The browser you are using is not supported by this website. All versions of Internet Explorer are no longer supported, either by us or Microsoft (read more here: https://www.microsoft.com/en-us/microsoft-365/windows/end-of-ie-support).

Please use a modern browser to fully experience our website, such as the newest versions of Edge, Chrome, Firefox or Safari etc.

Sophia Zackrisson, MD, PhD. Photo.

Sophia Zackrisson

Manager

Sophia Zackrisson, MD, PhD. Photo.

Predicting pathological axillary lymph node status with ultrasound following neoadjuvant therapy for breast cancer

Author

  • Ida Skarping
  • Daniel Förnvik
  • Sophia Zackrisson
  • Signe Borgquist
  • Lisa Rydén

Summary, in English

Purpose: High-performing imaging and predictive markers are warranted to minimize surgical overtreatment of the axilla in breast cancer (BC) patients receiving neoadjuvant chemotherapy (NACT). Here we have investigated whether axillary ultrasound (AUS) could identify axillary lymph node (ALN) metastasis (ALNM) pre-NACT and post-NACT for BC. The association of tumor, AUS features and mammographic density (MD) with axillary-pathological complete response (axillary-pCR) post-NACT was also assessed. Methods: The NeoDense-study cohort (N = 202, NACT during 2014–2019), constituted a pre-NACT cohort, whereas patients whom had a cytology verified ALNM pre-NACT and an axillary dissection performed (N = 114) defined a post-NACT cohort. AUS characteristics were prospectively collected pre- and post-NACT. The diagnostic accuracy of AUS was evaluated and stratified by histological subtype and body mass index (BMI). Predictors of axillary-pCR were analyzed, including MD, using simple and multivariable logistic regression models. Results: AUS demonstrated superior performance for prediction of ALNM pre-NACT in comparison to post-NACT, as reflected by the positive predictive value (PPV) 0.94 (95% CI 0.89–0.97) and PPV 0.76 (95% CI 0.62–0.87), respectively. We found no difference in AUS performance according to neither BMI nor histological subtype. Independent predictors of axillary-pCR were: premenopausal status, ER-negativity, HER2-overexpression, and high MD. Conclusion: Baseline AUS could, to a large extent, identify ALNM; however, post-NACT, AUS was insufficient to determine remaining ALNM. Thus, our results support the surgical staging of the axilla post-NACT. Baseline tumor biomarkers and patient characteristics were predictive of axillary-pCR. Larger, multicenter studies are needed to evaluate the performance of AUS post-NACT.

Department/s

  • Breast cancer prevention & intervention
  • Breastcancer
  • LUCC: Lund University Cancer Centre
  • Medical Radiation Physics, Malmö
  • Radiology Diagnostics, Malmö
  • EpiHealth: Epidemiology for Health
  • Breast Cancer Surgery

Publishing year

2021

Language

English

Pages

131-144

Publication/Series

Breast Cancer Research and Treatment

Volume

189

Issue

1

Document type

Journal article

Publisher

Springer

Topic

  • Cancer and Oncology

Keywords

  • Axillary lymph nodes
  • Breast cancer
  • Imaging
  • Neoadjuvant chemotherapy
  • Ultrasound

Status

Published

Research group

  • Breast cancer prevention & intervention
  • Medical Radiation Physics, Malmö
  • Radiology Diagnostics, Malmö
  • Breast Cancer Surgery

ISBN/ISSN/Other

  • ISSN: 0167-6806