ArticleFrontiers in oncology2024
Multimodal ultrasound imaging: a method to improve the accuracy of sentinel lymph node diagnosis in breast cancer.
Article in Frontiers in oncology, 2024. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 5 papers.
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Who cites it
5 citing papers in PubMed, 7 citations in OpenAlex.
- Diagnosis of axillary lymph node metastasis in breast cancer: a systematic review and meta-analysis of the literature on ultrasound and magnetic resonance imaging published from 2014 to 2025.Quantitative imaging in medicine and surgery · 2026Article
- Gradient perfusion features can effectively identify sentinel lymph node metastasis in early breast cancer.BMC cancer · 2025Article
- The Diagnostic Value of Multimodal Contrast-Enhanced Ultrasound in Sentinel Lymph Nodes After Neoadjuvant Therapy for Breast Cancer.Diagnostics (Basel, Switzerland) · 2025Article
- Multi-Modality Ultrasound Model for Renal Fibrosis Assessment in Chronic Kidney Disease: Integrating Grayscale and Color Doppler Ultrasound Radiomics with Shear Wave Elastography.International journal of general medicine · 2025Article
- 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
6 authors at 2 institutions in 1 country.
Funding
No grant is acknowledged in the PubMed record.
Abstract
Aim: This study assessed the utility of multimodal ultrasound in enhancing the accuracy of breast cancer sentinel lymph node (SLN) assessment and compared it with single-modality ultrasound. Methods: Preoperative examinations, including two-dimensional ultrasound (2D US), intradermal contrast-enhanced ultrasound (CEUS), intravenous CEUS, shear-wave elastography (SWE), and surface localization, were conducted on 86 SLNs from breast cancer patients. The diagnostic performance of single and multimodal approaches for detecting metastatic SLNs was compared to postoperative pathological results. Results: Among the 86 SLNs, 29 were pathologically diagnosed as metastatic, and 57 as non-metastatic. Single-modality ultrasounds had AUC values of 0.826 (intradermal CEUS), 0.705 (intravenous CEUS), 0.678 (2D US), and 0.677 (SWE), respectively. Intradermal CEUS significantly outperformed the other methods (p<0.05), while the remaining three methods had no statistically significant differences (p>0.05). Multimodal ultrasound, combining intradermal CEUS, intravenous CEUS, 2D US, and SWE, achieved an AUC of 0.893, with 86.21% sensitivity and 84.21% specificity. The DeLong test confirmed that multimodal ultrasound was significantly better than the four single-modal ultrasound methods (p<0.05). Decision curve analysis and clinical impact curves demonstrated the superior performance of multimodal ultrasound in identifying high-risk SLN patients. Conclusion: Multimodal ultrasound improves breast cancer SLN identification and diagnostic accuracy.
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