Evidence map›Paper›PMID 41010917›Full record

ReviewMedicina (Kaunas, Lithuania)2025

The Role of [18F]FDG PET-Based Radiomics and Machine Learning for the Evaluation of Cardiac Sarcoidosis: A Narrative Literature Review.

Francesco Dondi, Pietro Bellini, Roberto Gatta, Luca Camoni, Roberto Rinaldi, Gianluca Viganò, Michela Cossandi, Elisa Brangi, Enrico Vizzardi, Francesco Bertagna

Abstract readReview
PubMed Full text at PMC Publisher
In one paragraph

Review in Medicina (Kaunas, Lithuania), 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. Review
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.

Francesco DondiNuclear Medicine, Università degli Studi di Brescia and ASST Spedali Civili di Brescia, 25123 Brescia, Italy.ORCID 0000-0003-4839-9033
Pietro BelliniNuclear Medicine, ASST Spedali Civili di Brescia, 25123 Brescia, Italy.ORCID 0000-0002-3599-0492
Roberto GattaDipartimento di Scienze Cliniche e Sperimentali, Università degli Studi di Brescia, 25123 Brescia, Italy.ORCID 0000-0002-4716-9925
Luca CamoniNuclear Medicine, ASST Spedali Civili di Brescia, 25123 Brescia, Italy.ORCID 0000-0003-1654-323X
Roberto RinaldiNuclear Medicine, ASST Spedali Civili di Brescia, 25123 Brescia, Italy.
Gianluca ViganòClinical Engineering, ASST Spedali Civili di Brescia, 25123 Brescia, Italy.
Michela CossandiNuclear Medicine, ASST Spedali Civili di Brescia, 25123 Brescia, Italy.ORCID 0009-0009-8448-2118
Elisa BrangiCardiology Unit, ASST Spedali Civili di Brescia and Università degli Studi di Brescia, 25123 Brescia, Italy.
Enrico VizzardiCardiology Unit, ASST Spedali Civili di Brescia and Università degli Studi di Brescia, 25123 Brescia, Italy.ORCID 0000-0002-3544-6104
Francesco BertagnaNuclear Medicine, Università degli Studi di Brescia and ASST Spedali Civili di Brescia, 25123 Brescia, Italy.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

PubMed holds no abstract for this paper.

Indexed as

CardiomyopathiesFluorodeoxyglucose F18Machine LearningPositron-Emission TomographySarcoidosisHumansRadiomicsRadiopharmaceuticalsFluorodeoxyglucose F18Radiopharmaceuticals[18F]FDG[18F]fluorodeoxyglucosecardiac sarcoidosismachine learningPETPET/CTPET/MRpositron emission tomographyradiomicstexture analysis

Identifiers

PMID41010917
PMCPMC12471987

What OpenQuestion 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 OpenQuestion graph.