Evidence map›Paper›PMID 41976294›Full record

ArticleCancers2026

The Value of Multimodal Ultrasound in Differentiating Benign from Malignant Cytologically Indeterminate Thyroid Nodules.

Rong Yang, Yanfang Wang, Guo Chen, Xiaorong Lv, Yuanqing Zhang, Fang Nie

Abstract read
In one paragraph

Article in Cancers, 2026. 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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0citing papers in PubMed
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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

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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

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

6 authors.

Rong YangUltrasound Medical Center, The Second Hospital of Lanzhou University, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China.
Yanfang WangUltrasound Medical Center, The Second Hospital of Lanzhou University, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China.
Guo ChenUltrasound Medical Center, The Second Hospital of Lanzhou University, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China.
Xiaorong LvUltrasound Medical Center, The Second Hospital of Lanzhou University, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China.
Yuanqing ZhangUltrasound Medical Center, The Second Hospital of Lanzhou University, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China.
Fang NieUltrasound Medical Center, The Second Hospital of Lanzhou University, Cuiyingmen No. 82, Chengguan District, Lanzhou 730030, China.ORCID 0000-0001-9725-1743

Funding

National Natural Science Foundation of China 82371969、82460349
6 · The paper itself

Abstract

aimTo evaluate the diagnostic value of conventional ultrasound (CUS) and contrast-enhanced ultrasound (CEUS) features in differentiating benign from malignant Bethesda III/IV thyroid nodules, and to identify independent predictors of malignancy.

methodsWe retrospectively analyzed 164 surgically confirmed Bethesda III/IV thyroid nodules. CUS and CEUS features were evaluated by two experienced radiologists blinded to pathological outcomes. Univariate analysis compared features between benign and malignant groups. Multivariate logistic regression was used to identify independent predictors. Diagnostic models were constructed based on CUS alone, CEUS alone, and their combination, with performance evaluated using receiver operating characteristic (ROC) curve analysis. The area under the curve (AUC), sensitivity, specificity, positive predictive value (PPV), and negative predictive value (NPV) were calculated for each model.

resultsThe malignancy rate was 48.8% (80/164). Multivariate analysis identified microcalcifications (OR = 4.815,

conclusionsConventional ultrasound features provide good diagnostic value for Bethesda III/IV nodules, with high sensitivity and NPV suitable for clinical screening. The addition of CEUS offered limited incremental benefit in this specific population, suggesting that the diagnostic value of CEUS for differentiating benign from malignant cytologically indeterminate thyroid nodules (ITNs) may be limited.

Indexed as

Bethesda IIIcontrast-enhanced ultrasoundconventional ultrasoundFNABindeterminate thyroid nodules (ITNs)risk stratificationthyroid cancer

Identifiers

PMID41976294
PMCPMC13072330

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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.