Evidence map›Paper›PMID 33881633›Full record

ArticleEJNMMI research2021

Correlation of [

Jing Li, Emanuele Antonecchia, Marco Camerlenghi, Agostino Chiaravalloti, Qian Chu, Alfonso Di Costanzo, Zhen Li, Lin Wan, Xiangsong Zhang, Nicola D'Ascenzo and 2 more

Open access · goldAbstract read
In one paragraph

Article in EJNMMI research, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.

0numbers the graph read from it
0cells of the map it votes in
4citing papers in PubMed
0.8field-weighted citation impact, top 28% 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

4 citing papers in PubMed, 8 citations in OpenAlex.

  1. Article
  2. Article
  3. Article
  4. Review
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

12 authors at 6 institutions in 2 countries.

Jing LiDepartment of Biomedical Engineering, Huazhong University of Science and Technology, Luoyu Road, Wuhan, 430074, China.
Emanuele AntonecchiaDepartment of Biomedical Engineering, Huazhong University of Science and Technology, Luoyu Road, Wuhan, 430074, China.
Marco CamerlenghiNIM Competence Center for Digital Healthcare GmbH, Potsdamerplatz, 10, 10785, Berlin, Germany.
Agostino ChiaravallotiDepartment of Medical Physics and Engineering, Istituto Neurologico Mediterraneo NEUROMED I.R.C.C.S, Via Dell'Elettronica, 83008, Pozzilli, Italy. agostino.chiaravalloti@uniroma2.it.
Qian ChuTongji Medical College, Huazhong University of Science and Technology, Hangkong Road, Wuhan, 430030, China.
Alfonso Di CostanzoUniversita degli Studi del Molise, Via Francesco de Sanctis, 1, 10115, Campobasso, Italy.
Zhen LiTongji Medical College, Huazhong University of Science and Technology, Hangkong Road, Wuhan, 430030, China.
Lin WanDepartment of Software Engineering, Huazhong University of Science and Technology, Luoyu Road, Wuhan, 430074, China.
Xiangsong ZhangThe First Affiliated Hospital, Sun Yat-sen University, Zhongshan 2nd Road, Guangzhou, 510080, China.
Nicola D'AscenzoDepartment of Biomedical Engineering, Huazhong University of Science and Technology, Luoyu Road, Wuhan, 430074, China. ndasc@hust.edu.cn.ORCID http://orcid.org/0000-0002-3657-3607
Orazio SchillaciDepartment of Medical Physics and Engineering, Istituto Neurologico Mediterraneo NEUROMED I.R.C.C.S, Via Dell'Elettronica, 83008, Pozzilli, Italy.
Qingguo XieDepartment of Biomedical Engineering, Huazhong University of Science and Technology, Luoyu Road, Wuhan, 430074, China. qgxie@hust.edu.cn.
Istituto Neurologico Mediterraneo · ITHuazhong University of Science and Technology · CNTongji Hospital · CNUniversity of Rome Tor Vergata · ITSun Yat-sen University · CNUniversity of Molise · IT

Funding

MAECI Great Relevance 2019 contributions Italy-China PGR00846National Key Research and Development Program of China 2019YFC0118900National R&D Program for Major Research Instruments of Natural Science Foundation of China 61927801National R&D Program for Major Research Instruments of Natural Science Foundation of China 62027808PICASO 689209
6 · The paper itself

Abstract

backgroundWhen Alzheimer's disease (AD) is occurring at an early onset before 65 years old, its clinical course is generally more aggressive than in the case of a late onset. We aim at identifying [[Formula: see text]F]florbetaben PET biomarkers sensitive to differences between early-onset Alzheimer's disease (EOAD) and late-onset Alzheimer's disease (LOAD). We conducted [[Formula: see text]F]florbetaben PET/CT scans of 43 newly diagnosed AD subjects. We calculated 93 textural parameters for each of the 83 Hammers areas. We identified 41 independent principal components for each brain region, and we studied their Spearman correlation with the age of AD onset, by taking into account multiple comparison corrections. Finally, we calculated the probability that EOAD and LOAD patients have different amyloid-[Formula: see text] ([Formula: see text]) deposition by comparing the mean and the variance of the significant principal components obtained in the two groups with a 2-tailed Student's t-test.

resultsWe found that four principal components exhibit a significant correlation at a 95% confidence level with the age of onset in the left lateral part of the anterior temporal lobe, the right anterior orbital gyrus of the frontal lobe, the right lateral orbital gyrus of the frontal lobe and the left anterior part of the superior temporal gyrus. The data are consistent with the hypothesis that EOAD patients have a significantly different [[Formula: see text]F]florbetaben uptake than LOAD patients in those four brain regions.

conclusionsEarly-onset AD implies a very irregular pattern of [Formula: see text] deposition. The authors suggest that the identified textural features can be used as quantitative biomarkers for the diagnosis and characterization of EOAD patients.

Indexed as

Early-onset Alzheimer’s diseasePositron emission tomographyTextural analysis

Identifiers

PMID33881633
PMCPMC8060386
OpenAlexW3155337326

What OpenQuestion holds

Textmetadata
LicenceCC BY
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.