Evidence map›Paper›PMID 33392026›Full record

ArticleQuantitative imaging in medicine and surgery2021

Parametric estimation of reference signal intensity in the quantification of amyloid-beta deposition: an

Min Wang, Zhuangzhi Yan, Huiwei Zhang, Jiaying Lu, Ling Li, Jintai Yu, Jian Wang, Hiroshi Matsuda, Chuantao Zuo, Jiehui Jiang and 1 more

Open access · diamondAbstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.

0numbers the graph read from it
0cells of the map it votes in
5citing papers in PubMed
1.2field-weighted citation impact, top 21% 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

5 citing papers in PubMed, 10 citations in OpenAlex.

  1. Cerebellar cortical amyloid deposition biasesEuropean journal of nuclear medicine and molecular imaging · 2026
    Article
  2. Article
  3. Article
  4. Comparing Amyloid Imaging Normalization Strategies for Alzheimer's Disease Classification using an Automated Machine Learning Pipeline.AMIA Joint Summits on Translational Science proceedings. AMIA Joint Summits on Translational Science · 2023
    Article
  5. 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

11 authors at 2 institutions in 2 countries.

Min WangShanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China.
Zhuangzhi YanInstitute of Biomedical Engineering, School of Communication and Information Engineering, Shanghai University, Shanghai, China.
Huiwei ZhangPET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Jiaying LuPET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Ling LiPET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Jintai YuDepartment of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Jian WangDepartment of Neurology and Institute of Neurology, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Hiroshi MatsudaIntegrative Brain Imaging Center, National Center of Neurology and Psychiatry, Kodaira, Tokyo, Japan.
Chuantao ZuoPET Center, Huashan Hospital, Shanghai Medical College, Fudan University, Shanghai, China.
Jiehui JiangShanghai Institute for Advanced Communication and Data Science, School of Communication and Information Engineering, Shanghai University, Shanghai, China.
Alzheimer’s Disease Neuroimaging Initiative
Fudan University · CNShanghai University · CN

Funding

Alzheimer's Disease Neuroimaging Initiative - SupplementU01AG024904 · NIA · NORTHERN CALIFORNIA INSTITUTE RES &EDUC · PI WEINER, MICHAEL W · 2004 to 2015
$121.0M
NIA NIH HHS U01 AG024904
6 · The paper itself

Abstract

backgroundPositron emission tomography (PET) with the radiotracer florbetapir (

methodsWe enrolled 479 people with

resultsThe SUVRs derived from PERSI-WM showed significantly higher trace retention in the frontal, parietal, temporal, and occipital lobes, as well as in the anterior cingulate, posterior cingulate, precuneus, and global cortex in the AD Aβ-positive (+) group (mean: +43.3%±5.4%, P<0.01) and MCI Aβ+ group (mean: +29.6%±5.3%, P<0.01). For the global cortex, PERSI-WM had the greatest Cohen's d effect size compared with the HC Aβ-negative (-) group (AD Aβ+ and MCI Aβ+: 3.02, AD Aβ+: 3.56, MCI Aβ+: 2.34), and the highest area under the curve (AUC) between the HC Aβ- and AD Aβ+ groups (AUC: 0.983, 95% confidence interval: 0.978-0.998).

conclusionsPERSI-WM could mitigate the influence of PVE and improve the semi-quantification of

Indexed as

Alzheimer’s disease (AD)Amyloid-beta (Aβ)florbetapir positron emission tomographyparametric estimation of reference signal intensity (PERSI)quantificationstandardized uptake value ratio (SUVR)

Identifiers

PMID33392026
PMCPMC7719939
OpenAlexW3091882765

What OpenQuestion holds

Textmetadata
Read underepoch 390

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 OpenQuestion graph.