ArticleJournal of clinical ultrasound : JCU
Application of Multimodal Ultrasound Combined With BI-RADS in Classification and Diagnosis of Non-Mass Breast Lesions.
Article in Journal of clinical ultrasound : JCU. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 4 papers.
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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.
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Who cites it
4 citing papers in PubMed.
- Non-Mass Breast Lesions or General Malignancy Features?Journal of clinical ultrasound : JCU · 2026Article
- A Deep Learning Model Integrating Ultrasound Images and Multidimensional Clinical Information for Differentiating Benign and Malignant Non-Mass Lesions.Diagnostics (Basel, Switzerland) · 2026Article
- Progress in Ultrasound Research on Non-Mass Breast Lesions: Definition, Classification, and Differential Diagnosis.Diagnostics (Basel, Switzerland) · 2026Review
- Application of Multimodal Ultrasound Combined With BI-RADS in Classification and Diagnosis of Non-Mass Breast Lesions.Journal of clinical ultrasound : JCUArticle
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Authors and funding
9 authors.
Funding
No grant is acknowledged in the PubMed record.
Abstract
introductionThe primary objective of this study is to assess the diagnostic accuracy of multimodal ultrasound, including microvascular flow imaging (MVFI), shear wave elastography (SWE), and contrast-enhanced ultrasound (CEUS), in conjunction with the breast imaging reporting and data system (BI-RADS) for non-mass breast lesions (NMLs).
methodsA total of 100 patients who received treatment in our hospital from April 2021 to June 2024 were retrospectively collected. All patients had complete pre-operative ultrasound BI-RADS, MVFI, SWE, and CEUS. The sensitivity, specificity, positive predictive value, negative predictive value, and accuracy were calculated; the diagnostic efficacy of the methods was compared, and the diagnostic performance of the subjects was plotted.
resultsThe agreement between the BI-RADS-MVFI-SWE-CEUS alone and the pathological results was very high, with a Kappa value of 0.806. The area under the curve (AUC) of the combined diagnosis of MVFI-SWE-CEUS and BI-RADS-MVFI-SWE-CEUS was 0.885 (p < 0.001) and 0.922 (p < 0.001). The sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), and accuracy of BI-RADS-MVFI-SWE-CEUS for the diagnosis of NMLs were higher than those of the diagnosis alone (p < 0.05), with 95.24%, 89.19%, 93.75%, 91.67%, and 93%, respectively.
conclusionThe combination of multimodal ultrasound and BI-RADS provides a significant improvement in the diagnostic accuracy and sensitivity for NMLs, offering a more comprehensive and reliable diagnostic tool for evaluating NMLs.
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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 Socratic graph.