Evidence map›Paper›PMID 42249361›Full record

ReviewBMC medical imaging2026

Radiomics in thyroid nodule assessment.

Wei Suo, Chunhui Guo, Xilei Zhang, Haixue Li, Weizhong Lai, Jianbing Zhang, Jilong Jin, Jie Zhang

Abstract readReview
In one paragraph

Review in BMC medical imaging, 2026. 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

8 authors.

Wei SuoThe First Clinical College of Changzhi Medical College, Changzhi, Shanxi, 046013, China.
Chunhui GuoDepartment of Nuclear Medicine, Air Force Medical Center, PLA, Beijing, 100142, China.
Xilei ZhangCollege of Stomatology, Guangxi Medical University, Nanning, Guangxi, 530021, China.
Haixue LiDepartment of Radiology, Jincheng General Hospital, Beishidian Town, Chengqu District, Jincheng City, 048006, China.
Weizhong LaiDepartment of Radiology, Jincheng General Hospital, Beishidian Town, Chengqu District, Jincheng City, 048006, China.
Jianbing ZhangDepartment of Radiology, Jincheng General Hospital, Beishidian Town, Chengqu District, Jincheng City, 048006, China.
Jilong JinDepartment of Radiology, Jincheng General Hospital, Beishidian Town, Chengqu District, Jincheng City, 048006, China.
Jie ZhangDepartment of Radiology, Jincheng General Hospital, Beishidian Town, Chengqu District, Jincheng City, 048006, China. zjresearchlab@163.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

This narrative review was conducted by searching PubMed and Google Scholar using keywords such as 'radiomics' AND 'thyroid nodules' from March 2019 to March 2024. Inclusion criteria focused on peer-reviewed studies in English on radiomics applications; 50 studies were ultimately evaluated after excluding non-relevant works. The purpose of this article is to systematize the utilization of radiomics in assessing thyroid nodules, aiming to furnish valuable theoretical insights. As an emerging interdisciplinary domain, radiomics integrates medical imaging with computer data analysis techniques, thus constituting a potent instrument for precise diagnosis and comprehensive evaluation of thyroid nodules. Through a scrutiny of the principles, methods, and applications of radiomics in thyroid nodule evaluation, we aim to elucidate its potential for enhancing diagnostic accuracy, assessing disease progression, and mitigating overdiagnosis. Additionally, this study offers a critical assessment of the inherent strengths and limitations of the employed methodology.Clinical trial number Not applicable.

Indexed as

Image Processing, Computer-AssistedRadiomicsThyroid NoduleDeep LearningHumansNeural Networks, ComputerApplicationMachine learningRadiomicsThyroid nodules

Identifiers

PMID42249361
PMCPMC13459934

What OpenQuestion holds

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LicenceCC BY-NC-ND
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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.