Evidence map›Paper›PMID 34858859›Full record

ArticleFrontiers in oncology2021

Added Value of a New Strain Elastography Technique in Conventional Ultrasound for the Diagnosis of Breast Masses: A Prospective Multicenter Study.

Qi Wei, Yu-Jing Yan, Ge-Ge Wu, Xi-Rong Ye, Fan Jiang, Jie Liu, Gang Wang, Yi Wang, Yu Wang, Zhi-Ping Pan and 4 more

Open access · goldAbstract read
PubMed Full text at PMC Publisher
In one paragraph

Article in Frontiers in oncology, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 2 papers.

0numbers the graph read from it
0cells of the map it votes in
2citing papers in PubMed
0.8field-weighted citation impact, top 27% 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

2 citing papers in PubMed, 6 citations in OpenAlex.

  1. Review
  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

14 authors at 7 institutions in 1 country.

Qi WeiSino-German Tongji-Caritas Research Center of Ultrasound in Medicine, Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Yu-Jing YanSino-German Tongji-Caritas Research Center of Ultrasound in Medicine, Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Ge-Ge WuSino-German Tongji-Caritas Research Center of Ultrasound in Medicine, Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Xi-Rong YeDepartment of Medical Ultrasound, The Central Hospital of EDong Healthcare, Huangshi, China.
Fan JiangDepartment of Medical Ultrasound, The Second Hospital of Anhui Medical University, Hefei, China.
Jie LiuDepartment of Medical Ultrasound, Yichang General Hospital, Renmin Hospital of Three Gorges University, Yichang, China.
Gang WangDepartment of Medical Ultrasound, Taizhou Hospital of Zhejiang Province, Linhai, China.
Yi WangDepartment of Medical Ultrasound, Macheng People's Hospital, Macheng, China.
Yu WangDepartment of Medical Ultrasound, Xiangyang No. 1 People's Hospital, Affiliated Hospital of Hubei University of Medicine, Xiangyang, China.
Zhi-Ping PanDepartment of Medical Ultrasound, Yixing Traditional Chinese Medicine Hospital, Yixing, China.
Jin-Hua HuDepartment of Medical Ultrasound, Anqing First People's Hospital of Anhui Medical University, Anqing, China.
Juan SongDepartment of Medical Ultrasound, Xiangyang No. 1 People's Hospital, Affiliated Hospital of Hubei University of Medicine, Xiangyang, China.
Christoph F DietrichDepartment of Internal Medicine, Hirslanden Clinic, Bern, Switzerland.
Xin-Wu CuiSino-German Tongji-Caritas Research Center of Ultrasound in Medicine, Department of Medical Ultrasound, Tongji Hospital, Tongji Medical College, Huazhong University of Science and Technology, Wuhan, China.
Huazhong University of Science and Technology · CNHubei University of Medicine · CNAnhui Medical University · CNHuangshi Central Hospital · CNJiangsu University · CNTongji Hospital · CNZhejiang Taizhou Hospital · CN

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

objectiveThis study aimed to explore the value of elasticity score (ES) and strain ratio (SR) combined with conventional ultrasound in distinguishing benign and malignant breast masses and reducing biopsy of BI-RADS (Breast Imaging Reporting and Data System) 4a lesions.

methodsThis prospective, multicenter study included 910 patients from nine different hospitals. The acquisition and analysis of conventional ultrasound and strain elastography (SE) were obtained by radiologists with more than 5 years of experience in breast ultrasound imaging. The diagnostic sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and area under curve (AUC) of conventional ultrasound alone and combined tests with ES and/or SR were calculated and compared.

resultsThe optimal cutoff value of SR for differentiating benign from malignant masses was 2.27, with a sensitivity of 60.2% and a specificity of 84.8%. When combined with ES and SR, the AUC of the new BI-RADS classification increased from 0.733 to 0.824 (

conclusionsSE can be used as a useful and non-invasive additional method to improve the diagnostic performance of conventional ultrasound by increasing AUC and specificity and reducing the unnecessary biopsy of BI-RADS 4a lesions.

Indexed as

breast masseselasticity scorestrain elastographystrain ratioultrasound

Identifiers

PMID34858859
PMCPMC8631107
OpenAlexW3211465301

What OpenQuestion holds

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LicenceCC BY
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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.