Evidence map›Paper›PMID 39839006›Full record

ArticleQuantitative imaging in medicine and surgery2025

Diagnostic value of greyscale ultrasound combined with superb microvascular imaging in thyroid nodules: a systematic review and meta-analysis.

Wanying Li, Zhitong Ge, Siman Cai, Song Fang, Min Zhang, Hongyan Wang, Jianchu Li

Abstract read
In one paragraph

Article in Quantitative imaging in medicine and surgery, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing 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

2 citing papers in PubMed.

  1. Article
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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

7 authors.

Wanying LiDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-0965-134X
Zhitong GeDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0003-0861-6160
Siman CaiDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0002-0564-3844
Song FangDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0009-0009-9464-4627
Min ZhangDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0009-0000-8646-1075
Hongyan WangDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0003-2710-8698
Jianchu LiDepartment of Ultrasound, State Key Laboratory of Complex Severe and Rare Diseases, Peking Union Medical College Hospital, Chinese Academy of Medical Sciences and Peking Union Medical College, Beijing, China.ORCID https://orcid.org/0000-0001-9093-5309

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background: Superb microvascular imaging (SMI) is an advanced form of Doppler flow imaging which has advantages in tiny vessels and low-speed flow. This study aimed to evaluate the diagnostic performance of combining greyscale ultrasound (US) with SMI in differentiating between benign and malignant thyroid nodules. Methods: A search was conducted in PubMed, Embase, Cochrane Library, Scopus, and Web of Science for relevant studies published till 25 October 2023 that investigated the combined use of greyscale US and SMI to differentiate between benign and malignant thyroid nodules. A subgroup analysis was performed on the basis of different SMI diagnostic criteria for malignant thyroid nodules. The Quality Assessment of Diagnostic Accuracy Studies-2 (QUADAS-2) was used for quality assessment. The summary sensitivity, specificity, positive likelihood ratio (LR Results: A total of 10 original studies, encompassing 1,160 thyroid nodules, 556 of which were malignant, were included in the analysis. The area under the curve (AUC) of greyscale US combined with SMI in diagnosing malignant thyroid nodules was 0.92 [95% confidence interval (CI): 0.89-0.94]. The summary sensitivity and specificity were 0.90 (95% CI: 0.77-0.96) and 0.74 (95% CI: 0.54-0.88) for greyscale US combined with rich vascularity on SMI, 0.86 (95% CI: 0.76-0.92) and 0.83 (95% CI: 0.71-0.91) for greyscale US combined with vascular distribution on SMI, 0.87 (95% CI: 0.80-0.92) and 0.88 (95% CI: 0.81-0.93) for greyscale US combined with the penetrating vessel on SMI, respectively. Meta-regression analysis revealed that variations in sample size could be a source of heterogeneity. Conclusions: Although the SMI diagnostic criteria for malignant nodules varied among the studies, the combination of greyscale US with SMI demonstrates great diagnostic performance for the differentiation of benign and malignant thyroid nodules. However, more studies are still needed on the standardized SMI diagnostic criteria for thyroid nodules.

Indexed as

superb microvascular imaging (SMI)Thyroid noduleultrasound (US)vascularity

Identifiers

PMID39839006
PMCPMC11744117

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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.