Evidence map›Paper›PMID 38075563›Full record

ArticleJournal of the Endocrine Society2023

Contrast Enhancement Ultrasound Improves Diagnostic Accuracy for Thyroid Nodules: A Prospective Multicenter Study.

Jianming Li, Jianping Dou, Huarong Li, Fan Xiao, Jie Yu, Mingxing Xie, Ping Zhou, Lei Liang, Guiming Zhou, Ying Che and 5 more

Open access · goldAbstract read
In one paragraph

Article in Journal of the Endocrine Society, 2023. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 8 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
8citing papers in PubMed, 1 pooled it
1.0field-weighted citation impact, top 21% of its field
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

8 citing papers in PubMed, 1 synthesis or guideline pooled it, 5 citations in OpenAlex.

  1. Pooled it
  2. Article
  3. Article
  4. Article
  5. Review
  6. Article
  7. Review
  8. Medullary Thyroid Carcinoma: Imaging.Recent results in cancer research. Fortschritte der Krebsforschung. Progres dans les recherches sur le cancer · 2025
    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

15 authors at 8 institutions in 1 country.

Jianming LiDepartment of Interventional Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
Jianping DouDepartment of Interventional Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
Huarong LiDepartment of Ultrasound, Aero-space Center Hospital, Beijing 100049, China.
Fan XiaoDepartment of Interventional Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
Jie YuDepartment of Interventional Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
Mingxing XieDepartment of Ultrasound Medicine, Union Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan 430022, China.ORCID https://orcid.org/0000-0003-4984-1567
Ping ZhouDepartment of Ultrasound, Third Xiangya Hospital, Central South University, Guangdong 410008, China.
Lei LiangDepartment of Ultrasound, Aero-space Center Hospital, Beijing 100049, China.
Guiming ZhouDepartment of Ultrasound, Tianjin Medical University General Hospital, Tianjin 300052, China.
Ying CheDepartment of Ultrasound, The First Affiliated Hospital of Dalian Medical University, Dalian 116011, China.
Cun LiuDepartment of Ultrasound, Jinan Central Hospital, Shandong First Medical University & Shandong Academy of Medical Sciences, Jinan 250199, China.
Zhibin CongDepartment of Ultrasound, Affiliated Hospital of Changchun University of Chinese Medicine, Changchun 130021, China.
Fangyi LiuDepartment of Interventional Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100853, China.
Zhiyu HanDepartment of Interventional Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0001-6687-1413
Ping LiangDepartment of Interventional Ultrasound, Fifth Medical Center of Chinese PLA General Hospital, Beijing 100853, China.ORCID https://orcid.org/0000-0001-8933-6392
Chinese PLA General Hospital · CNAerospace Center Hospital · CNCentral South University · CNChangchun University of Chinese Medicine · CNDalian Medical University · CNJinan Central Hospital · CNTianjin Medical University General Hospital · CNUnion Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Objective: To evaluate potential improvements in the diagnosis of thyroid nodules when conventional ultrasound (US) is combined with contrast-enhanced US (CEUS). Methods: We recruited 515 participants with 323 malignant and 192 benign nodules, who underwent both US and CEUS examinations at 8 different medical centers in China between October 2020 and October 2021. We assessed the malignancy of thyroid nodules in US using the American College of Radiology (ACR) Thyroid Imaging Reporting and Data System (TIRADS). Diagnostic criteria for US and US + CEUS were developed by investigators based on evaluations of sonographic features. Using multivariate logistic regression and receiver operating characteristic (ROC) analysis, we compared diagnostic performance between the 2 methods based on criteria identified by investigators and via statistical models. Results: On the basis of diagnostic criteria identified by investigators, we measured statistically significant differences in area under the curve (AUC) values between ACR TIRADS (0.83) and CEUS TIRADS (0.87; Conclusion: The accuracy of conventional US for differentiating between benign and malignant thyroid nodules can be improved by combining this approach with CEUS.

Indexed as

contrast-enhanced ultrasoundthyroid carcinomathyroid noduleultrasound

Identifiers

PMID38075563
PMCPMC10699741
OpenAlexW4389084106

What OpenQuestion holds

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Registered trials

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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.