Skip to main page content
U.S. flag

An official website of the United States government

Dot gov

The .gov means it’s official.
Federal government websites often end in .gov or .mil. Before sharing sensitive information, make sure you’re on a federal government site.

Https

The site is secure.
The https:// ensures that you are connecting to the official website and that any information you provide is encrypted and transmitted securely.

Access keys NCBI Homepage MyNCBI Homepage Main Content Main Navigation
Meta-Analysis
. 2024 Jul-Aug;52(6):778-788.
doi: 10.1002/jcu.23690. Epub 2024 Apr 12.

Ultrasound-based radiomics for the differential diagnosis of breast masses: A systematic review and meta-analysis

Affiliations
Meta-Analysis

Ultrasound-based radiomics for the differential diagnosis of breast masses: A systematic review and meta-analysis

Xuerong Li et al. J Clin Ultrasound. 2024 Jul-Aug.

Abstract

Objectives: Ultrasound-based radiomics has demonstrated excellent diagnostic performance in differentiating benign and malignant breast masses. Given a few clinical studies on their diagnostic role, we conducted a meta-analysis of the potential effects of ultrasound-based radiomics for the differential diagnosis of breast masses, aiming to provide evidence-based medical basis for clinical research.

Materials and methods: We searched Embase, Web of Science, Cochrane Library, and PubMed databases from inception through to February 2023. The methodological quality assessment of the included studies was performed according to Quality Assessment of Diagnostic Accuracy Studies checklist. A diagnostic test accuracy systematic review and meta-analysis was performed in accordance with PRISMA guidelines. Sensitivity, specificity, and area under curve delineating benign and malignant lesions were recorded. We also used sensitivity analysis and subgroup analysis to explore potential sources of heterogeneity. Deeks' funnel plots was used to examine the publication bias.

Results: A total of 11 studies were included in this meta-analysis. For the diagnosis of malignant breast masses worldwide, the overall mean rates of sensitivity and specificity of ultrasound-based radiomics were 0.90 (95% confidence interval [CI], 0.83-0.95) and 0.89 (95% CI, 0.82-0.94), respectively. The summary diagnostic odds ratio was 76 (95% CI, 26-219), and the area under the curve for the summary receiver operating characteristic curve was 0.95 (95% CI, 0.93-0.97).

Conclusion: Ultrasound-based radiomics has the potential to improve diagnostic accuracy to discriminate between benign and malignant breast masses, and could reduce unnecessary biopsies.

Keywords: breast masses; diagnosis; meta‐analysis; radiomics; ultrasound.

PubMed Disclaimer

Similar articles

Cited by

References

REFERENCES

    1. Martin RF. Breast cancer. Surg Clin North Am. 2023;103(1):xiii‐xxiv.
    1. Clift AK, Hippisley‐Cox J, Dodwell D, et al. Development and validation of clinical prediction models for breast cancer incidence and mortality: a protocol for a dual cohort study. BMJ Open. 2022;12(3):e050828.
    1. Zhang H, Zhao T, Zhang S, et al. Prediction of axillary lymph node metastatic load of breast cancer based on ultrasound deep learning Radiomics nomogram. Technol Cancer Res Treat. 2023;22:15330338231166218.
    1. Zhu JY, He HL, Lin ZM, et al. Ultrasound‐based radiomics analysis for differentiating benign and malignant breast lesions: from static images to CEUS video analysis. Front Oncol. 2022;16(12):951973.
    1. Zheng X, Yao Z, Huang Y, et al. Deep learning radiomics can predict axillary lymph node status in early‐stage breast cancer. Nat Commun. 2020;11(1):1236.

LinkOut - more resources