Evidence map›Paper›PMID 40879061›Full record

ArticleCancer medicine2025

Prospective Validation of an Ultrasound Capsule-Based Model for Predicting Follicular Thyroid Carcinoma Without High-Risk Features.

Xiang-Yun Yao, Xin Li, Fang Mei, Bo Yu, Shi-Bing Song, Li-Gang Cui, Shi Tan

Abstract readValidation Study
In one paragraph

Article in Cancer medicine, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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0cells of the map it votes in
1citing papers in PubMed
–field-weighted citation impact
1 · What the graph read from it

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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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3 · Its place in the literature

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1 citing paper in PubMed.

  1. Article
4 · The record

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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

7 authors.

Xiang-Yun YaoDepartment of Ultrasound, Peking University Third Hospital, Beijing, China.
Xin LiDepartment of General Surgery, Peking University Third Hospital, Beijing, China.
Fang MeiDepartment of Pathology, Peking University Third Hospital, School of Basic Medical Sciences, Peking University Health Science Center, Beijing, China.
Bo YuDepartment of Ultrasound, Peking University Third Hospital, Beijing, China.
Shi-Bing SongDepartment of General Surgery, Peking University Third Hospital, Beijing, China.
Li-Gang CuiDepartment of Ultrasound, Peking University Third Hospital, Beijing, China.
Shi TanDepartment of Ultrasound, Peking University Third Hospital, Beijing, China.ORCID https://orcid.org/0009-0003-2444-5354

Funding

Demonstration study on the clinical application evaluation of domestic high-end medical imaging equipment in the diagnosis and treatment of common diseases in major countries along the 'Belt and Road'
6 · The paper itself

Abstract

backgroundThe surgical indications for follicular thyroid neoplasms (FTNs) remain controversial due to challenges in the preoperative follicular thyroid carcinoma (FTC) diagnosis. We aimed to explore the sonographic features of the FTN capsule and establish a prediction model for diagnosing FTC without high-risk features.

methodsThis prospective cohort study enrolled consecutive adult patients with FTN. Patients presenting with extrathyroidal extension or extracapsular angioinvasion on preoperative imaging were excluded. Intraoperative ultrasound (US)-guided incisions were conducted in 20 patients during thyroidectomy. Sonographic features of FTN capsules were identified and validated through comparison with US, macroscopic, and microscopic pathology images from the same US-selected section. Invaded capsules were categorized based on pathological indicators of capsular invasion. The diagnostic performance of the US capsule-based model and US risk stratification systems (American College of Radiology Thyroid Imaging Reporting and Data System [ACR-TIRADS] and Ultrasound Follicular Thyroid Imaging Reporting and Data System [F-TIRADS]) were compared.

resultsSeventy-four patients with unifocal lesions and 14 patients with multifocal lesions were enrolled and pathologically diagnosed with follicular thyroid adenoma (n = 67) and FTC (n = 35). As widely invasive FTC was initially excluded, there were 34 minimally invasive subtypes and 1 encapsulated angioinvasive subtype. The areas under the curves for the US capsule-based model, ACR-TIRADS, and F-TIRADS were 0.839 (95% confidence interval [CI], 0.753-0.904), 0.852 (95% CI, 0.768-0.914), and 0.840 (95% CI, 0.755-0.905), respectively. No significant differences were observed in the areas under the curves, sensitivity, or accuracy of the US capsule-based model, ACR-TIRADS, and F-TIRADS. The specificities of the US capsule-based model and F-TIRADS were higher than that of the ACR-TIRADS (88.1% and 80.60%, respectively, vs. 44.8%, p < 0.05).

conclusionsCareful US scanning enables clear FTN capsule visualization, providing a straightforward, specific method for diagnosing FTC and guiding completion thyroidectomy by detecting intracapsular angioinvasion in patients with FTC.

Indexed as

Adenocarcinoma, FollicularThyroid NeoplasmsAdultAgedFemaleHumansMaleMiddle AgedProspective StudiesThyroidectomyUltrasonographyYoung Adultcapsulefollicular thyroid carcinomaneoplasm invasivenessthyroidectomyultrasound imaging

Identifiers

PMID40879061
PMCPMC12395349

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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.