Evidence map›Paper›PMID 33098803›Full record

ReviewThe Lancet. Neurology2020

PET imaging of neuroinflammation in neurological disorders.

William C Kreisl, Min-Jeong Kim, Jennifer M Coughlin, Ioline D Henter, David R Owen, Robert B Innis

Registry-linked trialOpen access · greenAbstract readReview
In one paragraph

Review in The Lancet. Neurology, 2020. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT06467773 (An Oberservational Study of Utility of TSPO-PET/MRI Using the Radiotracer), which is not on this map. Cited by 132 papers, 4 of them syntheses that pooled it.

0numbers the graph read from it
0cells of the map it votes in
132citing papers in PubMed, 4 pooled it
10.8field-weighted citation impact, top 1% 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.

NCT06467773 recruitingnot on this mapstarted 2024, after this paper: background citation

An Oberservational Study of Utility of TSPO-PET/MRI Using the Radiotracer ([18F]-DPA-714) in Surveillance of Neuroinflammation in the Central Nervous System

TypeobservationalSponsorTongji HospitalRan2024 to 2029Enrolled100ConditionsCentral Nervous System DiseasesArmsRadiation: PET-MRI with [18F]-DPA-714
3 · Its place in the literature

Who cites it

132 citing papers in PubMed, 4 syntheses or guidelines pooled it, 226 citations in OpenAlex.

  1. Pooled it
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  8. [Journal of cerebral blood flow and metabolism : official journal of the International Society of Cerebral Blood Flow and Metabolism · 2026
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  20. Clinical evaluation of deep learning-based CT-free PET reconstruction image: a dual-center study.European journal of nuclear medicine and molecular imaging · 2026
    Article

72 more citing papers are in PubMed but not listed here.

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

6 authors at 4 institutions in 2 countries.

William C KreislTaub Institute for Research on Alzheimer's Disease and the Aging Brain, Columbia University, New York, NY, USA.
Min-Jeong KimMolecular Imaging Branch, National Institute of Mental Health, Bethesda, MD, USA.
Jennifer M CoughlinDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins School of Medicine, Baltimore, MD, USA.
Ioline D HenterMolecular Imaging Branch, National Institute of Mental Health, Bethesda, MD, USA.
David R OwenDepartment of Brain Sciences, Imperial College London, London, UK.
Robert B InnisMolecular Imaging Branch, National Institute of Mental Health, Bethesda, MD, USA. Electronic address: robert.innis@mail.nih.gov.
National Institute of Mental Health · USColumbia University · USImperial College London · GBJohns Hopkins Medicine · US

Funding

Clinical Evaluation of PET RadiotracersZIAMH002852 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI INNIS, ROBERT · 2009 to 2025
$48.6M
Satellite Diagnostic and Treatment Clinic CoreP50AG008702 · NIA · COLUMBIA UNIV NEW YORK MORNINGSIDE · PI SMALL, SCOTT A · 1989 to 2019
$46.3M
Clinical Evaluation of PET RadiotracersZ01MH002852 · NIMH · NATIONAL INSTITUTE OF MENTAL HEALTH · PI INNIS, ROBERT · 2005 to 2008
$4.4M
Molecular imaging of brain injury and repair in NFL playersR01NS100847 · NINDS · JOHNS HOPKINS UNIVERSITY · PI COUGHLIN, JENNIFER MARIE · 2018 to 2023
$2.7M
Imaging inflammation and tau in elders with different clinical and biomarker profiles of Alzheimer’s diseaseK23AG052633 · NIA · COLUMBIA UNIVERSITY HEALTH SCIENCES · PI KREISL, WILLIAM CHARLES · 2016 to 2020
$789k
Intramural NIH HHS Z01 MH002852Intramural NIH HHS ZIA MH002852Medical Research Council MR/N008219/1Medical Research Council MR/T031891/1NIA NIH HHS K23 AG052633NIA NIH HHS P50 AG008702NINDS NIH HHS R01 NS100847
6 · The paper itself

Abstract

A growing need exists for reliable in-vivo measurement of neuroinflammation to better characterise the inflammatory processes underlying various diseases and to inform the development of novel therapeutics that target deleterious glial activity. PET is well suited to quantify neuroinflammation and has the potential to discriminate components of the neuroimmune response. However, there are several obstacles to the reliable quantification of neuroinflammation by PET imaging. Despite these challenges, PET studies have consistently identified associations between neuroimmune responses and pathophysiology in brain disorders such as Alzheimer's disease. Tissue studies have also begun to clarify the meaning of changes in PET signal in some diseases. Furthermore, although PET imaging of neuroinflammation does not have an established clinical application, novel targets are under investigation and a small but growing number of studies have suggested that this imaging modality could have a role in drug development. Future studies are needed to further improve our knowledge of the cellular mechanisms that underlie changes in PET signal, how immune response contributes to neurological disease, and how it might be therapeutically modified.

Indexed as

AnimalsAstrocytesBrainHumansInflammationMicrogliaNervous System DiseasesPositron-Emission Tomography

Identifiers

PMID33098803
PMCPMC7912433
OpenAlexW3093872762

What OpenQuestion holds

Textmetadata
LicenceTDM
Read underepoch 390

Registered trials

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.