Evidence map›Paper›PMID 38535006›Full record

ReviewDiagnostics (Basel, Switzerland)2024

Current Trends and Applications of PET/MRI Hybrid Imaging in Neurodegenerative Diseases and Normal Aging.

Jonathan Lee, Jonathan Renslo, Kasen Wong, Thomas G Clifford, Bryce D Beutler, Paul E Kim, Ali Gholamrezanezhad

Open access · goldAbstract readReview
In one paragraph

Review in Diagnostics (Basel, Switzerland), 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 10 papers.

0numbers the graph read from it
0cells of the map it votes in
10citing papers in PubMed
6.5field-weighted citation impact, top 3% 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

10 citing papers in PubMed, 16 citations in OpenAlex.

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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 at 2 institutions in 1 country.

Jonathan LeeDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.ORCID 0000-0001-5220-1275
Jonathan RensloDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Kasen WongJohn A. Burns School of Medicine, University of Hawaii, Honolulu, HI 96813, USA.
Thomas G CliffordDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Bryce D BeutlerDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.ORCID 0000-0002-5071-1826
Paul E KimDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
Ali GholamrezanezhadDepartment of Radiology, Keck School of Medicine, University of Southern California, Los Angeles, CA 90033, USA.
University of Southern California · USUniversity of Hawaiʻi at Mānoa · US

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Dementia is a significant global health issue that is exacerbated by an aging population. Imaging plays an established role in the evaluation of patients with neurocognitive disorders such as dementia. In current clinical practice, magnetic resonance imaging (MRI) and positron emission tomography (PET) are primary imaging modalities used separately but in concert to help diagnose and classify dementia. The clinical applications of PET/MRI hybrid imaging in dementia are an active area of research, particularly given the continued emergence of functional MRI (fMRI) and amyloid PET tracers. This narrative review provides a comprehensive overview of the rationale and current evidence for PET/MRI hybrid dementia imaging from 2018 to 2023. Hybrid imaging offers advantages in the accuracy of characterizing neurodegenerative disorders, and future research will need to address the cost of integrated PET/MRI systems compared to stand-alone scanners, the development of new biomarkers, and image correction techniques.

Indexed as

agingAlzheimer’s diseaseartificial intelligencedementiahybrid imagingPET/MRIradiotracers

Identifiers

PMID38535006
PMCPMC10969187
OpenAlexW4392645442

What Socratic 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 Socratic graph.