Evidence map›Paper›PMID 40621525›Full record

ArticlePakistan journal of medical sciences2025

Comparison of conventional ultrasonography and elastography ultrasound in detecting malignant cervical lymph nodes.

Jun Peng Zhang, Yan Fei Xia, Xue Han, Lin Shi

Abstract read
In one paragraph

Article in Pakistan journal of medical sciences, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.

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

What it found

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2 · The registry

The trial behind it

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3 · Its place in the literature

Who cites it

1 citing paper in PubMed.

  1. Article
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

4 authors.

Jun Peng ZhangJun Peng Zhang, Department of Ultrasonography, Shandong Provincial Hospital affiliated, Shandong First Medical University, Jinan, Shandong, 250021, China.
Yan Fei XiaYan Fei Xia, Department of Ultrasonography, Shandong Provincial Hospital affiliated, Shandong First Medical University, Jinan, Shandong, 250021, China.
Xue HanXue Han, Department of Ultrasonography, Shandong Provincial Hospital affiliated, Shandong First Medical University, Jinan, Shandong, 250021, China.
Lin ShiLin Shi, Department of Ultrasonography, Shandong Provincial Hospital affiliated, Shandong First Medical University, Jinan, Shandong, 250021, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

Background and Objective: In the contemporary landscape, conventional ultrasonography (US) stands as the primary modality for diagnosing cervical lymphadenopathy. While ultrasound elastography introduces an avenue for discerning the tissue hardness of lymph nodes (LNs) and contributes additional evidence for a conclusive diagnosis, skepticism persists among clinicians regarding its routine diagnostic utility, primarily attributed to the restricted case inclusion prevalent in most published reports. This study aimed to compare the performance of strain elastography (SE) and Virtual Touch Tissue Imaging Quantification (VTIQ) with that of conventional US for the measurement of cervical LNs. Methods: We performed a retrospective chart review of patients with cervical lymphadenopathy who underwent both conventional ultrasound (US) and elastography ultrasound at Shandong Provincial Hospital affiliated to Shandong First Medical University from January 2021 to December 2022.The stiffness of 123 abnormal cervical lymph nodes (LNs) in 106 patients, substantiated by pathologic diagnoses, was quantified through elastography. Conventional US, strain elastography (SE), and Virtual Touch Tissue Imaging Quantification (VTIQ) were employed for the comprehensive evaluation of all identified LNs. The diagnostic efficacy of elastography's quantitative analysis was meticulously assessed utilizing receiver operating characteristic (ROC) curves. Results: Pathological analysis affirmed malignancy in 89 out of 123 abnormal cervical lymph nodes (LNs) within the cohort of 106 patients. The area under the ROC curve (AUC) revealed a significantly greater discriminatory capacity for malignant LNs with Virtual Touch Tissue Imaging Quantification (VTIQ) compared to Strain Elastography (SE) (AUC, 0.84 vs. 0.74; z=2.83, p=0.005). VTIQ exhibited superior specificity, false-negative ratio, and false-positive ratio in contrast to SE. However, SE demonstrated heightened sensitivity in the detection of malignant LNs. Conclusions: Both Strain Elastography (SE) and Virtual Touch Tissue Imaging Quantification (VTIQ) demonstrated commendable diagnostic performance for malignant nodes, with VTIQ exhibiting superior conspicuity over SE. The amalgamation of conventional ultrasonography with elastography enhances the precision of ultrasound diagnosis in cervical lymph node diseases.

Indexed as

Cervical lymph nodesStrain elastographyUltrasonographyVirtual touch tissue imaging quantification

Identifiers

PMID40621525
PMCPMC12223736

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