Evidence map›Paper›PMID 26703166›Full record

SynthesisJournal of medical ultrasonics (2001)2016

Elastography by acoustic radiation force impulse technology for differentiation of benign and malignant breast lesions: a meta-analysis.

BaoXian Liu, YanLing Zheng, QuanYuan Shan, Ying Lu, ManXia Lin, WenShuo Tian, XiaoYan Xie

Abstract readMeta-Analysis
PubMed Publisher
In one paragraph

Synthesis in Journal of medical ultrasonics (2001), 2016. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 6 papers.

0numbers the graph read from it
0cells of the map it votes in
6citing 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

6 citing papers in PubMed.

  1. Article
  2. Review
  3. Article
  4. Article
  5. Article
  6. Review
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.

BaoXian LiuDivision of Interventional Ultrasound, Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-Sen University, 58 Zhong Shan Road 2, Guangzhou, 510080, China.
YanLing ZhengDivision of Interventional Ultrasound, Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-Sen University, 58 Zhong Shan Road 2, Guangzhou, 510080, China.
QuanYuan ShanDivision of Interventional Ultrasound, Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-Sen University, 58 Zhong Shan Road 2, Guangzhou, 510080, China.
Ying LuDivision of Interventional Ultrasound, Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-Sen University, 58 Zhong Shan Road 2, Guangzhou, 510080, China.
ManXia LinDivision of Interventional Ultrasound, Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-Sen University, 58 Zhong Shan Road 2, Guangzhou, 510080, China.
WenShuo TianDivision of Interventional Ultrasound, Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-Sen University, 58 Zhong Shan Road 2, Guangzhou, 510080, China.
XiaoYan XieDivision of Interventional Ultrasound, Department of Medical Ultrasonics, Institute of Diagnostic and Interventional Ultrasound, The First Affiliated Hospital of Sun Yat-sen University, Sun Yat-Sen University, 58 Zhong Shan Road 2, Guangzhou, 510080, China. xxy1992@21cn.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

purposeTo perform a meta-analysis assessing the ability of elastography by acoustic radiation force impulse (ARFI) technology to differentiate benign and malignant breast lesions.

methodsPubMed, the Cochrane Library, and the Web of Knowledge before September 24, 2014 were searched. Published studies that evaluated the diagnostic performance of ARFI for characterization of focal breast lesions were included.

resultsA total of fifteen studies, including 1720 patients with 1873 breast lesions (743 cancers, 1130 benign lesions), was analyzed. Among the included studies, virtual touch tissue imaging (VTI) was used in six studies, virtual touch tissue quantification (VTQ) in eight, combined VTI and VTQ in four, and virtual touch tissue imaging quantification (VTIQ) in three. Summary sensitivity and summary specificity for distinguishing malignant from benign breast lesions were 0.913 [95% confidence interval (CI), 0.779-0.969] and 0.871 (95% CI 0.773-0.930) for VTI, 0.849 (95% CI 0.805-0.884) and 0.889 (95% CI 0.771-0.950) for VTQ, and 0.935 (95% CI 0.892-0.961) and 0.881 (95% CI 0.818-0.924) for combined VTI and VTQ, respectively. The area under summary receiver operating characteristic (sROC) curve of VTI, VTQ, and combined VTI and VTQ were 0.95, 0.88, and 0.96, respectively. Significant publication bias was found only in the VTQ assessment (p = 0.025). The obtained sensitivity of VTIQ ranged from 80.4 to 90.3%, while the specificity ranged from 73.0 to 93.0%. The summary diagnostic value of VTIQ could not be evaluated due to insufficient data.

conclusionElastography by ARFI technology could be used as a good identification tool for differentiating benign and malignant breast lesions.

Indexed as

BreastBreast NeoplasmsElasticity Imaging TechniquesFemaleHumansUltrasonography, MammaryAcoustic radiation force impulseBreast cancerMeta-analysisVirtual touch tissue imagingVirtual touch tissue quantification

Identifiers

PMID26703166

What OpenQuestion holds

Textmetadata
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Registered trials

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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.