Evidence map›Paper›PMID 37581034›Full record

ArticleQuantitative imaging in medicine and surgery2023

Feasibility evaluation of middle-phase

Cheng-Han Wu, Yueh-Hsun Lu, Tse-Hao Lee, Chun-Yuan Tu, Jong-Ling Fuh, Yuh-Feng Wang, Bang-Hung Yang

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

0numbers the graph read from it
0cells of the map it votes in
1citing 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

1 citing paper in PubMed.

  1. Florbetaben amyloid PET acquisition time: Influence on Centiloids and interpretation.Alzheimer's & dementia : the journal of the Alzheimer's Association · 2024
    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

7 authors.

Cheng-Han WuDepartment of Radiology, Taipei Medical University-Shuang Ho Hospital, New Taipei.
Yueh-Hsun LuDepartment of Radiology, Taipei Medical University-Shuang Ho Hospital, New Taipei.
Tse-Hao LeeDepartment of Nuclear Medicine, Taipei Veterans General Hospital, Taipei.
Chun-Yuan TuDepartment of Medical Imaging and Radiological Technology, Yuanpei University of Medical Technology, Hsinchu.
Jong-Ling FuhSchool of Medicine, National Yang Ming Chiao Tung University, Taipei.
Yuh-Feng WangDepartment of Nuclear Medicine, Taipei Veterans General Hospital, Taipei.
Bang-Hung YangDepartment of Nuclear Medicine, Taipei Veterans General Hospital, Taipei.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Methods: Paired middle-phase (60-80 min) FBB scans and standard (90-110 min) FBB scans were obtained from 27 subjects (12 neurodegenerative dementia, 8 mild cognitive impairment, 3 normal control, and 4 patients not suffering from neurodegenerative dementia). Standardized uptake value ratios (SUVRs) were calculated and converted to centiloid (CL) scale to investigate the impact on image quantification. CL pipeline validation were performed to build an equation converting the middle-phase data into equivalent standard scans. Cohen's kappa of binary interpretation and brain amyloid plaque load (BAPL) score were also used to evaluate the intrareader agreement of the FBB image from the two protocols. Results: The middle-phase FBB SUVR showed an excellent correlation, which provided a linear regression equation of SUVR Conclusions: Our findings indicate that the middle-phase FBB protocol is feasible in clinical applications for scans that are at either end of beta-amyloid spectrum, which provides comparable semiquantitative results to standard scan. Patient's waiting time between the injection and scan can be shortened.

Indexed as

brain amyloid plaque load (BAPL)centiloid (CL)Florbetaben (FBB)standardized uptake value ratio (SUVR)visual assessment

Identifiers

PMID37581034
PMCPMC10423384

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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.