Evidence map›Paper›PMID 35054299›Full record

ArticleDiagnostics (Basel, Switzerland)2022

Simple Quantification of Surface Uptake in F-18 Florapronol PET/CT Imaging for the Validation of Alzheimer's Disease.

Do-Hoon Kim, Junik Son, Chae Moon Hong, Ho-Sung Ryu, Shin Young Jeong, Sang-Woo Lee, Jaetae Lee

Abstract read
In one paragraph

Article in Diagnostics (Basel, Switzerland), 2022. 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. Article
  2. 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.

Do-Hoon KimDepartment of Nuclear Medicine, Kyungpook National University School of Medicine and Hospital, Daegu 41944, Korea.ORCID 0000-0003-3703-9796
Junik SonDepartment of Nuclear Medicine, Kyungpook National University School of Medicine and Hospital, Daegu 41944, Korea.
Chae Moon HongDepartment of Nuclear Medicine, Kyungpook National University School of Medicine and Hospital, Daegu 41944, Korea.ORCID 0000-0002-5519-6982
Ho-Sung RyuDepartment of Neurology, Kyungpook National University School of Medicine and Hospital, Daegu 41944, Korea.
Shin Young JeongDepartment of Nuclear Medicine, Kyungpook National University School of Medicine and Hospital, Daegu 41944, Korea.
Sang-Woo LeeDepartment of Nuclear Medicine, Kyungpook National University School of Medicine and Hospital, Daegu 41944, Korea.
Jaetae LeeDepartment of Nuclear Medicine, Kyungpook National University School of Medicine and Hospital, Daegu 41944, Korea.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

We developed a novel quantification method named shape feature using F-18 florapronol positron emission tomography-computed tomography (PET/CT) and evaluated its sensitivity and specificity for discriminating between patients with Alzheimer's disease (AD) and patients with mild cognitive impairment or other precursors dementia (non-AD). We calculated the cerebral amyloid smoothing score (CASS) and brain atrophy index (BAI) using the surface area and volume of the region of interest in PET images. We calculated gray and white matter from trained CT data, prepared using U-net. Shape feature was calculated by multiplying CASS with BAI scores. We measured region-based standard uptake values (SUVr) and performed receiver operating characteristic (ROC) analysis to compare SUVr, shape feature, CASS, and BAI score. We investigated the relationship between shape feature and neuropsychological tests. Fifty subjects (23 with AD and 27 with non-AD) were evaluated. SUVr, shape feature, CASS, and BAI score were significantly higher in patients with AD than in those with non-AD. There was no statistically significant difference between shape feature and SUVr in ROC analysis. Shape feature correlated well with mini-mental state examination scores. Shape feature can effectively quantify beta-amyloid deposition and atrophic changes in the brain. These results suggest that shape feature is useful in the diagnosis of AD.

Indexed as

Alzheimer’s diseasebeta-amyloidbrain atrophy indexcerebral amyloid smoothing scoreF-18 florapronolpositron emission tomography

Identifiers

PMID35054299
PMCPMC8774321

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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.