Evidence map›Paper›PMID 41891419›Full record

ArticleCancer medicine2026

Post-Neoadjuvant Chemotherapy Axillary Ultrasound in cN+ Breast Cancer: Can It Reliably Support de-Escalation of Axillary Surgery?

Sara Albasini, Camilla Rossetti, Roberta Brancaccio, Elena Orvieto, Daniela Bossi, Matilde Pelizzola, Marta Truffi, Serena Mazzucchelli, Valentina Zanella, Arianna Bonizzi and 2 more

Abstract read
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Article in Cancer medicine, 2026. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Not yet cited in PubMed.

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1 · What the graph read from it

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2 · The registry

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3 · Its place in the literature

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4 · The record

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5 · Who and what money

Authors and funding

12 authors.

Sara AlbasiniBreast Unit, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.ORCID https://orcid.org/0000-0002-8764-3919
Camilla RossettiGeneral Surgery Residency Program, University of Milan, Milan, Italy.
Roberta BrancaccioGeneral Surgery Residency Program, University of Milan, Milan, Italy.
Elena OrvietoGeneral Surgery Residency Program, University of Milan, Milan, Italy.
Daniela BossiBreast Unit, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.
Matilde PelizzolaGeneral Surgery Residency Program, University of Milan, Milan, Italy.
Marta TruffiNanomedicine and Molecular Imaging LabIstituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.
Serena MazzucchelliDepartment of Biomedical and Clinical Sciences, University of Milan, Milan, Italy.
Valentina ZanellaBreast Unit, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.
Arianna BonizziNanomedicine and Molecular Imaging LabIstituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.
Carlo MorassoNanomedicine and Molecular Imaging LabIstituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.
Fabio CorsiBreast Unit, Istituti Clinici Scientifici Maugeri IRCCS, Pavia, Italy.

Funding

Ministry of Health
6 · The paper itself

Abstract

backgroundNeoadjuvant chemotherapy (NAC) in up to 40%-60% of node-positive (cN+) breast cancer patients allows nodal pathological complete response, particularly in Her2+ and triple-negative subtypes. Accurate post-NAC axillary restaging is therefore critical to identify candidates for surgical de-escalation. Axillary ultrasound (AUS) remains the most widely used tool, but prior studies report highly variable performance, with false-negative rates approaching 25%, raising concerns about its reliability as a standalone guide.

methodsWe retrospectively evaluated 413 patients with biopsy-proven cN+ breast cancer treated with NAC (2000-2024). All underwent AUS before surgery. AUS results (ycN0 vs. ycN+) were compared with final pathology (ypN0 vs. ypN+). Diagnostic performance was assessed, and predictors of false-negative AUS were identified using logistic regression.

resultsAUS classified 51.6% of patients as ycN0, whereas only 45% achieved nodal pathologic complete response. Overall, AUS demonstrated 68% sensitivity, 76% specificity, 72% accuracy, positive predictive value 78%, and negative predictive value 66%. Performance differed by subtype: accuracy was highest in ER-/Her2 tumors (75%), but markedly lower in Her2+ (69%) and lobular carcinoma (67%). On multivariate analysis, absence of breast clinical complete response (OR 2.38, 95% CI [1.14-4.93]) independently predicted false-negative AUS findings.

conclusionsAUS following NAC provides only moderate accuracy, with a clinically relevant risk in patients lacking breast response. AUS alone should not determine omission of axillary surgery. A multimodal, biology-informed strategy combining AUS with other imaging techniques is needed to safely guide axillary de-escalation and minimize both overtreatment and undertreatment.

Indexed as

Breast NeoplasmsLymph NodesAdultAgedAxillaChemotherapy, AdjuvantFemaleHumansLymphatic MetastasisMiddle AgedNeoadjuvant TherapyNeoplasm StagingPathologic Complete ResponseRetrospective StudiesUltrasonographyaxillary dissectionaxillary ultrasoundbreast cancerlymph node stagingneoadjuvant chemotherapysentinel lymph node biopsysurgical de‐escalation

Identifiers

PMID41891419
PMCPMC13140609

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