Evidence map›Paper›PMID 41353409›Full record

ArticleScientific reports2025

Super-resolution ultrasound quantifying microvascular alterations for early detection of metastatic cervical lymph nodes: a prospective diagnostic study.

Jun Zhang, Zhiyu Zhao, Xin Huang, Xingyue Huang, Yao Zhang, Yugang Hu, Qing Deng, Qing Zhou, Qing Zhou

Abstract read
In one paragraph

Article in Scientific reports, 2025. 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

9 authors.

Jun Zhang *Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, No. 99 Zhang Zhidong Road, Wuchang District, Wuhan, 430061, China.
Zhiyu Zhao *Department of Ultrasound Imaging, Renmin Hospital of Wuhan University, No. 99 Zhang Zhidong Road, Wuchang District, Wuhan, 430061, China.
Xin HuangDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, No. 99 Zhang Zhidong Road, Wuchang District, Wuhan, 430061, China.
Xingyue HuangDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, No. 99 Zhang Zhidong Road, Wuchang District, Wuhan, 430061, China.
Yao ZhangDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, No. 99 Zhang Zhidong Road, Wuchang District, Wuhan, 430061, China.
Yugang HuDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, No. 99 Zhang Zhidong Road, Wuchang District, Wuhan, 430061, China.
Qing DengDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, No. 99 Zhang Zhidong Road, Wuchang District, Wuhan, 430061, China.
Qing ZhouDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, No. 99 Zhang Zhidong Road, Wuchang District, Wuhan, 430061, China.
Qing ZhouDepartment of Ultrasound Imaging, Renmin Hospital of Wuhan University, No. 99 Zhang Zhidong Road, Wuchang District, Wuhan, 430061, China. qingzhou@whu.edu.cn.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate super-resolution ultrasound (SRUS) for characterizing microvascular morphology and hemodynamics in metastatic versus reactive cervical lymph nodes (LNs), with the aim of improving metastatic detection and reducing unnecessary biopsies. In this prospective study, 166 patients with histopathologically confirmed cervical LNs (77 metastatic, 89 reactive) underwent conventional ultrasound and contrast-enhanced SRUS (CE-SRUS) using a commercial US system and SonoVue

Indexed as

Lymphatic MetastasisLymph NodesMicrovesselsAdultAgedFemaleHumansMaleMiddle AgedNeckProspective StudiesROC CurveUltrasonographyDiagnostic performanceHemodynamicsLymph node metastasisMicrovascular imagingSuper resolution ultrasound

Identifiers

PMID41353409
PMCPMC12796359

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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.