Evidence map›Paper›PMID 28559766›Full record

ArticleBreast care (Basel, Switzerland)2017

Combining Virtual Touch Tissue Imaging and BI-RADS May Improve Solid Breast Lesion Evaluation.

Size Wu, Xiaojing Cui, Li Huang, Xuefei Bai

Abstract read
In one paragraph

Article in Breast care (Basel, Switzerland), 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers, 1 of them a synthesis that pooled it.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed, 1 pooled it
–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 synthesis or guideline pooled it.

  1. Pooled it
  2. 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.

Size WuDepartment of Ultrasound, The First Affiliated Hospital of Hainan Medical University, Haikou, China.
Xiaojing CuiDepartment of Ultrasound, The First Affiliated Hospital of Hainan Medical University, Haikou, China.
Li HuangDepartment of Ultrasound, The First Affiliated Hospital of Hainan Medical University, Haikou, China.
Xuefei BaiDepartment of Ultrasound, The First Affiliated Hospital of Hainan Medical University, Haikou, China.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

backgroundUltrasound elastography (UE) is a novel imaging method. The purpose of this study was to determine the utility of Virtual Touch tissue imaging in the evaluation of solid breast lesions. PATIENTS AND

methods209 breast solid lesions in 192 patients that had been evaluated using ultrasound (US) and UE were reviewed and analyzed.

resultsThe sensitivity, specificity, accuracy, positive predictive value, and negative predictive value for UE, US, and US plus UE in the differentiation of malignant from benign breast lesions were 80.8, 75.6, 77.9, 73.1, and 82.8% for UE, 87.2, 86.1, 86.6, 83.7, and 89.2% for US, and 92.5, 86.9, 89.5, 85.3, and 93.4% for US plus UE. There were significant differences between UE and US plus UE (all p < 0.05). Except for accuracy, there were no significant differences between UE and US or US and US plus UE (all p > 0.05). The area under the curve obtained from the ROC curve for UE, US, and US plus UE in differentiating malignant from benign lesions was 0.845, 0.884, and 0.922, respectively.

conclusionThe UE scoring system is not superior to BI-RADS in the sonographic evaluation of solid breast lesions. Combined use may improve the performance.

Indexed as

Acoustic radiation force impulse, ARFIBreast lesionsCarcinomaUltrasoundUltrasound elastographyVirtual touch tissue imaging, VTI

Identifiers

PMID28559766
PMCPMC5447168

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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.