Evidence map›Paper›PMID 39570447›Full record

ArticleEJNMMI research2024

Impact of shortening time on diagnosis of

Phuong T H Trinh, Doo-Young Kim, Kang-Ho Choi, Jahae Kim

Abstract read
In one paragraph

Article in EJNMMI research, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Review
  2. Impact of reducedEJNMMI physics · 2026
    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

4 authors.

Phuong T H TrinhDepartment of Artificial Intelligence Convergence, Chonnam National University, 77, Yongbong-Ro, Buk-Gu, Gwangju, 61186, Republic of Korea.
Doo-Young KimDepartment of Artificial Intelligence Convergence, Chonnam National University, 77, Yongbong-Ro, Buk-Gu, Gwangju, 61186, Republic of Korea.
Kang-Ho ChoiDepartment of Neurology, Chonnam National University Medical School and Hospital, 42, Jebongro, Dong-Gu, Gwangju, 61469, Republic of Korea. ckhchoikang@hanmail.net.
Jahae KimDepartment of Artificial Intelligence Convergence, Chonnam National University, 77, Yongbong-Ro, Buk-Gu, Gwangju, 61186, Republic of Korea. jhbt0607@hanmail.net.ORCID http://orcid.org/0000-0003-4077-7722

Funding

Institute of Information & communications Technology Planning & Evaluation IITP-2023-RS-2023-00256629National Research Foundation of Korea Grant funded by the Korean Government J. KimNational Research Foundation of Korea Grant funded by the Korean Government NRF-2020R1A2C1101082
6 · The paper itself

Abstract

background

resultsWe analyzed 307 PET scans from our memory clinic, each followed up for a minimum of two years. The scans, conducted 90 to 110 min after approximately 300 MBq of

conclusionsThis study demonstrated that 5 min image scans with an optimal threshold of CL = 21.86 exhibited minimal bias in SUVR and Centiloid values compared to longer scans (10, 15, and 20 min). Our findings suggest that shorter scan times are a viable and effective option for brain amyloid PET imaging in clinical settings.

Indexed as

Alzheimer’s diseaseAmyloidCentiloid thresholdFlorbetabenPETShortening time

Identifiers

PMID39570447
PMCPMC11582261

What OpenQuestion holds

Textmetadata
LicenceCC BY-NC-ND
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.