The Usefulness of Ultrasound Surveillance for Axillary Recurrence in Women With Personal History of Breast Cancer

Overview

Journal J Breast Cancer

Date 2022 Feb 8

PMID 35133092

Authors

Sung Ui Shin

Jung Min Chang

Jiwon Park

Han-Byoel Lee

Wonshik Han

Woo Kyung Moon

Affiliations

Soon will be listed here.

Abstract

Purpose: To evaluate the axillary recurrence rate and usefulness of axillary ultrasound (AUS) during supplementary whole-breast ultrasound (US) screening in women with a personal history of breast cancer (PHBC).

Methods: A retrospective database search identified consecutive asymptomatic women who underwent postoperative supplemental whole-breast US screening, including that of the bilateral axillae, after negative findings on mammography between January and June 2017. Using the pathologic data or at least 1-year follow-up data as reference standards, the axillary recurrence rate, cancer detection rate (CDR), interval axillary recurrence rate per 1,000 screenings, sensitivity, specificity, and abnormal interpretation rate (AIR) were estimated.

Results: From the data of 4,430 women (mean age, 55.0 ± 10.1 years) analyzed in this study, there were five axillary recurrence cases (1.1/1,000) in the median follow-up period of 57.2 months. AUS showed a CDR of 0.2 (1/4,430; 95% confidence interval [CI], 0.01-1.3) and an interval axillary recurrence rate of 0.9 (4/4,402; 95% CI, 0.2-2.3) per 1,000 examinations. The sensitivity and specificity were 20.0% (1/5; 95% CI, 0.5-71.6), and 99.4% (4,398/4,425; 95% CI, 99.1-99.6), respectively, while the AIR was 0.6% (28/4,430; 95% CI, 0.4-0.9%).

Conclusion: In asymptomatic women with a PHBC and negative findings on mammography, axillary recurrence after breast cancer and axillary treatment was uncommon, and the supplemental AUS screening yielded 0.2 cancers per 1,000 examinations.

Citing Articles

Determination of axillary lymph node status by fine-needle aspiration: preoperative axillary staging postoperative surveillance for breast cancers.

An T, Han B, Choi J, Ko E, Ko E, Kim H Quant Imaging Med Surg. 2024; 14(4):2946-2954.

PMID: 38617152 PMC: 11007500. DOI: 10.21037/qims-23-1452.

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