAmyloidAmyloid beta-PeptidesAniline CompoundsBenzothiazolesflutemetamolRadiopharmaceuticalsAmyloid PETCut-offF-18 florapronolF-18 florbetabenF-18 flutemetamolStandardized uptake value ratio

Identifiers

PMID36749463
PMCPMC10129914
OpenAlexW4319333298

What OpenQuestion holds

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LicenceCC BY
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Registered trials

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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 OpenQuestion graph.