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The potential of multiparametric contrast-enhanced ultrasound to detect and predict sentinel lymph node status in invasive breast cancer

https://doi.org/10.24835/1607-0763-1617

Abstract

Axillary mapping and assessment of axillary lymph node status remains a key staging issue for determining treatment strategies and algorithms for patients with invasive breast cancer. Various ultrasound techniques (elastography, color Doppler, and SMI) are used to improve diagnostic accuracy. In recent years, ultrasound contrast agents have been widely adopted, increasing the diagnostic capabilities of ultrasound.

The aim: to evaluate the diagnostic efficiency of CEUS and multiparametric ultrasound with the inclusion of the ultrasound contrast technique in preoperative detection and prediction of metastases in the SLN.

Materials and methods. This study included a comprehensive analysis of data from 120 up-front patients with invasive breast cancer to evaluate the diagnostic value of qualitative (contrast patterns), quantitative, combined and multiparametric (combined CEUS parameters + B-mode) models.

Results. Axillary lymph node metastases were detected in 29.2% of cases; the proportion of pN+ patients increased from patterns I–II to IV–V (up to 71–100%; p<0.001); combining patterns III–VI versus I–II yielded an OR of 6.0. B-mode showed a leading role in predicting metastasis based on cortical thickening of more than 3 mm (p < 0.001; AUC 0.84), transverse size and blood flow type in the color Doppler imaging mode had moderate information content (p = 0.02 and p = 0.077, respectively). Integration of features improved accuracy: combined model – AUC 0.686, sensitivity – 60%, specificity – 81.2%, and multiparametric (combined with the addition of B-mode and color Doppler imaging) – the highest values (AUC 0.78; sensitivity 65.8%, specificity 80%).

Conclusion. Intradermal paraareolar ultrasound injection of contrast agent provides a high rate of lymph node (SLN) identification and predict the status and metastatic burden of axillary lymph nodes. Multiparametric ultrasound, combining B-mode, color Doppler, and CEUS improves the diagnostic accuracy of axillary staging in patients with breast cancer.

About the Authors

Yu. V. Bikeev
National Medical Research Center for Obstetrics, Gynecology and Perinatology named after academician V.I. Kulakov of the Ministry of Healthcare of the Russian Federation
Russian Federation

Yury V. Bikeev – Cand. of Sci. (Med.), oncologist, ultrasound specialist, departments of ultrasound and functional diagnostics, breast pathology department, National Medical Research Center for Obstetrics, Gynecology and Perinatology named after academician V.I. Kulakov of the Ministry of Healthcare of the Russian Federation, Moscow
https://orcid.org/0009-0000-3757-5025 



M. V. Rodionova
National Medical Research Center for Obstetrics, Gynecology and Perinatology named after academician V.I. Kulakov of the Ministry of Healthcare of the Russian Federation
Russian Federation

Mariya V. Rodionova – Cand. of Sci. (Med.), oncologist, Breast Pathology Department, National Medical Research Center for Obstetrics, Gynecology and Perinatology named after academician V.I. Kulakov of the Ministry of Healthcare of the Russian Federation, Moscow
https://orcid.org/0000-0003-1540-5644



A. N. Sencha
National Medical Research Center for Obstetrics, Gynecology and Perinatology named after academician V.I. Kulakov of the Ministry of Healthcare of the Russian Federation; Russian Medical Academy of Continuous Professional Education of the Ministry of Healthcare of the Russian Federation
Russian Federation

Alexander N. Sencha – Doct. of Sci. (Med.), Head of the Diagnostic Imaging Department, Professor, National Medical Research Center for Obstetrics, Gynecology and Perinatology named after academician V.I. Kulakov of the Ministry of Healthcare of the Russian Federation;
Professor of the Department of Ultrasound Diagnostics, Pirogov Russian National Research Medical University, Moscow
https://orcid.org/0009-0005-1597-1920



V. V. Rodionov
National Medical Research Center for Obstetrics, Gynecology and Perinatology named after academician V.I. Kulakov of the Ministry of Healthcare of the Russian Federation
Russian Federation

Valery V. Rodionov – Doct. of Sci. (Med.),  Head of the Breast Pathology Department, National Medical Research Center for Obstetrics, Gynecology and Perinatology named after academician V.I. Kulakov of the Ministry of Healthcare of the Russian Federation, Moscow
https://orcid.org/0000-0002-4589-3645



V. V. Kometova
National Medical Research Center for Obstetrics, Gynecology and Perinatology named after academician V.I. Kulakov of the Ministry of Healthcare of the Russian Federation
Russian Federation

Vlada V. Kometova – Cand. of Sci. (Med.), Head of the Oncoathology Department, National Medical Research Center for Obstetrics, Gynecology and Perinatology named after academician V.I. Kulakov of the Ministry of Healthcare of the Russian Federation, Moscow
https://orcid.org/0000-0001-9666-6875



I. V. Kolyadina
National Medical Research Center for Obstetrics, Gynecology and Perinatology named after academician V.I. Kulakov of the Ministry of Healthcare of the Russian Federation; Pirogov Russian National Research Medical University
Russian Federation

Irina V. Kolyadina – Doct. of Sci. (Med.), Professor, Leading Research Fellow, Breast Pathology Department, National Medical Research Center for Obstetrics, Gynecology and Perinatology named after academician V.I. Kulakov of the Ministry of Healthcare of the Russian Federation; Professor, Department of Oncology and Palliative Medicine, Russian Medical Academy of Continuous Professional Education (RMANPO), Moscow
https://orcid.org/0000-0002-1124-6802



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For citations:


Bikeev Yu.V., Rodionova M.V., Sencha A.N., Rodionov V.V., Kometova V.V., Kolyadina I.V. The potential of multiparametric contrast-enhanced ultrasound to detect and predict sentinel lymph node status in invasive breast cancer. Medical Visualization. 2026;30(1):68-80. (In Russ.) https://doi.org/10.24835/1607-0763-1617

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ISSN 1607-0763 (Print)
ISSN 2408-9516 (Online)