Evidence map›Paper›PMID 40214892›Full record

ArticleEJNMMI research2025

AI may help to predict thyroid nodule malignancy based on radiomics features from [

Krystian Ślusarz, Mikolaj Buchwald, Adrian Szczeszek, Szymon Kupinski, Anna Gramek-Jedwabna, Wojciech Andrzejewski, Juliusz Pukacki, Robert Pękal, Marek Ruchała, Rafał Czepczyński and 1 more

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Article in EJNMMI research, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

What it found

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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

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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

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No citing paper in PubMed yet.

4 · The record

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5 · Who and what money

Authors and funding

11 authors.

Krystian Ślusarz *Department of Nuclear Medicine, Affidea, Poznan, Poland.ORCID http://orcid.org/0000-0002-7829-530X
Mikolaj Buchwald *Poznan Supercomputing and Networking Center, Polish Academy of Science, Poznan, Poland. mikolaj.buchwald@gmail.com.
Adrian SzczeszekPoznan Supercomputing and Networking Center, Polish Academy of Science, Poznan, Poland.
Szymon KupinskiPoznan Supercomputing and Networking Center, Polish Academy of Science, Poznan, Poland.
Anna Gramek-JedwabnaDepartment of Nuclear Medicine, Affidea, Poznan, Poland.
Wojciech AndrzejewskiPoznan Supercomputing and Networking Center, Polish Academy of Science, Poznan, Poland.
Juliusz PukackiPoznan Supercomputing and Networking Center, Polish Academy of Science, Poznan, Poland.
Robert PękalPoznan Supercomputing and Networking Center, Polish Academy of Science, Poznan, Poland.
Marek RuchałaDepartment of Endocrinology, Metabolism and Internal Medicine, Poznan University of Medical Sciences, Poznan, Poland.
Rafał CzepczyńskiDepartment of Nuclear Medicine, Affidea, Poznan, Poland.
Cezary MazurekPoznan Supercomputing and Networking Center, Polish Academy of Science, Poznan, Poland.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundThe number of thyroid cancer diagnoses has been increasing for several decades, with a significant part of cases being detected incidentally (thyroid incidentaloma, TI) by imaging studies performed for reasons other than thyroid disease, including PET/CT with [

resultsOf the 54 patients who presented focal [

conclusionsWith an AI-based algorithm using radiomics features it is possible to detect the malignancy of thyroid nodule. However, no statistically significant differences were observed between the AI and radiomics approach, and when using a conventional measure, i.e., SUV

Indexed as

AIMachine learningPET/CTRadiomicsThyroid cancerThyroid incidentaloma

Identifiers

PMID40214892
PMCPMC11992293

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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.