Evidence map›Paper›PMID 40180563›Full record

ArticleJournal of nuclear medicine : official publication, Society of Nuclear Medicine2025

Validating the Utility of Supervised Clustering Algorithm for Precise [

Youjin Lee, Thanh D Nguyen, Yong Du, Jennifer M Coughlin, Sara A Zein, Nicolas A Karakatsanis, Sadek Nehmeh, Martin G Pomper, Susan A Gauthier, Yeona Kang

Abstract readValidation Study
In one paragraph

Article in Journal of nuclear medicine : official publication, Society of Nuclear Medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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

0 citing papers in PubMed.

No citing paper in PubMed yet.

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

10 authors.

Youjin LeeDepartment of Mathematics, Pusan National University, Busan, Republic of Korea.
Thanh D NguyenDepartment of Radiology, Weill Cornell Medicine, New York, New York.
Yong DuRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Jennifer M CoughlinDepartment of Psychiatry and Behavioral Sciences, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Sara A ZeinDepartment of Radiology, Weill Cornell Medicine, New York, New York.
Nicolas A KarakatsanisDepartment of Radiology, Weill Cornell Medicine, New York, New York.
Sadek NehmehDepartment of Radiology, Weill Cornell Medicine, New York, New York.
Martin G PomperRussell H. Morgan Department of Radiology and Radiological Science, Johns Hopkins University School of Medicine, Baltimore, Maryland.
Susan A GauthierDepartment of Radiology, Weill Cornell Medicine, New York, New York.
Yeona KangLaboratory of Neuroimaging, National Institute on Alcohol Abuse and Alcoholism, National Institutes of Health, Bethesda, Maryland; yeona.kang@howard.edu.

Funding

Identifying mechanisms of tissue injury in MS lesions: a multi-modality imaging approachR01NS104283 · NINDS · WEILL MEDICAL COLL OF CORNELL UNIV · PI GAUTHIER, SUSAN A · 2018 to 2022
$2.2M
NINDS NIH HHS R01 NS104283
6 · The paper itself

Abstract

The reliance of quantitative PET imaging on the arterial input function makes brain PET challenging to perform in certain populations, limiting the sample size. To address this challenge, a supervised clustering algorithm (SVCA) has been introduced as an alternative. Our objective was to validate SVCA's performance for brain PET with [

Indexed as

AlgorithmsBrainImage Processing, Computer-AssistedPositron-Emission TomographyPyrazolesPyrimidinesAdultCarbon RadioisotopesCluster AnalysisClustering AlgorithmsFemaleHumansMaleMiddle AgedPyridinesPyrrolidinones1-((3-(methylpyridin-4-yl)methyl)-4-(3,4,5-trifluorophenyl)pyrrolidin-2-oneCarbon-11Carbon RadioisotopesPyrazolesPyridinesPyrimidinesPyrrolidinones[11C]DPA-713multiple sclerosisneuroinflammationPETsupervised clustering algorithm

Identifiers

PMID40180563
PMCPMC12051772

What OpenQuestion holds

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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.