Evidence map›Paper›PMID 28765627›Full record

ArticleScientific reports2017

Value of shear wave arrival time contour display in shear wave elastography for breast masses diagnosis.

Bang-Guo Zhou, Dan Wang, Wei-Wei Ren, Xiao-Long Li, Ya-Ping He, Bo-Ji Liu, Qiao Wang, Shi-Gao Chen, Azra Alizad, Hui-Xiong Xu

Registry-linked trialAbstract readEvaluation Study
PubMed Full text at PMC Publisher
In one paragraph

Article in Scientific reports, 2017. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT03391557 (Significance of Endoscopic Ultrasonography Guided Transbronchial Lymph Node Biopsy), which is not on this map. Cited by 3 papers.

0numbers the graph read from it
0cells of the map it votes in
3citing 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.

NCT03391557 naunknown statusnot on this map

Significance of Endoscopic Ultrasonography Guided Transbronchial Lymph Node Biopsy (TBNA) and Ultrasound Elastography in Lymph Node

TypeinterventionalSponsorFangsurongRan2016 to 2018Enrolled42ConditionsLung CancerArmsUE
3 · Its place in the literature

Who cites it

3 citing papers in PubMed.

  1. Article
  2. Article
  3. Diagnostic Performance of Superb Microvascular Imaging (SMI) Combined with Shear-Wave Elastography in Evaluating Breast Lesions.Medical science monitor : international medical journal of experimental and clinical research · 2018
    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

10 authors.

Bang-Guo ZhouDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.
Dan WangDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.
Wei-Wei RenDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.
Xiao-Long LiDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.
Ya-Ping HeDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.
Bo-Ji LiuDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.
Qiao WangDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China.
Shi-Gao ChenDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, Minnesota, 55905, USA.
Azra AlizadDepartment of Radiology, Mayo Clinic, 200 First Street SW, Rochester, Minnesota, 55905, USA.
Hui-Xiong XuDepartment of Medical Ultrasound, Shanghai Tenth People's Hospital, Ultrasound Research and Education Institute, Tongji University School of Medicine, Shanghai, 200072, China. xuhuixiong@126.com.

Funding

No grant is acknowledged in the PubMed record.

6 · The paper itself

Abstract

To evaluate the diagnostic performance of shear wave arrival time contour (SWATC) display for the diagnosis of breast lesions and to identify factors associated with the quality of shear wave propagation (QSWP) in breast lesions. This study included 277 pathologically confirmed breast lesions. Conventional B-mode ultrasound characteristics and shear wave elastography parameters were computed. Using the SWATC display, the QSWP of each lesion was assigned to a two-point scale: score 1 (low quality) and score 2 (high quality). Binary logistic regression analysis was performed to identify factors associated with QSWP. The area under the receiver operating characteristic curve (AUROC) for QSWP to differentiate benign from malignant lesions was 0.913, with a sensitivity of 91.9%, a specificity of 90.7%, a positive predictive value (PPV) of 74.0%, and a negative predictive value (NPV) of 97.5%. Compared with using the standard deviation of shear wave speed (SWS

Indexed as

AdolescentAdultAgedAged, 80 and overBreast NeoplasmsElasticity Imaging TechniquesFemaleHumansMiddle AgedNeoplasmsPredictive Value of TestsROC CurveSensitivity and SpecificityTime FactorsYoung Adult

Identifiers

PMID28765627
PMCPMC5539095

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Registered trials

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.