Evidence map›Paper›PMID 34972724›Full record

ArticleIn vivo (Athens, Greece)

VsN, a Reliability-index of Shear-wave Measurement in Sonoelastography, Is Useful for the Diagnosis of Thyroid Tumor Malignancy.

Tomoo Jikuzono, Osamu Ishibashi, Shoko Kure, Chiaki Itoh, Tetsu Yamada, Iwao Sugitani

Open access · diamondAbstract read
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Article in In vivo (Athens, Greece). The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing papers in PubMed
0.6field-weighted citation impact, top 30% 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

3 citing papers in PubMed, 5 citations in OpenAlex.

  1. Review
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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

6 authors at 3 institutions in 1 country.

Tomoo JikuzonoDepartment of Endocrine Surgery, Nippon Medical School, Tokyo, Japan.
Osamu IshibashiDepartment of Endocrine Surgery, Nippon Medical School, Tokyo, Japan; ishibashi@biochem.osakafu-u.ac.jp.
Shoko KureDepartment of Integrated Diagnostic Pathology, Nippon Medical School, Tokyo, Japan.
Chiaki ItohDynacom Company, Ltd, Chiba, Japan.
Tetsu YamadaDepartment of Endocrine Surgery, Kanaji Thyroid Hospital, Tokyo, Japan.
Iwao SugitaniDepartment of Endocrine Surgery, Nippon Medical School, Tokyo, Japan.
Nippon Medical School · JPNoguchi Thyroid Clinic and Hospital Foundation · JPOsaka Prefecture University · JP

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

BACKGROUND/

aimShear wave measurement (SWM) is a new elastography modality that quantifies the shear wave velocity (Vs) and the percentage of the net effective shear wave velocity (VsN). This study examined whether these parameters could be used to differentiate between malignant and benign thyroid tumors. PATIENTS AND

methodsThe study of SWM enrolled 111 patients (133 nodules) who underwent thyroid surgery. Overall, 61 nodules were diagnosed as benign and 72 as malignant, of which 68 nodules were diagnosed as papillary thyroid carcinoma (PTC) and 4 as follicular thyroid carcinoma (FTC).

resultsA preoperative SWM revealed that Vs was significantly higher and VsN significantly lower in the PTC compared to the benign nodules. The VsN of FTC was significantly lower than that of follicular adenoma. Multivariate analysis revealed that VsN significantly correlated with nodule malignancy.

conclusionSWM parameters, especially VsN, can potentially differentiate between benign and malignant thyroid nodules non-invasively.

Indexed as

Elasticity Imaging TechniquesThyroid NeoplasmsThyroid NoduleHumansReproducibility of ResultsThyroid Cancer, Papillaryfollicular thyroid carcinomapapillary thyroid carcinomaShear wave measurementthe percentage of the net amount of effective shear wave velocitythyroid nodules

Identifiers

PMID34972724
PMCPMC8765137
OpenAlexW4206558793

What OpenQuestion holds

Textmetadata
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Registered trials

None linked

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.