ArticleMedicine2021
Diagnostic accuracy of ultrasound shear wave elastography combined with superb microvascular imaging for breast tumors: A protocol for systematic review and meta-analysis.
Article in Medicine, 2021. The graph could read no effect estimate from its abstract, so it casts no vote on the map. It is linked to trial NCT05927727 (Benign-Malign Differentiation Of Axillary Lymph Nodes), which is not on this map. Cited by 7 papers.
What it found
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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.
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.
Benign-Malign Differentiation Of Axillary Lymph Nodes: The Role Of Superb Microvascular Imaging
Who cites it
7 citing papers in PubMed, 13 citations in OpenAlex.
- Evaluating the Predictive Value of Post-Treatment Superb Microvascular Imaging for Complete Response to Neoadjuvant Chemotherapy in Invasive Breast Cancer.Bioengineering (Basel, Switzerland) · 2026Article
- Article
- Diagnostic value of mammography combined with ultrasound shear wave elastography and magnetic resonance imaging in breast cancer.Oncology letters · 2025Article
- Mathematical Models for Ultrasound Elastography: Recent Advances to Improve Accuracy and Clinical Utility.Bioengineering (Basel, Switzerland) · 2024Review
- Cancer cell response to extrinsic and intrinsic mechanical cue: opportunities for tumor apoptosis strategies.Regenerative biomaterials · 2024Review
- Quantitative Assessment of Breast-Tumor Stiffness Using Shear-Wave Elastography Histograms.Diagnostics (Basel, Switzerland) · 2022Article
- Value of Strain-Ratio Elastography in the Diagnosis and Differentiation of Uterine Fibroids and Adenomyosis.Journal of personalized medicine · 2021Article
Corrections and comments
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Authors and funding
3 authors at 1 institution in 1 country.
Funding
Abstract
backgroundShear wave elastography (SWE) is a new ultrasonic elastography technique for evaluating the hardness of living tissue by measuring the propagation velocity of shear wave in tissue, which is characterized by real-time, non-invasive and quantitative. The SWE technique can be used to diagnose the lesions of different tissues and organs, and the quantitative measurement of SWE is considered as more objective information about breast masses. Superb microvascular imaging (SMI) is a new noninvasive Doppler ultrasound imaging method, which can display blood flow information with high spatial resolution and high frame rate, while keeping the minimum low-speed blood flow components. Therefore, SMI can diagnose diseases closely related to angiogenesis at a relatively early stage. However, the results of these studies have been contradictory. The present meta-analysis aimed at determining the accuracy of SWE combined with SMI in the differential diagnosis between benign and malignant breast lesions.
methodsWe will search PubMed, Web of Science, Cochrane Library, and Chinese biomedical databases from their inceptions to the April 18, 2021, without language restrictions. Two authors will independently carry out searching literature records, scanning titles and abstracts, full texts, collecting data, and assessing risk of bias. Review Manager 5.2 and Stata14. 0 software will be used for data analysis.
resultsThis systematic review will determine the accuracy of shear wave elastography combined with superb microvascular imaging in the differential diagnosis between benign and malignant breast tumors.
conclusionIts findings will provide helpful evidence for the accuracy of shear wave elastography combined with superb microvascular imaging in the differential diagnosis between benign and malignant breast tumors. SYSTEMATIC REVIEW REGISTRATION: INPLASY202150075.
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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.